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== NLP: Two Research Scientist positions: 1) NLG and 2) Computational Semantics ==
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== Research Associate in Natural Language Processing and Machine Learning, National Centre for Text Mining, University of Manchester ==
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* Employer: University of Colorado Boulder
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*Employer: National Centre for Text Mining (NaCTeM), School of Computer Science, University of Manchester, UK
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* Rank or Title: Research Scientists
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*Title: Research Associate
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* Specialty: NLG, NLU, Computational Semantics, Spoken Dialogue Systems
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*Speciality: Natural Language Processing, Text Mining
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* Location: Boulder, CO, USA
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*Location: Manchester, UK
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* Deadline: Until filled
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*Deadline: October 3, 2015
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* Date Posted: 11 October 2011
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*Date posted: September 25, 2015
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* Contact email: Rodney.Nielsen@Colorado.edu
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*Contact: sophia.ananiadou@manchester.ac.uk
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* Website: http://www.RodneyNielsen.com
 
  
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Applications are invited for a researcher in NLP and machine learning at the National Centre for Text Mining (NaCTeM) (http://www.nactem.ac.uk), School of Computer Science, University of Manchester.
  
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The Companionbots project in the Computational Language and Education Research Center, Institute of Cognitive Science, University of Colorado, Boulder, invites applications for two postdoctoral Research Scientist positions in Human-Robot Dialogue: one in Natural Language Generation (NLG) and the second in Computational Semantics / Natural Language Understanding.
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The candidate will be joining a strong team with 10+ staff at NaCTeM carrying out cutting edge research in NLP, biomedical text mining and machine learning. The post is funded by the Medical Research Council and focuses on developing new algorithms for unsupervised and semi-supervised methods in information extraction, topic analysis, active learning, text classification using deep learning/neural networks to support the development of systematic reviews at the National Institute for Health and Care Excellence.
  
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Project Description
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Candidates should have a PhD in Computer Science with emphasis in Natural Language Processing and Machine Learning; excellent knowledge in unsupervised NLP methods, deep learning, neural networks; excellent knowledge in topic analysis, clustering and classification; track record of high-quality papers in conferences such as ACL, EMNLP, etc., and excellent programming skills.
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CU Boulder is leading a large collaborative NSF-funded project, “Companionbots for Proactive Therapeutic Dialog on Depression”, to conduct research on a new class of dialog-based, home robotic healthcare assistants to facilitate in-home, real-time care. The research team integrates a broad spectrum of expertise including Clinical & Psychiatric Healthcare, Speech, Dialog, Natural Language Processing, Robotics, Computer Vision, Machine Learning, Human Factors and Cognitive Science. The immediate project will result in enabling technology for home healthcare Companionbots that integrates language, vision, and emotive technology to proactively recognize situations and dialog with isolated and elderly patients suffering from depression.
+
* Duration of post: 1st November 2015 for 24 months
 +
* Salary: £30,434 to £37,394 per annum
  
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Object recognition and human activity recognition will augment natural language processing to provide current and historical context important to dynamic dialog. An emotive, physical avatar will provide an interaction mechanism with sufficient trust to extract meaningful information that may not be observable in the immediate environment. A central and unique aspect of the Companionbot’s dynamic dialog is the proactive generation of questions, which is driven by a user model including context, goals, health information, experiences, interests, and prior interactions. In addition to providing real-time intervention capabilities, the benefits of Companionbots include the continuous collection of physical and mental health data to improve doctor-patient interaction and enable data mining across patient cohort groups.
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'''Research Environment '''
  
 +
The National Centre for Text Mining has been a leading centre for biomedical text mining since 2004, with areas of expertise in information extraction, terminology management, text classification, text mining infrastructures and semantic search systems.
 +
NaCTeM is located in the Manchester Institute of Biotechnology (http://www.mib.manchester.ac.uk) and its staff belong to the 4th ranked Computer Science school in the UK (REF2014) which has been further assessed as having the "best environment in the UK for computer science and informatics research".
 +
NaCTeM is collaborating closely with the newly created Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology (AIST) in Japan (https://unit.aist.go.jp/airc//index.en.html), which focuses among others on data-knowledge integration, machine learning, natural language processing and text mining. The candidate will benefit from research stays and interactions with the team in Japan.
  
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Natural Language Generation (NLG) Position
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Informal enquiries can be made to Prof. Sophia Ananiadou (sophia.ananiadou@manchester.ac.uk)
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---------------
 
  
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The successful applicant will research and develop natural spoken dialogue generation components, with an emphasis on question generation, in the context of emotive, companion robots (Companionbots) communicating with isolated elderly suffering from depression. NLG will span multiple genres from casual conversation to goal-directed mental health education and training. It will also explore multiple techniques from more traditional Spoken Dialogue Systems (SDS) approaches to more recent text-to-text NLG methods. You will be encouraged to develop independent research ideas within the scope of the project, will play an active role in a variety of project areas, and will have the opportunity to apply your NLG expertise to a critical real-life problem in a multidisciplinary environment.
+
Application forms and further particulars: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=103224.
  
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The Companionbots project includes numerous collaborators. Key to this position, Kathy McKeown, Columbia University, will consult on the Natural Language Generation components and co-advise this post-doc. You will also interact closely with the project’s clinical experts in understanding subjects and developing healthcare-related dialogue strategies, with users to help guide and evaluate research & development, and with project members involved in SDS, Automatic Speech Recognition (ASR), NLU, Vision, and the physical & visual expression of emotion. The project will involve significant bidirectional interaction between these constituents and their associated system components.
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== Senior Research Fellow in Clinical Text Mining, National Centre for Text Mining, University of Manchester ==
 +
*Employer: National Centre for Text Mining (NaCTeM), School of Computer Science, University of Manchester, UK
 +
*Title: Senior Reaserch Fellow
 +
*Speciality: Natural Language Processing, Text Mining
 +
*Location: Manchester, UK
 +
*Deadline: October 1, 2015
 +
*Date posted: September 25, 2015
 +
*Contact: sophia.ananiadou@manchester.ac.uk
  
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This position is available immediately and is initially for one year, with the possibility of an extension up to three years based on performance.
+
Applications are invited for a senior research fellow in Clinical Text Mining at the National Centre for Text Mining (NaCTeM) (http://www.nactem.ac.uk) , School of Computer Science, University of Manchester.
  
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Qualifications
+
The candidate will be joining a large team working in a newly created interdisciplinary research centre (Manchester Molecular Pathology Innovation Centre, MMPathIC) funded by MRC/EPSRC, focusing on personalised or stratified medicine, identifying, validating and evaluating biomarkers for improving patient outcomes. The objectives of this post are to conduct research into extracting complex information from the scientific literature and clinical case reports to facilitate the discovery of biomarkers using adaptive natural language processing and text mining methods.
  
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* A PhD or equivalent in computer science, computational linguistics, or a closely related discipline
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Candidates should have a PhD in Computer Science with emphasis in Natural Language Processing/Text Mining; working experience in NLP/TM, in particular adaptive information extraction at large scale; excellent knowledge in developing and adapting algorithms and software for text mining systems; experience in biomedical and clinical text mining; strong track record of high-quality papers in conferences such as ACL, EMNLP, Coling, etc., and in high quality journals; strong Java skills, knowledge of UIMA and RDF/SPARQL are highly desirable; proven ability to develop independent research proposals appropriate to clinical text mining.
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* Rigorous experience and skills in NLG, preferably in conversational SDS, as evidenced by a publication record
 
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* Solid skills in the application of Machine Learning to computational linguistics tasks, evidenced by publications
 
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* Excellent software design and implementation skills
 
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* Good verbal communication and English writing skills
 
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* The ability to work both independently and in a multidisciplinary team
 
  
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* It is a plus (but not a requirement) to have working knowledge or preferably a publication record indicating experience in usability, cognitive science, user modeling, or discourse analysis related to NLG and SDS
+
* Duration of post: 1st November 2015 for 48 months
 +
* Salary: £38,511 to £42,067 per annum
  
 +
'''Research Environment '''
  
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Computational Semantics Position
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The National Centre for Text Mining has been a leading centre for biomedical text mining since 2004, with areas of expertise in information extraction, terminology management, text classification, text mining infrastructures and semantic search systems. NaCTeM is located in the Manchester Institute of Biotechnology (http://www.mib.manchester.ac.uk) and its staff belong to the 4th ranked Computer Science school in the UK (REF2014) which has been further assessed as having the "best environment in the UK for computer science and informatics research".
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---------------
 
  
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The successful applicant will research and develop NLP components, with an emphasis on semantic interpretation of spoken dialogue in the context of emotive, companion robots (Companionbots) communicating with isolated elderly who are suffering from depression. NLP will be used to develop a deep understanding and representation of a situation based on past and immediate context. The semantics extracted will be used to construct a user model and predict future adverse events and situations.  You will be encouraged to develop independent research ideas within the scope of the project, will play an active role in a variety of project areas, and will have the opportunity to apply your NLP expertise to a critical real-life problem in a multidisciplinary environment.
+
The Faculty of Medical and Human Sciences is a leading international centre for research and education in medicine with strong relationships with NHS partners and a key member of the Manchester Academic Health Science Centre. MMPathIC will draw on existing skills in biomarker discovery in Manchester, particularly within the context of the newly created £15M Stoller Biomarker Discovery Centre.
  
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The Companionbots project includes numerous collaborators. You will interact closely with the project’s clinical experts in understanding subjects and relevant healthcare-related dialogue, with users to help guide and evaluate research & development, with Vision researchers to enhance contextual understanding, with Automatic Speech Recognition (ASR) experts to improve ASR with semantic context, with a Natural Language Generation researcher to inform the spoken dialogue using deeper semantics, and with mechantronics researchers to ensure contextually appropriate emotive output. The project will involve significant bidirectional interaction between these constituents and their associated system components.
+
Informal enquiries can be made to Prof. Sophia Ananiadou (sophia.ananiadou@manchester.ac.uk)
  
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This position is available immediately and is initially for one year, with the possibility of extension based on performance.
+
Application forms and further particulars: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=10314.
  
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Qualifications
+
==Research Positions at AIRC (Artificial Intelligence Research Center), Japan==
 +
*Employer: Artificial Intelligence Research Center (AIRC), National Institute for Advanced Industrial Science and Technology (AIST)
 +
*Title: Post-doctoral research fellows
 +
*Speciality: Machine Learning, Deep Learning, Neuro-Computing, Natural Language Processing, Text Mining
 +
*Location: Tokyo, Japan
 +
*Deadline: October 16, 2015
 +
*Date posted: September 25, 2015
 +
*Contact: airc-recruit-ml@aist.go.jp
  
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* A PhD or equivalent in computer science, computational linguistics, or a closely related discipline
+
Applications are invited for several positions in Artificial Intelligence at the Artificial Intelligence Research Center (AIRC) (https://unit.aist.go.jp/airc//index.en.html) under the auspices of the National Institute for Advanced Industrial Science and Technology (AIST) (http://www.aist.go.jp/index_en.html).
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* Rigorous experience and skills in computational semantics, preferably in the context of conversational SDS, as evidenced by a strong publication record
+
Successful candidates will join a strong and expanding team of 35+ full-time researchers carrying out cutting edge research in AI.
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* Solid skills in the application of Machine Learning to computational linguistics tasks, evidenced by publications
 
−
* Excellent software design and implementation skills
 
−
* Good verbal communication and English writing skills
 
−
* The ability to work both independently and in a multidisciplinary team
 
  
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* It is a plus (but not a requirement) to have working knowledge or preferably a publication record indicating experience in user modeling, discourse analysis, and cognitive science related to SDS
+
Research at AIRC includes Machine Learning, Deep Learning, Planning and Search, Text Mining, NLP, Pattern Recognition, Brain Inspired Computation, and infrastructures for AI．With strong research links to industrial partners, there is a particular emphasis on applications of AI technology to real world problems as well as research into theories and fundamental AI technologies. We work in close cooperation with partners in both the private and public sector to cover a broad range of AI applications, including:
  
  
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The Center for Computational Language and Education Research (CLEAR)
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* Artificial Intelligence for Human Life: Health-care, Smart city and Smart home, Innovative Retailing and Tourism, etc.
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---------------
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* Artificial Intelligence for Manufacturing and Engineering: Intelligent Robots, Intelligent planning and control of manufacturing plants, etc.
 +
* Artificial Intelligence for Big Sciences: AI applications in Bio-Medical Science and Material Science, Geology, Computational Sociology, etc.       
  
−
You will be part of the Institute of Cognitive Science’s Center for Computational Language and Education Research (CLEAR), which includes prominent senior human language technology faculty Drs. James Martin (co-author of Speech and Language Processing), Martha Palmer (PropBank, VerbNet, …), Wayne Ward (an ASR and SDS pioneer, who will lead the speech aspects of Companionbots), and others. Including students, CLEAR consists of about 40 researchers with backgrounds in computer science, linguistics, machine learning, cognitive science, psychology, education and human computer interaction. The group’s research investigates a variety of topics and applications, but emphasizes the application of human language technologies to educational and medical applications. CLEAR is housed at the Center for Innovation and Creativity along side numerous researchers in allied fields including psycholinguistics, cognitive neuroscience, reading, and cognitive disability research. All of these factors make CU Boulder one of the leading institutions for research in computational semantics.
 
  
  
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Boulder, Colorado
+
The advertised posts are funded by a project supported by NEDO (http://www.nedo.go.jp/english/index.html), which aims to establish a core research center for AI in Japan. Depending on the expertise and interest of the candidate, s/he will focus either on basic research or application related research of AI to real world problems. AIRC will carry out research in close cooperation with national or international research institutions such as Riken, CMU, Toyota Technology Institute in Chicago, the University of Manchester and DFKI. 
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Boulder, just 25 miles from Denver, is a mid-sized community of 300,000 residents nestled along the Flatirons, at the foothills of the Rocky Mountains. Boulder’s citizens report the highest quality of life ratings in the United States among mid-sized cities, perhaps because of its balance of intellectual and outdoor recreational capital. Apart from the University of Colorado at Boulder, Colorado’s flagship university, Boulder is home to three major scientific National Institutes and numerous high-tech companies.
 
  
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Boulder boasts outstanding outdoor recreational opportunities. It was rated the "#1 Sports Town in America" by Outside Magazine. Boulder residents enjoy over 300 sunny days per year and immediate access to climbing, hiking, kayaking, and fishing within walking distance of the city center. World-class outdoor recreation is available in the 30,000 acres of open space parks surrounding Boulder, Rocky Mountain National Park (just 40 miles away), and 8 outstanding ski resorts (within 20-100 miles).
+
Candidates should have a PhD in Computer Science with an emphasis on one of the following areas: Machine Learning, Deep Learning, Neuro-Computing, Planning and Search, Natural Language Processing, Text Mining, and Algorithms and Infrastructures for Big Data Analysis. Excellent programming skills and an excellent track-record of high-quality papers in top-tier conferences and journals would be a definite advantage.
  
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In addition to its scientific and scholarly strengths, Boulder possesses a unique blend of cultural interests. Because of its desirability as a place to live, Boulder is also home to a high concentration of novelists, Olympic and other elite athletes. These groups together support over 300 restaurants, more than 30 art galleries, 4 local museums, 32 movie and stage theaters, and many festivals, including the Colorado Shakespeare Festival and the Colorado Music Festival.
 
  
 +
We have three categories of post-doctoral research fellows. The duration of employment for all three categories is initially 24 months, with a possible extension of 36 months or longer, depending on performance. The starting date of employment will be 1st December 2015 at the earliest.
  
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Application
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* Category A: Post-Doctoral Research Fellow - Salary 5,500,000 JPY to 7,000,000 JPY per annum
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---------------
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* Category B: Senior Post-Doctoral Research Fellow - Salary 7,000,000 JPY to 10,000,000 JPY per annum
 +
* Category C: Distinguished Research Fellow - Salary 10,000,000 JPY per annum
  
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Please email questions about these positions to the Companionbot’s Principal Investigator:
 
  
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Rodney.Nielsen@colorado.edu
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'''Research Environment'''
  
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Rodney Nielsen, Ph.D.
 
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Research Scientist
 
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Computational Language and Education Research Center
 
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Institute of Cognitive Science
 
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University of Colorado, Boulder
 
  
 +
AIST is one of the largest publicly funded research institutes in Japan and a single research institute under the Ministry of Economy, Trade and Industry (METI). AIRC is the newest research center within AIST, established in May, 2015.  As a core research center of AI in Japan, we have been establishing close cooperation with researchers at Japanese and international institutes, which include the University of Tokyo, Tokyo Institute of Technology, Riken, Osaka University, Tohoku University, National Institute of Informatics, Toyota Technology Institute in Chicago, CMU, University of Manchester and DFKI. 
  
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To apply follow the instructions at the Jobs at CU link below to submit your CV (with details regarding research experience), a statement of research interests, links to your most relevant papers, and a list of at least 3 references with email addresses.
 
  
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Natural Language Generation:
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AIRC is located in Odaiba, which is in one of the central districts of Tokyo, a bustling international city and the capital of Japan. Tokyo offers both the modern urban lifestyle of Japan as well as a rich Japanese heritage.  
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http://www.jobsatcu.com/applicants/Central?quickFind=66322
 
  
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Natural Language Understanding:
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Interested candidates are invited to send, via electronic mail, the following items to the Director of Artificial Intelligence Research Center (AIST), Prof. Junichi Tsujii (airc-recruit-ml@aist.go.jp):
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http://www.jobsatcu.com/applicants/Central?quickFind=66325
 
  
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* A cover letter that clearly indicates their main research interests
 +
* Curriculum Vitae
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* The contact details of 3 referees
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* Copies of maximum of 3 publications that you have (co-)authored, and which are representative of your past research achievements. Each publication should be accompanied by a short summary that highlights its major contributions
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* An agenda of future research goals. This should be no longer than one page, including figures
  
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The University of Colorado is an Equal Opportunity Employer committed to building a diverse workforce. We encourage applications from women, racial and ethnic minorities, individuals with disabilities and veterans. Alternative formats of this ad can be provided upon request for individuals with disabilities by contacting the ADA Coordinator at (303) 492-1334.
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Informal enquiries can be made to airc-recruit-ml@aist.go.jp
  
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The University of Colorado at Boulder conducts background checks on all final applicants being considered for employment.
 
  
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== Four positions in folktale analysis, classification and clustering ==
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NOTE: Please send your application to airc-recruit-ml@aist.go.jp directly via e-mail, and not by post. It is NOT necessary to follow the specific CV formats specified on the AIRC website.
  
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Applications are invited for two PhD-students, a post-doc researcher, and a scientific programmer. They will work on the automatic analysis, classification and clustering of Dutch folktales in a collaborative project within The Netherlands. The first PhD will work as part of the Tunes & Tales project, funded under the Computational Humanities programme of the Royal Netherlands Academy of Arts and Sciences (KNAW). The others will work in the FACT project (Folktales As Classifiable Texts), funded under the CATCH programme of the Netherlands Organisation for Scientific Research (NWO). Both are multidisciplinary research projects involving collaboration between computer science and humanities researchers. Because the research is focused on Dutch folktales, we expect the PhD-students and the postdoc to have at least passive knowledge of the Dutch language. For all positions, proficiency in Dutch is a plus.
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 +
 
 +
==Open Rank Tenure Line Position in Linguistics at Northwestern University==
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*Employer: Northwestern University
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*Title: Tenure-Line Professor (open rank)
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*Speciality: Open area
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*Location: Evanston, IL, USA
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*Deadline: December 1, 2015
 +
*Date posted: August 31, 2015
 +
*Contact: matt-goldrick@northwestern.edu
 +
 
 +
The Department of Linguistics at Northwestern University seeks to fill a tenure-line position (open rank) with a start date of September 1, 2016. We are looking for candidates who pursue an integrated approach to the scientific study of language, utilizing experimental methods, corpus analysis, and/or computational modeling to inform linguistic theory and its applications. The candidate will join a vibrant interdisciplinary language sciences community including researchers from cognitive science, cognitive neuroscience, computer science, philosophy, psychology, and speech science.
 +
 +
We seek exceptional candidates with forward-looking research programs that hold the promise of future external funding. Applicants that wish to be considered for appointment at the rank of Associate Professor or Professor are expected to have a record of excellence in research and teaching, success in obtaining external funding, and to have held both internal and external leadership roles.
 +
 +
To receive fullest consideration, applications should arrive by December 1, 2015. Candidates must hold a Ph.D. in Linguistics or a related field (e.g., Cognitive Neuroscience, Cognitive Science, Computer Science, Philosophy, Psychology, Speech and Hearing Sciences) by the start date. Please include a CV (including contact information), statements of research and teaching interests, reprints or other written work (including thesis chapters for ABD applicants), teaching evaluations (if available), and the names of three references (with their contact information). Please visit http://www.linguistics.northwestern.edu/ for online application instructions.
 +
 +
E-mail inquiries should be directed to Matt Goldrick, Chair (matt-goldrick@northwestern.edu). Northwestern University is an Equal Opportunity, Affirmative Action Employer of all protected classes including veterans and individuals with disabilities. Women and minorities are encouraged to apply. Hiring is contingent upon eligibility to work in the United States.
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 +
 
 +
== One PHD / POSTDOC position in Text Analysis at the University of Mannheim ==
 +
* Employer: The Data and Web Science Research Group, University of Mannheim, Germany
 +
* Title: PhD or Postdoctoral Research Fellow
 +
* Topics: Natural Language Processing
 +
* Location: Mannheim, Germany
 +
* Deadline: September 15, 2015
 +
* Date Posted: August 20, 2015
 +
* Contact: sfb884@informatik.uni-mannheim.de
 +
 
 +
The researcher is expected to contribute to the C4 project on “Measuring a common space and the dynamics of reform positions” within the DFG-funded Collaborative Research Centre (SFB) 884 “Political Economy of Reforms” (http://reforms.uni-mannheim.de) at the University of Mannheim. The topic of the PhD will focus on exploiting computational methods for analysing discourse phenomena like, e.g., uncertainty, vagueness and bias in political texts. This is a joint collaboration between the Natural Language Processing and Information Retrieval group (Prof. Simone Paolo Ponzetto) and the Chair of Artificial Intelligence (Prof. Heiner Stuckenschmidt), which will also involve close collaboration with project partners at the Department of Political Science (Prof. Dr. Nicole Rae Baerg, Prof. Dr. Thomas Gschwend), ranked as the best Political Science Department in Germany in different national and international university rankings. The student will be located at the Data and Web Science Group (DWS) of the University of Mannheim, one of leading centers for Data Science in Germany.
 +
 
 +
We are particularly interested in candidates with a background in one or several of the following areas:
 +
 
 +
* statistical semantics and discourse processing
 +
* machine learning and natural language processing
 +
* discourse analysis
 +
* automated text-based scaling
 +
 
 +
Applicants should have a Masters degree (or obtain it in the near future) in Computer Science, Natural Language Processing, Machine Learning or Social Science and have previous experience in applying human language technology.
 +
 
 +
'''Duration:''' initially one year (starting in Fall 2015) with possible extension to 3-5 years.
 +
'''Salary range:''' according to German public scale TV-L 13 100% (full time, ranging between 3200,- and 4.600,- Euro before taxes depending on qualification).
 +
 
 +
Applications can be made per e-mail (sfb884@informatik.uni-mannheim.de) and should include a short research statement, CV, copy of university degrees and transcripts and - if available - a copy of the master thesis, as well as list of publications and published software. Further information about the groups can be found at http://dws.informatik.uni-mannheim.de/. All documents should be e-mailed as a single PDF. All applications sent before '''September, 15 2015''' will receive full consideration. The positions remain open until filled.
 +
 
 +
The University of Mannheim is committed to increase the percentage of female scientists and encourages female applicants to apply. Among candidates of equal aptitude and qualifications, a person with disabilities will be given preference.
 +
 
 +
Please contact Simone Paolo Ponzetto (simone(At)informatik(DoT)uni-mannheim(DoT)de) and Heiner Stuckenschmidt (heiner(At)informatik(DoT)uni-mannheim(DoT)de) for informal enquiries.
  
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1) The first PhD-student will work on the automatic detection of motifs in folktales, in the context of a project that investigates sequences of motifs in melodies as well as folktales, and their variability in oral transmission. More information and application:
 
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http://www.meertens.knaw.nl/cms/nl/vacatures-othermenu-334/143642-phd-student-computational-linguistics
 
  
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2) The second PhD-student will work on automatic classification of folktales by their international folktale type  and on unsupervised clustering of folktales, to provide new input for humanities research. More information and application:
 
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http://www.utwente.nl/vacatures/?VacatureID=169016
 
  
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3) The postdoc will work on the automatic annotation of folktales. This will involve language identification, keyword detection, named entity recognition, genre classification, and automatic summarization. More information and application:
 
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http://www.utwente.nl/vacatures/?VacatureID=169024
 
  
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4) The scientific programmer will create user-friendly annotation and visualization tools for folktale researchers that incorporate the annotation and clustering techniques developed by the postdoc and the second PhD student. In addition, the programmer will develop an XML-based search system that allows the general public to search for folktales based on their annotations. More information and application:
 
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http://www.utwente.nl/vacatures/?VacatureID=169177
 
  
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The team members in the FACT project (positions 2-4) will be employed at the University of Twente, but will spend most of their time "on site" at the Meertens Institute (http://www.meertens.knaw.nl), which maintains the large collection of folktales that is the main focus of the research in FACT (http://www.verhalenbank.nl). All team members will be part of the e-Laboratory on Oral Culture at the Meertens Institute. More vacancies for this lab can be found here: http://www.meertens.knaw.nl/cms/nl/vacatures-othermenu-334
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== Postdoctoral Fellow in NLP for EEG Analysis at Temple University ==
 +
* Employer: The Neural Engineering Data Consortium, College of Engineering, Temple University
 +
* Title: Postdoctoral Research Fellow
 +
* Topics: Natural Language Processing, Machine Learning, Big Data, EEG Analysis
 +
* Location: Philadelphia, PA
 +
* Deadline: Open until filled
 +
* Date Posted: August 12, 2015
 +
* Contact: Joseph Picone (joseph.picone@gmail.com)
  
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The closing date for applications is 15 October 2011.
+
'''Research focus''': The Neural Engineering Data Consortium (NEDC) at Temple University invites applications for a Postdoctoral Fellow position in the area of automated EEG analysis. The Postdoctoral Fellow will contribute to a project that enables comparative research by automatically uncovering clinical knowledge from a vast BigData archive of clinical EEG signals and EEG reports collected over the past 14 years at Temple University Hospital (see www.isip.piconepress.com/projects/tuh_eeg for more information). We are developing a proof-of-concept based on the discovery of patient cohorts and provide an annotated BigData archive as well as the software that enabled the annotations and the generation of the patient cohort retrieval system. The candidate will be involved in overseeing the generation of labeled data for machine learning training, developing algorithms to automatically uncover and model structure based on deep
 +
learning principles, implementing an active learning approach that minimizes the amount of labeled data needed and supervising research to automatically extract medical concepts from EEG reports. A large portion of the project focuses in extraction of information from unstructured text, and hence, expertise in natural language processing is important.
  
 +
'''Supervisor''': Iyad Obeid, PhD and Joseph Picone, PhD
  
−
== Senior Research Positions (Machine Translation) at the CNGL, Dublin City University ==
+
'''Required skills''': The candidate’s primary expertise will be in natural language processing and/or computational linguistics. Proficiency in machine learning and big data techniques is highly desirable. Software engineering experience is also desired.
−
* Employer: CNGL, Dublin City University
 
−
* Rank or Title: Professor / Assoc. Professor (5 years, first 2 years research exclusively), Senior Research Fellow / Research Fellow (3 years)
 
−
* Specialty: Machine Translation, NLP, Computational Linguistics
 
−
* Location: Dublin, Ireland
 
−
* Deadline: 3rd October (Senior Research Fellow / Research Fellow); 7th October (Professor / Assoc. Professor)
 
−
* Date Posted: 20th September 2011
 
−
* Contact email: (for informal enquiries) josef@computing.dcu.ie, psheridan@computing.dcu.ie
 
−
* Website: http://www.cngl.ie
 
  
 +
'''Education''': A Ph.D. in computer science, computational linguistics, artificial intelligence or similar disciplines is required.
  
−
At the Centre for Next Generation Localisation (CNGL), Dublin, Ireland, we have a number of exciting career opportunities available and are seeking to recruit a Professor / Associate Professor and a Research Fellow/ Senior Research Fellow who have an established international track record and reputation in the area of Machine Translation (MT).
+
'''Length of appointment''': This position is for three years.
  
−
The Professor/Associate Professor is a 5 year appointment and is based within the School of Computing at Dublin City University (DCU), with the first 2 years focused exclusively on research/leadership within the CNGL MT group. Subsequently, the successful candidate will be expected to contribute to the normal teaching and administrative functions of a senior member of academic staff with the School but with continued contribution to the CNGL.
+
'''Available''': October 1, 2015.
  
−
The Research Fellow / Senior Research fellow position is a 3 year appointment and the successful candidate will join the centre’s team to take a leading role in creating and establishing research projects in MT within the centre’s research programme.
+
'''Compensation''': $42,000/year (NIH standard scale applies).
  
−
These positions provide an excellent opportunity for strong and ambitious researchers to further develop their careers and to join a highly-regarded, dynamic and well-funded research centre in the area of language technology research.  
+
'''To apply''': Send a CV and cover letter to joseph.picone@gmail.com (see http://www.isip.piconepress.com/images/memorabilia/temple/20150811_postdoc/postdoc_announcement_v00.pdf for more details)
−
+
 
−
We are interested in hearing from a wide range of applicants from a variety of backgrounds, focused around MT and related technologies.
+
 
 +
== Postdoctoral Fellow in Sentiment Analysis at McMaster University ==
 +
* Employer: Department of Linguistics, Department of Computing and Software, McMaster University
 +
* Title: Postdoctoral Research Fellow
 +
* Topics: Sentiment Analysis, Natural Language Processing
 +
* Location: Hamilton, ON, Canada
 +
* Deadline: Open until filled
 +
* Date Posted: July 24, 2015
 +
* Contact: Victor Kuperman (vickup@mcmaster.ca)
 +
 
 +
'''Research focus''': Successful applicants will be working closely with a vibrant cross-faculty team of linguists, psychologists and computer scientists. The selected candidate will contribute to a research program that explores individual and group (gender, age) variability in perception and regulation of emotion. Primary responsibilities will include investigating new algorithmic techniques for identifying fine-grained sentiment on textual data, and semi-structured data, including social media. Equally important to the project is the development of lexical-semantic tools allowing big data analyses of text corpora for the purposes of text classification, topic modeling, development of semantic networks, and estimation of semantic similarity.
 +
 
 +
'''Supervisor''': Victor Kuperman, PhD, Fei Chiang, PhD
 +
 
 +
'''Required skills''': The candidate’s primary expertise will be in natural language processing, sentiment analysis, and/or computational linguistics. Proficiency in machine learning techniques is highly desirable.
 +
 
 +
'''Education''': A Ph.D. in computer science, computational linguistics, artificial intelligence or similar disciplines is required.
 +
 
 +
'''Length of appointment''': This position is for two years.
 +
 
 +
'''Available''': August 1st, 2015.
 +
 
 +
'''Compensation''': $50,000/year.
 +
 
 +
'''To apply''': see application procedure at http://www.cas.mcmaster.ca/~fchiang/misc/postdoc.pdf
 +
 
 +
 
 +
 
 +
== Postdoctoral Fellow in Natural Language Processing at Brigham and Women's Hospital / Harvard Medical School ==
 +
* Employer: Brigham and Women's Hospital / Harvard Medical School
 +
* Title: Postdoctoral Research Fellow
 +
* Topics: Natural Language Processing
 +
* Location: Boston, MA
 +
* Deadline: Open until filled
 +
* Date Posted: July 11, 2015
 +
* Contact: Alexander Turchin (aturchin@bwh.harvard.edu)
 +
 
 +
'''Research focus''': the Fellow will work in a multi-disciplinary team of artificial intelligence scientists, informaticians, biostatisticians, and clinicians on projects involving development of open-source natural language processing framework software and high-dimensional predictive models that utilize a combination of artificial intelligence and natural language processing of multiple narrative document streams.
 +
 
 +
'''Supervisor''': Alexander Turchin, MD, MS, FACMI
 +
 
 +
'''Required skills''': strong programming and system development skills; ability to design and conduct effective research studies; strong analytical, scientific writing, presentation and communication skills. Experience in programming in Perl and .NET and experience with natural language processing and medical terminologies / ontologies is a strong plus.
 +
 
 +
'''Education''': PhD in computer science, biomedical informatics, linguistics, or related discipline, MD or an equivalent degree.
 +
 
 +
'''Length of appointment''': This position is for one year with second and third year reappointment dependent on satisfactory performance and availability of funding.
 +
 
 +
'''Available''': August 1st, 2015.
 +
 
 +
'''Compensation''': according to NIH (NRSA) stipend levels.
 +
 
 +
'''To apply''': send cover letter and CV to Dr. Alexander Turchin at aturchin@bwh.harvard.edu.
 +
 
 +
 
 +
== Data Scientist - Unstructured Data at Civis Analytics ==
 +
* Employer: [https://civisanalytics.com Civis Analytics]
 +
* Title: Data Scientist - Unstructured Data
 +
* Topics: Natural Language Processing,  Machine Learning, Deep Learning, Big Data Analytics, Computer Vision, Speech Processing, Algorithm Development
 +
* Location: Chicago, IL
 +
* Deadline: Open until filled
 +
* Date Posted: June 23, 2015
 +
* Apply Online: [https://civisanalytics.com/careers civisanalytics.com/careers]
 +
* Questions: apply@civisanalytics.com
 +
 
 +
 
 +
'''Who We Are'''
 +
 
 +
Civis Analytics is building a data-driven world. We create technologies that empower organizations to unlock the truth hiding in their own data—transforming them into smart organizations that are ready to thrive.
  
−
The successful candidates will become part of the existing research team based at DCU, joining one of the world’s largest academic MT research groups comprising over 20 researchers, and together with CNGL’s PIs will co-lead/lead research teams and contribute to the supervision of postgrads and PhD students.
+
While our history is rooted in political campaign targeting, we’re now partnering with intelligent organizations in healthcare, media, education, and a range of other domains. We’re also building cloud-based products to do data science better.
  
−
The post-holders will have the benefit of interaction and collaboration with the wider CNGL research teams, including the significant body of researchers working on other aspects of Language Technology across the four partner universities (DCU, Trinity College Dublin, University College Dublin, University of Limerick) at the CNGL.
+
We're solving the world's biggest problems with big data. Through research, experimentation, and iteration, we’re transforming how organizations do analytics. Our clients range in scale and focus from local to international, all empowered by our individual-level, data-driven approach.
  
 +
Our incredible team of engineers, statisticians, researchers, and solution seekers come from all over the world with diverse backgrounds in Fortune 500 companies, international non-profits, Ivy League academia, and even actual rocket science.
  
−
For more details please see the full job specifications at:
+
'''Why should you join our team?'''
  
−
http://www.cngl.ie/drupal/sites/default/files/AP_Prof_in_Machine_Translation.pdf
+
We are already hard at work on solving the world’s toughest problems with Big Data – working with organizations to analyze and understand their individual level data to improve outcomes and implement organizational change. We use cutting edge data science techniques, and we want to continue be on the forefront of innovation in our field.
  
−
http://www.cngl.ie/drupal/sites/default/files/Senior_Research_Fellow_MT.pdf
+
We are ''smart'', ''fun'', and ''a little bit weird''. ''Does this sound like you?''
  
 +
'''Position Overview'''
  
−
'''Indicative Salary (subject to experience and qualifications)''':
+
The Research and Development team is responsible for developing the fundamental data science methods, techniques, and best practices that power the mission of our company. Our diverse work includes predictive analytics, algorithm development, experimental design, visualization, and survey research.
−
 
 
−
**Professor:  €113,064 - €145,952
 
−
**Assoc. Professor:  €82,974 - €110,062
 
  
−
**Senior Research Fellow:  €63,125 - €68,817
+
As a Data Scientist on our Chicago-based Research and Development team, you will work closely and collaboratively with analysts and engineers to develop and operationalize the techniques that quantify and solve big, meaningful problems. Our team dives deeply into big problems and works in a variety of areas. With a specialization in unstructured data, this Data Scientist role will apply techniques from fields such as machine learning, applied statistics, natural language processing, computer vision, and speech processing to the growing unstructured datasets being collected at Civis. Because the majority of the world’s information is unstructured, being able to leverage these diverse and voluminous data sources adds tremendous value to Civis products and research. In this role, you will be a critical voice shaping both how unstructured data informs existing Civis products and services, and how it leads to the development of entirely new ways of serving our clients, novel to the industry as a whole.
−
**Research Fellow:  €42,394 - €56,442
 
−
 
 
−
 
 
−
'''For informal enquiries please contact''':
 
−
 
 
−
Centre Director
 
  
−
Prof. Josef Van Genabith, CNGL, DCU
+
We are looking for individuals from a diversity of backgrounds with demonstrated quantitative and problem-solving skills. We value creativity, hard work, and on-the-job-excellence and offer competitive compensation and benefits packages. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States.
  
−
Phone: 353 (0)1 7006700
+
'''Requirements'''
  
−
E-mail: josef@computing.dcu.ie
+
'''MINIMUM QUALIFICATIONS'''
−
 
 
  
−
Associate Director
+
* Bachelor’s degree in a quantitative field, such as computer science, statistics, machine learning, or electrical engineering
 +
* Knowledge of and practical experience in applying the methodology of one or more unstructured data analysis fields, such as natural language processing, speech processing, or computer vision
 +
* Familiarity with statistical packages such as R, Stata, or in the Python scientific stack (NumPy, SciPy, scikit-learn, pandas)
 +
* Experience with common toolkits for unstructured data analysis, such as Theano, Torch, open-cv, the Stanford NLP tools, HTK, and Kaldi
 +
* Experience with SQL databases
 +
* Strong programming skills
 +
* Experience identifying and correcting for problems in imperfect data
 +
* An ability and eagerness to constantly learn and teach others
  
−
Dr. Páraic Sheridan, CNGL, DCU
+
'''PREFERRED QUALIFICATIONS'''
  
−
Phone: 353 (0)1 7006707
+
* Master’s degree in a quantitative field such as computer science, statistics, machine learning, or electrical engineering
 +
* Significant work experience in applying the methodology of one or more unstructured data analysis fields
 +
* High proficiency in programming with Python, Go, Java, Lua, C, or other languages used for high-performance statistical computing
 +
* Familiarity with architectures for scaling statistical computing to big data applications, such as Hadoop and Spark
  
−
E-mail: psheridan@computing.dcu.ie
+
'''How to Apply'''
−
 
 
  
−
'''To Apply''':
+
Apply online at: [https://civisanalytics.com/careers civisanalytics.com/careers]
  
−
Application forms are available from http://www.dcu.ie/vacancies/APPLICATION_FORM_8pg.doc
+
== Postdoctoral Fellow in NLP at University of Pennsylvania ==
 +
* Employer: Dept. of Computer and Information Science, University of Pennsylvania
 +
* Title: Postdoctoral Researcher
 +
* Topics: Natural Language Processing, Unsupervised Learning
 +
* Location: Philadelphia, PA
 +
* Deadline: Open until filled
 +
* Date Posted: June 19, 2015
 +
* Contact: Mitch Marcus (mitch@cis.upenn.edu)
  
−
Email the completed application form, together with your CV, to: hr.applications@dcu.ie
+
'''Job Description'''
  
 +
Applications are invited for a postdoctoral fellow research associate position in the Department of Computer and Information Science at the University of Pennsylvania.  This is a full time position for 24 months, starting immediately.
  
 +
The main aim of this project is to develop new unsupervised algorithms to extract several levels of linguistic structure including morphology, part of speech (POS) tags, and noun phrases from unannotated corpora.  The project will exploit many different descriptive properties and constraints of language, all of which are close to universal in applicability. Such so-called universals have been developed across a wide range of often conflicting theoretical frameworks by both theoretical and descriptive linguists over many years, and we intend to shamelessly exploit them all.
  
−
== NLP and text-mining researchers for a NLP centre of excellence at eBay-Research ==
+
The candidate will work under the supervision of Profs. Mitch Marcus and Lyle Ungar in Computer and Information Science and Prof. Charles Yang in Linguistics.
−
* Employer: eBay
 
−
* Rank or Title: Research Scientist (at various levels)
 
−
* Specialty: Computational Linguistics, NLP, Text-mining
 
−
* Location: San Jose, CA, USA
 
−
* Deadline: Until filled
 
−
* Date Posted: 12 September 2011
 
−
* Contact email: researchlabs@ebay.com
 
−
* Website: http://labs.ebay.com
 
  
−
eBay Research Labs is a team of domain-area experts and researchers. With hundreds of millions of buyers and sellers, and hundreds of millions of live listings at any point of time, millions of daily transactions and billions of daily queries on eBay, the labs provides an amazing playground for researchers to work with data and conduct experiments at scale. The labs is currently starting a Natural Language Processing center of excellence and is hiring NLP and text mining experts. We have many positions available from post-doc and visiting faculty (why not spending your sabbatical with eBay?) to junior and senior permanent researchers.
+
'''Requirements'''
  
−
'''Primary Job Responsibilities'''
+
The candidate should have a very strong background in Natural Language Processing and possess a PhD in either Computational Linguistics or Computer Science with a good publication record.  Experience in machine learning, good programming skills, and a good knowledge of modern linguistics are required. 
−
* Conduct world-class research in the area of NLP and text mining
 
−
* Support the research activities of other members of the research labs
 
−
* Develop rapid prototypes to show-case new business ideas or the capabilities of emerging enabling technologies
 
−
* Participate in evolving business and technology innovation ideas and developing them to align with the business strategies
 
  
−
'''Job Requirements'''
+
'''How to Apply'''
−
* Ph.D. or equivalent in NLP or text mining
 
−
* Excellent hands-on algorithmic, server-side, and client-side programming skills
 
−
* Highly creative and innovative in problem solving and willing to experiment with new ideas and technologies
 
−
* Strong leadership skills, an ability to learn quickly, and a "can-do" attitude
 
−
* Excellent interpersonal skills and presentation skills, including the ability to communicate effectively in small and large groups, and at various levels of the organization
 
  
−
If you yearn to drive invention and innovation across eBay Marketplaces, Paypal, and beyond, and are looking for employment opportunities, please submit your resume at researchlabs@ebay.com.  
+
Please email your CV and the names and contact information of three or more references to Mitch Marcus at the email provided above.  
  
−
== Assistant/Associate Professor in Computational Linguistics, The Ohio State University ==
 
−
** Employer: The Ohio State University
 
−
** Rank or Title: Assistant or Associate Professor
 
−
** Specialty: Computational Linguistics
 
−
** Location: Columbus, OH, USA
 
−
** Deadline: 15 December 2011
 
−
** Date Posted: 26 August 2011
 
−
** Contact email: mwhite@ling.ohio-state.edu
 
−
** Website: http://linguistics.osu.edu/clannounce
 
  
−
The Department of Linguistics at the Ohio State University seeks candidates for a tenure-track Assistant Professor or tenured Associate Professor position in computational linguistics, starting Autumn 2012. Candidates should have a strong background in statistical modeling and machine learning, but otherwise the area of specialization within computational linguistics is open. Candidates are expected to have their Ph.D. completed by the time of the appointment.
+
== Postdoctoral Fellow in Machine Learning/Computational Linguistics for Child Language Acquisition ==
 +
* Employer: University of Liverpool
 +
* Title: Post-doctoral fellow
 +
* Topics: machine learning, computational linguistics, corpus linguistics, algorithm development, deep learning, speech processing
 +
* Deadline: 28th August 2015
 +
* Date Posted: 2nd June 2015
 +
* Apply: http://www.liv.ac.uk/working/jobvacancies/currentvacancies/research/r-588063/
  
−
The new assistant or associate professor will be expected to be active in research and publication, to meet standard departmental teaching requirements and to perform service duties as required by the department and the university.
+
'''Job Description'''
  
−
Review of applications will begin on December 15, 2011, and will continue until the position is filled.
+
We are recruiting for post-doctoral fellow to work on the application of machine learning/computational linguistic techniques to child language acquisition.
  
−
Dossiers consisting of a letter of interest, current curriculum vitae and the names of three references should be sent to:
+
You should have a PhD in Computer Science/Engineering/Linguistics/Psychology and have experience with machine learning algorithms applied to language data and have published your work in conference proceedings or journals. Experience with auditory speech processing, deep learning, cloud computing, and GPU programming is desirable. The post is available for 2 years.
  
−
Computational Linguistics Search Committee <br/>
+
The computational community has developed a wealth of algorithms that can automatically discover linguistic units and dependencies between these units and these algorithms have been applied to language parsing and generation. In contrast, child language researchers often study child language using human coding of detailed linguistic information. The goal of this project is to develop a bridge between these two approaches. Machine learning techniques would give child language researchers ways to pull out relevant utterances that could be subject to greater processing. Child language analyses could be compiled into test sets that could be used to evaluate machine learning algorithms. In this post, you will develop machine learning algorithms for child language and also develop a web site that will enhance the ability of machine learning researchers and child language researcher to share data and algorithms.  The research topics and approaches are open to negotiation.  Children have some of the most advance language learning algorithms and understanding how they learn language could lead to new insights for computational approaches to language.
−
Department of Linguistics <br/>
 
−
The Ohio State University <br/>
 
−
222 Oxley Hall <br/>
 
−
1712 Neil Avenue <br/>
 
−
Columbus, OH 43210-1298
 
  
−
For questions, please contact Michael White (mwhite@ling.ohio-state.edu). For information about the Computational Linguistics and Language Technology group and the Department of Linguistics, please visit http://www.ling.ohio-state.edu/cllt/ and http://linguistics.osu.edu.
+
This post offers the opportunity to join a thriving research group at the University of Liverpool and become a member of the new ESRC International Centre for Language and Communicative Development, a multi-million pound collaboration between the Universities of Liverpool, Manchester and Lancaster.
  
−
The Ohio State University is an Equal Opportunity/Affirmative Action employer. Women, minorities, Vietnam-era veterans, disabled veterans, and individuals with disabilities are encouraged to apply.  
+
More information is available here:
 +
https://sites.google.com/site/sentenceproductionmodel/news
  
−
== Computational Linguist Expert in SMT ==
+
==Postdoctoral Fellow and Software Engineer postions in biomedical natural language processing, machine learning and biomedical informatics==
−
** Employer : Sogeti Luxembourg
+
* Employer: UMass Medical School Worcester
−
** Rank or Title : Consultant
+
* Title: Post-doctoral fellow or Software Engineer
−
** Specialty : Computational Linguist expert in SMT
+
* Topics: Biomedical natural language processing, machine learning, bioinformatics, algorithm development, big data analytics
−
** Location : Luxembourg, Europa
+
* Deadline: until filled
−
** Deadline : 1 September 2011
+
* Date Posted: 24 May 2015
−
** Date Posted : 17 August 2011
+
* apply by contacting elaine.freund@umassmed.edu
−
** Contact email : laurent.marquis@sogeti.lu
 
  
−
We are looking for experts in statistical machine translation (SMT) for an
+
'''Job Description'''
−
important project in the European Public Sector.
 
−
Required experience and qualifications:
 
−
- PhD or MSc/Diploma in computational linguistics or computer science with
 
−
excellent knowledge of machine translation (MT) and/or machine learning for
 
−
natural language processing
 
−
- Familiarity with recent developments in SMT and the motivation to apply novel
 
−
approaches emanating from ongoing research to practical translation tasks in
 
−
many languages and to systematically evaluate their suitability
 
−
- Ability to write scientific papers and technical documents in English
 
−
- Open-mindedness and the will to collaborate closely within an international,
 
−
multidisciplinary team, motivation to work with a multilingual user community
 
−
- Experience in designing and running large-scale experiments, including the
 
−
necessary skills to manage large data sets and long-running experiments in a
 
−
distributed computational environment would be highly desirable, interest in
 
−
developing such skills is mandatory
 
−
- Experience with both statistical and grammar-based approaches to MT would
 
−
be highly desirable
 
−
- Good oral and written command of English is required; familiarity with
 
−
additional EU languages (preferrably Eastern/Northern European) is a strong
 
−
plus
 
−
If you match with the profile, feel free to contact me at laurent.marquis@sogeti.lu
 
  
 +
We are recruiting for multiple positions at levels from Post Doctoral Fellow to Software Engineer to participate research and software development in biomedical natural language processing (NLP) and biomedical informatics.  The group’s research (http://www.bio-nlp.org/index.php/projects) involves developing algorithms and tools for gathering, analyzing and interpreting heterogeneous data from multiple sources both clinically and research related. Recruits will lead development efforts in web service tools and search engines that: retrieve and summarize big data in biomedical domain, automatically extracting information from pdf files and extracting text from images, integrate novel biomedical text mining algorithms into the web tools and search engines to enable intelligent semantic search, and mining electronic health record data for pharmacovigilance.
  
 +
If you are highly motivated and passionate about research in big data processing or software engineering or have in-depth knowledge and hands on implementation experience with web service tools and are interested in learning more about us, please contact elaine.freund@umassmed.edu with your resume or CV and a cover letter.
  
−
== Research Associate in Statistical Natural Language Processing ==
+
General Summary of Postdoc Fellow Position: PhD in Computer Science, computational linguistics or Biomedical Informatics with expertise in natural language processing, machine learning or information retrieval with excellent writing and communication skills and ability to work with the research team.  
−
** Employer : University of Geneva
 
−
** Rank or Title : Post-doctoral Research Associate
 
−
** Specialty : Statistical Natural Language Understanding
 
−
** Location : Geneva, Switzerland
 
−
** Deadline : 1 September 2011
 
−
** Date Posted : 9 August 2011
 
−
** Contact email : James.Henderson@unige.ch
 
  
−
The University of Geneva, Department of Computer Science, invites applications for a post-doctoral research associate position in natural language processing.  The successful candidate will be part of the EU-funded project PARLANCE.  He/she will investigate statistical methods for natural language understanding, including spoken language understanding.
+
General Summary of Software Engineer Position:
 +
Under the direction of the Faculty or designee, the Software Engineer I assists with the design, development, implementation and integration of web service tools, search engines, utilities, applications and enhancements in a complex medical/academic research computing environment.  
  
−
The PARLANCE project will design and build mobile applications that approach human performance in conversational spoken interaction, targeting interactive search and information provision applications.  The PARLANCE systems will be based on probabilistic inference procedures and incremental dialog processing.  Systems will be developed for English, Spanish and Mandarin.  The other project partners are Cambridge University, Heriot-Watt University, CRSA, iSoco, and Yahoo! Iberia.
+
==Research Scientist in natural language processing, machine learning, knowledge discovery, data analytics at IBM Research-Almaden==
 +
* Employer: IBM Research
 +
* Title: Research Scientist
 +
* Topics: Nature language processing, information integration, entity resolution, machine learning, knowledge discovery, and data analytics
 +
* Location: San Jose, California, USA
 +
* Deadline: 1 June 2015
 +
* Date Posted: 6 May 2015
 +
* Online application: https://jobs3.netmedia1.com/cp/faces/job_summary?job_id=RES-0751127
  
−
At the University of Geneva, the project will be lead by James Henderson (Department of Computer Science) and Paola Merlo (Department of Linguistics) within the research group Computational Learning and Computational Linguistics (http://clcl.unige.ch/).  Work will focus on incremental models of spoken language understanding which integrate domain-general statistical models of syntactic-semantic parsing, as well as open-domain information extraction.  The successful candidate will be expected to participate in this project, plus engage in research of their own choosing.
+
'''Job Description'''
  
−
Applicants should have received a PhD in Computer Science or Computational Linguistics by the start of the project.  The ideal candidate will have a background in natural language processing, statistical methods, machine learning, and spoken language understanding. Good programming skills are required. Fluency in either English or French is required.
+
IBM Research - Almaden is looking for researchers to join the Natural Language Processing (NLP), Entity Resolution and Discovery (NERD) Department. Our research focuses include high-value content creation from variety of public and third-party data sources, scalable and usable analytics tools for individual stages in analyzing such data sources, such as text analytics, entity resolution, large-scale machine learning, techniques and methods for scalable and flexible indexing and querying support over enriched content, and consumable interfaces for accessing such data sources, including natural language interfaces. An example project is SystemT (http://ibm.co/1Cdm1Mj).
  
−
The appointment is initially for a fixed term of 3 years, with a start date of 1 November 2011 or soon thereafter. Competetive salary, according to qualifications.
+
We are currently looking for a Research Staff Member to conduct research with large scale real-world heterogeneous data in the area of advanced analytics, such as nature language processing, information integration, entity resolution, machine learning, knowledge discovery, and data analytics. This role generates highly novel ideas, both theoretical and experimental, in a specific engineering or scientific discipline and invents and designs complex products and processes. This position may be involved in engineering these ideas to an advanced state of feasibility by evaluating ideas and plans and participating in their design and development. The full cycle of innovation to delivery is typically a multiple-year effort.
  
−
Review of applications will begin immediately, but will continue until the position is filled.  Applications received by 1 September 2011 will be guaranteed full consideration.
+
The candidate is also responsible for internally and externally disseminating the results of such activities through publications, patent disclosures, seminar participation, technical documentation, etc. The candidate represents IBM at professional conferences, in professional societies and universities and functions as an internal consultant in the areas of professional expertise.
  
−
Applicants should send a curriculum vitae, a statement of research interest, and names and addresses of at least 3 references to James Henderson at James.Henderson@unige.ch, with PARLANCE Postdoc as the subject line. 
+
'''Required'''
  
−
Informal inquiries can be addressed to James Henderson (James.Henderson@unige.ch) or to Paola Merlo (Paola.Merlo@unige.ch).  The University of Geneva wishes to increase the proportion of female academic staff and, for this reason, especially welcomes applications from women.
+
* Master's Degree
 +
* At least 1 year experience in developing advances in Computer Science disciplines
 +
* At least 1 year experience in performing Scientific Research
 +
* English: Intermediate
  
 +
'''Preferred'''
  
−
== Electronic Health Record Data and Text Mining Postdoctoral Fellowship Position ==
+
* Doctorate Degree in Information Technology
−
** Employer: Cincinnati Children's Hospital Medical Center
+
* At least 3 years experience in developing advances in Computer Science disciplines
−
** Location: Cincinnati, Ohio, USA
+
* At least 3 years experience in performing Scientific Research
−
** Specialty: Data and Text Mining
+
* English : Fluent
−
** Deadline: Until filled
 
−
** Date Posted: 7/27/2011
 
−
** Contact Email: imre.solti@cchmc.org
 
−
** Website: https://research.cchmc.org/solti
 
−
<p>Position:
 
−
- Postdoctoral Fellow/Research Associate position in Clinical Informatics at Cincinnati Children's Hospital Medical Center.
 
−
Project:
 
−
- Predictive modeling of patients' clinical outcomes based on the content including narrative notes of the electronic health record.
 
−
- Building stochastic and knowledge based models to predict changes in the patients clinical status and predict prognosis.
 
−
Further information and instructions to apply at: https://research.cchmc.org/solti/open-positions</p>
 
  
 +
'''Additional Information'''
  
−
== Practical Natural Language Processing and Text Mining Professional ==
+
The World is Our Laboratory: No matter where discovery takes place, IBM researchers push the boundaries of science, technology and business to make the world work better. IBM Research is a global community of forward-thinkers working towards a common goal: progress.
−
** Employer: ComplaintLink
 
−
** Specialty: Specialty: entity named extraction, text mining, sentiment analysis, machine learning algorithms
 
−
** Location: H.O. in Toronto but you can work off-site anywhere in the world
 
−
** Deadline: Applications accepted until the position is filled
 
−
** Date Posted: July 14, 2011
 
−
** Start Date: ASAP
 
−
** Duration: contract postion - 3 to 6 momths
 
 
   
 
   
−
<p><strong>Position: Complaint Link Inc. is interested in hiring an off-site skilled NLP professional to work on a software project in the area of natural language processing, machine learning algorithms and sentiment analysis. </strong></p> <p>About the employer: ComplaintLink is a web start-up with a relatively simple user-interface and very complicated analytical software that will incorporate machine learning algorithms, natural language processing, sentiment analysis, entity named extraction, search algorithms and other data mining and business intelligence functionality. The website is structured much like a sophisticated forum with a social-networking component. The data being analyzed will be from user-generated textual discussions around a multitude of topics that will continuously be updated.
+
IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
−
</p><p>Description of project: The successful candidate will be working with other LAMP developers to bring an online business to fruition. The candidate will, using open source resources, intelligence and imagination, develop original and proprietary software that will function as the brains behind this online business.</p><p>The software being developed will access our site’s database and have the ability, without any manual keyword input for direction, to mine all textual data and present clearly which are the most 'important' or ‘passionate’ conversations and issues and be able to extract what those issues are and what related significant information is involved in those discussions. It will be able to identify and draw associations between significant pieces of information and present the information extracted in a way that provides a clear picture of the activity on the site in a practical and meaningful manner.</p><p>Degree and expertise:  This project requires someone with a passion for machine learning algorithms and natural language processing. Ideally the candidate will be a postdoctoral fellow or at least someone as smart and experienced as one in the area of Natural Language Processing, machine learning algorithms, sentiment analysis, and data extraction and analysis. You must be able to work in a LAMP environment, be skilled with MySQL, be smart, reliable, and a self-starter with excellent problem solving and analytical abilities. You must have a solid grasp of English – written and verbal.</p><p>If you are interested in this opportunity please contact us at the following address:  developers  {at}  ComplaintLink  {dot} {com}  Please include your CV and a short description of your past work and studies and interests.</p>
+
 
 +
 
 +
==PhD position in statistical language modelling==
 +
* Employer: Cardiff University
 +
* Title: PhD scholarship
 +
* Topics: Statistical language modelling, relation extraction, social media
 +
* Location: Cardiff, UK
 +
* Deadline: 1 June 2015
 +
* Date Posted: 7 April 2015
 +
* Online application: http://courses.cardiff.ac.uk/funding/R2497.html
 +
 
 +
'''Job Description'''
 +
 
 +
Applications are invited for a PhD Scholarship at the Cardiff School of Computer Science & Informatics in the area of statistical language modelling. Specifically, the aim of the project will be to develop methods for modelling the meaning of natural language terms, based on data from social media and other web sources. For example, by analysing the tags associated with Flickr photos, the developed methods will be able to learn that a church is a kind of building, that churches tend to be larger than typical buildings and that chapels are similar to churches. The results of this project will be used to improve methods from artificial intelligence for commonsense reasoning, and will among others enable more intelligent web search engines.
 +
 
 +
'''Funding and eligibility'''
 +
 
 +
This studentship consists of full UK/EU tuition fees, as well as a Doctoral Stipend matching UK Research Council National Minimum (£14,057 p.a. for 2015/16, updated each year). This studentship is open to students of any nationality. Students classified as international for fee purposes have to self-fund the difference between home and international fees.
  
 +
Candidates should:
  
−
== Japanese Computational Linguist == 
+
* either have (or expect to have by Autumn 2015) a good honours degree in a relevant discipline (minimum 2:1);
−
** Employer : Appen Butler Hill
+
* or have a masters degree with distinction in the research dissertation in a relevant discipline;
−
** Rank or Title : Japanese Computational Linguist
+
* or have professional qualifications deemed by Cardiff University to be equivalent to the above;
−
** Specialty : computational linguistics
+
* or be over 25 and have relevant work experience in a position of responsibility.
−
** Location  : Global - consultants may be based anywhere
 
−
** Deadline : Applications accepted until the position is filled
 
−
** Date Posted : May 27, 2011
 
−
** Contact email or link to website : http://tbe.taleo.net/NA5/ats/careers/requisition.jsp?org=BUTLERHILL&cws=4&rid=195
 
  
−
Job Description:  A text analysis team focusing on Information Extraction technologies seeks a Computational Linguist for a nine month contract position to enhance a Japanese language module to process unstructured text. This person will enhance the Japanese language module component in a linguistic foundation application and an entity and fact extraction solution. The focus will be on the creation, maintenance and augmentation of machine-readable dictionaries, grammar rules and parsing algorithms. Effective linguists will know how to use finite-state technology to code grammatical patterns and be able to use a data manipulation language such as Perl or Python.  
+
The methods will rely heavily on methods from statistics and linear algebra, hence a strong background in mathematics will be required, in addition to excellent programming skills. A strong mathematical background and excellent programming skills will also be required.
  
−
Primary Duties:<br>
+
Applicants are particularly welcomed from candidates with a background in computer science.
−
-Builds, Tests and Enhances the Japanese language module<br>
 
−
-An in-depth understand of the algorithms<br>
 
−
-Meets product roadmap requirements<br>
 
−
-Participates in formal inspections<br>
 
−
-Contributes to the team with positive ideas in design discussions<br>
 
−
-Provides support, consultation and training to other areas of the company<br>
 
−
<br><br>
 
−
Required Skills:<br>
 
−
-B.A. in Computational Linguistics or equivalent<br>
 
−
-Native or near-native knowledge of written Japanese<br>
 
−
-Fluent in English<br>
 
−
-Strong background in syntax and morphology<br>
 
−
-Proficiency in at least one data manipulation language (Perl preferred)<br>
 
−
-Familiarity with modern quantitative techniques in NLP<br>
 
  
−
Additional Information:<br>
+
If your first language is not English you must provide evidence of competence in English. Our standard requirement is an overall IELTS result of at least 6.5, with a minimum of 6.5 in writing, and a minimum of 6.0 in speaking, listening and reading.
−
Projects require excellent English reading, writing and communication skills. Strong computer skills in a Windows environment and greater than average comfort with software and technology are expected. US residents must have US work authorization (US citizen or permanent resident). Unfortunately, Butler Hill Group cannot sponsor employment visas at this time. You will be required to sign a legally binding non-disclosure agreement at the time of contract negotiation.  
 
−
<br><br>
 
−
This is a full-time contract position.  
 
−
<br>
 
−
Compensation:<br>
 
−
We offer a competitive, hourly pay rate DOE (to be paid as 1099 self-employment income).
 
  
 +
'''Further information'''
  
−
== Associate Research Engineer, Natural Language Processing == 
+
For further information and instructions on how to apply, please see http://courses.cardiff.ac.uk/funding/R2497.html
−
** Employer : ETS (Educational Testing Service)
 
−
** Rank or Title : Associate Research Engineer
 
−
** Specialty : Natural Langauge Processing
 
−
** Location  : Princeton, New Jersey
 
−
** Deadline : Applications accepted until the position is filled
 
−
** Date Posted : May 6, 2011
 
−
** Contact email or link to website : http://www.Click2Apply.net/q536shx
 
  
−
'''ETS (Educational Testing Service)''', with headquarters in '''Princeton, NJ''', is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve.
+
==Postdoctoral Researcher in NLP at U.S. Army Research Lab==
 +
* Employer: U.S. Army Research Lab, Adelphi Laboratory Center
 +
* Title: Postdoctoral Researcher
 +
* Topics: Natural Language Processing
 +
* Location: Adelphi, MD, USA
 +
* Deadline: Open until filled
 +
* Date Posted: March 17, 2015
 +
* Contact: Dr. Stephen Tratz (stephen.c.tratz.civ@mail.mil)
  
−
In this team-oriented role, the selected candidate will assist with the implementation of natural language processing (NLP) components of medium- to large-scale, complex research projects for ETS researchers, testing program areas and external clients. You will be offered the opportunity to consult with research scientists in the application, modification, and documentation of such systems and contribute to the implementation and support of new NLP methodologies to support research system development.
+
'''Job Description'''
  
−
Be prepared to further assist in the preparation of NLP development components of proposals and cost/resource estimates, implement components of technical documentation of NLP software systems, solutions and results and regularly attend area-wide staff training and development sessions.
+
The Multilingual Computing Branch (MLCB) at the U.S. Army Research Laboratory's Adelphi Laboratory Center, located in the Washington, D.C. metro area, is seeking to hire new post-doctoral fellows. MLCB has several ongoing efforts in computational linguistics/natural language processing, including active projects in machine translation, human-robot communication, and social media analysis. The branch is also pursuing new interdisciplinary initiatives to address the language processing challenges in cyber-security and video analytics.
  
 +
Candidates should have substantial research experience in machine learning methods (e.g., deep neural networks) as applied to emerging areas involving computational linguistics.  Areas of interest include:  text/video analytics, computational social science, machine translation, domain adaptation, data selection, low-resource language processing, morphologically complex languages, knowledge representation and reasoning, spoken language interfaces and dialogue, and multimedia processing.
  
−
In addition to exceptional verbal/written communication skills, our qualifications include:
+
The lab encourages external collaboration and maintains multiple partnerships with universities and research institutions, which enable faculty and student exchanges as well as joint research and publishing (http://www.arl.army.mil/www/default.cfm?page=93). ARL’s new open campus initiative is attracting national and international partners from academia and industry to work with ARL scientists and engineers in areas of common research interest (see http://www.arl.army.mil/www/default.cfm?page=2357), and ARL researchers have begun releasing open source code via GitHub (see http://www.army.mil/article/141734/Army_cyber_defenders_open_source_code_in_new_GitHub_project/).  ARL facilities include multiple high-end supercomputing clusters with over 10,000 cores and capable of at least 350 TFlops.
  
−
    * Master's degree in Computer Science, NLP, Language Technology, Computational Linguistics, Linguistics or a closely related field
+
'''Requirements'''
−
    * A strong programming background, in languages such as Perl, Java, Python, and C, and facility with computational algorithms are essential
 
−
    * Coursework in statistics and experience in using machine learning toolkits are highly desirable
 
−
    * Ability to maintain continuing awareness of recent advances in natural language processing (including speech processing), machine learning, and software development methodologies
 
−
    * Knowledge of UNIX and Windows computing environments
 
−
    * Familiarity with UNIX tools and scripting languages and  algorithms, methods and data structures in common use in the processing of speech and language data
 
  
−
We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at:
+
* Ph.D. or equivalent research experience in computer science, statistics, mathematics, or related field
  
−
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=104651&type=&cfcend
+
'''How to Apply'''
  
−
EOE
+
If interested, please email your CV and the names and contact information of three or more references to Dr. Stephen Tratz at the email provided above.
  
 +
==Postdoctoral Researcher in NLG for Narrative==
 +
* Employer: Liquid Narrative Group, North Carolina State University
 +
* Title: Postdoctoral Research Scholar
 +
* Topics: Natural Language Generation, Narrative Generation, Knowledge Representation, AI Planning
 +
* Location: Raleigh NC, USA
 +
* Deadline: Open Until Filled
 +
* Date Posted: March 10, 2015
 +
* Online Application: http://jobs.ncsu.edu/postings/40524
  
−
== Research Scientist (Natural Language Processing) == 
+
'''Job Description'''
−
** Employer : Language Computer Corporation (LCC)
 
−
** Rank or Title : Research Scientist
 
−
** Specialty : Natural Langauge Processing (or related discipline)
 
−
** Location  : Richardson, Texas
 
−
** Deadline : Applications accepted until the position is filled
 
−
** Date Posted : May 2, 2011
 
−
** Contact email or link to website : jobs2011@languagecomputer.com
 
  
−
Language Computer Corporation (LCC) is a privately-owned company committed to the development of next-generation natural language processing technologies. Since our founding in 1995, we've provided both government and commercial customers with intelligent, semantically-informed search and discovery software. These tools unlock value by actually understanding the information stored in large collections of text. LCC has spun off two semantic technology startups, including Swingly, a Web-scale answer engine, and Extractiv, a high-performance content harvesting service.  
+
The Liquid Narrative group at North Carolina State University is seeking a postdoctoral researcher to collaborate on a large-scale narrative generation project. The goal of this project is to build computational tools for the use of narrative in sense-making tasks. Research thrusts include the creation of formalisms for representing story and discourse knowledge and the development of narrative generation algorithms able to create multiple narrative discourses from a given story, adapt these discourses to an audience, and elicit different effects such as surprise or suspense. This project aims at creating a large-scale narrative-generation system that can extract story data from various sources (e.g., video game logs) and create narratives in and across several media such as text, animated movies or maps.
  
−
We are currently seeking research scientists for R&D in natural language processing and retrieval. Candidates must possess a Ph.D, significant experience in NLP, effective software development skills, and a track-record of publication.  Successful candidates will work with a team of researchers and engineers to improve existing products as well as develop brand new technologies.
+
The postdoctoral researcher will contribute to the design and development of narrative generation and summarization technologies, focusing on the microplanning aspect of text generation. In particular, he or she will extend an existing narrative discourse generation prototype that outputs basic sentences using the SimpleNLG library. Our aim is to update this architecture by integrating an NLG system such as FUF/Surge, KPML or RealPro. To improve the quality of the generated text, the postdoctoral researcher will work on topics such as: aggregation, generation of referring expressions, discourse markers insertion, lexical choice and/or other aspects of realization that are specific to narrative as a genre.
  
−
Requirements:
+
He/she may also participate in research efforts on the automated generation of multimedia presentations involving text, video and maps. He/she is expected to collaborate in performing scientific evaluations of the systems, and in writing academic research papers.
−
** Ph.D in NLP or a related discipline, such as computational linguistics, data mining, or artificial intelligence
 
−
** Strong programming skills on the Java platform
 
−
** Education: BS or MS in Computer Science
 
−
** Knowledge of development under Unix/Linux
 
−
** U.S. Citizenship or Permanent Resident
 
−
** Good communication skills
 
−
** Patience necessary to work in a team environment
 
  
−
Desirable Qualities:
+
'''Requirements'''
−
** Industry R&D experience
 
−
** Product development experience
 
−
** Database programming/development
 
−
** Other programming languages: Python, Ruby, Scala, Clojure
 
−
** Source code management (e.g. SVN, Git, Mercurial, Bazaar)
 
−
** Web Application experience
 
−
** Multi-threaded / distributed applications
 
−
** Understanding of design concepts such as abstraction, modularization, coupling, and maintainability
 
−
** Unit testing and integration testing
 
−
** Talent for writing time- and memory-sensitive code
 
−
** Agile software development methodologies
 
  
 +
The applicant must hold a PhD degree, preferably in the area of computational linguistics or natural language generation. He/she should have:
 +
* Experience with developing NLG systems
 +
* Excellent software-design and problem-solving skills
 +
* Good programming skills
 +
* Excellent written and oral communication skills
  
 +
Experience in the following areas would be a plus:
 +
* Automated discourse planning technologies
 +
* Dialogue generation
  
−
== Research Engineer - Natural Language Processing == 
+
'''Position details'''
  
−
** Employer: Ask.com
+
This is a full-time position.
−
** Rank or Title: Research Engineer - Natural Language Processing 
+
Expected start date is April 1, 2015 and the initial funding for the position runs through December 31, 2015. The position may be extendable depending on availability of funds.
−
** Specialty: Computational Linguistics, Natural Language Processing
 
−
** Location: Oakland, CA
 
−
** Deadline: Applications accepted until position is filled
 
−
** Date Posted: April 22, 2011
 
−
** Contact email or link to website: www.ask.com/careers
 
  
−
About Us
+
Interested candidates should view the official Human Resources posting and submit applications through the NC State University HR web page at http://jobs.ncsu.edu/postings/40524
  
−
Join the #1 brand and top Web property focused on answering people’s questions. At Ask.com, we’re building a next-generation Q&A service – spanning both the Web and mobile devices -- that combines the power of search with insight from real users. Our proprietary algorithms crawl the web for question and answer pairs (400 million and growing), fueling one of the biggest Q&A databases on the Web.  This unique technology, combined with answers from real users in our community, makes Ask.com the most comprehensive Q&A service around. At Ask, we empower each individual to succeed, communicate their ideas, and take action. When you work here, you know your contributions will have a direct and immediate impact on the company. We are serious about creating and maintaining a company culture that is both innovative and fun, and we’re looking for great people to come join our team.  
+
NC State University is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, gender identity, age, sexual orientation, genetic information, status as an individual with a disability, or status as a protected veteran.  Individuals with disabilities requiring disability-related accommodations in the application and interview process, please call 919-515-3148.
  
−
Summary
 
  
−
Ask.com is looking for a software engineer to join a research-oriented team in the Oakland, CA office. The research engineer will join a horizontal team supporting the Ask.com core language technologies, which power the search- and database-driven question answering solutions as well as the algorithmic language processing infrastructure for the Q&A community and mobile applications.  
+
==PhD-level Researchers in Language Technology or Computational Linguistics==
 +
* Employer: UKP Lab, Technische Universität Darmstadt (Germany)
 +
* Title: PhD-level Researchers in Language Technology or Computational Linguistics
 +
* Topics: Natural Language Processing, Summarization, Opinion Mining
 +
* Location: Darmstadt (Germany)
 +
* Deadline: open until the position is filled
 +
* Date Posted: March 4, 2015
 +
* Contact: Prof. Iryna Gurevych apply-for-aiphes(a-t)ukp.informatik.tu-darmstadt.de
  
−
Required:
+
'''Job Description'''
−
** Natural language processing / computational linguistics background.  Ideal: information retrieval and machine learning applications
 
−
** Python and/or Perl, shell scripting, XML. Ideal: some Java and/or C/C++, familiarity with SQL and relational databases
 
−
** Ph.D. in computational linguistics / natural language processing or related areas.
 
  
−
Skills and Experience:  
+
The newly established Research Training Group „[http://www.aiphes.tu-darmstadt.de Adaptive Information Processing of Heterogeneous Content]“ (AIPHES) at the Technische Universität Darmstadt and at the Ruprecht-Karls-University Heidelberg is filling several positions for three years, starting as soon as possible:
−
** 3+ plus years experience in natural language processing / computational linguistics in industry or large scale academic research project.
 
−
** Expertise in at least some of the following specific NLP areas and topics: question answering, lexical semantics, collocations, terminology extraction, multi-word expressions, (shallow) parsing, named entity recognition, lexical acquisition, paraphrasis acquisition, information extraction, text classification, evaluation methodologies.
 
−
** In general, experience is desired in web analytics, both in terms of using the web as corpus (including the family of related approaches, techniques, issues) and in terms of search engine query logs analysis / user behavior modeling.
 
−
** Familiarity with existing data resources and tools: Wordnet, POS taggers, parsers, LingPipe, SVMLight, NLTK, Weka, and similar tools.
 
−
** Ideal: practical experience with Lucene/Solr, Mahout and the Hadoop ecosystem.
 
−
** Ideal: experience with ontologies, RDF, other semantic web resources or tools.
 
−
** Ability to develop prototypes based on proprietary or open source tools.
 
−
** Ability to work in a fast-paced environment and adapt to shifting conditions, priorities, deadlines.
 
−
** The ideal candidate should be able to refer to products and/or research prototypes that they have developed or to which they have contributed, or to their contributions to sites like StackOverflow.
 
  
−
Location:  Downtown Oakland (near 12th St. BART Station)
+
PhD-level Researchers in Language Technology or Computational Linguistics
  
−
Apply at: www.ask.com/careers
+
The positions provide the opportunity to obtain a doctoral degree with an emphasis within one of the following guiding themes:
  
 +
* A3: Opinion and Sentiment - extrapropositional aspects of discourse (Univ. of Heidelberg)
 +
* B1: Structured summaries of complex contents (TU Darmstadt)
 +
* B2: Content selection based on linked lexical resources (TU Darmstadt)
 +
* D1: Multi-level models of information quality in online scenarios (TU Darmstadt)
 +
* D2: Manual and Automatic Quality Assessment of Summaries from Heterogeneous Sources (TU Darmstadt)
 +
The funding follows the guidelines of the DFG, and the positions are paid according to the E13 public service pay scale.
  
 +
The goal of AIPHES is to conduct innovative research on multi-document summarization in a cross-disciplinary context. To that end, methods in computational linguistics, natural language processing, machine learning, network analysis, and automated quality assessment will be developed. AIPHES will investigate a novel summarization scenario for information preparation from heterogeneous sources. There will be close interaction with end users who prepare textual documents in an online editorial office, and who should therefore profit from the results of AIPHES. In-depth knowledge in one of the above areas is desirable but not a prerequisite.
  
−
== Natural Language Generation Expert ==
+
Participating research groups at the Technische Universität Darmstadt are Knowledge Engineering (Prof. Fürnkranz), Ubiquitous Knowledge Processing (Prof. Gurevych, Dr. Eckle-Kohler), Algorithmics (Prof. Weihe), Language Technology (Prof. Biemann), Multimedia Communications (Dr. Rensing). Participants at the Ruprecht-Karls-University Heidelberg are the Institute for Computational Linguistics (Prof. Frank) and the Natural Language Processing Group (Prof. Strube) of Heidelberg Institute for Theoretical Studies (HITS). Cooperating partners are the Institute for Communication and Media of the University of Applied Sciences Darmstadt and other partners in the area of online media.
−
** Employer: Stripes39 (a domain specific content management startup)
 
−
** Rank or Title: Lead developer / architect
 
−
** Specialty: Natural Language Generation
 
−
** Location: Seattle, WA (downtown)
 
−
** Deadline: Applications accepted until the position is filled
 
−
** Date Posted: April 21, 2011
 
−
** Start Date: as soon as possible
 
−
** Duration: indefinite
 
  
−
Stripes39 is a well-funded Seattle startup with an NLG engine as a part of its core technology. The position will entail leading a team of computational linguists, architecting the NLG system, designing and managing the ontology, and testing of the NLG system output.  
+
AIPHES will emphasize close contact between students and their advisors, have regular joint meetings, a co-supervision by professors and younger scientists in the research groups, and an intensive exchange as part of the research and qualification program. The training group has the goal of publishing its results at leading scientific conferences and will actively support its doctoral researchers in this endeavor. The software that will be developed in the course of AIPHES should be put under the open source Apache Software License 2.0 if possible. Moreover, the research papers and datasets should be published with open access models.
  
−
** education:  Ph.D. (preferred) or M.S./M.A. with strong leadership record
+
'''Requirements'''
−
** experience with NLG system design and testing (required)
 
−
** knowledge of recent NLP tools and techniques (required)
 
−
** large system development skills essential, including experience with Python and Java
 
  
−
Send email with resume to
+
We are looking for exceptionally qualified candidates with a degree in Computer Science, Computational Linguistics, or a related study program. We expect ability to work independently, personal commitment, team and communication abilities, as well as the willingness to cooperate in a multi-disciplinary team. Desirable is experience in scientific work. Applicants should be able to work with German-language texts, and, if necessary, to acquire German language skills during the training program. We specifically invite applications of women. Among those equally qualified, handicapped applicants will receive preferential consideration. International applications are particularly encouraged.  
−
    Scott Farrar (farrar@uw.edu)
 
−
and
 
−
    Parmeshta Jain (parmeshtajain@stripes39.com)
 
  
−
Please indicate in your cover letter your specific qualifications with NLG.
+
The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. Its unique research initiative "Knowledge Discovery in the Web” emphasizes natural language processing, text mining, machine learning, as well as scalable infrastructures for assessment and aggregation of knowledge. The Institute for Computational Linguistics (ICL) of the Ruprecht-Karls-University Heidelberg is one of the large centers for computational linguistics both in Germany and internationally. The ICL and the NLP department of the HITS jointly run the graduate program „Semantic Processing“ with an integrated research training group “Coherence in language processing: Semantics beyond the sentence”, which has a close connection to the topics in computational linguistics of AIPHES.  
  
 +
Applications should include
  
−
== Postdoctoral Researcher, Natural Language Processing (information extraction) ==
+
* a motivational letter that refers to one of the above listed guiding themes,
−
** Employer:  New York University
+
* a CV with information about the applicant’s scientific work,
−
** Rank or Title:  Post-doctoral researcher
+
* certifications of study and work experience,
−
** Specialty: Natural Language Processing (information extraction)
+
* as well as a thesis or other publications in electronic form.
−
** Location:  New York, NY
+
They should be submitted until March 23th, 2015 to the spokesperson of the research training group, Prof. Dr. Iryna Gurevych (Fachbereich Informatik, Hochschulstr. 10, 64289 Darmstadt) using the e-mail address apply-for-aiphes(a-t)ukp.informatik.tu-darmstadt.de. The interviews may start any time. The positions are open until filled.
−
** Deadline: Applications accepted until the position is filled
 
−
** Date Posted: March 24, 2011
 
−
** Start Date: September 1, 2011
 
−
** Duration: 1 year, renewable
 
  
−
The Proteus Project (New York University Dept. of Computer Science) anticipates an opening for a computational linguist to conduct and support its research in information extraction, including in particular the analysis of trends in large collections of scientific articles and patents.
 
  
−
** education: Ph.D. (preferred) or M.S. with strong research record
+
==Research staff position in Natural Language Processing==
−
** strong publication record
+
* Employer: UKP Lab, Technische Universität Darmstadt (Germany)
−
** experience with NLP tools for English required
+
* Title: Research staff position in Natural Language Processing
−
** experience with NLP tools for German and/or Chinese a plus
+
* Topics: Natural Language Processing, Question Answering
−
** experience with citation analysis, sentiment analysis, terminology extraction a plus
+
* Location: Darmstadt (Germany)
−
** large system development skills essential, including experience with Unix and Java
+
* Deadline: open until the position is filled
−
** target start date 1 September 2011, with some flexibility for an earlier or later start
+
* Date Posted: March 4, 2015
 +
* Contact: Nicolai Erbs erbs@ukp.informatik.tu-darmstadt.de
  
−
Send email with c.v. and links to publications to
+
'''Job Description'''
−
    Prof. Ralph Grishman (grishman@cs.nyu.edu)
 
−
and
 
−
    Prof. Adam Meyers (meyers@cs.nyu.edu)
 
  
−
Indicate in your response your specific qualifications which match the requirements listed above.
+
The [https://www.ukp.tu-darmstadt.de Ubiquitous Knowledge Processing Lab] (UKP Lab) at the Department of Computer Science of the Technische Universität (TU) Darmstadt, Germany, has an opening for a research staff position (TV-TU E13 German payscale) with a focus on question answering and summarization of social media content. This DFG-funded basic [https://www.ukp.tu-darmstadt.de/research/current-projects/qa-eduinf research project] conducts research integrating semantic text analysis, such as semantic role labeling (SRL), into higher-level applications in information access to improve their overall results (Principal Investigator: Prof. Dr. Iryna Gurevych). Thereby, we pay special attention to graph-based techniques.  
  
 +
The selected candidate will work with a large corpus from a social question-answer platform on the Web. He/she will be expected to identify interesting research problems, research ways of utilizing semantic role labeling in novel NLP tasks, and develop means and resources to evaluate the results. The newly established Research Training Group “[http://www.aiphes.tu-darmstadt.de Adaptive Information Processing of Heterogeneous Content]” (AIPHES) funded by the DFG [3] provides an excellent research environment for this kind of work. The funding is available for the duration of at least two years with an option for extension.
  
 +
'''Requirements'''
  
−
== Postdoctoral Researcher, Semantic Parsing ==
+
We ask for applications from applicants in Computer Science or Computational Linguistics, preferably with completed PhD and research publications. Experience in Question Answering or a related field like summarization or information retrieval is a definite advantage. Excellent graduates of these disciplines willing to work towards a PhD are also encouraged to apply. Ideally, the candidates should have strong research skills as well as demonstrable experience in designing and implementing complex natural language processing (NLP) applications in Java and/or with graph-based algorithms. A very good command of German is a definite plus, since the target corpus is in the German language. Excellent communication skills in English and the ability to work in a team are required.
−
** Employer: CCLS, Columbia University
 
−
** Specialty: Semantic parsing, parsing, German NLP
 
−
** Location: New York, NY
 
−
** Deadline: Applications accepted until the position is filled.
 
−
** Date Posted: March 16, 2011
 
  
−
Position available: Postdoc in Natural Language Processing (Semantic Parsing)
+
Applications should include a CV, a motivation letter, an outline of research experience, as well as names and addresses of two referees. Applications from women are particularly encouraged.  All other things being equal, candidates with disabilities will be given preference. Please send the application to: erbs@ukp.informatik.tu-darmstadt.de by 23.03.2015. The position is open until filled.
  
−
Start Date: September 1, 2011 (possibly earlier)
 
  
−
Duration: 1 year, renewable for a second year
+
==PhD-position in NLP/Text Mining==
 +
* Employer: UKP Lab, Technische Universität Darmstadt (Germany)
 +
* Title: PhD-position in NLP/Text Mining
 +
* Natural Language Processing, Text Mining
 +
* Location: Darmstadt (Germany)
 +
* Deadline: open until the position is filled
 +
* Date Posted: March 4, 2015
 +
* Contact:  Richard Eckart de Castilho (eckart (at) ukp (dot) informatik (dot) tu-darmstadt (dot) de)
  
−
Description: the postdoc will work in the context of a large, multi-site project which aims at predicting the emergence of technical trends from scientific literature in English, German, and Chinese.  The specific issues the postdoc will work on revolve around natural language processing (NLP) tasks, in particular semantic parsing, and detecting degree of commitment.  The postdoc will also be involved in issues of system integration, working with a full-time programmer.
+
'''Job Description'''
  
−
Required background:
+
The Ubiquitous Knowledge Processing Lab (UKP Lab) at the Department of Computer Science of the Technische Universität (TU) Darmstadt, Germany, has an opening for a PhD student (TV-TU E13 German payscale) in a research project in Natural Language Processing (NLP) for a computer scientist or computational linguist. The project focusses on building an open text-mining infrastructure at the European level (Principal Investigator: Prof. Dr. Iryna Gurevych).
  
−
* Ph.D. in hand in computer science, linguistics, or related discipline.  (Note: in exceptional circumstances, a candidate with only a masters degree could be considered as a "pre-doc".)
+
Thereby, major NLP and Text Mining platforms, including UIMA and GATE, should be made interoperable and applied to knowledge discovery in scientific literature, e.g. entity disambiguation and linking to a background knowledge repository. In the past, the UKP Lab has developed several frameworks such as the Darmstadt Knowledge Processing Repository (DKPro) and UBY. They form the foundation for the research and implementation work to be done. The graduate program Knowledge Discovery in Scientific Literature provides further research environment for the work to be carried out.
−
* Programming skills.
 
−
* Ability to work in a group.
 
  
 +
'''Requirements'''
  
−
Desired background:
+
Applicants in Computer Science or Computational Linguistics must have demonstrable experience in designing and implementing complex natural language processing (NLP) systems or NLP-based applications and the programming language Java as well as strong research skills. Excellent communication skills in English and the ability to work in a team are required. Experience in open-source software development is a plus.
  
−
* Knowledge of German, German linguistics, and/or German NLP.
+
The following academic qualification is necessary: completion of an M.A./M.Sc. in Computer Science, Computational Linguistics, or a related field.
−
* Acquaintance with FrameNet.
 
−
* Knowledge of parsing.
 
−
* Knowledge of machine learning techniques.
 
  
 +
Pending the successful completion of the ongoing administrative steps for the project, funding of this position is available from June 1st, 2015 for the duration of three years.
  
−
Location: Center for Computational Learning Systems, Columbia University, New York City
+
Applications should include a CV, a motivation letter, an outline of research experience, as well as names and addresses of two referees.
  
−
If interested, please mail to Owen Rambow, rambow@ccls.columbia.edu, a CV along with a short note explaining how you meet each of the required and desired background elements above.  (A bulleted list would be fine, with a sentence per background element.)
+
Interviews may start at any time and will continue until the position has been filled. Email address for inquiries and applications: eckart (at) ukp (dot) informatik (dot) tu-darmstadt (dot) de
  
 +
The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. The UKP Lab is also home to the unique research initiative "Knowledge Discovery in the Web” which emphasizes natural language processing, text mining, machine learning, as well as scalable infrastructures for assessment and aggregation of knowledge.
  
 +
The Technische Universität Darmstadt promotes gender equality and in particular encourages women to apply. Preference will be given to physically handicapped persons if they are equally qualified.
  
  
−
== Senior Research Scientist, Natural Language Processing ==
+
==Internship position available in Natural Language Processing at Adobe Research==
−
** Employer: ETS (Educational Testing Service)
+
* Employer: Adobe Systems Incorporated
−
** Specialty: Research
+
* Title: NLP Scientist Intern
−
** Location: Princeton, New Jersey, 08540
+
* Natural Language Processing, Machine Learning, Dialog Systems.
−
<p><strong>ETS (Educational Testing Service</strong>), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve.</p> <p>In the context of this position, we will turn to your skills and scientific/technical expertise to conceptualize, design, obtain support for, conduct and manage major research and/or development projects, particularly those in which natural language processing (NLP) techniques are applied to problems in education or assessment. Your responsibilities would include planning a long-term substantive research agenda, designing/conducting complex scientific studies, disseminating results and implications of projects and functioning as an expert in the major facets of the program. This position further offers the opportunity to generate or contribute to new or modified NLP theories and methodology and provide leadership for the development of new products or services for education and for the conduct of major projects in automated scoring and NLP.</p><p>Our qualifications include:</p> <ul> <li>A Ph.D in Natural Language Processing, Computational Linguistics or Computer Science</li> <li>Eight years of independent research experience providing evidence of continuing and substantial contributions to a field of study</li> <li>A strong statistical and machine learning background</li> <li>Demonstrable contributions to new and/or modified theories of Natural Language Processing and their implementation in automated systems</li> <li>Practical expertise with NLP tools and fluency in at least one major programming language (e.g. Java, Perl, C/C++, Python)</li> <li>The ability to lead the development of proposals for major research, development, or large-scale NLP projects,</li> <li>Ability to develop, promote and maintain professional relationships as representative, consultant or advisor to external advisory or policy boards and councils, research organizations, educational institutions and educators </li> <li>Familiarity with the application of NLP tools to educational problems</li> <li>Demonstrated ability to lead project teams and to work collaboratively with a diverse set of contributors</li> </ul> <p>We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. <strong>Please apply online at: http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=104122&type=&cfcend</strong></p> <p>EOE</p><P>[http://www.Click2Apply.net/dm5y53s Apply Here]
+
* Location: San Jose, CA
 +
* Deadline: open until the position is filled
 +
* Date Posted: February 24, 2015
 +
* Trung Bui: bui@adobe.com
  
 +
'''Description''':
 +
We are looking for an NLP scientist intern who will work on exploring deep learning for mapping between natural language queries and logic form and/or SQL.
  
−
== Text Mining and Natural Language Processing Specialists for eBay ==
+
'''Key Qualifications'''
−
** Employer: eBay
+
*Experience with semantic parsing, dialog systems.
−
** Rank: Applied Researcher
+
*Experience with machine learning, deep learning.
−
** Speciality: Information Retrieval & Text Mining / NLP
+
*Good programming skills in Java and/or Python
−
** Location: San Jose, CA, USA
 
−
** Deadline: Until filled
 
−
** Date Posted: 2/25/2011
 
−
** Contact email: smohan@ebay.com
 
−
eBay is looking for experts in web-scale Information Retrieval and Text Mining / Natural Language Processing to join the Search Science team.
 
  
−
Bring your ideas, energy, and dedication to improve search experience on eBay. The world class search engine at the heart of eBay serves more than 350 million queries every day. The Search Science team is passionate about building the query services and relevance factors that will match our users’ needs to the products in the world's largest online marketplace, and we are looking for top-notch applied researchers.
+
'''Education'''
 +
M.S. or PhD student in Computer Science or related field
  
 +
'''Additional Requirements'''
 +
No.
 +
== Postdoc in Advanced Machine Learning (with an Emphasis on NLP) ==
  
−
'''QUALIFICATIONS'''
+
*Employer:  University of Notre Dame
 +
*Job Number:  4015639
 +
*Date Posted:  02/17/2015
 +
*Application Deadline: Open Until Filled
 +
*Online application: http://www.postdocjobs.com/jobs/jobdetail.php?jobid=4015639
  
−
·        Ph.D. in Computer Science or related field plus 4 years of relevant software industry R&D experience required.
+
'''Job Description'''
  
−
·        Expertise in Information Retrieval and Nature Language Processing.
+
The Computer Science Department at the University of Notre Dame in collaboration with the Institute for Intelligent Systems at the University of Memphis anticipates hiring a postdoctoral fellow starting as early as April 1st 2015 for one year and renewable for a second year. The position includes a full time salary and benefits and is jointly funded by sponsored research split between the University of Notre Dame and the University of Memphis. Review of applications will start immediately and continue until the position is filled.
  
−
·        Strong statistical and machine learning background.
+
The successful candidate will conduct research in machine learning applied to dialog-centered natural language understanding. He/she will participate in the development and application of machine learning techniques in the hierarchical and temporal domains to multi-party speech data collected in authentic educational contexts.
  
−
·        Experience and proficiency in Java and/or C++, Perl or similar scripting languages, and distributed processing of documents and web logs using Hadoop.
+
The candidate will work under the supervision of Dr. Sidney D’Mello, who has joint appointments in the Departments of Computer Science and Psychology at Notre Dame, and Dr. Andrew Olney in the Institute for Intelligent Systems at the University of Memphis.
  
−
·        Track record of deploying cutting edge technology in an industrial setting.
+
The position offers a unique postdoctoral training experience and unsurpassed publishing opportunities within a multi-department multi-institution grant-funded project. The postdoc will be encouraged to build advanced technical skills, strengthen their research portfolios via peer-reviewed publications, develop leadership skills by mentoring students, and gain expertise in authoring collaborative grant proposals.
  
−
'''JOB REQUIREMENTS'''
+
'''Required'''
  
−
·        Use your knowledge, skills, and passion for improving search to find opportunities in eBay's log data and search results.
+
(1) Ph.D. in Computer Science, Artificial Intelligence, or a related field at the time of hire; (2) Research experience in advanced machine learning techniques for sequential and hierarchical domains (e.g., probabilistic graphical models, sequence tagging, deep learning) ; (3) Evidence of a strong publication record in the aforementioned areas
  
−
·        Use deep domain expertise to individually drive innovative ideas.
+
'''Desired'''
  
−
·        Participate in brainstorming and discovery exercises to determine new ideas.
+
(1) Research experience in one or more of the following research areas (acoustic signal processing, automatic speech recognition, natural language understanding, discourse modeling) ; (2) Experience working on interdisciplinary projects and/or on educational research; (3) Experience mentoring graduate and undergraduate students
  
−
·        Build experimental frameworks and gather data from across the company to support your work.
+
For more information see the application link above.
  
−
·        Conduct experiments, write prototypes, write specifications, and optionally write production code to deploy new features and methods that improve search quality.
+
== Software Engineer/NLG Specialist in Sydney, Aus - Natural Lanaguage Generation==
 +
*Employer: Macquarie Group
 +
*Title: Software Engineer/NLG Specialist
 +
*Specialties: Natural Language Generation, Application Development, Linguistics
 +
*Location: Sydney, Australia
 +
*Date posted: 29 January 2015
 +
*Contact information: andy.logan@macquarie.com
 +
*Online application: http://www.careers.macquarie.com/cw/en/job/923649/software-engineers-nlpnlg-programming-equities-research
  
−
·        Lead projects and collaborate with other researchers, engineers, and product teams to develop strategic and tactical enhancements to search.
+
'''Job Description'''
 +
*Unique opportunity within the Equities Research space for a Engineer with strong NLG experience
 +
*New Systems Implementation with Opportunity to push the envelope within Research
 +
*Permanent Opportunity – Sydney CBD Location
  
−
·        Provide technical leadership and mentoring to other team members.
+
'''About the role'''
  
−
·        Lead and contribute to multiple small team projects.
+
We are seeking a Software Engineer to join our Equities Research business team. This is a truly unique opportunity for someone to join Macquarie working on a pioneering project within the business which could be a big game changer. The role will utilise your strong NLG/NLP experience and you will be responsible for building and developing the NLG functionality within the team. If you are interested in gaining commercial experience with NLG, have excellent written communications and have a flair for English grammar, have a passion for finance and in particular Equities Trading and want the opportunity to really pioneer something, then this could be the position for you.  
  
−
·        Communicate your methodology and results to a community of researchers, developers, analysts, and product managers working in search. Communicate to technical and nontechnical audiences inside and outside the search team.
+
'''Key Responsibilities'''
 +
*Design and Develop our first NLG/NLP Application within Equities Research
 +
*Work closely with the vendor to understand the application limitations and functionality
 +
*Drive the development with the Head of Research as well as industry analysts
 +
*Mature the offering and look for further areas of development within the business
  
−
·        Participate in meetings with other eBay groups to document best practices and facilitate a knowledge base.
+
'''About You'''
  
−
+
To be successful in this role as a Software Engineer you will possess a University Degree in Computer Science/Mathematics and would have probably undertaken further studies of some sort (Masters/PhD) and have previous Natural Language Generation/Processing experience in either a commercial or research environment. You will have a passion and flair for the English Language as well as having a interest in financial services and in particular traded products. Previous OO Development experience would be highly regarded. In addition you will possess the following:
 +
 
 +
*Tenacity to produce different If Statements and to develop the platform further
 +
*Strong interest in Artificial Intelligence/Machine Based Learning.
 +
*Keen interest in finance
 +
*Self Starter and strong attention to detail to really drive uptake of the platform
  
 +
This is a unique opportunity within Macquarie and quite possibly a pioneering project within the Investment Banking space. We are looking to hire two developers into the team and are flexible across career levels from recent Grads to Senior Engineers. Here at Macquarie we truly believe in you owning your future, at Macquarie you’ll own it. Find out more at the new Careers website: '''macquarie.com/career'''
  
−
== Freelance British English, Japanese, and Mexican Spanish computational linguists==
+
If you meet the above requirements, please apply via the following link.  Alternatively to find out more about the position and a confidential discussion, please contact '''Andy Logan on 02 8237 8472 or andy.logan@macquarie.com'''
−
** Employer: The Lingua Team
 
−
** Rank: Freelance contractor
 
−
** Speciality: Speech & Natural Language Processing
 
−
** Location: Seattle, WA (work can be done remotely)
 
−
** Deadline: 5/1/2011
 
−
** Date Posted: 2/12/2011
 
−
** Contact email: http://www.thelinguateam.com
 
−
The Lingua Team, a company based in the Seattle area, dedicated to linguistic services is always looking for a computational linguists with native or near native knowledge of the most common languages to do freelance work remotely. Please, visit our site and email your resume for consideration.
 
  
 +
== PostDoc Position in Heidelberg (NLP, Networks, Databases, Machine Learning)==
 +
*Employer: Heidelberg Institute for Theoretical Studies gGmbH (HITS)
 +
*Title: PostDoc
 +
*Specialties: Natural Language Processing, Networks, Databases, Machine Learning
 +
*Location: Heidelberg, Germany
 +
*Deadline: 20 February 2015
 +
*Date posted: 29 January 2015
 +
*Contact information: michael.strube (at) h-its.org
 +
*Online application: https://application.h-its.org/intern/register.php?id=o51kdq1
  
−
== French computational linguist==
+
'''Job Description'''
−
** Employer: The Lingua Team
+
PostDoc position available in the NLP group at the Heidelberg Institute for Theoretical Studies (HITS) in Heidelberg, Germany
−
** Rank: Language support contractor
 
−
** Speciality: Speech recognition
 
−
** Location: Seattle, WA (work can be done remotely)
 
−
** Deadline: 03/04/2011
 
−
** Date Posted: 12/28/2010
 
−
** Contact email: http://www.thelinguateam.com
 
−
The Lingua Team, a Seattle area based company, dedicated to linguistic services is looking for a French computational linguist to create computational grammars in xml format. Knowledge of French is a must. Please, email your resume for consideration.
 
  
 +
One position is available for a PostDoc working in Natural Language Processing, in particular in the areas of Entity Linking, Cross-document Coreference Resolution, Coreference Resolution, Word Sense Disambiguation. The position is within a newly funded project on "Scalable Author Name Disambiguation in Bibliographic Databases". Project partners are DBLP (http://dblp.org/db/) and zbMATH (https://zbmath.org/), the two leading bibliographic databases in computer science and mathematics which will also supply the data to be disambiguated and the gold standard. The project will be funded for three years starting June 1st, 2015.
  
−
== Senior Research Assistant, Natural Language Processing ==
+
The candidate should have a strong background in Natural Language Processing and possess a PhD in either Computational Linguistics or Computer Science. Experience with machine learning, databases, parallel programming, big data and networks as well as strong programming skills are required.
−
** Employer: ETS (Educational Testing Service)
 
−
** Speciality: Research
 
−
** Location: Princeton, New Jersey 08540
 
−
** Date Posted: 02/21/2011
 
−
** Please apply online: http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=100522&type=True&cfcend
 
  
 +
HITS gGmbH is a private non-profit research institute carrying out multidisciplinary research in the computational sciences. It receives its base funding from the HITS Stiftung.
  
−
<p><strong>ETS (Educational Testing Service)</strong>, with headquarters in <strong>Princeton, NJ</strong>, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve.</p>
+
The NLP group (http://www.h-its.org/en/research/nlp/) at HITS is an interdisciplinary research group that works on applications in the area of discourse and dialogue, in particular coreference resolution, entity linking, automatic summarization, and knowledge extraction from semistructured input. The NLP group at HITS works closely together with the Computational Linguistics Department at the University of Heidelberg.  
  
 +
To apply, please enter your application via the following link: https://application.h-its.org/intern/register.php?id=o51kdq1 (reference Postdoc NLP HITS-01-2015)
  
 +
Applications must be submitted by February 20, 2015. Please note that applications not submitted via the online system will not be considered. Inquiries about the position can be directed at Michael Strube (michael.strube (at) h-its.org).
  
−
<b>Job Description:</b>
 
  
−
Educational Testing Service has an opening for a Senior Research Assistant position in the Applied Research and Development Group. The successful candidate will primarily provide support to Research Scientists working on a branch of computer science and computational linguistics known as Natural Language Processing (NLP) by assisting in all phases of research projects, including research design, project management, data collection and analysis. He or she will also collaborate with researchers in preparing study results for publication or presentation, including literature searches, producing charts and graphs, writing and editing.</p>
+
==Postdoc position in Cardiff (NLP, IR, machine learning)==
 +
*Employer: Cardiff University
 +
*Title: Postdoc
 +
*Specialties: Natural language processing, information retrieval, machine learning, distributional models, relation extraction, commonsense resoning
 +
*Location: Cardiff, UK
 +
*Deadline: 3 February 2015
 +
*Date posted: 9 January 2015
 +
*Contact information: SchockaertS1@cardiff.ac.uk
  
 +
'''Job Description'''
  
−
<b>Basic Functions and Responsibilities:</b>
+
Applications are invited for a postdoctoral research associate post in the School of Computer Science & Informatics at Cardiff University. This is a full-time, fixed-term post for 30 months, starting on 1 May 2015 or as soon as possible thereafter.
  
−
Coordinate research project workflow including planning and designing pilot and field testing; data collection, analysis, and presentation; preparation, production, and distribution of proposals and reports; maintaining data files; and producing workshop materials. Schedule services with other ETS departments and project staff. Act as liaison between project directors and field staff, support staff, and research community, as assigned. Plan, manage, and perform annotations for a variety of projects.
+
The main aim of this project is to learn fine-grained semantic relations from large text corpora. Initially such relations will be obtained in an unsupervised way, by identifying semantic relations with spatial relations between vector-space representations. Subsequently, open-domain, supervised relation extraction methods will be developed which use the output of the unsupervised methods as training data. This research will be part of an ERC funded project on the use of semantic relations between natural language terms in logics for commonsense reasoning. You will work closely with Dr Steven Schockaert. You will possess a PhD in Computer Science or a closely related area, or have equivalent experience.
  
−
<ul>
+
'''Essential criteria'''
−
<li>Collect, organize, and verify data; analyze, synthesize, and interpret data; perform statistical calculations.
 
  
−
<li>Monitor activities of temporary and support staff and data collection centers to control budgets, workflow, quality of coding operations, and project activities.
+
*Proven ability to undertake research in a relevant research area (e.g. natural language processing, information retrieval, machine learning) at an international level, as evidenced by research output.
 +
*Excellent programming skills (java or C/C++).
 +
*A demonstrable history of contributing to excellent publications in relevant top-tier conferences (e.g. ACL, EMNLP, SIGIR, CIKM, IJCAI, AAAI, ICML) and journals (e.g. Artificial Intelligence, Journal of Artificial Intelligence Research, ACM Trans. Information Systems, IEEE Trans. Knowledge and Data  Engineering).
 +
*Proven ability to communicate specialist ideas clearly in English using written media.
 +
*Excellent organisational skills with a proven ability to work independently and be self-managing, to prioritise your work and meet deadlines within the framework of an agreed programme.
 +
*A PhD in Computer Science or closely related area, or equivalent experience.
  
−
<li>Develop coding systems, procedures, and manuals; research instruments; statistical analyses; and files of current resource materials for workshops and projects.
+
'''Desirable criteria'''
  
−
<li>Write, revise, edit, and proofread research instruments, project documents and publications, memoranda, and correspondence.
+
*Knowledge of statistical natural language processing.
 +
*Knowledge of unsupervised and semi-supervised learning.
 +
*Knowledge of relation extraction.
 +
*Experience with analysing large text corpora using a high-performance computing environment.
 +
*Experience with dimensionality reduction methods such as multi-dimensional scaling, singular-value decomposition, and non-negative matrix factorisation.
  
−
<li>Contribute to formal reports and proposals (or sections thereof).
+
'''More information'''
 +
For more details about the project and instructions on how to apply, please go to www.cardiff.ac.uk/jobs and search for job 2972BR.
  
−
<li>Update publications and prepare graphics, tables, charts, graphs, figures, and visual aids. Administer tests, research instruments, interviews, and surveys.
+
==Post‐Doctoral and all levels of Research Scientist at the Allen Institute for Artificial Intelligence==
 +
*Employer: Allen Institute for Artificial Intelligence (AI2)
 +
*Title: Post-doc/Research Scientist
 +
*Specialties (one or more): Natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, question answering and explanation
 +
*Location: Seattle, WA
 +
*Deadline: N/A, we are hiring throughout 2015
 +
*Date posted: 12/9/2014
 +
*Contact information: ai2-info@allenai.org, allenai.org
  
−
<li>Conduct literature searches and prepare reference lists, evaluating and selecting materials to be included.
+
'''Job Description'''
  
−
<li>Operate computer terminal to enter, edit, and update data; program and utilize sophisticated statistical packages for data analysis; act as data custodian for cost center.
+
The Allen Institute for Artificial Intelligence (AI2) is a non-profit research institute in Seattle founded by Paul Allen and headed by Professor Oren Etzioni.  The core mission of (AI2) is to contribute to humanity through high-impact AI research and engineering. We are actively seeking Post Docs and Research Scientists at all levels who are passionate about AI and who can help us achieve this core mission by teaming to construct AI systems with reasoning, learning and reading capabilities.  
  
−
<li>Select and train field staff; instruct support staff.
+
'''Position Summary'''
  
−
<li>Arrange and attend meetings with clients, committees, and consultants.
+
AI2 currently has projects in the following areas:
 +
*Language and Vision
 +
*Information extraction and semantic parsing
 +
*Question answering
 +
*Language and reasoning
 +
*Machine learning and theory formation
 +
*Semantic search
 +
*Diagram understanding
  
−
<li>Meet with clients to plan or interpret guidelines, as assigned.
+
AI2 Research Scientists will have a primary focus in one of these specific areas but will also have the opportunity to contribute and engage in a variety of other areas critical to our research and mission.  These include opportunities to participate in or lead select R&D projects, work with management to develop the long term vision for knowledge systems R&D, take a leading role in overseeing and implementing software systems supporting the research, author and present scientific papers and presentations for peer-reviewed journals and conferences, and help develop collaborative and strategic relationships with relevant academic, industrial, government, and standards organizations.
−
</ul>
 
  
 +
'''Applicant'''
  
−
<b>Required Experience:</b>
+
Applicants for Research Scientist at AI2 should have a strong foundation (typically PhD level) in one or more of the following areas: natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, or question answering and explanation.  We look favorably upon extensive work experience demonstrating application of your research.
  
−
<p>EDUCATION A Bachelor's degree in a behavioral or social science with coursework in Statistics is necessary. Coursework or experience working in linguistics, computer science and/or natural language processing (NLP) technologies preferred.</p>
+
'''Application Process'''
  
−
<p>EXPERIENCE A successful candidate will have exemplary written, grammatical, and technical skills. Three years of research-related experience in an academic or professional setting is necessary.
+
All candidates are required to submit a resume, an expression of interest, and the names and contact information of at least 2 references (including email addresses) through our website: http://allenai.github.io/ai2website/jobs.html. We particularly welcome applications from women, people of color, members of the LGBT communities, and people with disabilities. Visa sponsorship is available.
−
</p>
 
  
  
 +
==Multiple Tenure-Track Positions (w/focus in Data Analytics) at The Ohio State University Department of Computer Science and Engineering==
 +
* Employer: The Ohio State University
 +
* Title: Assistant/Associate/Full Professor
 +
* Specialty: open, two positions in Data Analytics
 +
* Location: Columbus, OH, USA
 +
* Deadline: January 31, 2015 (Consideration starts November 2014)
 +
* Date Posted: November 17, 2014
 +
* Website: https://web.cse.ohio-state.edu/cgi-bin/portal/fsearch/apply.cgi
  
 +
The Computer Science and Engineering Department at the Ohio State University expects to fill multiple tenure-track positions and seeks applicants in all areas of computer science.
  
 +
Particular emphasis will be placed on filling two open rank positions in conjunction with a broad university-wide research initiative on Data Analytics (https://discovery.osu.edu/focus-areas/data-analytics/collaborative.html), and a recently announced undergraduate program in Data Analytics (https://data-analytics.osu.edu). Areas of interest for these positions include (but are not limited to): data mining, big data management, cloud computing systems, data analytics; application of machine learning or data mining or data visualization to problems in network science (including social networks), health, and climate science.
  
−
== Associate Research Engineer, Natural Language Processing ==
+
The department is committed to enhancing faculty diversity; women, minorities, and individuals with disabilities are especially encouraged to apply.
−
** Employer: ETS (Educational Testing Service)
 
−
** Speciality: Research
 
−
** Location: Princeton, New Jersey 08540
 
−
** Date Posted: 01/07/2011
 
−
** Link to website: http://www.Click2Apply.net/xymwg8p
 
  
−
<p><strong>ETS (Educational Testing Service)</strong>, with headquarters in <strong>Princeton, NJ</strong>, is a global $1.3B not for profit organization.  Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve.</p> <p>In this team-oriented role, the selected candidate will assist with the implementation of natural language processing (NLP) components of medium- to large-scale, complex research projects for ETS researchers, testing program areas and external clients. You will be offered the opportunity to consult with research scientists in the application, modification, and documentation of such systems and contribute to the implementation and support of new NLP methodologies to support research system development.</p> <p>Be prepared to further assist in the preparation of NLP development components of proposals and cost/resource estimates, implement components of technical documentation of NLP software systems, solutions and results and regularly attend area-wide staff training and development sessions.</p><p>In addition to exceptional verbal/written communication skills, our qualifications include:</p> <ul> <li>Master's degree in Computer Science, NLP, Language Technology, Computational Linguistics, Linguistics or a closely related field</li> <li>A strong programming background, in languages such as Perl, Java, Python, and C, and facility with computational algorithms are essential</li> <li>Coursework in statistics and experience in using machine learning toolkits are highly desirable</li> <li>Ability to maintain continuing awareness of recent advances in natural language processing (including speech processing), machine learning, and software development methodologies</li> <li>Knowledge of UNIX and Windows computing environments</li> <li>Familiarity with UNIX tools and scripting languages and  algorithms, methods and data structures in common use in the processing of speech and language data</li> </ul> <p>We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at:</p> <p>[http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=99822&type=&cfcend http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=99822&type=&cfcend]</p> <p>EOE</p><p>[http://www.Click2Apply.net/xymwg8p Apply Here]
+
Applicants should hold or be completing a Ph.D. in CSE or a closely related field, have a commitment to and demonstrated record of excellence in research, and a commitment to excellence in teaching.
  
−
== Associate Research Scientist, Speech ==
+
To apply, please submit your application via the online database. The link can be found at: https://web.cse.ohio-state.edu/cgi-bin/portal/fsearch/apply.cgi.
−
** ETS (Educational Testing Service)
 
−
** Research
 
−
** Princeton, New Jersey, United States, 08540
 
−
** 02/06/2011
 
−
** 01/07/2011
 
−
** http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7348049
 
  
−
<strong>ETS (Educational Testing Service),</strong> with headquarters in Princeton, NJ, is a global $1.3B not for profit organization.  Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve.</p> <p>In this integral position, the selected candidate will apply their scientific and technical skills to conceptualize, design, obtain support for, conduct, manage and disseminate the results of research projects in the field of automated speech assessment, or portions of large-scale research studies or programs in the same field. <br /><br />You will be offered the opportunity to develop and/or modify theories to conceptualize and implement new capabilities in automated scoring and speech-based analysis and evaluation systems used to improve assessments, learning tools and test development practices. Be prepared to design/conduct research studies and capability development, oversee select portions of research proposals and project budgets and function as an expert in major facets of the projects.</p><p>Our requirements include:</p> <ul> <li>Ability to participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles</li> <li>Must be able to develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators </li> <li>Ph.D. in Computational Linguistics, Computer Science, Electrical Engineering or related areas, with strong emphasis on speech technology, natural language processing, and machine learning, and preferably some education in linguistics </li> <li>Evidence of substantive research experience and/or experience in developing and deploying speech capabilities</li> <li>Demonstrable contributions to new and/or modified theories of speech processing and their implementation in automated system</li> <li>Expertise in the application of speech recognition systems and fluency in at least one major programming language (e.g. Java, Python, Perl), as well as strong experience in Unix scripting</li> </ul> <p>We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at: </p> <p>[http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=97431&type=&cfcend http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=97431&type=&cfcend]</p> <p>EOE</p>[http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7348049 Apply Here]
+
Review of applications will begin in November 2014 and will continue until the positions are filled.
  
−
== Assistant Professor Position at Graduate School of Information Science, NAIST, Japan ==
+
The Ohio State University is an Equal Opportunity/Affirmative Action Employer.
−
* Employer: Graduate School of Information Science, Nara Institute of Science and Technology
 
−
* Rank or Title: Assistant Professor (5 years + 3 year extension)
 
−
* Specialty: Natural Language Processing, Machine Learning, Text Mining
 
−
* Location: Nara, Japan
 
−
* Deadline: 11th November, 2011
 
−
* Date Posted: 12th October, 2011
 
−
* Contact email: (for informal enquiries) matsu@is.naist.jp
 
−
* Website: http://www.naist.jp/en/about_naist/job_opportunities/academic_positions/20111006index.html
 

Revision as of 03:53, 25 September 2015

Research Associate in Natural Language Processing and Machine Learning, National Centre for Text Mining, University of Manchester

  • Employer: National Centre for Text Mining (NaCTeM), School of Computer Science, University of Manchester, UK
  • Title: Research Associate
  • Speciality: Natural Language Processing, Text Mining
  • Location: Manchester, UK
  • Deadline: October 3, 2015
  • Date posted: September 25, 2015
  • Contact: sophia.ananiadou@manchester.ac.uk

Applications are invited for a researcher in NLP and machine learning at the National Centre for Text Mining (NaCTeM) (http://www.nactem.ac.uk), School of Computer Science, University of Manchester.

The candidate will be joining a strong team with 10+ staff at NaCTeM carrying out cutting edge research in NLP, biomedical text mining and machine learning. The post is funded by the Medical Research Council and focuses on developing new algorithms for unsupervised and semi-supervised methods in information extraction, topic analysis, active learning, text classification using deep learning/neural networks to support the development of systematic reviews at the National Institute for Health and Care Excellence.

Candidates should have a PhD in Computer Science with emphasis in Natural Language Processing and Machine Learning; excellent knowledge in unsupervised NLP methods, deep learning, neural networks; excellent knowledge in topic analysis, clustering and classification; track record of high-quality papers in conferences such as ACL, EMNLP, etc., and excellent programming skills.

  • Duration of post: 1st November 2015 for 24 months
  • Salary: £30,434 to £37,394 per annum

Research Environment

The National Centre for Text Mining has been a leading centre for biomedical text mining since 2004, with areas of expertise in information extraction, terminology management, text classification, text mining infrastructures and semantic search systems. NaCTeM is located in the Manchester Institute of Biotechnology (http://www.mib.manchester.ac.uk) and its staff belong to the 4th ranked Computer Science school in the UK (REF2014) which has been further assessed as having the "best environment in the UK for computer science and informatics research". NaCTeM is collaborating closely with the newly created Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology (AIST) in Japan (https://unit.aist.go.jp/airc//index.en.html), which focuses among others on data-knowledge integration, machine learning, natural language processing and text mining. The candidate will benefit from research stays and interactions with the team in Japan.

Informal enquiries can be made to Prof. Sophia Ananiadou (sophia.ananiadou@manchester.ac.uk)

Application forms and further particulars: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=103224.

Senior Research Fellow in Clinical Text Mining, National Centre for Text Mining, University of Manchester

  • Employer: National Centre for Text Mining (NaCTeM), School of Computer Science, University of Manchester, UK
  • Title: Senior Reaserch Fellow
  • Speciality: Natural Language Processing, Text Mining
  • Location: Manchester, UK
  • Deadline: October 1, 2015
  • Date posted: September 25, 2015
  • Contact: sophia.ananiadou@manchester.ac.uk

Applications are invited for a senior research fellow in Clinical Text Mining at the National Centre for Text Mining (NaCTeM) (http://www.nactem.ac.uk) , School of Computer Science, University of Manchester.

The candidate will be joining a large team working in a newly created interdisciplinary research centre (Manchester Molecular Pathology Innovation Centre, MMPathIC) funded by MRC/EPSRC, focusing on personalised or stratified medicine, identifying, validating and evaluating biomarkers for improving patient outcomes. The objectives of this post are to conduct research into extracting complex information from the scientific literature and clinical case reports to facilitate the discovery of biomarkers using adaptive natural language processing and text mining methods.

Candidates should have a PhD in Computer Science with emphasis in Natural Language Processing/Text Mining; working experience in NLP/TM, in particular adaptive information extraction at large scale; excellent knowledge in developing and adapting algorithms and software for text mining systems; experience in biomedical and clinical text mining; strong track record of high-quality papers in conferences such as ACL, EMNLP, Coling, etc., and in high quality journals; strong Java skills, knowledge of UIMA and RDF/SPARQL are highly desirable; proven ability to develop independent research proposals appropriate to clinical text mining.

  • Duration of post: 1st November 2015 for 48 months
  • Salary: £38,511 to £42,067 per annum

Research Environment

The National Centre for Text Mining has been a leading centre for biomedical text mining since 2004, with areas of expertise in information extraction, terminology management, text classification, text mining infrastructures and semantic search systems. NaCTeM is located in the Manchester Institute of Biotechnology (http://www.mib.manchester.ac.uk) and its staff belong to the 4th ranked Computer Science school in the UK (REF2014) which has been further assessed as having the "best environment in the UK for computer science and informatics research".

The Faculty of Medical and Human Sciences is a leading international centre for research and education in medicine with strong relationships with NHS partners and a key member of the Manchester Academic Health Science Centre. MMPathIC will draw on existing skills in biomarker discovery in Manchester, particularly within the context of the newly created £15M Stoller Biomarker Discovery Centre.

Informal enquiries can be made to Prof. Sophia Ananiadou (sophia.ananiadou@manchester.ac.uk)

Application forms and further particulars: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=10314.

Research Positions at AIRC (Artificial Intelligence Research Center), Japan

  • Employer: Artificial Intelligence Research Center (AIRC), National Institute for Advanced Industrial Science and Technology (AIST)
  • Title: Post-doctoral research fellows
  • Speciality: Machine Learning, Deep Learning, Neuro-Computing, Natural Language Processing, Text Mining
  • Location: Tokyo, Japan
  • Deadline: October 16, 2015
  • Date posted: September 25, 2015
  • Contact: airc-recruit-ml@aist.go.jp

Applications are invited for several positions in Artificial Intelligence at the Artificial Intelligence Research Center (AIRC) (https://unit.aist.go.jp/airc//index.en.html) under the auspices of the National Institute for Advanced Industrial Science and Technology (AIST) (http://www.aist.go.jp/index_en.html). Successful candidates will join a strong and expanding team of 35+ full-time researchers carrying out cutting edge research in AI.

Research at AIRC includes Machine Learning, Deep Learning, Planning and Search, Text Mining, NLP, Pattern Recognition, Brain Inspired Computation, and infrastructures for AI．With strong research links to industrial partners, there is a particular emphasis on applications of AI technology to real world problems as well as research into theories and fundamental AI technologies. We work in close cooperation with partners in both the private and public sector to cover a broad range of AI applications, including:


  • Artificial Intelligence for Human Life: Health-care, Smart city and Smart home, Innovative Retailing and Tourism, etc.
  • Artificial Intelligence for Manufacturing and Engineering: Intelligent Robots, Intelligent planning and control of manufacturing plants, etc.
  • Artificial Intelligence for Big Sciences: AI applications in Bio-Medical Science and Material Science, Geology, Computational Sociology, etc.


The advertised posts are funded by a project supported by NEDO (http://www.nedo.go.jp/english/index.html), which aims to establish a core research center for AI in Japan. Depending on the expertise and interest of the candidate, s/he will focus either on basic research or application related research of AI to real world problems. AIRC will carry out research in close cooperation with national or international research institutions such as Riken, CMU, Toyota Technology Institute in Chicago, the University of Manchester and DFKI.


Candidates should have a PhD in Computer Science with an emphasis on one of the following areas: Machine Learning, Deep Learning, Neuro-Computing, Planning and Search, Natural Language Processing, Text Mining, and Algorithms and Infrastructures for Big Data Analysis. Excellent programming skills and an excellent track-record of high-quality papers in top-tier conferences and journals would be a definite advantage.


We have three categories of post-doctoral research fellows. The duration of employment for all three categories is initially 24 months, with a possible extension of 36 months or longer, depending on performance. The starting date of employment will be 1st December 2015 at the earliest.

  • Category A: Post-Doctoral Research Fellow - Salary 5,500,000 JPY to 7,000,000 JPY per annum
  • Category B: Senior Post-Doctoral Research Fellow - Salary 7,000,000 JPY to 10,000,000 JPY per annum
  • Category C: Distinguished Research Fellow - Salary 10,000,000 JPY per annum


Research Environment


AIST is one of the largest publicly funded research institutes in Japan and a single research institute under the Ministry of Economy, Trade and Industry (METI). AIRC is the newest research center within AIST, established in May, 2015. As a core research center of AI in Japan, we have been establishing close cooperation with researchers at Japanese and international institutes, which include the University of Tokyo, Tokyo Institute of Technology, Riken, Osaka University, Tohoku University, National Institute of Informatics, Toyota Technology Institute in Chicago, CMU, University of Manchester and DFKI.


AIRC is located in Odaiba, which is in one of the central districts of Tokyo, a bustling international city and the capital of Japan. Tokyo offers both the modern urban lifestyle of Japan as well as a rich Japanese heritage.

Interested candidates are invited to send, via electronic mail, the following items to the Director of Artificial Intelligence Research Center (AIST), Prof. Junichi Tsujii (airc-recruit-ml@aist.go.jp):

  • A cover letter that clearly indicates their main research interests
  • Curriculum Vitae
  • The contact details of 3 referees
  • Copies of maximum of 3 publications that you have (co-)authored, and which are representative of your past research achievements. Each publication should be accompanied by a short summary that highlights its major contributions
  • An agenda of future research goals. This should be no longer than one page, including figures

Informal enquiries can be made to airc-recruit-ml@aist.go.jp


NOTE: Please send your application to airc-recruit-ml@aist.go.jp directly via e-mail, and not by post. It is NOT necessary to follow the specific CV formats specified on the AIRC website.


Open Rank Tenure Line Position in Linguistics at Northwestern University

  • Employer: Northwestern University
  • Title: Tenure-Line Professor (open rank)
  • Speciality: Open area
  • Location: Evanston, IL, USA
  • Deadline: December 1, 2015
  • Date posted: August 31, 2015
  • Contact: matt-goldrick@northwestern.edu

The Department of Linguistics at Northwestern University seeks to fill a tenure-line position (open rank) with a start date of September 1, 2016. We are looking for candidates who pursue an integrated approach to the scientific study of language, utilizing experimental methods, corpus analysis, and/or computational modeling to inform linguistic theory and its applications. The candidate will join a vibrant interdisciplinary language sciences community including researchers from cognitive science, cognitive neuroscience, computer science, philosophy, psychology, and speech science.

We seek exceptional candidates with forward-looking research programs that hold the promise of future external funding. Applicants that wish to be considered for appointment at the rank of Associate Professor or Professor are expected to have a record of excellence in research and teaching, success in obtaining external funding, and to have held both internal and external leadership roles.

To receive fullest consideration, applications should arrive by December 1, 2015. Candidates must hold a Ph.D. in Linguistics or a related field (e.g., Cognitive Neuroscience, Cognitive Science, Computer Science, Philosophy, Psychology, Speech and Hearing Sciences) by the start date. Please include a CV (including contact information), statements of research and teaching interests, reprints or other written work (including thesis chapters for ABD applicants), teaching evaluations (if available), and the names of three references (with their contact information). Please visit http://www.linguistics.northwestern.edu/ for online application instructions.

E-mail inquiries should be directed to Matt Goldrick, Chair (matt-goldrick@northwestern.edu). Northwestern University is an Equal Opportunity, Affirmative Action Employer of all protected classes including veterans and individuals with disabilities. Women and minorities are encouraged to apply. Hiring is contingent upon eligibility to work in the United States.


One PHD / POSTDOC position in Text Analysis at the University of Mannheim

  • Employer: The Data and Web Science Research Group, University of Mannheim, Germany
  • Title: PhD or Postdoctoral Research Fellow
  • Topics: Natural Language Processing
  • Location: Mannheim, Germany
  • Deadline: September 15, 2015
  • Date Posted: August 20, 2015
  • Contact: sfb884@informatik.uni-mannheim.de

The researcher is expected to contribute to the C4 project on “Measuring a common space and the dynamics of reform positions” within the DFG-funded Collaborative Research Centre (SFB) 884 “Political Economy of Reforms” (http://reforms.uni-mannheim.de) at the University of Mannheim. The topic of the PhD will focus on exploiting computational methods for analysing discourse phenomena like, e.g., uncertainty, vagueness and bias in political texts. This is a joint collaboration between the Natural Language Processing and Information Retrieval group (Prof. Simone Paolo Ponzetto) and the Chair of Artificial Intelligence (Prof. Heiner Stuckenschmidt), which will also involve close collaboration with project partners at the Department of Political Science (Prof. Dr. Nicole Rae Baerg, Prof. Dr. Thomas Gschwend), ranked as the best Political Science Department in Germany in different national and international university rankings. The student will be located at the Data and Web Science Group (DWS) of the University of Mannheim, one of leading centers for Data Science in Germany.

We are particularly interested in candidates with a background in one or several of the following areas:

  • statistical semantics and discourse processing
  • machine learning and natural language processing
  • discourse analysis
  • automated text-based scaling

Applicants should have a Masters degree (or obtain it in the near future) in Computer Science, Natural Language Processing, Machine Learning or Social Science and have previous experience in applying human language technology.

Duration: initially one year (starting in Fall 2015) with possible extension to 3-5 years. Salary range: according to German public scale TV-L 13 100% (full time, ranging between 3200,- and 4.600,- Euro before taxes depending on qualification).

Applications can be made per e-mail (sfb884@informatik.uni-mannheim.de) and should include a short research statement, CV, copy of university degrees and transcripts and - if available - a copy of the master thesis, as well as list of publications and published software. Further information about the groups can be found at http://dws.informatik.uni-mannheim.de/. All documents should be e-mailed as a single PDF. All applications sent before September, 15 2015 will receive full consideration. The positions remain open until filled.

The University of Mannheim is committed to increase the percentage of female scientists and encourages female applicants to apply. Among candidates of equal aptitude and qualifications, a person with disabilities will be given preference.

Please contact Simone Paolo Ponzetto (simone(At)informatik(DoT)uni-mannheim(DoT)de) and Heiner Stuckenschmidt (heiner(At)informatik(DoT)uni-mannheim(DoT)de) for informal enquiries.



Postdoctoral Fellow in NLP for EEG Analysis at Temple University

  • Employer: The Neural Engineering Data Consortium, College of Engineering, Temple University
  • Title: Postdoctoral Research Fellow
  • Topics: Natural Language Processing, Machine Learning, Big Data, EEG Analysis
  • Location: Philadelphia, PA
  • Deadline: Open until filled
  • Date Posted: August 12, 2015
  • Contact: Joseph Picone (joseph.picone@gmail.com)

Research focus: The Neural Engineering Data Consortium (NEDC) at Temple University invites applications for a Postdoctoral Fellow position in the area of automated EEG analysis. The Postdoctoral Fellow will contribute to a project that enables comparative research by automatically uncovering clinical knowledge from a vast BigData archive of clinical EEG signals and EEG reports collected over the past 14 years at Temple University Hospital (see www.isip.piconepress.com/projects/tuh_eeg for more information). We are developing a proof-of-concept based on the discovery of patient cohorts and provide an annotated BigData archive as well as the software that enabled the annotations and the generation of the patient cohort retrieval system. The candidate will be involved in overseeing the generation of labeled data for machine learning training, developing algorithms to automatically uncover and model structure based on deep learning principles, implementing an active learning approach that minimizes the amount of labeled data needed and supervising research to automatically extract medical concepts from EEG reports. A large portion of the project focuses in extraction of information from unstructured text, and hence, expertise in natural language processing is important.

Supervisor: Iyad Obeid, PhD and Joseph Picone, PhD

Required skills: The candidate’s primary expertise will be in natural language processing and/or computational linguistics. Proficiency in machine learning and big data techniques is highly desirable. Software engineering experience is also desired.

Education: A Ph.D. in computer science, computational linguistics, artificial intelligence or similar disciplines is required.

Length of appointment: This position is for three years.

Available: October 1, 2015.

Compensation: $42,000/year (NIH standard scale applies).

To apply: Send a CV and cover letter to joseph.picone@gmail.com (see http://www.isip.piconepress.com/images/memorabilia/temple/20150811_postdoc/postdoc_announcement_v00.pdf for more details)


Postdoctoral Fellow in Sentiment Analysis at McMaster University

  • Employer: Department of Linguistics, Department of Computing and Software, McMaster University
  • Title: Postdoctoral Research Fellow
  • Topics: Sentiment Analysis, Natural Language Processing
  • Location: Hamilton, ON, Canada
  • Deadline: Open until filled
  • Date Posted: July 24, 2015
  • Contact: Victor Kuperman (vickup@mcmaster.ca)

Research focus: Successful applicants will be working closely with a vibrant cross-faculty team of linguists, psychologists and computer scientists. The selected candidate will contribute to a research program that explores individual and group (gender, age) variability in perception and regulation of emotion. Primary responsibilities will include investigating new algorithmic techniques for identifying fine-grained sentiment on textual data, and semi-structured data, including social media. Equally important to the project is the development of lexical-semantic tools allowing big data analyses of text corpora for the purposes of text classification, topic modeling, development of semantic networks, and estimation of semantic similarity.

Supervisor: Victor Kuperman, PhD, Fei Chiang, PhD

Required skills: The candidate’s primary expertise will be in natural language processing, sentiment analysis, and/or computational linguistics. Proficiency in machine learning techniques is highly desirable.

Education: A Ph.D. in computer science, computational linguistics, artificial intelligence or similar disciplines is required.

Length of appointment: This position is for two years.

Available: August 1st, 2015.

Compensation: $50,000/year.

To apply: see application procedure at http://www.cas.mcmaster.ca/~fchiang/misc/postdoc.pdf


Postdoctoral Fellow in Natural Language Processing at Brigham and Women's Hospital / Harvard Medical School

  • Employer: Brigham and Women's Hospital / Harvard Medical School
  • Title: Postdoctoral Research Fellow
  • Topics: Natural Language Processing
  • Location: Boston, MA
  • Deadline: Open until filled
  • Date Posted: July 11, 2015
  • Contact: Alexander Turchin (aturchin@bwh.harvard.edu)

Research focus: the Fellow will work in a multi-disciplinary team of artificial intelligence scientists, informaticians, biostatisticians, and clinicians on projects involving development of open-source natural language processing framework software and high-dimensional predictive models that utilize a combination of artificial intelligence and natural language processing of multiple narrative document streams.

Supervisor: Alexander Turchin, MD, MS, FACMI

Required skills: strong programming and system development skills; ability to design and conduct effective research studies; strong analytical, scientific writing, presentation and communication skills. Experience in programming in Perl and .NET and experience with natural language processing and medical terminologies / ontologies is a strong plus.

Education: PhD in computer science, biomedical informatics, linguistics, or related discipline, MD or an equivalent degree.

Length of appointment: This position is for one year with second and third year reappointment dependent on satisfactory performance and availability of funding.

Available: August 1st, 2015.

Compensation: according to NIH (NRSA) stipend levels.

To apply: send cover letter and CV to Dr. Alexander Turchin at aturchin@bwh.harvard.edu.


Data Scientist - Unstructured Data at Civis Analytics

  • Employer: Civis Analytics
  • Title: Data Scientist - Unstructured Data
  • Topics: Natural Language Processing, Machine Learning, Deep Learning, Big Data Analytics, Computer Vision, Speech Processing, Algorithm Development
  • Location: Chicago, IL
  • Deadline: Open until filled
  • Date Posted: June 23, 2015
  • Apply Online: civisanalytics.com/careers
  • Questions: apply@civisanalytics.com


Who We Are

Civis Analytics is building a data-driven world. We create technologies that empower organizations to unlock the truth hiding in their own data—transforming them into smart organizations that are ready to thrive.

While our history is rooted in political campaign targeting, we’re now partnering with intelligent organizations in healthcare, media, education, and a range of other domains. We’re also building cloud-based products to do data science better.

We're solving the world's biggest problems with big data. Through research, experimentation, and iteration, we’re transforming how organizations do analytics. Our clients range in scale and focus from local to international, all empowered by our individual-level, data-driven approach.

Our incredible team of engineers, statisticians, researchers, and solution seekers come from all over the world with diverse backgrounds in Fortune 500 companies, international non-profits, Ivy League academia, and even actual rocket science.

Why should you join our team?

We are already hard at work on solving the world’s toughest problems with Big Data – working with organizations to analyze and understand their individual level data to improve outcomes and implement organizational change. We use cutting edge data science techniques, and we want to continue be on the forefront of innovation in our field.

We are smart, fun, and a little bit weird. Does this sound like you?

Position Overview

The Research and Development team is responsible for developing the fundamental data science methods, techniques, and best practices that power the mission of our company. Our diverse work includes predictive analytics, algorithm development, experimental design, visualization, and survey research.

As a Data Scientist on our Chicago-based Research and Development team, you will work closely and collaboratively with analysts and engineers to develop and operationalize the techniques that quantify and solve big, meaningful problems. Our team dives deeply into big problems and works in a variety of areas. With a specialization in unstructured data, this Data Scientist role will apply techniques from fields such as machine learning, applied statistics, natural language processing, computer vision, and speech processing to the growing unstructured datasets being collected at Civis. Because the majority of the world’s information is unstructured, being able to leverage these diverse and voluminous data sources adds tremendous value to Civis products and research. In this role, you will be a critical voice shaping both how unstructured data informs existing Civis products and services, and how it leads to the development of entirely new ways of serving our clients, novel to the industry as a whole.

We are looking for individuals from a diversity of backgrounds with demonstrated quantitative and problem-solving skills. We value creativity, hard work, and on-the-job-excellence and offer competitive compensation and benefits packages. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States.

Requirements

MINIMUM QUALIFICATIONS

  • Bachelor’s degree in a quantitative field, such as computer science, statistics, machine learning, or electrical engineering
  • Knowledge of and practical experience in applying the methodology of one or more unstructured data analysis fields, such as natural language processing, speech processing, or computer vision
  • Familiarity with statistical packages such as R, Stata, or in the Python scientific stack (NumPy, SciPy, scikit-learn, pandas)
  • Experience with common toolkits for unstructured data analysis, such as Theano, Torch, open-cv, the Stanford NLP tools, HTK, and Kaldi
  • Experience with SQL databases
  • Strong programming skills
  • Experience identifying and correcting for problems in imperfect data
  • An ability and eagerness to constantly learn and teach others

PREFERRED QUALIFICATIONS

  • Master’s degree in a quantitative field such as computer science, statistics, machine learning, or electrical engineering
  • Significant work experience in applying the methodology of one or more unstructured data analysis fields
  • High proficiency in programming with Python, Go, Java, Lua, C, or other languages used for high-performance statistical computing
  • Familiarity with architectures for scaling statistical computing to big data applications, such as Hadoop and Spark

How to Apply

Apply online at: civisanalytics.com/careers

Postdoctoral Fellow in NLP at University of Pennsylvania

  • Employer: Dept. of Computer and Information Science, University of Pennsylvania
  • Title: Postdoctoral Researcher
  • Topics: Natural Language Processing, Unsupervised Learning
  • Location: Philadelphia, PA
  • Deadline: Open until filled
  • Date Posted: June 19, 2015
  • Contact: Mitch Marcus (mitch@cis.upenn.edu)

Job Description

Applications are invited for a postdoctoral fellow research associate position in the Department of Computer and Information Science at the University of Pennsylvania. This is a full time position for 24 months, starting immediately.

The main aim of this project is to develop new unsupervised algorithms to extract several levels of linguistic structure including morphology, part of speech (POS) tags, and noun phrases from unannotated corpora. The project will exploit many different descriptive properties and constraints of language, all of which are close to universal in applicability. Such so-called universals have been developed across a wide range of often conflicting theoretical frameworks by both theoretical and descriptive linguists over many years, and we intend to shamelessly exploit them all.

The candidate will work under the supervision of Profs. Mitch Marcus and Lyle Ungar in Computer and Information Science and Prof. Charles Yang in Linguistics.

Requirements

The candidate should have a very strong background in Natural Language Processing and possess a PhD in either Computational Linguistics or Computer Science with a good publication record. Experience in machine learning, good programming skills, and a good knowledge of modern linguistics are required.

How to Apply

Please email your CV and the names and contact information of three or more references to Mitch Marcus at the email provided above.


Postdoctoral Fellow in Machine Learning/Computational Linguistics for Child Language Acquisition

Job Description

We are recruiting for post-doctoral fellow to work on the application of machine learning/computational linguistic techniques to child language acquisition.

You should have a PhD in Computer Science/Engineering/Linguistics/Psychology and have experience with machine learning algorithms applied to language data and have published your work in conference proceedings or journals. Experience with auditory speech processing, deep learning, cloud computing, and GPU programming is desirable. The post is available for 2 years.

The computational community has developed a wealth of algorithms that can automatically discover linguistic units and dependencies between these units and these algorithms have been applied to language parsing and generation. In contrast, child language researchers often study child language using human coding of detailed linguistic information. The goal of this project is to develop a bridge between these two approaches. Machine learning techniques would give child language researchers ways to pull out relevant utterances that could be subject to greater processing. Child language analyses could be compiled into test sets that could be used to evaluate machine learning algorithms. In this post, you will develop machine learning algorithms for child language and also develop a web site that will enhance the ability of machine learning researchers and child language researcher to share data and algorithms. The research topics and approaches are open to negotiation. Children have some of the most advance language learning algorithms and understanding how they learn language could lead to new insights for computational approaches to language.

This post offers the opportunity to join a thriving research group at the University of Liverpool and become a member of the new ESRC International Centre for Language and Communicative Development, a multi-million pound collaboration between the Universities of Liverpool, Manchester and Lancaster.

More information is available here: https://sites.google.com/site/sentenceproductionmodel/news

Postdoctoral Fellow and Software Engineer postions in biomedical natural language processing, machine learning and biomedical informatics

  • Employer: UMass Medical School Worcester
  • Title: Post-doctoral fellow or Software Engineer
  • Topics: Biomedical natural language processing, machine learning, bioinformatics, algorithm development, big data analytics
  • Deadline: until filled
  • Date Posted: 24 May 2015
  • apply by contacting elaine.freund@umassmed.edu

Job Description

We are recruiting for multiple positions at levels from Post Doctoral Fellow to Software Engineer to participate research and software development in biomedical natural language processing (NLP) and biomedical informatics. The group’s research (http://www.bio-nlp.org/index.php/projects) involves developing algorithms and tools for gathering, analyzing and interpreting heterogeneous data from multiple sources both clinically and research related. Recruits will lead development efforts in web service tools and search engines that: retrieve and summarize big data in biomedical domain, automatically extracting information from pdf files and extracting text from images, integrate novel biomedical text mining algorithms into the web tools and search engines to enable intelligent semantic search, and mining electronic health record data for pharmacovigilance.

If you are highly motivated and passionate about research in big data processing or software engineering or have in-depth knowledge and hands on implementation experience with web service tools and are interested in learning more about us, please contact elaine.freund@umassmed.edu with your resume or CV and a cover letter.

General Summary of Postdoc Fellow Position: PhD in Computer Science, computational linguistics or Biomedical Informatics with expertise in natural language processing, machine learning or information retrieval with excellent writing and communication skills and ability to work with the research team.

General Summary of Software Engineer Position: Under the direction of the Faculty or designee, the Software Engineer I assists with the design, development, implementation and integration of web service tools, search engines, utilities, applications and enhancements in a complex medical/academic research computing environment.

Research Scientist in natural language processing, machine learning, knowledge discovery, data analytics at IBM Research-Almaden

  • Employer: IBM Research
  • Title: Research Scientist
  • Topics: Nature language processing, information integration, entity resolution, machine learning, knowledge discovery, and data analytics
  • Location: San Jose, California, USA
  • Deadline: 1 June 2015
  • Date Posted: 6 May 2015
  • Online application: https://jobs3.netmedia1.com/cp/faces/job_summary?job_id=RES-0751127

Job Description

IBM Research - Almaden is looking for researchers to join the Natural Language Processing (NLP), Entity Resolution and Discovery (NERD) Department. Our research focuses include high-value content creation from variety of public and third-party data sources, scalable and usable analytics tools for individual stages in analyzing such data sources, such as text analytics, entity resolution, large-scale machine learning, techniques and methods for scalable and flexible indexing and querying support over enriched content, and consumable interfaces for accessing such data sources, including natural language interfaces. An example project is SystemT (http://ibm.co/1Cdm1Mj).

We are currently looking for a Research Staff Member to conduct research with large scale real-world heterogeneous data in the area of advanced analytics, such as nature language processing, information integration, entity resolution, machine learning, knowledge discovery, and data analytics. This role generates highly novel ideas, both theoretical and experimental, in a specific engineering or scientific discipline and invents and designs complex products and processes. This position may be involved in engineering these ideas to an advanced state of feasibility by evaluating ideas and plans and participating in their design and development. The full cycle of innovation to delivery is typically a multiple-year effort.

The candidate is also responsible for internally and externally disseminating the results of such activities through publications, patent disclosures, seminar participation, technical documentation, etc. The candidate represents IBM at professional conferences, in professional societies and universities and functions as an internal consultant in the areas of professional expertise.

Required

  • Master's Degree
  • At least 1 year experience in developing advances in Computer Science disciplines
  • At least 1 year experience in performing Scientific Research
  • English: Intermediate

Preferred

  • Doctorate Degree in Information Technology
  • At least 3 years experience in developing advances in Computer Science disciplines
  • At least 3 years experience in performing Scientific Research
  • English : Fluent

Additional Information

The World is Our Laboratory: No matter where discovery takes place, IBM researchers push the boundaries of science, technology and business to make the world work better. IBM Research is a global community of forward-thinkers working towards a common goal: progress.

IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.


PhD position in statistical language modelling

  • Employer: Cardiff University
  • Title: PhD scholarship
  • Topics: Statistical language modelling, relation extraction, social media
  • Location: Cardiff, UK
  • Deadline: 1 June 2015
  • Date Posted: 7 April 2015
  • Online application: http://courses.cardiff.ac.uk/funding/R2497.html

Job Description

Applications are invited for a PhD Scholarship at the Cardiff School of Computer Science & Informatics in the area of statistical language modelling. Specifically, the aim of the project will be to develop methods for modelling the meaning of natural language terms, based on data from social media and other web sources. For example, by analysing the tags associated with Flickr photos, the developed methods will be able to learn that a church is a kind of building, that churches tend to be larger than typical buildings and that chapels are similar to churches. The results of this project will be used to improve methods from artificial intelligence for commonsense reasoning, and will among others enable more intelligent web search engines.

Funding and eligibility

This studentship consists of full UK/EU tuition fees, as well as a Doctoral Stipend matching UK Research Council National Minimum (£14,057 p.a. for 2015/16, updated each year). This studentship is open to students of any nationality. Students classified as international for fee purposes have to self-fund the difference between home and international fees.

Candidates should:

  • either have (or expect to have by Autumn 2015) a good honours degree in a relevant discipline (minimum 2:1);
  • or have a masters degree with distinction in the research dissertation in a relevant discipline;
  • or have professional qualifications deemed by Cardiff University to be equivalent to the above;
  • or be over 25 and have relevant work experience in a position of responsibility.

The methods will rely heavily on methods from statistics and linear algebra, hence a strong background in mathematics will be required, in addition to excellent programming skills. A strong mathematical background and excellent programming skills will also be required.

Applicants are particularly welcomed from candidates with a background in computer science.

If your first language is not English you must provide evidence of competence in English. Our standard requirement is an overall IELTS result of at least 6.5, with a minimum of 6.5 in writing, and a minimum of 6.0 in speaking, listening and reading.

Further information

For further information and instructions on how to apply, please see http://courses.cardiff.ac.uk/funding/R2497.html

Postdoctoral Researcher in NLP at U.S. Army Research Lab

  • Employer: U.S. Army Research Lab, Adelphi Laboratory Center
  • Title: Postdoctoral Researcher
  • Topics: Natural Language Processing
  • Location: Adelphi, MD, USA
  • Deadline: Open until filled
  • Date Posted: March 17, 2015
  • Contact: Dr. Stephen Tratz (stephen.c.tratz.civ@mail.mil)

Job Description

The Multilingual Computing Branch (MLCB) at the U.S. Army Research Laboratory's Adelphi Laboratory Center, located in the Washington, D.C. metro area, is seeking to hire new post-doctoral fellows. MLCB has several ongoing efforts in computational linguistics/natural language processing, including active projects in machine translation, human-robot communication, and social media analysis. The branch is also pursuing new interdisciplinary initiatives to address the language processing challenges in cyber-security and video analytics.

Candidates should have substantial research experience in machine learning methods (e.g., deep neural networks) as applied to emerging areas involving computational linguistics. Areas of interest include: text/video analytics, computational social science, machine translation, domain adaptation, data selection, low-resource language processing, morphologically complex languages, knowledge representation and reasoning, spoken language interfaces and dialogue, and multimedia processing.

The lab encourages external collaboration and maintains multiple partnerships with universities and research institutions, which enable faculty and student exchanges as well as joint research and publishing (http://www.arl.army.mil/www/default.cfm?page=93). ARL’s new open campus initiative is attracting national and international partners from academia and industry to work with ARL scientists and engineers in areas of common research interest (see http://www.arl.army.mil/www/default.cfm?page=2357), and ARL researchers have begun releasing open source code via GitHub (see http://www.army.mil/article/141734/Army_cyber_defenders_open_source_code_in_new_GitHub_project/). ARL facilities include multiple high-end supercomputing clusters with over 10,000 cores and capable of at least 350 TFlops.

Requirements

  • Ph.D. or equivalent research experience in computer science, statistics, mathematics, or related field

How to Apply

If interested, please email your CV and the names and contact information of three or more references to Dr. Stephen Tratz at the email provided above.

Postdoctoral Researcher in NLG for Narrative

  • Employer: Liquid Narrative Group, North Carolina State University
  • Title: Postdoctoral Research Scholar
  • Topics: Natural Language Generation, Narrative Generation, Knowledge Representation, AI Planning
  • Location: Raleigh NC, USA
  • Deadline: Open Until Filled
  • Date Posted: March 10, 2015
  • Online Application: http://jobs.ncsu.edu/postings/40524

Job Description

The Liquid Narrative group at North Carolina State University is seeking a postdoctoral researcher to collaborate on a large-scale narrative generation project. The goal of this project is to build computational tools for the use of narrative in sense-making tasks. Research thrusts include the creation of formalisms for representing story and discourse knowledge and the development of narrative generation algorithms able to create multiple narrative discourses from a given story, adapt these discourses to an audience, and elicit different effects such as surprise or suspense. This project aims at creating a large-scale narrative-generation system that can extract story data from various sources (e.g., video game logs) and create narratives in and across several media such as text, animated movies or maps.

The postdoctoral researcher will contribute to the design and development of narrative generation and summarization technologies, focusing on the microplanning aspect of text generation. In particular, he or she will extend an existing narrative discourse generation prototype that outputs basic sentences using the SimpleNLG library. Our aim is to update this architecture by integrating an NLG system such as FUF/Surge, KPML or RealPro. To improve the quality of the generated text, the postdoctoral researcher will work on topics such as: aggregation, generation of referring expressions, discourse markers insertion, lexical choice and/or other aspects of realization that are specific to narrative as a genre.

He/she may also participate in research efforts on the automated generation of multimedia presentations involving text, video and maps. He/she is expected to collaborate in performing scientific evaluations of the systems, and in writing academic research papers.

Requirements

The applicant must hold a PhD degree, preferably in the area of computational linguistics or natural language generation. He/she should have:

  • Experience with developing NLG systems
  • Excellent software-design and problem-solving skills
  • Good programming skills
  • Excellent written and oral communication skills

Experience in the following areas would be a plus:

  • Automated discourse planning technologies
  • Dialogue generation

Position details

This is a full-time position. Expected start date is April 1, 2015 and the initial funding for the position runs through December 31, 2015. The position may be extendable depending on availability of funds.

Interested candidates should view the official Human Resources posting and submit applications through the NC State University HR web page at http://jobs.ncsu.edu/postings/40524

NC State University is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, gender identity, age, sexual orientation, genetic information, status as an individual with a disability, or status as a protected veteran. Individuals with disabilities requiring disability-related accommodations in the application and interview process, please call 919-515-3148.


PhD-level Researchers in Language Technology or Computational Linguistics

  • Employer: UKP Lab, Technische Universität Darmstadt (Germany)
  • Title: PhD-level Researchers in Language Technology or Computational Linguistics
  • Topics: Natural Language Processing, Summarization, Opinion Mining
  • Location: Darmstadt (Germany)
  • Deadline: open until the position is filled
  • Date Posted: March 4, 2015
  • Contact: Prof. Iryna Gurevych apply-for-aiphes(a-t)ukp.informatik.tu-darmstadt.de

Job Description

The newly established Research Training Group „Adaptive Information Processing of Heterogeneous Content“ (AIPHES) at the Technische Universität Darmstadt and at the Ruprecht-Karls-University Heidelberg is filling several positions for three years, starting as soon as possible:

PhD-level Researchers in Language Technology or Computational Linguistics

The positions provide the opportunity to obtain a doctoral degree with an emphasis within one of the following guiding themes:

  • A3: Opinion and Sentiment - extrapropositional aspects of discourse (Univ. of Heidelberg)
  • B1: Structured summaries of complex contents (TU Darmstadt)
  • B2: Content selection based on linked lexical resources (TU Darmstadt)
  • D1: Multi-level models of information quality in online scenarios (TU Darmstadt)
  • D2: Manual and Automatic Quality Assessment of Summaries from Heterogeneous Sources (TU Darmstadt)

The funding follows the guidelines of the DFG, and the positions are paid according to the E13 public service pay scale.

The goal of AIPHES is to conduct innovative research on multi-document summarization in a cross-disciplinary context. To that end, methods in computational linguistics, natural language processing, machine learning, network analysis, and automated quality assessment will be developed. AIPHES will investigate a novel summarization scenario for information preparation from heterogeneous sources. There will be close interaction with end users who prepare textual documents in an online editorial office, and who should therefore profit from the results of AIPHES. In-depth knowledge in one of the above areas is desirable but not a prerequisite.

Participating research groups at the Technische Universität Darmstadt are Knowledge Engineering (Prof. Fürnkranz), Ubiquitous Knowledge Processing (Prof. Gurevych, Dr. Eckle-Kohler), Algorithmics (Prof. Weihe), Language Technology (Prof. Biemann), Multimedia Communications (Dr. Rensing). Participants at the Ruprecht-Karls-University Heidelberg are the Institute for Computational Linguistics (Prof. Frank) and the Natural Language Processing Group (Prof. Strube) of Heidelberg Institute for Theoretical Studies (HITS). Cooperating partners are the Institute for Communication and Media of the University of Applied Sciences Darmstadt and other partners in the area of online media.

AIPHES will emphasize close contact between students and their advisors, have regular joint meetings, a co-supervision by professors and younger scientists in the research groups, and an intensive exchange as part of the research and qualification program. The training group has the goal of publishing its results at leading scientific conferences and will actively support its doctoral researchers in this endeavor. The software that will be developed in the course of AIPHES should be put under the open source Apache Software License 2.0 if possible. Moreover, the research papers and datasets should be published with open access models.

Requirements

We are looking for exceptionally qualified candidates with a degree in Computer Science, Computational Linguistics, or a related study program. We expect ability to work independently, personal commitment, team and communication abilities, as well as the willingness to cooperate in a multi-disciplinary team. Desirable is experience in scientific work. Applicants should be able to work with German-language texts, and, if necessary, to acquire German language skills during the training program. We specifically invite applications of women. Among those equally qualified, handicapped applicants will receive preferential consideration. International applications are particularly encouraged.

The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. Its unique research initiative "Knowledge Discovery in the Web” emphasizes natural language processing, text mining, machine learning, as well as scalable infrastructures for assessment and aggregation of knowledge. The Institute for Computational Linguistics (ICL) of the Ruprecht-Karls-University Heidelberg is one of the large centers for computational linguistics both in Germany and internationally. The ICL and the NLP department of the HITS jointly run the graduate program „Semantic Processing“ with an integrated research training group “Coherence in language processing: Semantics beyond the sentence”, which has a close connection to the topics in computational linguistics of AIPHES.

Applications should include

  • a motivational letter that refers to one of the above listed guiding themes,
  • a CV with information about the applicant’s scientific work,
  • certifications of study and work experience,
  • as well as a thesis or other publications in electronic form.

They should be submitted until March 23th, 2015 to the spokesperson of the research training group, Prof. Dr. Iryna Gurevych (Fachbereich Informatik, Hochschulstr. 10, 64289 Darmstadt) using the e-mail address apply-for-aiphes(a-t)ukp.informatik.tu-darmstadt.de. The interviews may start any time. The positions are open until filled.


Research staff position in Natural Language Processing

  • Employer: UKP Lab, Technische Universität Darmstadt (Germany)
  • Title: Research staff position in Natural Language Processing
  • Topics: Natural Language Processing, Question Answering
  • Location: Darmstadt (Germany)
  • Deadline: open until the position is filled
  • Date Posted: March 4, 2015
  • Contact: Nicolai Erbs erbs@ukp.informatik.tu-darmstadt.de

Job Description

The Ubiquitous Knowledge Processing Lab (UKP Lab) at the Department of Computer Science of the Technische Universität (TU) Darmstadt, Germany, has an opening for a research staff position (TV-TU E13 German payscale) with a focus on question answering and summarization of social media content. This DFG-funded basic research project conducts research integrating semantic text analysis, such as semantic role labeling (SRL), into higher-level applications in information access to improve their overall results (Principal Investigator: Prof. Dr. Iryna Gurevych). Thereby, we pay special attention to graph-based techniques.

The selected candidate will work with a large corpus from a social question-answer platform on the Web. He/she will be expected to identify interesting research problems, research ways of utilizing semantic role labeling in novel NLP tasks, and develop means and resources to evaluate the results. The newly established Research Training Group “Adaptive Information Processing of Heterogeneous Content” (AIPHES) funded by the DFG [3] provides an excellent research environment for this kind of work. The funding is available for the duration of at least two years with an option for extension.

Requirements

We ask for applications from applicants in Computer Science or Computational Linguistics, preferably with completed PhD and research publications. Experience in Question Answering or a related field like summarization or information retrieval is a definite advantage. Excellent graduates of these disciplines willing to work towards a PhD are also encouraged to apply. Ideally, the candidates should have strong research skills as well as demonstrable experience in designing and implementing complex natural language processing (NLP) applications in Java and/or with graph-based algorithms. A very good command of German is a definite plus, since the target corpus is in the German language. Excellent communication skills in English and the ability to work in a team are required.

Applications should include a CV, a motivation letter, an outline of research experience, as well as names and addresses of two referees. Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please send the application to: erbs@ukp.informatik.tu-darmstadt.de by 23.03.2015. The position is open until filled.


PhD-position in NLP/Text Mining

  • Employer: UKP Lab, Technische Universität Darmstadt (Germany)
  • Title: PhD-position in NLP/Text Mining
  • Natural Language Processing, Text Mining
  • Location: Darmstadt (Germany)
  • Deadline: open until the position is filled
  • Date Posted: March 4, 2015
  • Contact: Richard Eckart de Castilho (eckart (at) ukp (dot) informatik (dot) tu-darmstadt (dot) de)

Job Description

The Ubiquitous Knowledge Processing Lab (UKP Lab) at the Department of Computer Science of the Technische Universität (TU) Darmstadt, Germany, has an opening for a PhD student (TV-TU E13 German payscale) in a research project in Natural Language Processing (NLP) for a computer scientist or computational linguist. The project focusses on building an open text-mining infrastructure at the European level (Principal Investigator: Prof. Dr. Iryna Gurevych).

Thereby, major NLP and Text Mining platforms, including UIMA and GATE, should be made interoperable and applied to knowledge discovery in scientific literature, e.g. entity disambiguation and linking to a background knowledge repository. In the past, the UKP Lab has developed several frameworks such as the Darmstadt Knowledge Processing Repository (DKPro) and UBY. They form the foundation for the research and implementation work to be done. The graduate program Knowledge Discovery in Scientific Literature provides further research environment for the work to be carried out.

Requirements

Applicants in Computer Science or Computational Linguistics must have demonstrable experience in designing and implementing complex natural language processing (NLP) systems or NLP-based applications and the programming language Java as well as strong research skills. Excellent communication skills in English and the ability to work in a team are required. Experience in open-source software development is a plus.

The following academic qualification is necessary: completion of an M.A./M.Sc. in Computer Science, Computational Linguistics, or a related field.

Pending the successful completion of the ongoing administrative steps for the project, funding of this position is available from June 1st, 2015 for the duration of three years.

Applications should include a CV, a motivation letter, an outline of research experience, as well as names and addresses of two referees.

Interviews may start at any time and will continue until the position has been filled. Email address for inquiries and applications: eckart (at) ukp (dot) informatik (dot) tu-darmstadt (dot) de

The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. The UKP Lab is also home to the unique research initiative "Knowledge Discovery in the Web” which emphasizes natural language processing, text mining, machine learning, as well as scalable infrastructures for assessment and aggregation of knowledge.

The Technische Universität Darmstadt promotes gender equality and in particular encourages women to apply. Preference will be given to physically handicapped persons if they are equally qualified.


Internship position available in Natural Language Processing at Adobe Research

  • Employer: Adobe Systems Incorporated
  • Title: NLP Scientist Intern
  • Natural Language Processing, Machine Learning, Dialog Systems.
  • Location: San Jose, CA
  • Deadline: open until the position is filled
  • Date Posted: February 24, 2015
  • Trung Bui: bui@adobe.com

Description: We are looking for an NLP scientist intern who will work on exploring deep learning for mapping between natural language queries and logic form and/or SQL.

Key Qualifications

  • Experience with semantic parsing, dialog systems.
  • Experience with machine learning, deep learning.
  • Good programming skills in Java and/or Python

Education M.S. or PhD student in Computer Science or related field

Additional Requirements No.

Postdoc in Advanced Machine Learning (with an Emphasis on NLP)

Job Description

The Computer Science Department at the University of Notre Dame in collaboration with the Institute for Intelligent Systems at the University of Memphis anticipates hiring a postdoctoral fellow starting as early as April 1st 2015 for one year and renewable for a second year. The position includes a full time salary and benefits and is jointly funded by sponsored research split between the University of Notre Dame and the University of Memphis. Review of applications will start immediately and continue until the position is filled.

The successful candidate will conduct research in machine learning applied to dialog-centered natural language understanding. He/she will participate in the development and application of machine learning techniques in the hierarchical and temporal domains to multi-party speech data collected in authentic educational contexts.

The candidate will work under the supervision of Dr. Sidney D’Mello, who has joint appointments in the Departments of Computer Science and Psychology at Notre Dame, and Dr. Andrew Olney in the Institute for Intelligent Systems at the University of Memphis.

The position offers a unique postdoctoral training experience and unsurpassed publishing opportunities within a multi-department multi-institution grant-funded project. The postdoc will be encouraged to build advanced technical skills, strengthen their research portfolios via peer-reviewed publications, develop leadership skills by mentoring students, and gain expertise in authoring collaborative grant proposals.

Required

(1) Ph.D. in Computer Science, Artificial Intelligence, or a related field at the time of hire; (2) Research experience in advanced machine learning techniques for sequential and hierarchical domains (e.g., probabilistic graphical models, sequence tagging, deep learning) ; (3) Evidence of a strong publication record in the aforementioned areas

Desired

(1) Research experience in one or more of the following research areas (acoustic signal processing, automatic speech recognition, natural language understanding, discourse modeling) ; (2) Experience working on interdisciplinary projects and/or on educational research; (3) Experience mentoring graduate and undergraduate students

For more information see the application link above.

Software Engineer/NLG Specialist in Sydney, Aus - Natural Lanaguage Generation

Job Description

  • Unique opportunity within the Equities Research space for a Engineer with strong NLG experience
  • New Systems Implementation with Opportunity to push the envelope within Research
  • Permanent Opportunity – Sydney CBD Location

About the role

We are seeking a Software Engineer to join our Equities Research business team. This is a truly unique opportunity for someone to join Macquarie working on a pioneering project within the business which could be a big game changer. The role will utilise your strong NLG/NLP experience and you will be responsible for building and developing the NLG functionality within the team. If you are interested in gaining commercial experience with NLG, have excellent written communications and have a flair for English grammar, have a passion for finance and in particular Equities Trading and want the opportunity to really pioneer something, then this could be the position for you.

Key Responsibilities

  • Design and Develop our first NLG/NLP Application within Equities Research
  • Work closely with the vendor to understand the application limitations and functionality
  • Drive the development with the Head of Research as well as industry analysts
  • Mature the offering and look for further areas of development within the business

About You

To be successful in this role as a Software Engineer you will possess a University Degree in Computer Science/Mathematics and would have probably undertaken further studies of some sort (Masters/PhD) and have previous Natural Language Generation/Processing experience in either a commercial or research environment. You will have a passion and flair for the English Language as well as having a interest in financial services and in particular traded products. Previous OO Development experience would be highly regarded. In addition you will possess the following:

  • Tenacity to produce different If Statements and to develop the platform further
  • Strong interest in Artificial Intelligence/Machine Based Learning.
  • Keen interest in finance
  • Self Starter and strong attention to detail to really drive uptake of the platform

This is a unique opportunity within Macquarie and quite possibly a pioneering project within the Investment Banking space. We are looking to hire two developers into the team and are flexible across career levels from recent Grads to Senior Engineers. Here at Macquarie we truly believe in you owning your future, at Macquarie you’ll own it. Find out more at the new Careers website: macquarie.com/career

If you meet the above requirements, please apply via the following link. Alternatively to find out more about the position and a confidential discussion, please contact Andy Logan on 02 8237 8472 or andy.logan@macquarie.com

PostDoc Position in Heidelberg (NLP, Networks, Databases, Machine Learning)

  • Employer: Heidelberg Institute for Theoretical Studies gGmbH (HITS)
  • Title: PostDoc
  • Specialties: Natural Language Processing, Networks, Databases, Machine Learning
  • Location: Heidelberg, Germany
  • Deadline: 20 February 2015
  • Date posted: 29 January 2015
  • Contact information: michael.strube (at) h-its.org
  • Online application: https://application.h-its.org/intern/register.php?id=o51kdq1

Job Description PostDoc position available in the NLP group at the Heidelberg Institute for Theoretical Studies (HITS) in Heidelberg, Germany

One position is available for a PostDoc working in Natural Language Processing, in particular in the areas of Entity Linking, Cross-document Coreference Resolution, Coreference Resolution, Word Sense Disambiguation. The position is within a newly funded project on "Scalable Author Name Disambiguation in Bibliographic Databases". Project partners are DBLP (http://dblp.org/db/) and zbMATH (https://zbmath.org/), the two leading bibliographic databases in computer science and mathematics which will also supply the data to be disambiguated and the gold standard. The project will be funded for three years starting June 1st, 2015.

The candidate should have a strong background in Natural Language Processing and possess a PhD in either Computational Linguistics or Computer Science. Experience with machine learning, databases, parallel programming, big data and networks as well as strong programming skills are required.

HITS gGmbH is a private non-profit research institute carrying out multidisciplinary research in the computational sciences. It receives its base funding from the HITS Stiftung.

The NLP group (http://www.h-its.org/en/research/nlp/) at HITS is an interdisciplinary research group that works on applications in the area of discourse and dialogue, in particular coreference resolution, entity linking, automatic summarization, and knowledge extraction from semistructured input. The NLP group at HITS works closely together with the Computational Linguistics Department at the University of Heidelberg.

To apply, please enter your application via the following link: https://application.h-its.org/intern/register.php?id=o51kdq1 (reference Postdoc NLP HITS-01-2015)

Applications must be submitted by February 20, 2015. Please note that applications not submitted via the online system will not be considered. Inquiries about the position can be directed at Michael Strube (michael.strube (at) h-its.org).


Postdoc position in Cardiff (NLP, IR, machine learning)

  • Employer: Cardiff University
  • Title: Postdoc
  • Specialties: Natural language processing, information retrieval, machine learning, distributional models, relation extraction, commonsense resoning
  • Location: Cardiff, UK
  • Deadline: 3 February 2015
  • Date posted: 9 January 2015
  • Contact information: SchockaertS1@cardiff.ac.uk

Job Description

Applications are invited for a postdoctoral research associate post in the School of Computer Science & Informatics at Cardiff University. This is a full-time, fixed-term post for 30 months, starting on 1 May 2015 or as soon as possible thereafter.

The main aim of this project is to learn fine-grained semantic relations from large text corpora. Initially such relations will be obtained in an unsupervised way, by identifying semantic relations with spatial relations between vector-space representations. Subsequently, open-domain, supervised relation extraction methods will be developed which use the output of the unsupervised methods as training data. This research will be part of an ERC funded project on the use of semantic relations between natural language terms in logics for commonsense reasoning. You will work closely with Dr Steven Schockaert. You will possess a PhD in Computer Science or a closely related area, or have equivalent experience.

Essential criteria

  • Proven ability to undertake research in a relevant research area (e.g. natural language processing, information retrieval, machine learning) at an international level, as evidenced by research output.
  • Excellent programming skills (java or C/C++).
  • A demonstrable history of contributing to excellent publications in relevant top-tier conferences (e.g. ACL, EMNLP, SIGIR, CIKM, IJCAI, AAAI, ICML) and journals (e.g. Artificial Intelligence, Journal of Artificial Intelligence Research, ACM Trans. Information Systems, IEEE Trans. Knowledge and Data Engineering).
  • Proven ability to communicate specialist ideas clearly in English using written media.
  • Excellent organisational skills with a proven ability to work independently and be self-managing, to prioritise your work and meet deadlines within the framework of an agreed programme.
  • A PhD in Computer Science or closely related area, or equivalent experience.

Desirable criteria

  • Knowledge of statistical natural language processing.
  • Knowledge of unsupervised and semi-supervised learning.
  • Knowledge of relation extraction.
  • Experience with analysing large text corpora using a high-performance computing environment.
  • Experience with dimensionality reduction methods such as multi-dimensional scaling, singular-value decomposition, and non-negative matrix factorisation.

More information For more details about the project and instructions on how to apply, please go to www.cardiff.ac.uk/jobs and search for job 2972BR.

Post‐Doctoral and all levels of Research Scientist at the Allen Institute for Artificial Intelligence

  • Employer: Allen Institute for Artificial Intelligence (AI2)
  • Title: Post-doc/Research Scientist
  • Specialties (one or more): Natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, question answering and explanation
  • Location: Seattle, WA
  • Deadline: N/A, we are hiring throughout 2015
  • Date posted: 12/9/2014
  • Contact information: ai2-info@allenai.org, allenai.org

Job Description

The Allen Institute for Artificial Intelligence (AI2) is a non-profit research institute in Seattle founded by Paul Allen and headed by Professor Oren Etzioni. The core mission of (AI2) is to contribute to humanity through high-impact AI research and engineering. We are actively seeking Post Docs and Research Scientists at all levels who are passionate about AI and who can help us achieve this core mission by teaming to construct AI systems with reasoning, learning and reading capabilities.

Position Summary

AI2 currently has projects in the following areas:

  • Language and Vision
  • Information extraction and semantic parsing
  • Question answering
  • Language and reasoning
  • Machine learning and theory formation
  • Semantic search
  • Diagram understanding

AI2 Research Scientists will have a primary focus in one of these specific areas but will also have the opportunity to contribute and engage in a variety of other areas critical to our research and mission. These include opportunities to participate in or lead select R&D projects, work with management to develop the long term vision for knowledge systems R&D, take a leading role in overseeing and implementing software systems supporting the research, author and present scientific papers and presentations for peer-reviewed journals and conferences, and help develop collaborative and strategic relationships with relevant academic, industrial, government, and standards organizations.

Applicant

Applicants for Research Scientist at AI2 should have a strong foundation (typically PhD level) in one or more of the following areas: natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, or question answering and explanation. We look favorably upon extensive work experience demonstrating application of your research.

Application Process

All candidates are required to submit a resume, an expression of interest, and the names and contact information of at least 2 references (including email addresses) through our website: http://allenai.github.io/ai2website/jobs.html. We particularly welcome applications from women, people of color, members of the LGBT communities, and people with disabilities. Visa sponsorship is available.


Multiple Tenure-Track Positions (w/focus in Data Analytics) at The Ohio State University Department of Computer Science and Engineering

  • Employer: The Ohio State University
  • Title: Assistant/Associate/Full Professor
  • Specialty: open, two positions in Data Analytics
  • Location: Columbus, OH, USA
  • Deadline: January 31, 2015 (Consideration starts November 2014)
  • Date Posted: November 17, 2014
  • Website: https://web.cse.ohio-state.edu/cgi-bin/portal/fsearch/apply.cgi

The Computer Science and Engineering Department at the Ohio State University expects to fill multiple tenure-track positions and seeks applicants in all areas of computer science.

Particular emphasis will be placed on filling two open rank positions in conjunction with a broad university-wide research initiative on Data Analytics (https://discovery.osu.edu/focus-areas/data-analytics/collaborative.html), and a recently announced undergraduate program in Data Analytics (https://data-analytics.osu.edu). Areas of interest for these positions include (but are not limited to): data mining, big data management, cloud computing systems, data analytics; application of machine learning or data mining or data visualization to problems in network science (including social networks), health, and climate science.

The department is committed to enhancing faculty diversity; women, minorities, and individuals with disabilities are especially encouraged to apply.

Applicants should hold or be completing a Ph.D. in CSE or a closely related field, have a commitment to and demonstrated record of excellence in research, and a commitment to excellence in teaching.

To apply, please submit your application via the online database. The link can be found at: https://web.cse.ohio-state.edu/cgi-bin/portal/fsearch/apply.cgi.

Review of applications will begin in November 2014 and will continue until the positions are filled.

The Ohio State University is an Equal Opportunity/Affirmative Action Employer.

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