Difference between revisions of "Employment opportunities, postdoctoral positions, summer jobs"

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* '''[[Instructions for Posting Job Ads]]'''
 
* '''[[Instructions for Posting Job Ads]]'''
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* See also the [http://linguistlist.org/jobs/index.html Linguist Job List].
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* See also the [http://linguistlist.org/jobs Linguist Job List].
 
* Archived postings:
 
* Archived postings:
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** [[Employment opportunities posted 2013|2013]] - [[Employment opportunities posted 2012|2012]] - [[Employment opportunities posted 2011|2011]] - [[Employment opportunities posted 2010|2010]] - [[Employment opportunities posted 2009|2009]] - [[Employment opportunities posted 2008|2008]] - [[Employment opportunities posted 2007|2007]]
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** [[Employment opportunities posted 2015|2015]] - [[Employment opportunities posted 2014|2014]] - [[Employment opportunities posted 2013|2013]] - [[Employment opportunities posted 2012|2012]] - [[Employment opportunities posted 2011|2011]] - [[Employment opportunities posted 2010|2010]] - [[Employment opportunities posted 2009|2009]] - [[Employment opportunities posted 2008|2008]] - [[Employment opportunities posted 2007|2007]]
 
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== Post-doc in Machine Learning, Computer Vision, Language Processing applied to Sign Language Analysis / TTI-Chicago / Chicago, IL ==
+
==Research Scientist at the Allen Institute for Artificial Intelligence==
−
 
 
−
* Employer: Toyota Technological Institute at Chicago
 
−
* Title: Post-doctoral scholar
 
−
* Specialty: Machine learning, NLP, computer vision, speech
 
−
* Location: Chicago, IL, United States, 60637
 
−
* Deadline: Until filled
 
−
* Date Posted: May 12, 2014
 
  
 +
* Employer: Allen Institute for Artificial Intelligence (AI2)
 +
* Title: 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 2016
 +
* Date posted: 02/09/2016
 +
* Contact information: ai2-info@allenai.org
 +
* Website: http://allenai.org/jobs.html
  
 
'''Job Description'''
 
'''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 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.
  
−
Applications are sought for a post-doctoral position as part of a project on automatic sign language analysis and recognition. The post-doc will work primarily with TTI-Chicago (TTIC) faculty Greg Shakhnarovich and Karen Livescu. The work is part of a broad interdisciplinary project including both recognition and linguistics of American Sign Language (ASL), in collaboration with U. Chicago linguistics faculty Diane Brentari and Jason Riggle. The post-doc will also have opportunities to collaborate with other TTIC and the University of Chicago researchers as relevant, and should be able to interact with colleagues in a broad range of disciplines.
+
'''Position Summary'''
  
 +
AI2 currently has projects in the following areas:
  
−
The post-doc will be based at TTI-Chicago, a computer science graduate institute located on the University of Chicago campus, with vibrant research groups in machine learning, computer vision, and speech and language processing. The position is for 2 years, contingent on annual reappointment.
+
* Language and Vision
 +
* Information extraction and semantic parsing
 +
* Question answering
 +
* Language and reasoning
 +
* Machine learning and theory formation
 +
* Semantic search
 +
* Natural language processing
 +
* Diagram understanding
 +
* Visual knowledge extraction and visual reasoning
  
 +
And more…. 
  
−
The target start date is Fall 2014, with some flexibility. Compensation includes a competitive salary and benefits plan.  The position will remain open until filled.
+
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 AI2’s 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'''
  
−
'''Responsibilities'''
+
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, computer vision and machine learning, or question answering and explanation.  We look favorably upon extensive work experience and publishing demonstrating application of your research.
  
−
The goal of the work is to advance automatic recognition and analysis of American Sign Language (ASL), in part through development of core methods for learning and vision. The specific focus of the post-doc's research will be determined by mutual agreement based on the post-doc's background and interests, and may include any of: new graphical models and learning techniques; articulated hand pose tracking and estimation constrained by the grammar of sign; domain adaptation/normalization for different subjects and signing styles; techniques inspired by speech recognition and NLP; and work with new data sources beyond video, including depth sensors (e.g. Kinect) and motion capture. Prior knowledge of and interest in ASL is preferred.
+
'''Why AI2'''
  
 +
In addition to AI2’s core mission of being a leader in the field of AI research, we also aim to create a superb team environment and to invest in each team member’s personal development. Some highlights are:
  
−
Advising and teaching opportunities are likely to be available if desired, but this is not a requirement of the position.
+
* We are a learning organization – because everything AI2 does is ground-breaking, we are learning every day. Similarly, through weekly AI2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, AI2 is a place where you will have opportunities to continue learning right alongside us;
 +
* We value diversity of thought – we seek Research Scientists who can bring novel experiences and modes of problem solving to our leading-edge mission. If you are creative and efficient in your approach and insightful in your questioning, AI2 could be a great environment for you;
 +
* We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave;
 +
* We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures;
 +
* We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, we have the defending Super Bowl champions, and we have so much else. We even have kayaks for you to paddle right outside our front door;
 +
* We are friendly – chances are you will like every one of the 30+ (and growing!) people who work here. We do!
  
 +
'''Application Process'''
  
−
'''Qualifications'''
+
Visit our website for more information: http://allenai.org/jobs.html
  
−
Applicants are expected to have strong qualifications in machine learning or related fields, and ideally also computer vision and/or speech and language processing. Applicants should have a PhD or expected PhD (by the end of 2014) in computer science, electrical engineering, statistics, or a related field.  There are no citizenship requirements.
 
  
 +
==Software Engineer  - Machine Learning / NLP (Chinese) at SYSTRAN==
  
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'''How to Apply'''
+
* Employer: SYSTRAN
 +
* Title: Software Engineer
 +
* Topics: Machine Learning, Natural Language Processing, Machine Translation
 +
* Location: San Diego
 +
* Deadline: Open until filled
 +
* Date Posted: January 29, 2016
 +
* Contact: Apply directly at https://recruit.systrangroup.com/recruit/Portal.na
  
−
Please direct questions and interest in the position to ASL-postdoc@ttic.edu. Complete applications should be sent to the same address and consist of:
+
SYSTRAN is currently seeking an experienced Software Engineer specializing in Machine Learning / NLP to join our R&D team in San Diego to develop machine translation systems.
  
−
* brief cover letter, describing your interest in and qualifications for the position
+
The ideal candidate must have a combination of research and implementation skills, including significant programming experience. Hands-on experience with machine learning, including deep neural network, text classification, statistical techniques for NLP or a related field, is highly desirable.
−
* curriculum vitae including publication list
 
−
* contact information for two or more researchers who can provide letters of reference
 
  
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Please see http://ttic.edu/livescu/ASL-postdoc.html for more information.
+
Responsibilities include software development, experimentation, analysis of results, and building systems that combine linguistics and statistical language models for machine translation centering on Chinese language.
  
−
== Postdoctoral Fellow / INRIA / Saclay ==
+
'''Key Qualifications'''
−
* Employer: Institut National de Recherche dans l'informatique et l'Automatisme (INRIA)
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* Knowledge of natural language processing field, including but not limited to, formal grammar, syntactic parsing and morphology
−
* Title: PostDoc (12 months)
+
* Good algorithmic knowledge of machine learning
−
* Specialty: Natural Language Processing
+
* Experience writing and debugging software
−
* Location: Palaiseau, Ile-de-France, France
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* Strong communications skills
−
* Deadline: June 30, 2014
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* Ability to work well as part of a team
−
* Date Posted: May 6, 2014
+
* Fluent in English.
 +
* Fluent in Chinese is a plus
  
 +
'''Education and Experience'''
 +
* MS or Ph D  in Computational Linguistics / Computer Science or relevant field.
 +
* 2+ years work experience preferred
  
−
'''Job Description'''
+
'''Benefits'''
 +
* Successful candidates will be offered a competitive salary based on their qualifications and experience.
  
−
The principal mission of the postdoctoral candidate is to find new ways of inducing taxonomies and semantic dimensions from user generated and user captured personal data, integrating textual, quantified, geolocalized, image, sound and video data. The postdoc will also assist the TRACES team in developing algorithms and technology for creating a platform for private, personal information management.
 
  
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'''Duties'''
+
==Vacancy for Lecturer/Senior Lecturer/Reader at University of Dundee==
  
−
Reporting to the Dr. Gregory Grefenstette, your
+
* Employer: University of Dundee
−
typical duties will include the following:  
+
* Title: Lecturer/Senior Lecturer/Reader
 +
* Topics: Computational Linguistics, Language, Argumentation, Artificial Intelligence
 +
* Location: Dundee, UK
 +
* Deadline: 27 February 2016
 +
* Date Posted: 12 January 2016
 +
* Contact: Prof. Chris Reed (see http://arg.tech/lecturer)
  
−
* Implement recent taxonomy/ontology induction algorithms, adapting them to the problem of personal information, applying them to personal data contributed by TRACES team members, evaluating results, and present their results in an international conference or workshop;
+
£34,576 to £55,389 Full Time, Permanent
−
* Aid TRACES members in the construction of a private personal information platform based on open source information retrieval systems (Lucene/SolR);
 
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* Discover and adapt existing open data taxonomies to the platform;
 
−
* Study how GPS information and other quantified personal data can be integrated into and augment the personal semantic structures induced from textual sources
 
  
 +
The University of Dundee’s School of Science & Engineering is advertising several permanent posts including one covering the Centre for Argument Technology. We are particularly keen to receive applications from candidates in Computational Linguistics to expand the group’s research in Argument Mining (see http://argmining2016.arg.tech and http://arg.tech/am), but welcome applications in all areas of the overlap between argumentation and artificial intelligence. A strong publication profile is essential, and for more senior appointments, so is a track record of funding success.
  
−
'''Required Qualifications'''
+
For further information about the Centre for Argument Technology, please see http://arg.tech or contact Prof. Chris Reed; for more information about the position, see http://arg.tech/lecturer. General details follow.
  
−
The candidate must possess a recent PhD degree (granted 2013 or 2014) in computer
+
'''Summary of Job Purpose and Principal Duties'''
−
science, computational linguistics or a related discipline.
 
−
* Experience with natural language processing (e.g., Stanford Parser)
 
−
* Experience with ontologies/taxonomies (e.g., MeSH, FreeBase)
 
−
* Experience with classification algorithms
 
−
* Familiarity with dealing with large, noisy data sets
 
−
* Experience with web crawler, information retrieval systems (e.g., Lucene/Solr/ElasticSearch)
 
−
* Desire to produce functioning end-to-end systems, life-scale live demos
 
−
* Scientific rigour
 
−
* Imagination
 
  
−
'''How to Apply'''
+
The University of Dundee is seeking an exceptional candidate to join one of our Computing research groups, based within the School of Science and Engineering. The successful candidate will develop new research lines within either the (i) Human Centred Computing Group; (ii) the Centre for Argument Technology; or (iii) the Space Technology Centre. Full information on the current research in each
 +
group can be found in the Further Particulars.
  
−
Follow the instructions on the page: http://www.inria.fr/en/institute/recruitment/offers/post-doctoral-research-fellowships/post-doctoral-research-fellowships/campaign-2014/(view)/details.html?ContractType=4546&LG=EN&nPostingID=8473&nPostingTargetID=14242
+
The successful candidate is expected to have a strong track record of research and a clear research plan that articulates with (or expands significantly) one of these areas. They will be expected to contribute to the development of research in this area by publishing in the highest quality journals and attracting appropriate research funding. For appointments at Grade 8 and 9, candidates are expected to show evidence of having attracted independent funding. The School encourages applications from holders of personal
 +
Fellowships.
  
−
Security and Defense procedure: In the interests of protecting its scientific and technological assets, Inria is a restricted-access establishment. Consequently, it observes special regulations for welcoming foreign visitors from outside of the Schengen area. The final acceptance of each candidate thus depends on applying this security and defense procedure.
+
Additionally, the successful candidate will be expected to take an active role in the teaching of undergraduate computing programmes as well as supporting teaching at Masters level.
  
−
'''About Us'''
+
'''Job Summary'''
  
−
Public science and technology institution established in 1967, Inria is is the only public research body fully dedicated to computational sciences. Combining computer sciences with mathematics, Inria's 3,400 researchers strive to invent the digital technologies of the future. Educated at leading international universities, they creatively integrate basic research with applied research and dedicate themselves to solving real problems, collaborating with the main players in public and private research in France and abroad and transferring the fruits of their work to innovative companies. The researchers at Inria published over 4,800 articles in 2010. They are behind over 270 active patents and 105 start-ups. In 2010, Inria's budget came to 252.5 million euros, 26% of which represented its own resources..
+
The appointee will be expected to contribute to research in Computing and to teaching and administration within the School of Science and Engineering. They will be expected to:
  
−
For more information, please visit http://www.inria.fr/en/institute/recruitment/offers/post-doctoral-research-fellowships/post-doctoral-research-fellowships/campaign-2014
+
* Contribute to the ongoing research in one of the three research groups described above.
 +
* Contribute to the generation of external research funding.
 +
* Publish in high quality research journals and major international conferences.
 +
* Teach at undergraduate and post-graduate level.
 +
* Supervise students at all levels (honours and MSc projects, PhD).
 +
* Undertake administrative duties.
  
−
== Postdoctoral Fellow / Bioinformatics Technology Lab / Genome Sciences Centre ==
+
'''Application Requirements'''
−
* Employer: University of British Columbia and BC Cancer Agency
 
−
* Title: PostDoc
 
−
* Specialty: Natural Language Processing, Machine Learning
 
−
* Location: Vancouver, British Columbia, Canada
 
−
* Deadline: Until filled
 
−
* Date Posted: March 26, 2014
 
  
−
'''Job Description'''
+
In addition to the online form, applicants must include with their application:
  
−
The Genome Sciences Centre is seeking a Postdoctoral Fellow for the Bioinformatics
+
* Cover letter outlining fit to role.
−
Technology Lab to conduct scientific research in the areas of bioinformatics and
+
* Research plan (1-2 pages) covering proposed research over the first three years of the appointment.
−
genomics, specifically related to automated analysis and annotation of cancer
+
* Teaching plan (1-2 pages) outlining fit to current teaching at Dundee and teaching methodology.
−
research literature.  
 
  
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The successful applicant will work with trainees and research scientists in a team
 
−
that develops tools for a clinical genomics pipeline based on primary sequence
 
−
analysis, to build natural language processing and machine learning tools that
 
−
interpret identified mutations for their biological significance as they relate
 
−
to reports in the relevant literature.
 
  
−
'''Duties'''
+
==Postdoctoral Fellow in Computational Models of Reasoning / Intelligence Systems Section at AI Center / US Naval Research Laboratory==
−
 
+
* Employer: US Naval Research Laboratory
−
Reporting to the Head of Bioinformatics Technology Lab, Dr. Inanc Birol, your
+
* Title: Postdoctoral Research Fellow
−
typical duties will include the following:  
+
* Topics: Reasoning, Computational Modeling, Language, Artificial Intelligence
−
 
+
* Location: Washington, DC
−
* Building natural language processing and machine learning tools for automated literature survey
+
* Deadline: Open until filled
−
* Analysis and annotation of data from genomics studies as they relate to the literature
+
* Date Posted: January 20, 2016
−
* Collaborating with biologists and clinical researchers on the accuracy of the results
+
* Contact: Sunny Khemlani (sunny.khemlani@nrl.navy.mil)
−
* Reporting research methods and results in meetings, seminars and conferences
 
−
* Contribution to and leading scientific publications and research proposals
 
−
 
 
−
'''Required Qualifications'''
 
  
−
The ideal candidate should possess a PhD degree and recent proven experience in computer
+
'''Research focus''': The Postdoctoral Fellow will collaborate on various projects in reasoning, including (but not limited to) building a unified computational framework of reasoning; investigating how people engage in explanatory reasoning; and testing a system that reasons about time and temporal relations.
−
science, electrical engineering or a related discipline. A strong publication record in  
 
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the field, and demonstrated technical writing skills are highly desirable. Prior research
 
−
experience in bioinformatics is also desirable, but not required.
 
  
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More experienced candidates will be considered for a Staff Scientist position, pending
+
'''Supervisor''': Sunny Khemlani, PhD
−
successful funding.
 
  
−
'''How to Apply'''
+
'''Key qualifications''':  A Ph.D. in cognitive psychology, cognitive science, or computer science, with experience in higher level cognition, experimental design and data analysis, or cognitive modeling. Experience with theories of reasoning, computer programming, and cognitive modeling is a strong plus.
  
−
Please send your resume with cover letter to bcgscjobs@bcgsc.ca
+
'''Length of appointment''': This position is for one year with second and third year reappointment dependent on satisfactory performance.
−
We request that you specify the position you are applying for by identifying the Job Code
 
−
only ("PDFBTL 14-03-27") in the subject line of your emailed application.  
 
  
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All qualified candidates are encouraged to apply; however, Canadian citizens and permanent
+
'''Program and compensation''': The Fellowship operates through the NRC Research Associateship Program (http://sites.nationalacademies.org/pga/rap/). Only US citizenship or green card holders are eligible for the program. Fellows are compensated through a research stipend of ~$75,000/year.
−
residents will be given priority.  
 
  
−
'''About Us'''
+
'''To apply''': Send a cover letter and CV to Dr. Sunny Khemlani at sunny.khemlani@nrl.navy.mil.
  
−
Genome Sciences Centre is a leading international institution for genomics and bioinformatics
 
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research. Our mandate is to advance knowledge about cancer and other diseases, to improve human
 
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health through disease prevention, diagnosis and therapeutic approaches, and to realize the
 
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social and economic benefits of genomics research.
 
  
−
For more information, please visit www.bcgsc.ca
+
==Internship positions available at Juji, Inc.==
 +
* Employer: Juji, Inc.
 +
* Title: Intern
 +
* Location: Saratoga, CA
 +
* Deadline: open until all the positions are filled
 +
* Date Posted: January 14, 2016
  
−
== PostDoc / NLP, Machine Learning, Medical Informatics / Worcester MA ==
+
'''Description''':
−
* Employer: University of Massachusetts Medical School
+
Have you ever watched the movie Her? Have you ever wondered or wished to have a virtual partner just like Samantha, who could tell you what you really are, whom your best partner may be, and even cheers you up? At Juji, we are building a hyper-personalized, virtual REP (Responsible, Empathetic Pal) for everyone. Your REP not only understands who you are, including your personality, motivations, and strengths, but it can also chat with you to learn and help fulfill your certain needs. 
−
* Title: PostDoc
 
−
* Specialty: Natural Language Processing, Machine Learning
 
−
* Location: Worcester, Massachusetts, United States, 01605
 
−
* Deadline: Until filled
 
−
* Date Posted: March 26, 2014
 
  
 +
We are seeking highly motivated and talented students, who are eager to help us tackle great technical challenges at Juji and to expand their knowledge and skills in the real world. We are especially interested in students who have had worked or love to work in the following areas: Artificial Intelligence, Natural Language Processing/Natural Language Generation, Machine Learning, Human-Computer Interaction, Information Visualization/Visual Analytics, and Cognitive Science.
  
−
'''Job Description'''
+
We have multiple positions on two main tracks:
  
−
We are seeking 1~2 highly motivated postdoctoral research associate to
+
* Software development. If you love to create amazing software technologies and systems for real users, this is the track for you. You are expected to own and deliver a relatively independent project that will contribute to our cutting-edge product development effort.
−
join the Biomedical Natural Language Processing (BioNLP) group at
 
−
UMass Medical School and UMass Amherst. This position will primarily
 
−
be located at the UMass Medical School in Worcester, MA. The BioNLP
 
−
group is actively pursuing many exciting projects including:
 
−
information retrieval, information extraction, summarization, question
 
−
answering, data mining, and patient-centered research. A highly
 
−
productive candidate may transition to a faculty position.
 
−
 
 
−
 
 
−
'''Responsibilities'''
 
−
 
 
−
The successful candidates will help investigate new algorithms to
 
−
support our current research thrusts. This will require extensive
 
−
experience with data mining (DM) and natural language processing (NLP).
 
  
 +
* Scientific research. If you love to design and conduct scientific experiments to answer a specific set of research questions, this is the track for you. You will work on a government funded research project on understanding human trust in a digital environment. You are expected to play a critical role in designing and conducting novel research studies and writing papers that lead to scientific publications.
  
 
'''Qualifications'''
 
'''Qualifications'''
 +
Outstanding current students towards a bachelor or higher degree in the area of Computer Science, Computer Engineering, or equivalent disciplines are encouraged to apply. Strong software development or visual design skills are a plus.
  
−
Candidates for this position should have a PhD in Computer Science or
+
'''To apply''': Please email a copy of your resume to the following address: jobs@juji-inc.com with a subject line “Summer Internship 2016”, and state your track preference in your email body.
−
related field and a significant research record including
+
−
publications in top conferences and journals in:
 
  
−
* Natural Language Processing
 
−
* Machine Learning
 
−
* Data Mining or Data Analysis
 
  
−
Proficiency in quantitative analytical methods and strong programming
+
==Postdoctoral Fellow in Natural Language Processing / AI at Brigham and Women's Hospital / Harvard Medical School==
−
skills (e.g., python, matlab, java, C/C++, weka, etc.), along with
+
* Employer: Brigham and Women's Hospital / Harvard Medical School
−
extensive research experience in hands-on machine learning (ML) and
+
* Title: Postdoctoral Research Fellow
−
data mining (DM), is essential. Additional experience in
+
* Topics: Natural Language Processing, Artificial Intelligence, Predictive Modeling
−
bioinformatics or figure search and analysis is desirable.
+
* Location: Boston, MA
−
 
+
* Deadline: Open until filled
−
Successful applicants will join a vibrant collaborative research
+
* Date Posted: January 8, 2016
−
environment, will work closely with clinical investigators and senior
+
* Contact: Alexander Turchin (aturchin@bwh.harvard.edu)
−
personnel in the lab, and should have the ability to work effectively
 
−
both independently and as part of a multidisciplinary team. The
 
−
position will be for one year, renewable annually, starting Summer or Fall 2014.
 
−
 
 
−
 
 
−
'''How to Apply'''
 
−
 
 
−
Please apply by email to Prof. Hong Yu <hong.yu@umassmed.edu> and
 
−
include a brief letter of introduction, a CV including list of
 
−
publications in PDF format, and names and email addresses of 2-3 referees.
 
−
 
 
−
 
 
−
'''Background'''
 
−
 
 
−
Please see http://www.bio-nlp.org/postdoc-ad-2014.txt for more information.
 
−
 
 
−
Competitive Salary based on experience.
 
−
 
 
−
== Knowledge Engineer / Bosch Research & Technology Center / Palo Alto, California ==
 
−
 
 
−
* Employer: Bosch Research & Technology Center
 
−
* Title: Knowledge Engineer (PhD)
 
−
* Specialty: Natural Language Processing
 
−
* Location: Palo Alto, California, United States, 94304
 
−
* Deadline: Until filled
 
−
* Date Posted: March 16, 2014
 
−
 
 
−
'''Job Description:'''
 
−
 
 
−
The Bosch Language Services group in Palo Alto, CA is a newly created organization intended to develop products with natural language technologies and systems, and provide services for Bosch Group. It is a fast growing team addressing the needs within and outside of the large Bosch organization. We work closely with internal partners, including corporate research and other business units, to create a new set of products and services for Bosch, based on our leading technologies in the field.
 
−
 
 
−
To strengthen our team, we are seeking enthusiastic and creative engineer in knowledge engineering and language processing to develop world class Bosch products.
 
−
 
 
−
'''Responsibilities:'''
 
−
 
 
−
* Develop the next-generation software products in the areas of user interaction technologies and systems
 
−
* Develop scalable and reliable solutions of such systems for 24/7 use
 
−
* Develop knowledge engineering technologies and tools for different Bosch application fields
 
−
* Manage knowledge development process and tool development
 
−
 
 
−
'''Qualifications:'''
 
−
 
 
−
* Ph.D degree or equivalent in Computer Science, or related fields
 
−
* Minimum 7 years of large scale software development experiences
 
−
* Minimum 5 years of experience in knowledge engineering, ontology construction, and natural language processing.
 
−
* Strong in coding (C, C++, Java), algorithms and system design
 
−
* 5 years of hands-on experience in developing web service solutions and web applications.
 
−
* Excellent communication skills (both writing and speaking)
 
−
* In-depth experience in using speech recognition, and/or machine learning systems is a plus
 
−
 
 
−
'''How to Apply'''
 
−
 
 
−
For more information, and to apply online, please visit http://bit.ly/1odx96w
 
−
 
 
−
== Research Director NLP and Speech Processing / Educational Testing Service / Princeton, New Jersey ==
 
−
 
 
−
* Employer: Educational Testing Service
 
−
* Title: Research Director NLP and Speech Processing
 
−
* Specialty: Natural Language Processing / Speech Processing
 
−
* Location: Princeton, New Jersey, United States, 08541
 
−
* Deadline: Until filled
 
−
* Date Posted: March 12, 2014
 
−
 
 
−
'''Job Description:'''
 
−
 
 
−
ETS (Educational Testing Service), is headquartered in Princeton, NJ. 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.
 
−
 
 
−
Currently we are seeking a Research Director of the Natural Language Processing (NLP) and Speech Group to lead a team of 26 scientists and engineers in the research and development of innovative technologies to improve assessment. The Director also leads research that encourages the appropriate use of these technologies in operational settings and advances the state of the art in NLP and speech processing research in the education domain.
 
−
 
 
−
Specifically, you will be responsible for conceptualizing and pursuing a research agenda of fundamental and applied research in NLP and speech processing that will address current needs and anticipate future needs of education and assessment. This includes the development of technologies to automate or facilitate scoring of open-ended responses, support practices for developing tests and learning materials, safeguard the security and validity of assessments, enable technology-rich environments for assessment and learning, and provide automated performance feedback.
 
−
 
 
−
In addition, you will assume responsibility for the enhancement of a variety of existing ETS technologies that include e-rater (for automated scoring of essays), c-rater (for scoring content-based short answers), and SpeechRater (for scoring the spontaneous speech of English Language Learners), as well as the development of fundamentally new systems and methods.
 
−
 
 
−
Also, you be responsible for leading efforts to expand the use of ETS NLP and speech technologies. The Director will actively seek out opportunities for operational use of these technologies for both internal and external clients. This includes coordinating with ETS business units to understand market and client needs/trends, identify appropriate use contexts, develop the necessary research evidence to support operational use, and establish procedures for the transition of research technologies to production environments.
 
−
 
 
−
'''Requirements:'''
 
−
 
 
−
To qualify, you must possess:
 
−
* A Doctoral degree in computer science, computational linguistics, linguistics, electrical engineering, or a related field
 
−
* Eight years of progressively more independent research experience providing evidence of continuing and substantial contributions to a field of study are necessary, with experience managing research staff and transitioning the outcomes of research into operational practice desirable.
 
−
* Excellent verbal and written communications skills, including public speaking, interpersonal and public relations skills, and writing and editing skills.
 
−
 
 
−
'''How to Apply:'''
 
−
 
 
−
Please apply online at: http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=160741&BUID=2538
 
−
 
 
−
'''Information about the institute:'''
 
−
 
 
−
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.
 
−
 
 
−
With more than 3,400 global employees worldwide, ETS develops, administers and scores more than 50 million tests annually in more than 180 countries, at 9,000+ locations worldwide. In addition to assessments, we conduct educational research, analysis and policy studies and develop a variety of customized services and products for teacher certification, English language learning and elementary, secondary and postsecondary education. Equal Opportunity Employer
 
−
 
 
−
== Research Intern in Natural Language Processing (NLP) / Text Mining / Digital Humanities ==
 
−
 
 
−
* Employer: The Ubiquitous Knowledge Processing Lab (UKP Lab) in Darmstadt/Frankfurt
 
−
* Title: Research Intern
 
−
* Specialty: Natural Language Processing / Text Mining / Digital Humanities
 
−
* Location: Darmstadt/Frankfurt am Main, Germany
 
−
* Deadline: Until filled
 
−
* Date Posted: January 20, 2014
 
−
* Contact email: gurevych (at) cs (dot) tu-darmstadt (dot) de
 
−
 
 
−
'''Job Description:'''
 
−
 
 
−
The Ubiquitous Knowledge Processing Lab (UKP Lab) offers several exciting internship opportunities in cutting-edge research projects as
 
−
 
 
−
* Research Intern in Natural Language Processing (NLP) / Text Mining / Digital Humanities
 
−
 
 
−
located either at the Computer Science Department of the Technische Universität Darmstadt or at the Information Center for Education at DIPF in Frankfurt (Germany)
 
−
 
 
−
The positions are situated within one of the Lab’s projects dealing with automatic text processing, linguistic and machine learning based methods of language analysis, corpus development for novel tasks, or tool support for users in NLP research and humanities. The Lab’s approach to NLP features the hybrid methods in large-scale language processing, real-world text mining, and hands-on skills in the rapid development of scalable systems with practical relevance.  
 
−
 
 
−
The position is a fixed-term internship contract (6 months) with an option to extend it up to 1 year, provided certain conditions are met. A part-time working arrangement is possible. The internships are funded according to the level of qualification, previous experience, and formal criteria.
 
−
 
 
−
'''Requirements:'''
 
−
 
 
−
We are looking for internship students to work on one of the following areas: computational linguistics, text mining, or machine learning, with substantial theoretical knowledge, excellent problem-solving and programming (Java) skills for language processing, eagerness to apply the knowledge and skills in new contexts, and interest to participate in the Lab’s internationally competitive research. The ability to work independently, personal commitment, teamwork and communication skills, and a readiness to cooperate are required. The ability to speak German as well as previous experience in NLP, text-mining, or digital humanities are beneficial, but is not a job requirement.
 
−
 
 
−
We welcome applications of students at all levels of study (bachelor, master) as well as graduate-level applications. The position is ideally suited to acquire research experience abroad (also as required by the ongoing study program of an applicant), or qualify as a Master-, PhD-student, or a research associate at one of the leading universities, and for a competitive industry position.
 
−
 
 
−
 
 
−
'''How to Apply:'''
 
−
 
 
−
Applications (including CV, details of previous academic work, at least two educational and professional references, and final thesis in electronic form) should be submitted to gurevych (at) cs (dot) tu-darmstadt (dot) de.
 
  
 +
'''Research focus''': the Fellow will work in a multi-disciplinary team of artificial intelligence scientists, informaticians, biostatisticians, and clinicians on projects involving development of high-dimensional predictive models in medicine. The models will be based on data from a large integrated healthcare system and will utilize a combination of artificial intelligence and natural language processing of multiple narrative document streams.
  
−
'''Information about the institute:'''
+
'''Supervisor''': Alexander Turchin, MD, MS, FACMI
  
−
The Computer Science Department of the Technische Universität Darmstadt is regularly ranked among the best in Germany. The Ubiquitous Knowledge Processing Lab (UKP Lab) in Darmstadt/Frankfurt (http://www.ukp.tu-darmstadt.de/) led by Professor Iryna Gurevych offers an excellent research environment. The distinguishing features of its research are novel linked lexical semantic resources, algorithms for semantic language analysis (for example, word sense disambiguation, or semantic role labeling), and text-mining (for example, topic recognition, or opinion analysis). The ongoing research projects closely cooperate with users of the developed technologies in humanities, e.g. in educational research, text interpretation in philosophy, corpus linguistics, or history sciences. Within the graduate program “Knowledge Discovery in Scientific Literature” (http://www.kdsl.tu-darmstadt.de/), the UKP Lab is networked with multiple groups in machine learning, statistical NLP and information management.
+
'''Required skills''': experience with natural language processing; ability to design and conduct effective research studies; strong analytical, scientific writing, presentation and communication skills; strong programming and system development skills. Experience with artificial intelligence technologies, predictive modeling, Big Data and medical terminologies / ontologies is a strong plus.
  
 +
'''Education''': PhD in computer science, biomedical informatics, linguistics, or a related discipline; MD or an equivalent degree.
  
−
== Research Scientist for Automated Language Processing / Text Mining / Digital Humanities, German Institute for International Educational Research (DIPF), Frankfurt am Main ==
+
'''Length of appointment''': This position is for one year with second and third year reappointment dependent on satisfactory performance and availability of funding.
  
−
* Employer: The German Institute for International Educational Research (DIPF)
+
'''Available''': Immediately.
−
* Title: Research Scientist
 
−
* Specialty: Automated Language Processing / Text Mining / Digital Humanities
 
−
* Location: Frankfurt am Main, Germany
 
−
* Deadline: February 14, 2014
 
−
* Date Posted: January 13, 2014
 
−
* Contact email: gurevych (at) dipf (dot) de
 
  
−
'''Information about the institute:'''
+
'''Compensation''': according to NIH (NRSA) stipend levels.
  
−
The German Institute for International Educational Research (DIPF) (http://www.dipf.de/) n Frankfurt am Main, Germany, is a member of the Gottfried Wilhelm Leibniz Association of Sciences. As a national centre for educational research and educational information, it is jointly funded by the federal government (Bund) and the states (Länder).
+
'''To apply''': send cover letter and CV to Dr. Alexander Turchin at aturchin@bwh.harvard.edu.  
  
−
As a scientific institution and member of the Leibniz Association, DIPF targets high-quality fundamental research as well as a research-based development of innovative scientific services. It addresses education as a public domain with high visibility and high importance. By bringing together competencies, DIPF and Computer Science at TU Darmstadt are setting up a priority domain of knowledge processing and computer science in education. In relevant national rankings, the Computer Science department at TU Darmstadt regularly holds top positions. In 2012, the UKP-DIPF group was established: its unique features include semantic language processing, text mining and information retrieval as well as powerful infrastructures for evaluating and aggregating knowledge.
+
==Internship positions available in Natural Language Processing at Adobe Research==
 +
* Employer: Adobe Systems Incorporated
 +
* Title: NLP Scientist Intern
 +
* Natural Language Processing, Machine Learning, Question Answering and Dialog Systems.
 +
* Location: San Jose, CA
 +
* Deadline: open until all the positions are filled
 +
* Date Posted: December 23, 2015
 +
* Trung Bui: bui@adobe.com
  
 +
'''Description''':
 +
We are looking for several NLP scientist interns who will work on semantic understanding, question answering and dialog systems to improve Adobe digital media and digital marketing products.
 +
The internship will be at the Medial Intelligence Lab under the Imagination Lab at Adobe Research (http://www.adobe.com/technology.html) located in San Jose, California. It is 13 weeks long and can start any time from March 1, 2016.
  
−
'''Job Description:'''
+
'''Key Qualifications'''
 +
*Experience with semantic parsing, question answering and dialog systems.
 +
*Experience with machine learning, deep learning.
 +
*Good programming skills in Java/C++ and/or Python
  
−
At DIPF, the research unit “Ubiquitous Knowledge Processing Lab“ at the Information Center for Education (located in Frankfurt am Main, Germany) is looking for an
+
'''Education'''
 +
M.S. or PhD student in Computer Science or related field
  
−
* Research Scientist for Automated Language Processing / Text Mining / Digital Humanities (three-year contract, full time, EG13 TV-H*)
+
'''Additional Requirements'''
 +
No.
  
−
The position is situated in the context of the project “Die Welt der Kinder: Weltwissen und Weltdeutung in Schul- und Kinderbüchern zwischen 1850 und 1918“ [children’s worlds: knowledge and interpretation of the world in  textbooks and children’s books from 1850 to 1918], subject to the Leibniz competition for excellence. Here, DIPF collaborates with the Georg-Eckert Institute for International Textbook Research (Brunswick) and the Institute for Language Technology and Information Science (University of Hildesheim).
+
== Associate Research Scientist at UKP Lab, TU Darmstadt ==
−
 
+
* Employer: [https://www.ukp.tu-darmstadt.de/ UKP Lab], Department of Computer Science, Technische Universität Darmstadt
−
The project targets research into historical textbooks and children’s books - and the analysis of world views children grew up with. In the project, classical qualitative methods used in historical sciences to analyse texts that are charged with interpretation will be interlinked with automatic indexing and semantic annotation of historical sources by means of semantic language processing methods. First and foremost, Topic Detection and Opinion Mining methods will be explored and further developed. So far, no training data exist for the analysis of historical texts in German. Thus, the appointment addresses a genuine task in the context of innovative digital humanities, targeting the implementation of unsupervised and adaptive language processing methods. Another innovative aspect concerns the close collaboration with users and the linkage of intellectual with automated methods of analysis.
+
* Title: Associate Research Scientist
−
 
+
* Speciality: Natural Language Processing
−
The position is integrated into a highly dynamic environment at DIPF and TU Darmstadt. At DIPF, the successful candidate will co-operate with researchers in the growing domain of “Ubiquitous Knowledge Processing”, with computer science and educational research groups and information services, e.g. the Research Library for  the History of Education (BBF) at DIPF. At TU Darmstadt, a close co-operation exists concerning the UKP Lab (Prof. Dr. Iryna Gurevych), and research groups focusing text and data mining as well as partners from digital humanities projects at Darmstadt and at national levels (DARIAH-DE, CLARIN and LOEWE priority “Digital Humanities“ in the state of Hesse).
+
* Location: Darmstadt, Germany
−
 
+
* Deadline: January 15, 2016
−
We invite excellently qualified postgraduates or excellent graduates from relevant study courses to apply (Computer Science, Computational Linguistics or related subjects).
+
* Date posted: December 23, 2015
−
 
+
* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de]
−
Owing to the duration of the project, a contract will be signed for three years. TU Darmstadt offers an opportunity for further scientific qualification (i.e. doctoral degree, habilitation). The salary complies with TV-H (public service labour agreement in the state of Hesse). Applicants will principally be able to work part-time.
 
−
 
 
−
* Tarifvertrag für den öffentlichen Dienst des Landes Hessen (labour agreement for public service in the federal state of Hesse)
 
−
 
 
−
'''Requirements:'''
 
−
 
 
−
* Doctoral degree or diploma/master degree in Computer Science, Computational Linguistics or other relevant subjects;
 
−
* Preferably very good programming skills in Java and Web technologies; knowledge of UIMA;
 
−
* Very good English language skills (written and spoken) and at least basic knowledge of German;
 
−
* Ability to work independently, commitment to the task, the ability to work and communicate in a team and readiness to co-operate;
 
−
 
 
−
Experience in automated language processing, text mining or digital humanities is preferred.
 
−
 
 
−
Women are expressly invited to submit their application. According to the pursuant legal requirements, applicants with disabilities will be preferably treated in the appointment procedure.
 
−
 
 
−
 
 
−
'''How to apply:'''
 
−
 
 
−
Candidates are requested to submit their application in electronic form (including CV and information regarding scientific work experience, university and work reports/references including electronic versions of the thesis and/or three key publications as well as names of two references), quoting the reference code (Referenz-Nr. IZB 2014-02). Please e-mail by February 14, 2014 to Prof. Dr. Iryna Gurevych, German Institute for International Educational Research (DIPF), Postfach 900270, 60442 Frankfurt am Main, Germany, i.e. office-ukp (at) dipf (dot) de. If you have any further questions, please contact Prof. Gurevych by e-mail: gurevych (at) dipf (dot) de.
 
−
 
 
−
 
 
−
 
 
−
== Research Scientist in scientific coordination and transfer in computer science, knowledge and language processing, German Institute for International Educational Research (DIPF), Frankfurt am Main ==
 
−
 
 
−
* Employer: The German Institute for International Educational Research (DIPF)
 
−
* Title: Research Scientist
 
−
* Specialty: scientific coordination and transfer in computer science, knowledge and language processing
 
−
* Location: Frankfurt am Main, Germany
 
−
* Deadline: February 14, 2014
 
−
* Date Posted: January 13, 2014
 
−
* Contact email: gurevych (at) dipf (dot) de
 
−
 
 
−
'''Information about the institute:'''
 
−
 
 
−
The German Institute for International Educational Research (DIPF) (http://www.dipf.de/) n Frankfurt am Main, Germany, is a member of the Gottfried Wilhelm Leibniz Association of Sciences. As a national centre for educational research and educational information, it is jointly funded by the federal government (Bund) and the states (Länder).
 
−
 
 
−
As a scientific institution and member of the Leibniz Association, DIPF targets high-quality fundamental research as well as a research-based development of innovative scientific services. It addresses education as a public domain with high effectiveness and high importance. In relevant national rankings, the Computer Science department at TU Darmstadt regularly holds top positions. Its unique character is marked by excellent competencies in the fields of knowledge discovery on the web focusing on semantic language technology: text mining and information retrieval. By bringing competencies together, DIPF - with Computer Science at TU Darmstadt - has set up an institutional priority domain on knowledge processing and computer science in education.
 
−
 
 
−
'''Job Description:'''
 
−
 
 
−
At DIPF, the Information Center for Education (located in Frankfurt am Main) is looking for a
 
−
 
 
−
* Research Scientist (two-year contract, full time, EG13 TV-H*)
 
−
 
 
−
for tasks in the field of scientific coordination and transfer in computer science, knowledge and language processing.
 
−
 
 
−
 
 
−
The position concerns scientific coordination and transfer tasks in the context of the postgraduate programme Knowledge Discovery in Scientific Literature (http://www.kdsl.tu-darmstadt.de/), founded in 2013  at DIPF and TU Darmstadt, focusing on computational linguistics and language technology. It is nested in the research priority of “computer science for educational research”, newly established at the Information Centre for Education.  The successful candidate will collaborate closely with the Computer Science Department (Prof. Dr. Iryna Gurevych) at Technical University Darmstadt; the position is at the core of the newly established institutional focus on knowledge processing (http://www.werc.tu-darmstadt.de/) at DIPF and Technical University Darmstadt.
 
−
 
 
−
The successful candidate will be expected to coordinate research in the study and qualification programme of the postgraduate programme, monitor the postgraduate programme and its five students and contribute to the transfer of technology. Furthermore, we expect the successful candidate to actively engage in defining requirements, coordinating the assessment of needs and conducting user workshops.
 
−
 
 
−
The position functions as an interface between research on automated analysis of research literature on the one hand and information services respectively information technologies at DIPF on the other. We aim to adapt innovative methods in computer science, language technology and information management to the educational researchers’ needs. These activities target novel means of access to digital science literature and on the web.
 
−
We welcome applications from excellently qualified postdoctoral candidates and (in exceptional cases) excellent graduates striving for further qualification in a scientific-technological field and in research management. 
 
−
 
 
−
A contract will initially be signed for two years. TU Darmstadt offers an opportunity for further scientific qualification (i.e. doctoral degree, habilitation). The salary complies with TV-H (public service labour agreement in the state of Hesse). Applicants will principally be able to work part-time.
 
−
 
 
−
* Tarifvertrag für den öffentlichen Dienst des Landes Hessen (labour agreement for public service in the federal state of Hesse)
 
−
 
 
−
 
 
−
'''Requirements:'''
 
−
 
 
−
- A very good or excellent doctoral degree or likewise excellent diploma/masters degree in computer science, computational linguistics or a related subject domain;
 
−
- Very good English language skills (written and spoken) and at least basic skills in German;
 
−
- Ability to work independently, commitment to the task, the ability to work and communicate in a team and readiness to cooperate;
 
−
- Experience in coordinating distributed software development and its Integration;
 
−
- Experience in conceptualising and conducting events for scientists, users, and the public.
 
−
- Preferably experience in information and text processing, machine learning, very good Java programming skills and knowledge of UIMA, experience with larger-scale software projects.
 
−
 
 
−
Candidates are expected to provide certification of their experience in scientific publishing, acquisition of external funding and project management.
 
−
 
 
−
Women are expressly invited to submit their application. According to the pursuant legal requirements, applicants with disabilities will be preferably treated in the appointment procedure.
 
−
 
 
−
 
 
−
'''How to apply:'''
 
−
 
 
−
Candidates are requested to submit their application in electronic form (including CV and information regarding scientific work experience, university and work reports/references including electronic versions of the thesis and/or three key publications as well as names of two references), quoting the reference code (Referenz-Nr. IZB 2014-01). Please e-mail by February 14, 2014 to Prof. Dr. Iryna Gurevych, German Institute for International Educational Research (DIPF), Postfach 900270, 60442 Frankfurt am Main, Germany, i.e. office-ukp (at) dipf (dot) de. If you have any further questions, please contact Prof. Gurevych by e-mail: gurevych (at) dipf (dot) de.
 
−
 
 
−
 
 
−
== Tenure-track Faculty Positions in Natural Language Processing, Institute of Information Science, Academia Sinica, Taipei, Taiwan ==
 
−
 
 
−
* Employer: Institute of Information Science, Academia Sinica
 
−
* Rank or Title: Assistant/Associate/Full Research Fellow
 
−
* Specialty: Chinese Natural Language Processing and Knowledge Representation
 
−
* Location: Taipei, Taiwan
 
−
* Deadline: Open until filled
 
−
* Date Posted: January 7, 2014
 
−
* Contact email: recruit@iis.sinica.edu.tw
 
  
−
'''Job Description:'''
+
The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for an '''Associate Research Scientist (PostDoc- or PhD-level; for an initial term of two years)''' to strengthen the group's profile in the area of Computational Argumentation. The UKP Lab is a research group comprising over 30 team members who work on various aspects of Natural Language Processing (NLP), of which Computational Argumentation is one of the rapidly developing focus areas in collaboration with industrial partners.
  
−
The Institute of Information Science (IIS) at Academia Sinica, Taiwan invites all qualified candidates to apply for the positions of junior and senior research fellows of all ranks (equivalent to the ranks of tenure track assistant, associate and full professors in a regular academic department without teaching responsibility) in Chinese natural language processing and knowledge representation. Research on Chinese semantic analysis and parsing is particularly emphasized. Exceptional candidates in all areas of Computer Science are also encouraged to apply.
+
We ask for applications from candidates in Computer Science, Information Systems, Business Information Technology, or Computational Linguistics, preferably with expertise in research and development projects, and strong communication skills in English and German. The successful applicant will work in projects including research activities in the area of computational argumentation (e.g. automatic evidence detection, decision support, large-scale web mining on heterogeneous source and data management), and development activities to create new products or industrial product prototypes. Prior work in the above areas is a definite advantage. Ideally, the candidates should have demonstrable experience in designing and implementing complex (NLP) systems in Java and experience in information retrieval, large-scale data processing and machine learning. In particular, experience with deep-learning is a strong plus. Combining fundamental NLP research on Computational Argumentation with industrial applications from different application domains will be highly encouraged.
  
−
Academia Sinica is a national academic research institution in Taiwan that conducts research on a broad spectrum of subjects in science and humanities. IIS is committed to high quality research in computer and information science and engineering. In addition to internal research funding supported by Academia Sinica, external funding through government agencies and industry-sponsored institutions is also available. Starting from 2014, we shall launch an International Ph. D. Program in Social Networks and Human-Centered Computing in collaboration with universities.
+
UKP's wide cooperation network both within its own research community and with partners from industry provides an excellent environment for the position to be filled. 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" and the recently established Research Training Group "Adaptive Information Processing of Heterogeneous Content" (AIPHES) funded by the DFG emphasizes NLP, text mining, machine learning, as well as scalable infrastructures for the assessment and aggregation of knowledge. UKP Lab is a highly dynamic research group committed to high-quality research results, technologies of the highest industrial standards, cooperative work style and close interaction of team members working on common goals.
  
−
Full-time research fellows are free to set their own research directions. IIS currently has about 40 full-time research fellows and close to 300 full-time post doctoral fellows and research assistants. The areas of current research include Systems Technology, Bioinformatics, Multimedia, Data Mining, Natural Language Processing, Network, Theory, and Programming Language.
+
Applications should include a detailed CV, a motivation letter and an outline of previous working or research experience (if available).
  
−
For additional information about IIS, please visit http://www.iis.sinica.edu.tw
+
Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please send the application to: [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de] by 15 January 2016. The position is open until filled. Later applications may be considered if the position is still open.
  
−
'''Required Qualifications:'''
+
== Postdoctoral Researcher position in NLP/Computational Social Science at UPenn ==
 +
* Employer: Computer & Information Science, University of Pennsylvania, USA
 +
* Title: Postdoctoral Researcher
 +
* Speciality: Natural Language Processing, Computational Social Science
 +
* Location: Philadelphia, USA
 +
* Deadline: January 15, 2016
 +
* Date posted: December 21, 2015
 +
* Contact: applications@wwbp.org
  
−
All Candidates should have a Ph.D. degree in computer science or closely related fields with a strong research and publication record. Senior candidates must demonstrate strong leadership, and have an international reputation evidenced by publications, patents, industrial experiences, or other academic and scholarly achievements. Salary is commensurate with qualifications.
+
We invite applicants for a postdoctoral research position in natural language processing for health and social science, working on an interdisciplinary research project studying subjective well-being and health outcomes. The researcher will help develop state-of-the-art methods and models to better understand people, such as predicting personality from the words they use and automatically recognizing cognitive distortions typical of people prone to depression.
  
−
Fluency in Chinese is an advantage, but not required.
+
The ideal candidate will have research experience in computational linguistics and applied machine learning. She or he will develop and code novel methods to leverage large datasets (i.e. billions of tweets) and use them to further our understanding of health, well-being, and the psychological states of individuals and large populations. Methods and results will be published in high impact computer science venues and, via collaboration with psychologists and medical doctors, in social science and health venues. See wwbp.org for example publications.
  
−
'''How to Apply:'''
+
* Application Deadline: January 15, 2015
 +
* Approximate Start Date: March 1, 2016 (but flexible)
  
−
All candidates should send detailed curriculum vitae, and at least three letters of recommendation to
+
How to Apply: Send a detailed CV with at least 2 references who can be contacted for letters to applications@wwbp.org. Include job-code “POSTDOC-CS” in subject line.
  
−
Dr. Wen-Lian Hsu, Director
+
The University of Pennsylvania is an EOE/Affirmative Action Employer. Position contingent on funding.
  
−
Institute of Information Science
+
Primary Contact: Professor Lyle Ungar, ungar@cis.upenn.edu
  
−
Academia Sinica
 
  
−
Nankang 115, Taipei, Taiwan
+
== Multiple positions as Full-time researcher, Post-doc researcher, Software Engineer and Summer Intern in IBM Research - Almaden, San Jose ==
 +
* Employer: IBM Research - Almaden
 +
* Title: Researcher, Software Engineer, Post-doc, Summer Intern
 +
* Speciality: natural language processing, information integration, entity resolution, machine learning, ontologies, and large-scale data management
 +
* Location: San Jose, CA
 +
* Deadline: (until filled)
 +
* Date posted: December 18, 2015
 +
* Contact: Laura Chiticariu (chiti {at} us.ibm.com) and/or Lucian Popa (lpopa {at} us.ibm.com)
  
−
TEL: 886-2-2788-3799ext.1804
 
  
−
FAX:886-2-2782-4814
+
IBM Research - Almaden is looking for researchers to join the Natural Language Processing, Entity Resolution and Discovery Department. Our research focuses around creating a knowledge engineering platform for the creation, maintenance and consumption of “industry-specific” knowledge bases from a large number of (un/semi)structured public, licensed and enterprise content sources. Such a platform needs to support the entire lifecycle for knowledge engineering including:
 +
* creation, maintenance and evolution of ontologies to capture domain concepts of interest
 +
* scalable systems, tools and methodologies to support the development of individual analytic stages involved in creating knowledge from multiple sources such as text analytics, entity resolution and integration, cleansing, data transformations and machine learning; supporting domain adaptability and easy-to-use interfaces for key user personae for the individual analytic stages
 +
* scalable content services infrastructure that enables production-level deployment of these analytic workflows with support for continuous monitoring, introspection and recovery in the knowledge base creation process
 +
* techniques and methods for scalable and flexible indexing and querying support over the knowledge base supporting structured and search style queries, entity queries, as well as ad-hoc and exploratory queries
 +
* easy-to-use knowledge consumption interfaces for both human and machine consumption including support for  discovery and ad-hoc NLQ driven interfaces
 +
* incorporating crowd sourcing and continuous evolution of the system through learning from user interactions.
  
−
E-mail: recruit@iis.sinica.edu.tw
 
  
−
== Computational Postdoc position, Johns Hopkins University, Cognitive Science ==
+
The research builds upon and extends successful projects from our group, which have resulted in academic, industrial and open source impact:
 +
* SystemT: http://researcher.watson.ibm.com/researcher/view_group.php?id=1264
 +
* Midas: http://researcher.watson.ibm.com/researcher/view_group.php?id=2171
 +
* SystemML: http://researcher.watson.ibm.com/researcher/view_group.php?id=3174
  
−
* Employer: Johns Hopkins University
 
−
* Rank or Title: Postdoctoral Fellow
 
−
* Specialty: Computational Linguistics/Cognitive Science
 
−
* Location: Baltimore, MD, USA
 
−
* Deadline: February 17, 2014 or until filled
 
−
* Date Posted: January 7, 2014
 
−
* Contact email: INSPIREpostdoc@jhu.edu
 
  
−
'''Brief Job Description:'''
+
The research is being conducted in close collaboration with the IBM Watson Solutions division and multiple global IBM Research labs (India, Haifa and Zurich), with focus around demonstrating scalable knowledge base construction in multiple industry domains (e.g., Healthcare, Financial and consumer domains).
 +
We are currently looking for researchers (Research Staff Members, software engineers, post-doc researchers and summer interns) with interest & experience in one or more areas relevant to the knowledge engineering life cycle such as natural language processing, information integration, entity resolution, machine learning, ontologies, and large-scale data management, as described above.
  
−
Applications are invited for a postdoctoral position in the department of Cognitive Science at Johns Hopkins University.
 
  
−
The appointee will play a central role in a recently-founded group project devoted to developing a novel type of computing that fuses neural network and symbolic computation. In this “Gradient Symbolic Computation“, data consists of discrete structures built of symbols that have continuous activation values. The project addresses human syntax and semantics.
+
Please send your resumes to: Laura Chiticariu (chiti {at} us.ibm.com) and/or Lucian Popa (lpopa {at} us.ibm.com)
  
−
Keywords: computational linguistics, neural network modeling, syntactic processing, vector-space semantics
+
== Two Postdoc Opportunities at the US Army Research Lab in the Washington, DC Metro Area ==
 +
* Employer: US Army Research Laboratory
 +
* Title: Postdoctoral Fellow
 +
* Speciality: Knowledge Representation, Knowledge Bases, Common-Sense Reasoning, Planning
 +
* Location: Adelphi, MD
 +
* Deadline: (until filled)
 +
* Date posted: November 30, 2015
 +
* Contact: douglas.a.summers-stay.civ@mail.mil and/or ethan.a.stump2.civ@mail.mil
  
−
'''Detailed Job Description:'''
+
The US Army Research Laboratory currently has two postdoc opportunities:
  
−
The project is funded by NSF’s new INSPIRE program, created to support unusually forward-looking, high-risk/high-return research. The position offers the appointee the opportunity to be a key player in the exciting intellectual environment of a highly interdisciplinary research team of leading faculty members collaborating intensively to break new ground at the foundations of computation and cognition. These faculty members are committed to contributing to the career development of the appointee, who will also have opportunities to pursue their own research projects and to gain experience in teaching. The faculty co-investigators consist of 6 professors from the Cognitive Science and Computer Science Departments at Johns Hopkins (those listed in http://www.nsf.gov/awardsearch/showAward?AWD_ID=1344269 plus Prof. C. Wilson) as well as Prof. M. Goldrick in the Linguistics Department at Northwestern.
 
  
−
The ideal appointee will conduct development and extensive testing of:
+
'''Position #1'''
  
−
* general-purpose software to support symbolic-level computation over gradient symbol structures
+
The US Army Research Laboratory (ARL) is researching common-sense reasoning and natural language understanding for the purpose of creating a communication dialogue to promote increased intent understanding within Human-Robot teams. In support of this effort, ARL is looking for an individual with a PhD or equivalent, with interest and a background in knowledge representation, knowledge bases, knowledge graphs, common-sense reasoning, or spatial reasoning. We plan to make use of semantic vector spaces to enhance the capabilities of the reasoning system, so some familiarity with knowledge graph embedding, distributional semantic vector spaces (such as GloVe or word2vec), or learning from massive text corpora would also be beneficial.
  
−
* general-purpose software for simulating neural network implementations of this gradient symbolic computation
+
The position is available immediately with a duty location at the Adelphi Laboratory Center (ALC), Adelphi, MD.
  
−
* new machine-learning algorithms, including deep compositional networks
+
To learn more about the position, or to apply, please send questions or a CV to Dr. Douglas Summers-Stay via email at douglas.a.summers-stay.civ@mail.mil.
  
−
* new theories of compositional vector-space semantics and new neural-network architectures for implementing them
 
  
−
* new psycholinguistic models of human syntactic production and comprehension processes
+
'''Position #2'''
  
−
Most critical is the work on general-purpose software. This work will be conducted in close collaboration with faculty whose expertise spans all project areas. Johns Hopkins is a world leader in computational approaches to language science and engineering.  
+
The US Army Research Laboratory (ARL) is seeking a Postdoctoral Researcher to bridge the gap between humans and autonomous systems by developing a controlled language to reason and communicate about human intent as it applies to commands a robot receives. In robotics, practitioners often program autonomous systems by developing monolithic behaviors that, when correctly parameterized, will cause the system to act as desired. However, setting these parameters is often more art than science, and we cannot expect an average user to effectively task the system unless they have only the simplest tasks in mind. ARL desires a controlled language that both concisely describes the capabilities of autonomous systems, as well as enables common-sense reasoning and representation of implicit goals that will let the system fill instructional gaps from novice users.
  
−
The initial appointment is for one year, with an expectation of a second year, conditioned on satisfactory progress. Starting date is August 1, 2014.
+
In this position, the Researcher will work on a cross-disciplinary team comprised of researchers in computational linguistics, computer vision, machine learning, and experimental robotics to develop a system for interacting with humans—the goal being to develop and evolve complex plans carried out by autonomous systems. The primary responsibilities of the Researcher will be learning how we can use language to link the domains of intent reasoning and action, and developing such a language to enable experiments with humans and robot teams operating in dynamic environments.
  
−
'''How to Apply:'''
+
The candidate must have a PhD or equivalent degree, and should have an interest and background in formal methods, knowledge representation and reasoning, computational linguistics, control policies, or AI planning.
  
−
Applications will be processed until the position is filled. For full consideration, applications and letters should be received by February 17, 2014. An application consists of a single PDF file including (i) a cover letter detailing the applicant’s interests in connection with the project, the qualifications they bring to the work, and the training they would like to receive from the position; (ii) a current CV; (iii) a document containing links to their relevant publications (ideally, integrated into the CV); (iv) a research statement describing their past, on-going, and planned future work; and (v) (optional) a statement concerning their teaching experience and interests. The application, along with three letters of recommendation, must be emailed to INSPIREpostdoc@jhu.edu. Please ensure that your name is in the Subject line of all materials that you AND your References submit.  
+
The position is available immediately with a duty location at the Adelphi Laboratory Center (ALC), Adelphi, MD.
  
−
Johns Hopkins University is an Equal Opportunity, Affirmative Action employer; minorities, women, Vietnam-era veterans, disabled veterans and individuals with disabilities are encouraged to apply.
+
To learn more about the position, or to apply, please send questions or a CV to Dr. Ethan Stump via email at ethan.a.stump2.civ@mail.mil.

Revision as of 17:52, 9 February 2016

Research Scientist at the Allen Institute for Artificial Intelligence

  • Employer: Allen Institute for Artificial Intelligence (AI2)
  • Title: 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 2016
  • Date posted: 02/09/2016
  • Contact information: ai2-info@allenai.org
  • Website: http://allenai.org/jobs.html

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 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
  • Natural language processing
  • Diagram understanding
  • Visual knowledge extraction and visual reasoning

And more….

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 AI2’s 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, computer vision and machine learning, or question answering and explanation. We look favorably upon extensive work experience and publishing demonstrating application of your research.

Why AI2

In addition to AI2’s core mission of being a leader in the field of AI research, we also aim to create a superb team environment and to invest in each team member’s personal development. Some highlights are:

  • We are a learning organization – because everything AI2 does is ground-breaking, we are learning every day. Similarly, through weekly AI2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, AI2 is a place where you will have opportunities to continue learning right alongside us;
  • We value diversity of thought – we seek Research Scientists who can bring novel experiences and modes of problem solving to our leading-edge mission. If you are creative and efficient in your approach and insightful in your questioning, AI2 could be a great environment for you;
  • We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave;
  • We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures;
  • We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, we have the defending Super Bowl champions, and we have so much else. We even have kayaks for you to paddle right outside our front door;
  • We are friendly – chances are you will like every one of the 30+ (and growing!) people who work here. We do!

Application Process

Visit our website for more information: http://allenai.org/jobs.html


Software Engineer - Machine Learning / NLP (Chinese) at SYSTRAN

  • Employer: SYSTRAN
  • Title: Software Engineer
  • Topics: Machine Learning, Natural Language Processing, Machine Translation
  • Location: San Diego
  • Deadline: Open until filled
  • Date Posted: January 29, 2016
  • Contact: Apply directly at https://recruit.systrangroup.com/recruit/Portal.na

SYSTRAN is currently seeking an experienced Software Engineer specializing in Machine Learning / NLP to join our R&D team in San Diego to develop machine translation systems.

The ideal candidate must have a combination of research and implementation skills, including significant programming experience. Hands-on experience with machine learning, including deep neural network, text classification, statistical techniques for NLP or a related field, is highly desirable.

Responsibilities include software development, experimentation, analysis of results, and building systems that combine linguistics and statistical language models for machine translation centering on Chinese language.

Key Qualifications

  • Knowledge of natural language processing field, including but not limited to, formal grammar, syntactic parsing and morphology
  • Good algorithmic knowledge of machine learning
  • Experience writing and debugging software
  • Strong communications skills
  • Ability to work well as part of a team
  • Fluent in English.
  • Fluent in Chinese is a plus

Education and Experience

  • MS or Ph D in Computational Linguistics / Computer Science or relevant field.
  • 2+ years work experience preferred

Benefits

  • Successful candidates will be offered a competitive salary based on their qualifications and experience.


Vacancy for Lecturer/Senior Lecturer/Reader at University of Dundee

  • Employer: University of Dundee
  • Title: Lecturer/Senior Lecturer/Reader
  • Topics: Computational Linguistics, Language, Argumentation, Artificial Intelligence
  • Location: Dundee, UK
  • Deadline: 27 February 2016
  • Date Posted: 12 January 2016
  • Contact: Prof. Chris Reed (see http://arg.tech/lecturer)

£34,576 to £55,389 Full Time, Permanent

The University of Dundee’s School of Science & Engineering is advertising several permanent posts including one covering the Centre for Argument Technology. We are particularly keen to receive applications from candidates in Computational Linguistics to expand the group’s research in Argument Mining (see http://argmining2016.arg.tech and http://arg.tech/am), but welcome applications in all areas of the overlap between argumentation and artificial intelligence. A strong publication profile is essential, and for more senior appointments, so is a track record of funding success.

For further information about the Centre for Argument Technology, please see http://arg.tech or contact Prof. Chris Reed; for more information about the position, see http://arg.tech/lecturer. General details follow.

Summary of Job Purpose and Principal Duties

The University of Dundee is seeking an exceptional candidate to join one of our Computing research groups, based within the School of Science and Engineering. The successful candidate will develop new research lines within either the (i) Human Centred Computing Group; (ii) the Centre for Argument Technology; or (iii) the Space Technology Centre. Full information on the current research in each group can be found in the Further Particulars.

The successful candidate is expected to have a strong track record of research and a clear research plan that articulates with (or expands significantly) one of these areas. They will be expected to contribute to the development of research in this area by publishing in the highest quality journals and attracting appropriate research funding. For appointments at Grade 8 and 9, candidates are expected to show evidence of having attracted independent funding. The School encourages applications from holders of personal Fellowships.

Additionally, the successful candidate will be expected to take an active role in the teaching of undergraduate computing programmes as well as supporting teaching at Masters level.

Job Summary

The appointee will be expected to contribute to research in Computing and to teaching and administration within the School of Science and Engineering. They will be expected to:

  • Contribute to the ongoing research in one of the three research groups described above.
  • Contribute to the generation of external research funding.
  • Publish in high quality research journals and major international conferences.
  • Teach at undergraduate and post-graduate level.
  • Supervise students at all levels (honours and MSc projects, PhD).
  • Undertake administrative duties.

Application Requirements

In addition to the online form, applicants must include with their application:

  • Cover letter outlining fit to role.
  • Research plan (1-2 pages) covering proposed research over the first three years of the appointment.
  • Teaching plan (1-2 pages) outlining fit to current teaching at Dundee and teaching methodology.


Postdoctoral Fellow in Computational Models of Reasoning / Intelligence Systems Section at AI Center / US Naval Research Laboratory

  • Employer: US Naval Research Laboratory
  • Title: Postdoctoral Research Fellow
  • Topics: Reasoning, Computational Modeling, Language, Artificial Intelligence
  • Location: Washington, DC
  • Deadline: Open until filled
  • Date Posted: January 20, 2016
  • Contact: Sunny Khemlani (sunny.khemlani@nrl.navy.mil)

Research focus: The Postdoctoral Fellow will collaborate on various projects in reasoning, including (but not limited to) building a unified computational framework of reasoning; investigating how people engage in explanatory reasoning; and testing a system that reasons about time and temporal relations.

Supervisor: Sunny Khemlani, PhD

Key qualifications: A Ph.D. in cognitive psychology, cognitive science, or computer science, with experience in higher level cognition, experimental design and data analysis, or cognitive modeling. Experience with theories of reasoning, computer programming, and cognitive modeling is a strong plus.

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

Program and compensation: The Fellowship operates through the NRC Research Associateship Program (http://sites.nationalacademies.org/pga/rap/). Only US citizenship or green card holders are eligible for the program. Fellows are compensated through a research stipend of ~$75,000/year.

To apply: Send a cover letter and CV to Dr. Sunny Khemlani at sunny.khemlani@nrl.navy.mil.


Internship positions available at Juji, Inc.

  • Employer: Juji, Inc.
  • Title: Intern
  • Location: Saratoga, CA
  • Deadline: open until all the positions are filled
  • Date Posted: January 14, 2016

Description: Have you ever watched the movie Her? Have you ever wondered or wished to have a virtual partner just like Samantha, who could tell you what you really are, whom your best partner may be, and even cheers you up? At Juji, we are building a hyper-personalized, virtual REP (Responsible, Empathetic Pal) for everyone. Your REP not only understands who you are, including your personality, motivations, and strengths, but it can also chat with you to learn and help fulfill your certain needs.

We are seeking highly motivated and talented students, who are eager to help us tackle great technical challenges at Juji and to expand their knowledge and skills in the real world. We are especially interested in students who have had worked or love to work in the following areas: Artificial Intelligence, Natural Language Processing/Natural Language Generation, Machine Learning, Human-Computer Interaction, Information Visualization/Visual Analytics, and Cognitive Science.

We have multiple positions on two main tracks:

  • Software development. If you love to create amazing software technologies and systems for real users, this is the track for you. You are expected to own and deliver a relatively independent project that will contribute to our cutting-edge product development effort.
  • Scientific research. If you love to design and conduct scientific experiments to answer a specific set of research questions, this is the track for you. You will work on a government funded research project on understanding human trust in a digital environment. You are expected to play a critical role in designing and conducting novel research studies and writing papers that lead to scientific publications.

Qualifications Outstanding current students towards a bachelor or higher degree in the area of Computer Science, Computer Engineering, or equivalent disciplines are encouraged to apply. Strong software development or visual design skills are a plus.

To apply: Please email a copy of your resume to the following address: jobs@juji-inc.com with a subject line “Summer Internship 2016”, and state your track preference in your email body.


Postdoctoral Fellow in Natural Language Processing / AI 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, Artificial Intelligence, Predictive Modeling
  • Location: Boston, MA
  • Deadline: Open until filled
  • Date Posted: January 8, 2016
  • 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 high-dimensional predictive models in medicine. The models will be based on data from a large integrated healthcare system and will utilize a combination of artificial intelligence and natural language processing of multiple narrative document streams.

Supervisor: Alexander Turchin, MD, MS, FACMI

Required skills: experience with natural language processing; ability to design and conduct effective research studies; strong analytical, scientific writing, presentation and communication skills; strong programming and system development skills. Experience with artificial intelligence technologies, predictive modeling, Big Data and medical terminologies / ontologies is a strong plus.

Education: PhD in computer science, biomedical informatics, linguistics, or a 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: Immediately.

Compensation: according to NIH (NRSA) stipend levels.

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

Internship positions available in Natural Language Processing at Adobe Research

  • Employer: Adobe Systems Incorporated
  • Title: NLP Scientist Intern
  • Natural Language Processing, Machine Learning, Question Answering and Dialog Systems.
  • Location: San Jose, CA
  • Deadline: open until all the positions are filled
  • Date Posted: December 23, 2015
  • Trung Bui: bui@adobe.com

Description: We are looking for several NLP scientist interns who will work on semantic understanding, question answering and dialog systems to improve Adobe digital media and digital marketing products. The internship will be at the Medial Intelligence Lab under the Imagination Lab at Adobe Research (http://www.adobe.com/technology.html) located in San Jose, California. It is 13 weeks long and can start any time from March 1, 2016.

Key Qualifications

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

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

Additional Requirements No.

Associate Research Scientist at UKP Lab, TU Darmstadt

  • Employer: UKP Lab, Department of Computer Science, Technische Universität Darmstadt
  • Title: Associate Research Scientist
  • Speciality: Natural Language Processing
  • Location: Darmstadt, Germany
  • Deadline: January 15, 2016
  • Date posted: December 23, 2015
  • Contact: jobs@ukp.informatik.tu-darmstadt.de

The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for an Associate Research Scientist (PostDoc- or PhD-level; for an initial term of two years) to strengthen the group's profile in the area of Computational Argumentation. The UKP Lab is a research group comprising over 30 team members who work on various aspects of Natural Language Processing (NLP), of which Computational Argumentation is one of the rapidly developing focus areas in collaboration with industrial partners.

We ask for applications from candidates in Computer Science, Information Systems, Business Information Technology, or Computational Linguistics, preferably with expertise in research and development projects, and strong communication skills in English and German. The successful applicant will work in projects including research activities in the area of computational argumentation (e.g. automatic evidence detection, decision support, large-scale web mining on heterogeneous source and data management), and development activities to create new products or industrial product prototypes. Prior work in the above areas is a definite advantage. Ideally, the candidates should have demonstrable experience in designing and implementing complex (NLP) systems in Java and experience in information retrieval, large-scale data processing and machine learning. In particular, experience with deep-learning is a strong plus. Combining fundamental NLP research on Computational Argumentation with industrial applications from different application domains will be highly encouraged.

UKP's wide cooperation network both within its own research community and with partners from industry provides an excellent environment for the position to be filled. 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" and the recently established Research Training Group "Adaptive Information Processing of Heterogeneous Content" (AIPHES) funded by the DFG emphasizes NLP, text mining, machine learning, as well as scalable infrastructures for the assessment and aggregation of knowledge. UKP Lab is a highly dynamic research group committed to high-quality research results, technologies of the highest industrial standards, cooperative work style and close interaction of team members working on common goals.

Applications should include a detailed CV, a motivation letter and an outline of previous working or research experience (if available).

Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please send the application to: jobs@ukp.informatik.tu-darmstadt.de by 15 January 2016. The position is open until filled. Later applications may be considered if the position is still open.

Postdoctoral Researcher position in NLP/Computational Social Science at UPenn

  • Employer: Computer & Information Science, University of Pennsylvania, USA
  • Title: Postdoctoral Researcher
  • Speciality: Natural Language Processing, Computational Social Science
  • Location: Philadelphia, USA
  • Deadline: January 15, 2016
  • Date posted: December 21, 2015
  • Contact: applications@wwbp.org

We invite applicants for a postdoctoral research position in natural language processing for health and social science, working on an interdisciplinary research project studying subjective well-being and health outcomes. The researcher will help develop state-of-the-art methods and models to better understand people, such as predicting personality from the words they use and automatically recognizing cognitive distortions typical of people prone to depression.

The ideal candidate will have research experience in computational linguistics and applied machine learning. She or he will develop and code novel methods to leverage large datasets (i.e. billions of tweets) and use them to further our understanding of health, well-being, and the psychological states of individuals and large populations. Methods and results will be published in high impact computer science venues and, via collaboration with psychologists and medical doctors, in social science and health venues. See wwbp.org for example publications.

  • Application Deadline: January 15, 2015
  • Approximate Start Date: March 1, 2016 (but flexible)

How to Apply: Send a detailed CV with at least 2 references who can be contacted for letters to applications@wwbp.org. Include job-code “POSTDOC-CS” in subject line.

The University of Pennsylvania is an EOE/Affirmative Action Employer. Position contingent on funding.

Primary Contact: Professor Lyle Ungar, ungar@cis.upenn.edu


Multiple positions as Full-time researcher, Post-doc researcher, Software Engineer and Summer Intern in IBM Research - Almaden, San Jose

  • Employer: IBM Research - Almaden
  • Title: Researcher, Software Engineer, Post-doc, Summer Intern
  • Speciality: natural language processing, information integration, entity resolution, machine learning, ontologies, and large-scale data management
  • Location: San Jose, CA
  • Deadline: (until filled)
  • Date posted: December 18, 2015
  • Contact: Laura Chiticariu (chiti {at} us.ibm.com) and/or Lucian Popa (lpopa {at} us.ibm.com)


IBM Research - Almaden is looking for researchers to join the Natural Language Processing, Entity Resolution and Discovery Department. Our research focuses around creating a knowledge engineering platform for the creation, maintenance and consumption of “industry-specific” knowledge bases from a large number of (un/semi)structured public, licensed and enterprise content sources. Such a platform needs to support the entire lifecycle for knowledge engineering including:

  • creation, maintenance and evolution of ontologies to capture domain concepts of interest
  • scalable systems, tools and methodologies to support the development of individual analytic stages involved in creating knowledge from multiple sources such as text analytics, entity resolution and integration, cleansing, data transformations and machine learning; supporting domain adaptability and easy-to-use interfaces for key user personae for the individual analytic stages
  • scalable content services infrastructure that enables production-level deployment of these analytic workflows with support for continuous monitoring, introspection and recovery in the knowledge base creation process
  • techniques and methods for scalable and flexible indexing and querying support over the knowledge base supporting structured and search style queries, entity queries, as well as ad-hoc and exploratory queries
  • easy-to-use knowledge consumption interfaces for both human and machine consumption including support for discovery and ad-hoc NLQ driven interfaces
  • incorporating crowd sourcing and continuous evolution of the system through learning from user interactions.


The research builds upon and extends successful projects from our group, which have resulted in academic, industrial and open source impact:


The research is being conducted in close collaboration with the IBM Watson Solutions division and multiple global IBM Research labs (India, Haifa and Zurich), with focus around demonstrating scalable knowledge base construction in multiple industry domains (e.g., Healthcare, Financial and consumer domains). We are currently looking for researchers (Research Staff Members, software engineers, post-doc researchers and summer interns) with interest & experience in one or more areas relevant to the knowledge engineering life cycle such as natural language processing, information integration, entity resolution, machine learning, ontologies, and large-scale data management, as described above.


Please send your resumes to: Laura Chiticariu (chiti {at} us.ibm.com) and/or Lucian Popa (lpopa {at} us.ibm.com)

Two Postdoc Opportunities at the US Army Research Lab in the Washington, DC Metro Area

  • Employer: US Army Research Laboratory
  • Title: Postdoctoral Fellow
  • Speciality: Knowledge Representation, Knowledge Bases, Common-Sense Reasoning, Planning
  • Location: Adelphi, MD
  • Deadline: (until filled)
  • Date posted: November 30, 2015
  • Contact: douglas.a.summers-stay.civ@mail.mil and/or ethan.a.stump2.civ@mail.mil

The US Army Research Laboratory currently has two postdoc opportunities:


Position #1

The US Army Research Laboratory (ARL) is researching common-sense reasoning and natural language understanding for the purpose of creating a communication dialogue to promote increased intent understanding within Human-Robot teams. In support of this effort, ARL is looking for an individual with a PhD or equivalent, with interest and a background in knowledge representation, knowledge bases, knowledge graphs, common-sense reasoning, or spatial reasoning. We plan to make use of semantic vector spaces to enhance the capabilities of the reasoning system, so some familiarity with knowledge graph embedding, distributional semantic vector spaces (such as GloVe or word2vec), or learning from massive text corpora would also be beneficial.

The position is available immediately with a duty location at the Adelphi Laboratory Center (ALC), Adelphi, MD.

To learn more about the position, or to apply, please send questions or a CV to Dr. Douglas Summers-Stay via email at douglas.a.summers-stay.civ@mail.mil.


Position #2

The US Army Research Laboratory (ARL) is seeking a Postdoctoral Researcher to bridge the gap between humans and autonomous systems by developing a controlled language to reason and communicate about human intent as it applies to commands a robot receives. In robotics, practitioners often program autonomous systems by developing monolithic behaviors that, when correctly parameterized, will cause the system to act as desired. However, setting these parameters is often more art than science, and we cannot expect an average user to effectively task the system unless they have only the simplest tasks in mind. ARL desires a controlled language that both concisely describes the capabilities of autonomous systems, as well as enables common-sense reasoning and representation of implicit goals that will let the system fill instructional gaps from novice users.

In this position, the Researcher will work on a cross-disciplinary team comprised of researchers in computational linguistics, computer vision, machine learning, and experimental robotics to develop a system for interacting with humans—the goal being to develop and evolve complex plans carried out by autonomous systems. The primary responsibilities of the Researcher will be learning how we can use language to link the domains of intent reasoning and action, and developing such a language to enable experiments with humans and robot teams operating in dynamic environments.

The candidate must have a PhD or equivalent degree, and should have an interest and background in formal methods, knowledge representation and reasoning, computational linguistics, control policies, or AI planning.

The position is available immediately with a duty location at the Adelphi Laboratory Center (ALC), Adelphi, MD.

To learn more about the position, or to apply, please send questions or a CV to Dr. Ethan Stump via email at ethan.a.stump2.civ@mail.mil.

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