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* '''[[Instructions for Posting Job Ads]]'''
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* See also the [http://linguistlist.org/jobs Linguist Job List].
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* See also the [http://linguistlist.org/jobs/index.html Linguist Job List].
 
 
* Archived postings:
 
* Archived postings:
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** [[Employment opportunities posted 2017|2017]] - [[Employment opportunities posted 2016|2016]] - [[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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==Engineer 4, NLP Software Development - Comcast Corporation (Washington DC or Philadelphia PA)==
 
* Employer: Comcast
 
* Rank or Title: Engineer 4
 
* Specialty: Natural Language Processing, Speech Recognition, Machine Learning
 
* Location: Washington DC or Philadelphia
 
* Deadline: Applications accepted until position is filled
 
* Date Posted: 6 December 2012
 
* Contact email: brian_curtis@cable.comcast.com
 
  
'''Position Description'''
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== Postdoctoral Research Scientist: Computational Linguistics - Rochester Institute of Technology ==
 +
* Employer: Rochester Institute of Technology
 +
* Title: Postdoctoral Research Scientist
 +
* Specialty: Postdoctoral Research Scientist: Computational Linguistics
 +
* Location: Rochester, New York, United States
 +
* Deadline: Open until filled
 +
* Date posted: February 17, 2018
 +
* Contact: Cecilia O. Alm ([mailto:coagla@rit.edu coagla@rit.edu])
 +
* [https://sjobs.brassring.com/TGnewUI/Search/Home/Home?partnerid=25483&siteid=5289#jobDetails=1404561_5289 Job listing]
  
Comcast is the largest cable TV company in the world. We are looking for talented engineers to help us shape the future of content discovery for television.
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We invite applications for an interdisciplinary postdoctoral position with specialization in computational linguistics and/or technical or scientific methods in language science at Rochester Institute of Technology (RIT), in Rochester, NY. This is a one-year position with opportunity for renewal. The applicant should demonstrate a fit with our commitment to collaborate with colleagues across the university on research initiatives in Personalized Healthcare Technology. In addition to engaging in research projects, the right candidate will be able to teach a total of two courses per year - one course each in the College of Liberal Arts and the Golisano College of Computing and Information Sciences at RIT. The teaching assignment may be Computer Science Principles, Introduction to Language Science, Language Technology, Introduction to Natural Language Processing, Science and Analytics of Speech (acoustic and experimental phonetics), Spoken Language Processing (automatic speech recognition and text-to-speech synthesis), Seminar in Computational Linguistics, or another course depending on background.
 
 
To help get us there, we are hiring an experienced software engineer to develop new technology and adapt/apply existing technologies to NLP problems for the Comcast Voice Control platform. This position is part of a small team that uses Speech Recognition, Natural Language Understanding/Processing, Machine Learning along with search technologies such as SOLR/Lucene, tf/idf and relevance ranking, to extract contextually correct entity and verb semantics from speech and apply them to real world solutions across millions of connected homes.
 
 
 
'''About you'''
 
 
 
* Education Level: Bachelors Degree or Equivalent
 
* Field of Study: Computer Science, Engineering
 
* Extensive experience using Java technologies including J2SE, XML/XSLT, Apache Jakarta components and other open source software.
 
* Experience with statistical/modeling techniques such as CRF, HMM, SVM, KNN.
 
* Experience with Topic Classification, Parsing, Narrative Thread analysis, parts of speech tagging, Sphinx, metadata extraction.
 
* Experience with machine learning and/or algorithms.
 
* Experience with Hibernate, MySQL and/or NoSQL, preferably Hadoop/HBase.
 
* Experience with search technologies such as SOLR/Lucene and/or recommender systems.
 
* Experience with and understanding of Unix systems (RHEL) desirable.
 
* Experience in Agile development methodologies.
 
* Strong problem solving ability with excellent written/verbal communication and presentation skills.
 
 
 
 
 
If you are interested in this position and you think you might have what it takes, send your resume to brian_curtis@cable.comcast.com.
 
 
 
 
 
 
 
 
 
==NLP Research Scientist - Nuance Communications, Inc. (Sunnyvale, CA Research Group)==
 
* Employer: Nuance Communications, Inc.
 
* Rank or Title: NLP Research Scientist
 
* Specialty: Computational Linguistics, Natural Language Processing, Dialog Systems
 
* Location: Sunnyvale, CA, USA
 
* Deadline: Applications accepted until position is filled
 
* Date Posted: November 20th, 2012
 
* Contact email: Jennifer.Garvale@nuance.com
 
 
 
'''General Description'''
 
 
 
Nuance is the world-wide leader in voice technologies. We are now making substantial research and development investments to add natural language processing capabilities to our speech infrastructure. We are expanding our new Silicon Valley Natural Language Research laboratory. The goal of this group is to develop the next generation of intelligent, conversational agents. We seek research scientists with the following backgrounds:
 
 
 
* Dialog processing
 
* Discourse and anaphora resolution
 
* Multimodal generation
 
* Parsing
 
* Entity recognition
 
* Morphology
 
* Multilingual NLP
 
* Semantic interpretation
 
 
 
'''Responsibilities'''
 
 
 
* Ownership of a major component of the conversational system.
 
* Conduct research on the dialog, generation, or reasoning components, and incorporate the latest advances from major conferences in the field.
 
* Adapt existing components within Nuance and from previous research in the field to a new problem space and domain.
 
* Understand the trade-offs between multiple competing approaches, and choose the ones that are likely to have future impact on the company's products.
 
* Design components in a way that will generalize across domains. Minimize the code change and human effort needed for the system to work in a new domain.
 
* Collaborate with other scientists and engineers inside and outside of the team.
 
* Patent or publish experimental results or designs when appropriate.
 
 
 
'''Education/Experience'''
 
* Ph.D. in computer science, computational linguistics, linguistics, or another technical field with a focus on natural language processing.
 
* Solid track record in both projects and publications for natural language processing.
 
* Solid implementation skills in C++, Java, scripting languages.
 
* Knowledge of both statistical and rule-based methods for natural language processing.
 
 
 
 
 
Interested candidates should contact Jennifer Garvale at Jennifer.Garvale@nuance.com.  For additional information about the technical aspects of the position, feel free to contact Joel Tetreault at Joel.Tetreault@nuance.com. 
 
 
 
 
 
 
 
==Postdoctoral Fellowship - Natural Language Processing==
 
* Employer: University of Cincinnati and Cincinnati Children's Hospital Medical Center
 
* Rank or Title: Postdoctoral Fellow - Natural Language Processing
 
* Specialty: Computational Linguistics, Natural Language Processing, Natural Language Generation
 
* Location: Cincinnati, OH, USA
 
* Deadline: Applications accepted until position is filled
 
* Date Posted: November 9th, 2012
 
* Contact email Imre.Solti@cchmc.org
 
 
 
'''Position and Requirements'''
 
Are you a recent PhD graduate or getting ready to graduate with a degree in computational linguistics, computer science, artificial intelligence or closely related field? Do you want to apply your computational skills, machine learning and NLP experience to solve real world challenges to help patients by automating the clinical decision making? Do you have excellent command of both written and oral English, and first author peer reviewed journal publications?
 
 
 
If the answers are yes and you would like to join our team of seven dedicated researchers, programmers and annotators then please, send your most recent CV, a brief research statement and three publications in PDF file format to: Imre.Solti@cchmc.org (include "Postdoctoral Fellow - ACL Wiki" in the subject line).
 
 
 
We provide competitive salaries and excellent benefits. We will sponsor H1B visas for qualified candidates as necessary.
 
 
 
'''About the Institution'''
 
Cincinnati Children's has over one million physician-patient encounters a year and is the second largest recipient of NIH funding among children hospitals. The hospital has over 12,000 employees. The Division of Biomedical Informatics manages a state-of-the-art 500+ CPU computing cluster. The research of the Solti Lab is funded from institutional and external (NIH) grants.
 
 
 
 
 
== Research Programmer position - speech and language processing ==
 
* Employer: University of Minnesota
 
* Location: Minneapolis, Minnesota, USA
 
* Deadline: open until filled
 
* Date posted: November 7, 2012
 
* Duration: Minimum 2 years committment
 
* Informal inquiries can be sent to Serguei Pakhomov at spakh001@gmail.com
 
 
 
'''General Description'''
 
The College of Pharamcy at the University of Minnesota is seeking a talented, pro-active and innovative individual for a Research Programmer position to work on several projects in Center for Clinical and Cognitive Neuropharmacology (C3N). C3N is engaged in conducting interdisciplinary research focused on cognitive effects of medications and neurodegenerative disorders such as Alzheimer’s disease. Computerized assessment is used to measure these cognitive effects. The successful candidate for this position will be responsible for a variety of computer-related tasks including creating and maintaining innovative computer-based neuropsychological testing applications that involve spontaneous speech and language collection and analysis. The successful candidate will also be expected to interact with graduate and undergraduate students on specific programming and research projects to meet the needs of the Center.
 
 
 
'''Skills and characteristics'''
 
 
 
* Education: Master’s degree in computer science, electrical engineering, computational linguistics or equivalent combination of training and experience
 
 
 
* Required Skills: Excellent analytical, technical and problem-solving skills. Deep understanding and experience with audio and speech processing. Strong application programming skills in C/C++,  Java, Python and/or Perl programming languages. Familiarity with speech recognition toolkits and APIs (e.g., HTK, Sphinx, KALDI, SRILM), acoustic analysis tools (e.g., Praat) and good understanding or experience with speech recognition and analysis technology.
 
 
 
* Preferred skills and characteristics: Familiarity with natural language processing (NLP) techniques and toolkits (e.g., NLTK). Experience with programming applications for mobile devices. Familiarity with computerized or paper-and-pencil neuropsychological testing.
 
 
 
* Other: The successful candidate will be a self-motivated and proactive individual, a good communicator interested in working in an academic environment. Participating in research and experimentation leading to scientific publication are not required but would be highly encouraged and supported.
 
 
 
If you are someone who has the necessary skills and thrives on working in an exciting and dynamic research environment, please send us a letter stating your interest and qualifications, and a resume. Please use this website to apply: https://employment.umn.edu/applicants/jsp/shared/position/JobDetails_css.jsp?postingId=576008.
 
 
 
 
 
 
 
== One Postdoctoral Position In Statistical Machine Translation - Sapienza University of Rome (Italy) ==
 
* Employer: Sapienza University of Rome
 
* Location: Rome, Italy
 
* Deadline: 18th October 2012
 
* Date Posted: 01st October 2012
 
* Starting date: 1st December 2012
 
* Duration: 1+1 years
 
* Salary: 35000-50000 euros per annum, depending on qualifications. Note that this type of research contract is exempt from most taxes (e.g., 40000 euros per annum corresponds to around 2600 euros net per month)..
 
* Informal inquiries can be sent by email to Roberto Navigli (navigli@di.uniroma1.it).
 
 
 
One position of POSTDOCTORAL RESEARCH FELLOW in Natural Language Processing is open in the Department of Computer Science of the Sapienza University of Rome, with a specific focus on statistical machine translation for Asian languages. The position is part of a 5-year ERC Starting Grant on multilingual Word Sense Disambiguation funded by the European Research Council (ERC) and headed by Prof. Roberto Navigli (see http://lcl.uniroma1.it/multijedi for details). The successful candidate will participate in a frontier research project and will work in the stimulating environment of a leading and highly-active research team comprising 2 faculty members, 2 post-docs and 6 Ph.D. students.
 
 
 
'''REQUIREMENTS/QUALIFICATIONS'''
 
 
 
* Ph.D. in Computer Science, Natural Language Processing or Computational Linguistics.
 
* Strong publication record in Statistical Machine Translation. Publication record in lexical semantics is a plus.
 
* Willingness to coordinate and supervise part of the research work of the ERC project.
 
* Ability to work in a collaborative environment, with a strong commitment to achieving research goals.
 
* Fluent English. Proficiency in at least two major Asian languages. Knowledge of Italian is NOT a requirement.
 
* Solid programming skills.
 
 
 
'''HOW TO APPLY'''
 
 
 
Please send a detailed CV and contact details for up to three references to Roberto Navigli (navigli@di.uniroma1.it). Please include the job reference (LCL3-2012) in the subject line.
 
 
 
'''ABOUT LA SAPIENZA'''
 
 
 
The Sapienza University of Rome is a seven-century-old university in the heart of Rome. It is one of the largest universities in Europe, with around 150,000 students. Its Faculty of Information Engineering, Informatics and Statistics (that includes the Department of Computer Science) is one of the youngest, most energetic and scientifically active environments at the Sapienza. The Sapienza University is an equal opportunity employer.
 
 
 
'''ABOUT THE COMPUTER SCIENCE DEPARTMENT'''
 
 
 
The Department of Computer Science is a modern, well-equipped research institution with a top-class faculty and a strong Ph.D. program. The Department comprises 44 faculty members (among whom 3 ERC grant holders), 15 postdocs and around 30 Ph.D. students. The successful candidate will be based in Rome, one of the most beautiful cities in the world. The Department is situated just beside the main Sapienza University campus and is in easy walking distance of San Lorenzo, a nice lively area with lots of bookshop-cafes, bars and restaurants. Prospective candidates should not be afraid of the language barrier, as Italians are in general very friendly.
 
 
 
==Postdoc or Research Associate - Natural Language Processing==
 
* Employer: IHMC (www.ihmc.us)
 
* Rank or Title: Research Associate - Natural Language Processing
 
* Specialty: Computational Linguistics, Natural Language Processing, in particular dialogue processing
 
* Location: Ocala, FL
 
* Deadline: Applications accepted until position is filled
 
* Date Posted: September 26th, 2012
 
* Contact email ywilks@ihmc.us
 
 
 
'''About Us'''
 
IHMC (www.ihmc.us) is a not-for-profit research institute of the Florida University System and is affiliated with several Florida universities.
 
Researchers at IHMC pioneer technologies aimed at leveraging and extending human capabilities. These systems fit the human and machine components together in ways that exploit their respective strengths and mitigate their respective weaknesses. The design and fit of computational prostheses require a broader interdisciplinary range than is typically found in one organization, thus IHMC staff includes computer scientists, cognitive psychologists, neuroscientists, physicians, philosophers, engineers and social scientists of various stripes, as well as some researchers who resist all attempts to classify them.
 
Current active research areas include: knowledge modeling and sharing, adjustable autonomy, robotics, advanced interfaces and displays, communication and collaboration, computer-mediated learning systems, intelligent data and language understanding, software agents, expertise studies, work practice simulation, knowledge representation, and other related areas.
 
IHMC faculty and staff collaborate extensively with industry and government to develop science and technology that can be enabling with respect to society's broader goals. IHMC researchers receive funding (current funding in force exceeds $25,000,000) from a wide range of government and private sources. IHMC research partners have included: DARPA, NSF, NASA, Army, Navy, Air Force, NIH, DOT, IDEO, Nokia, Sun Microsystems, Microsoft, Boeing, Lockheed, and SAIC, among others.
 
 
 
The candidate will be appointed on a new  project on dialogue processing, due to start in the coming months and run for one year initially, with extensions expected. The aim of the project is to produce a prototype conversational Companion-in-an-iPad for a brain-damaged patient in a domestic setting. Ocala, Florida is an excellent location, close to Florida’s major university and about an hour from both coasts. IHMC is housed in an excellent, state of the art building in the city center.
 
 
   
 
   
Required:
+
'''Required Minimum Qualifications:''' <br/>
 
+
* PhD., with training in Computational Linguistics, Linguistics, or an allied field
▪ Natural language processing / computational linguistics background. Ideal: dialogue applications experience (in NLP not ASR),
+
* Advanced graduate coursework in computational linguistics (natural language processing or speech processing), linguistics, or language science broadly
 
+
* Publication record and plan for research and grant seeking activities
▪ Substantial skills in processing corpora. Ideal: Java skills and standard statistical procedures.
+
* Ability to contribute in meaningful ways to our commitment to cultural diversity, pluralism, and individual differences
 
 
▪ Ph.D. in computational linguistics or some equivalent in terms of experience in natural language processing or related areas.
 
 
 
Skills and Experience:
 
 
 
▪ 3+ plus years experience in natural language processing / computational linguistics in industry or large scale academic research project.
 
 
 
▪ Expertise in at least some of the following specific NLP areas and topics: question answering, lexical semantics, collocations, disambiguation, multi-word expressions, (shallow) parsing, named entity recognition, lexical acquisition, RDF-style data, speech-language interfaces, information extraction, text classification, evaluation methodologies.
 
 
 
▪ Familiarity with existing data resources and tools: Wordnet, GATE, Nuance ASR, NLTK, Weka, and similar tools.
 
 
 
▪ Ideal: experience with ontologies, RDF, other semantic web resources or tools.
 
 
 
Apply to Yorick Wilks at: ywilks@ihmc.us
 
 
 
 
 
== NLP Research Scientist - Pacific Northwest National Laboratory ==
 
 
 
NLP Research Scientist wanted for work impacting National Security
 
Company: Pacific Northwest National Laboratory
 
Job ID:  301731  http://www.jobs.pnnl.gov/
 
Location:  PNNL - Richland, WA
 
Contact: jill.schroeder@pnnl.gov
 
 
 
This position requires significant contributions to the development and evolvement of natural language processing research at PNNL. The incumbent will possess skills in both natural language processing and software design and development. Expertise in natural language processing should include one or more applications including, but not limited to, information extraction, knowledge base population, machine reading, sentiment analysis and social media analytics. Software development skills should include, but are not limited to, object oriented programming and development, data modeling, building demonstrable and functional prototypes, and contributing to deployment-ready software.
 
 
 
In carrying out these duties, the incumbent will be responsible for maintaining strategic alliances with specified clients, managing individual or small team assignments for multiple projects, performing assignments with minimal oversight, working effectively within interdisciplinary development teams, and contributing to proposals, publications and presentations.
 
 
 
Specific responsibilities include:
 
- apply computational linguistics approaches and algorithms
 
- contribute to the translation of client requests and needs into a set of project requirements and tasks
 
- contribute to software design
 
- construct functional applications and prototypes using PHP, Perl, Python and Java
 
- perform algorithmic development and implementation, especially as they pertain to NLP
 
- evaluate natural language processing methods and results
 
- develop client server and database aware applications
 
- design and implement graphical user interfaces
 
- develop on Linux and Windows environments
 
- effectively manage individual tasks, schedule, workload, budget, and deadlines
 
- contribute to technical presentations and demonstrations of designs, prototypes and operational software to existing and potential clients; group, division, and sector managers
 
- contribute to or lead efforts in publishing research
 
- help grow the natural language processing business portfolio through proposal writing and client engagement
 
 
 
 
 
Responsibilities & Accountabilities:
 
 
 
This position reports to the Technical Group manager for Knowledge Discovery and Informatics within PNNL’s National Security Directorate, and is responsible for work activity as assigned by PNNL project managers for both internal and external clients. The incumbent is expected to develop knowledge of the goals of any projects to which they are assigned and the clients they support. The incumbent is expected to maintain a customer-service focus commensurate with this position.
 
 
 
The incumbent normally receives task instructions from their project managers, which are performed with minimal oversight. The incumbent will work both as task lead, and as a staff member under the direction of project managers and senior software scientists. The incumbent will be expected to attend regular project meetings and KDI group meetings. The incumbent may also be expected to attend offsite team meetings with other team members, clients, and users.
 
 
 
A level II scientist contributes to the completion of project milestones by leading specific tasks of the project to meet scope, schedule and budget. Level II scientists are contributing professionals who are building a professional reputation for their technical expertise in NLP. They are expected to continue to develop their technical expertise and knowledge, and develop new skills.  In addition, strong contributions to the technical content of proposals will be made.
 
 
 
A level III scientist will lead small to moderate research projects, contribute to the completion of programs and projects, and mentor other staff members. Level III scientists will be skilled professionals able to apply existing NLP methods to new work and will maintain skills consistent with the state of the art in NLP.  Level III scientists will generate ideas for new proposals and lead the development of technical content for small to medium proposals, and will contribute to scoping, scheduling and budgeting for projects.  . 
 
Minimum Requirements 
 
Level II:  
 
A Bachelor's degree with 2-3 years experience or a Master's degree with 0-2 years experience or a Ph.D. is required.  Expected to contribute professionally, building a professional reputation for technical expertise.  Fully applying and interpreting standard theories, principles, methods, tools and technologies.  All staff at the Pacific Northwest National Laboratory must be able to demonstrate the legal right to work in the United States.
 
 
 
Level III:
 
A Bachelor's degree with at least 5 years experience or a Master's degree with 3 years experience or a Ph.D. with 1-2 years experience is required.  Must be a skilled professional who applies a broad basis of existing theories, principles, and concepts to a specialty field.  All staff at the Pacific Northwest National Laboratory must be able to demonstrate the legal right to work in the United States. 
 
Qualifications 
 
Professional Expertise: Expertise in NLP algorithm development and strong software design and development skills.  
 
 
 
Work-related Experience:
 
- Demonstrated ability and willingness to perform as a team member on multiple projects simultaneously and work effectively in a fast-paced, dynamic team environment with high expectations for quality.
 
- Experience leading project teams in research, design and development a plus.
 
 
 
Breadth of Relevant Specialized Knowledge and Skills:
 
- Well-developed oral and written communication skills, including ability to convey complex technical information accurately.
 
- Above-average client interaction skills including the ability to quickly understand a client’s business needs and communicate at the proper level of detail
 
- Proficient in the use of Windows, Macintosh, and Linux environments 
 
Preferred Education/Credential 
 
A PhD in computational linguistics is preferred.
 
 
 
Level II:
 
PhD in computational linguistics, natural language processing or related field within the last 5 years or Masters of Science in computer engineering, computer science or related field and 1+ years of experience in NLP within the last 5 years
 
 
 
Level III PREFERRED:
 
PhD in computational linguistics, natural language processing or related field and 1-2 years of experience in NLP within the last 5 years  or Masters of Science in computer engineering, computer science or related field and + years of experience in NLP within the last 5 years 
 
Equal Employment Opportunity 
 
Pacific Northwest National Laboratory (PNNL) is an Affirmative Action / Equal Opportunity Employer and supports diversity in the workplace.  All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital or family status, sexual orientation, gender identity, or genetic information.  All staff at the Pacific Northwest National Laboratory must be able to demonstrate the legal right to work in the United States. 
 
Other Information 
 
This position requires the ability to obtain a federal security clearance in a timely manner.  Which requires: 
 
* US Citizenship
 
* Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance 10 CFR 710, Appendix B.
 
* Drug Testing:  All Security Clearance (L or Q) positions will be considered by the Department of Energy to be Testing Designated Positions which means that they are subject to applicant, random, and for cause drug testing.  In addition, applicants must be able to demonstrate non-use of illegal drugs for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP).
 
 
 
Note: Applicants will be considered ineligible for security clearance processing by the U.S. Department of Energy until non-use of illegal drugs for 12 consecutive months can be demonstrated.
 
 
 
== Faculty Positions (open rank) in multiple areas, particularly Biomedical NLP / Text Mining, The Ohio State University (Columbus, OH, USA) ==
 
* Employer: The Ohio State University, Dept. of Computer Science & Engineering and Dept. of Biomedical Informatics
 
* Rank or Title: Assistant, Associate, or Full Professor
 
* Specialty: Multiple openings, including targeted hire in Biomedical Natural Language Processing / Text Mining
 
* Location: Columbus, OH USA
 
* Deadline: Review of applications will begin in November and continue until the positions are filled
 
* Date Posted: August 30, 2012
 
* Contact email or link to website: http://www.cse.ohio-state.edu/department/positions.shtml
 
 
 
The Computer Science and Engineering Department at the Ohio State University seeks faculty candidates for multiple tenured or tenure-track appointments at the assistant, associate or full professor level. The department is slated for significant growth as part of a multi-year expansion in size and scope, including targeted faculty hires in core areas as well as in areas that bridge CS with other disciplines. The specific searches being conducted this year include:
 
 
 
* One targeted position, open rank, in the area of big data, broadly defined. These include, but are not limited to, applicants that have core training in databases, systems, data analytics, or cloud computing, with experience in managing and analyzing big data stores.
 
* One targeted position, open rank, in the area of cybersecurity, broadly defined. We are specifically interested in applicants with research interests in network security, physical layer/information theoretic security, cyberphysical systems, data privacy, cryptography, or programming language security.
 
* One targeted position, open rank, at the interface of computer science and mathematics broadly defined. We are specifically interested in researchers working in theoretical computer science, scientific computing, or complex systems.
 
* Multiple targeted positions, open rank, jointly searched with the Department of Biomedical Informatics. Priority consideration will be given to applicants whose research interests lie in the processing of biomedical text (e.g. NLP or text mining) as well as those interested in the multi-scale modeling and visualization of high-throughput and/or high-content molecular or image data. Outstanding applicants in other areas at the intersection of biology, clinical science, informatics, and computer science will also be considered.
 
* In addition to the above targeted searches the department is conducting a search for an additional position (open rank) that is open to all areas of computer science and engineering.
 
 
 
The department is committed to enhancing faculty diversity; women, minorities, and individuals with disabilities are especially encouraged to apply.
 
 
 
Applicants should hold or be completing a Ph.D. in CSE or a closely related field, have a commitment to and demonstrated record of excellence in research, and a commitment to excellence in teaching.
 
 
 
To apply, please submit your application via the online database. The link can be found at: https://www.cse.ohio-state.edu/cgi-bin/portal/fsearch/apply.cgi.
 
 
 
Review of applications will begin in November and will continue until the positions are filled.
 
 
 
The Ohio State University is an Equal Opportunity/Affirmative Action Employer.
 
 
 
== Postdoctoral Position in Natural Language Processing in Academia Sinica (Taipei, Taiwan) ==
 
 
 
* Employer: Institute of Information Science, Academia Sinica
 
http://www.sinica.edu.tw
 
 
 
http://www.iis.sinica.edu.tw
 
* PI: Lun-Wei Ku (Language Processing Group)
 
http://www.iis.sinica.edu.tw/pages/lwku/index_en.html
 
 
 
http://nlg18.csie.ntu.edu.tw:8080/lwku/lwku.html
 
 
 
* Rank or Title: Post Doctorial Researcher - Natural Language Processing
 
* Specialty: Computational Linguistics, Natural Language Processing, Information Retrieval, Machine Learning
 
* Location: Taipei, Taiwan
 
* Deadline: open until filled
 
* Date Posted: August 21st, 2012
 
* Start Date: before October, 2012 or after April, 2013
 
* Duration: 1+1+1 years
 
* Contact email: lwku@iis.sinica.edu.tw
 
 
 
'''REQUIRED'''
 
 
 
Ph.D. in computational linguistics / natural language processing or related areas.
 
 
 
Natural language processing / computational linguistics background.
 
Substantial skills in programming and processing large scale corpora.
 
 
 
Ideal: Java skills and standard statistical procedures.
 
 
 
'''SKILLS AND EXPERIENCE'''
 
 
3+ plus years experience in natural language processing / computational linguistics in industry or large scale academic research project.
 
Expertise in at least some of the following specific NLP areas and topics: question answering, lexical semantics, collocations, terminology extraction, disambiguation, multi-word expressions, (shallow) parsing, named entity recognition, lexical acquisition, paraphrasis acquisition, information extraction, text classification, evaluation methodologies, sentiment analysis.
 
Familiarity with existing data resources and tools: Wordnet, POS taggers, parsers, SVMLight, Weka, and similar tools.
 
 
 
Ideal: with experience of interests in processing Asia language (ex. Chinese)
 
 
 
'''PAYMENT'''
 
 
   
 
   
Around 1900~2000 USD/Month, depends on the currency rate.
+
'''Required Application Documents:'''<br/>
 +
Cover Letter, Curriculum Vitae or Resume, List of References, Research Statement
 
   
 
   
'''HOW TO APPLY'''  
+
'''How To Apply:'''<br/>
 
+
Please apply at: [http://careers.rit.edu/staff http://careers.rit.edu/staff]. Click the link for search openings and in the keyword search field, enter the title of the position or 3599BR.
Apply to Lun-Wei Ku at: lwku@iis.sinica.edu.tw. Please provide your CV, publication list and contact information.
 
 
 
Please also note the date you wish to start the job, and send your documents at your earliest convenience so we can review them asap.
 
 
 
 
 
 
 
== Two Postdoctoral Positions in Natural Language Processing at the Sapienza University of Rome ==
 
* Employer: Sapienza University of Rome
 
* Location: Rome, Italy
 
* Deadline: open until filled
 
* Date Posted: 16th August 2012
 
* Starting date: fall/winter 2012
 
* Duration: 1+1+1 years
 
* Salary: 30000-45000 euros per annum, depending on qualifications. Note that this type of research contract is exempt from most taxes (e.g., 40000 euros per annum corresponds to around 2600 euros net per month).
 
* Informal inquiries can be sent by email to Roberto Navigli (navigli@di.uniroma1.it).
 
 
 
Two positions of POSTDOCTORAL RESEARCH FELLOW in Natural Language Processing are open in the Department of Computer Science of the Sapienza University of Rome. The positions are part of a 5-year ERC Starting Grant funded by the European Research Council (ERC) and headed by Prof. Roberto Navigli (see http://lcl.uniroma1.it/multijedi for details). The successful candidates will participate in a frontier research project on multilingual lexical semantics and will work in a stimulating environment of a leading and highly-active research team including 2 faculty members, 1 postdoc and 6 Ph.D. students.
 
 
 
'''REQUIREMENTS/QUALIFICATIONS'''
 
 
 
* Ph.D. in Computer Science, Natural Language Processing or Computational Linguistics.
 
* Strong publication record in Computational Linguistics/Natural Language Processing (see below).
 
* Willingness to coordinate and supervise part of the research work of the ERC project.
 
* Ability to work in a collaborative environment, with a strong commitment to achieving research goals.
 
* Fluent English. Knowledge of Italian is NOT a requirement.
 
* Solid programming skills: Java and practical expertise with standard NLP tools are required, knowledge of Perl/Python is a plus.
 
 
 
Experience in research project management is a plus.
 
 
 
'''SPECIFIC REQUIREMENTS'''
 
 
 
* POSITION #1 (LCL1-2012): research record in computational lexical semantics, large-scale knowledge acquisition and validation, open information extraction, or data-intensive machine learning
 
* POSITION #2 (LCL2-2012): research record in statistical machine translation, unsupervised acquisition of bilingual/multilingual lexicons, or cross-lingual methods for NLP
 
 
 
'''HOW TO APPLY'''
 
 
 
Please send a detailed CV and contact details for up to three references to Roberto Navigli (navigli@di.uniroma1.it). Please include the job reference (LCL1-2012 or LCL2-2012) in the subject line.
 
 
 
'''ABOUT SAPIENZA'''
 
 
 
The University of Rome "La Sapienza" is a seven-century-old university in the heart of Rome. It is one of the largest universities in Europe, with around 150,000 students. Its Faculty of Information Engineering, Informatics and Statistics (that includes the Department of Computer Science) is one of the youngest, most energetic and scientifically active environments at Sapienza. The Sapienza University is an equal opportunity employer.
 
 
 
'''ABOUT THE COMPUTER SCIENCE DEPARTMENT'''
 
 
 
The [http://w3.uniroma1.it/dipinfo/english/index.asp Department of Computer Science] is a modern and well-equipped research institution with a top-class faculty and a strong Ph.D. program. The Department comprises 44 faculty members (among whom 3 ERC grant holders), 15 postdocs and around 30 Ph.D. students. The successful candidate will be based in Rome, one of the most beautiful cities in the world. The Department is situated in a nice lively area with lots of cafes, bars, restaurants, and at walking distance from the city centre. Prominent candidates must not be afraid of the language barrier, as Italians are in general very friendly.
 
  
== Engineer with NLP / ML/ IR background - Curata (Cambridge, MA) ==
+
== Postdoctoral Research Fellow: Automated Text Analysis - University of Michigan ==
  
'''Curata, Inc.'''
+
* Employer: University of Michigan
Curata, Inc. provides easy-to-use marketing solutions for content curation and content marketing. Curata's product, Curata, allows marketers to easily find, organize and share content on specific issues or topics in order to establish thought leadership, own industry conversations and drive qualified web traffic. Curata was founded in 2007 and is headquartered in Cambridge, Massachusetts. For more information, visit www.curata.com.
+
* Title: Research Fellow
 +
* Specialty: Postdoctoral Research Fellow: Automated Text Analysis
 +
* Location: Ann Arbor, Michigan, United States
 +
* Deadline: March 12, 2018, desired start June 2018
 +
* Date posted: February 12, 2018
 +
* [http://careers.umich.edu/job_detail/153763/postdoctoral_research_fellow_automated_text_analysis Official Job Listing - Application Page]
  
'''Role Description'''
+
'''How to Apply''' <br/>
We are looking for an individual who enjoys building and shipping code as an engineer, first and foremost, but also enjoys prototyping new product ideas leveraging natural language processing, information retrieval, and machine learning skills. You are a fit if you enjoy experimenting with a large text corpus, innovating new product concepts, and ultimately packaging and shipping your work.
+
A cover letter is required for consideration for this position and should be included as the first page of your CV.  The cover letter should outline your specific interest in the position and outline skills and experience that directly relates to this position.
  
In the past two years, our customer base, comprising of marketing, information services, and knowledge management professionals, have curated millions of pieces of content through our complex content procurement and processing pipeline. We release new code many times a day, and have fun continually optimizing and enhancing our product. As a start-up, we need someone who can match the high energy and enthusiasm of our team.
+
'''Job Summary''' <br/>
 +
A generously funded project (2016-2021) welcomes applicants with interest in and expertise in automated text analysis. The project, M-Write, brings together researchers from writing studies, the natural sciences, and computer programming to investigate how Writing-to-Learn pedagogies promote conceptual learning by students in large-enrollment gateway courses. Students write in response to carefully crafted assignments, participate in automated peer review, and then revise their drafts. Approximately 10,000 students have already participated in M-Write courses, which means that there is already a large corpus of student writing and peer review responses, with more being added each semester. We seek a specialist in automated text analysis to join the research team.  Goals include principled corpus compilation, analysis, and development of corpus-driven algorithms to support student learning of key concepts highlighted in assignments.
  
Technologies in our stack include Linux, Django, Python, git, MySQL, jQuery, Sphinx, and memcached.
+
This position will be a 12-month Post-Doctoral Fellowship beginning in June 2018 with possibility of renewal. The salary is negotiable.
  
 
'''Responsibilities'''
 
'''Responsibilities'''
 +
* Retrieve and create corpora for NLP and associated linguistic analysis
 +
* Develop and test systems for identifying students who appear to lack key concepts as defined by lexical and grammatical structures, discourse analysis, and possible sentiment analysis
 +
* Design a data warehouse that will facilitate the ability to collect, manage, and archive data including student interviews, student surveys, student writing samples, and academic and demographic data for students in order to conduct research leading to peer-reviewed publications, and future external funding
 +
* In collaboration with other project staff collect, manage, and archive data including student interviews, student surveys, student writing samples, and  academic and demographic data for students in order to conduct research that could lead to peer-reviewed publications
 +
* Organize, synthesize, and analyze project data, and write co-authored papers with project PIs for peer-reviewed articles
  
* Prototyping concepts and working with engineering team to see them through deployment.
+
'''Required Qualifications''' <br/>
* Suggesting new product concepts.
+
Ph.D. in computational linguistics, natural language processing, machine learning, cognitive linguistics, sentiment analysis or related area. Previous research experience in textual analysis in terms of syntax (e.g. parts of speech tagging), semantics (e.g. topic segmentation) and discourse analysis is essential. Research in statistical modeling is also requiredStrong computer science skills are essential, and data warehouse design skills are highly desired. Background in the theory and research of writing-to-learn pedagogies and experience with educational technology in natural language processing are desired but not required.
* Optimizing machine learning algorithms through iterative experimentation and parameter tuning.
 
* Architect, build and maintain flexible and highly scalable web applications
 
* Participate in the full engineering life cycle from design through implementation and deployment.
 
* Think in terms of the end-user and design accordingly
 
* Actively contribute to product design and feature selection discussions
 
 
 
'''Preferred Skills and Experience'''
 
* Significant research experience with natural language processing (NLP), information retrieval, machine learning or related fields.
 
* Strong software development skills, preferably with web applications.
 
* Versatile attitude towards technology -- ready and willing to learn and grow on the job.
 
 
 
'''Location:''' Kendall Square, Cambridge, MA / Boston
 
 
 
'''Type:''' Full-Time
 
 
 
'''Contact:''' engmgt.jobs@curata.com
 
 
 
== Research Fellowship at University of Aberdeen ==
 
 
 
* Employer: University of Aberdeen
 
* Job Title: Research Fellow in Natural Language Generation
 
* Location: Aberdeen, UK
 
* Deadline: 23rd July 2012
 
* Date Posted: 11th July 2012
 
* [http://www.abdn.ac.uk/jobs/index.php Application Website: click on "external applicants", search for the post with reference number 1260664
 
* Contact email: c.mellish@abdn.ac.uk
 
 
 
To support our ambitious research programme we are looking to appoint a postdoctoral research fellow to do research on natural language generation in the MIME project. MIME (see http://www.dotrural.ac.uk/mime/ ) investigates ways to underpin reconfigured rural emergency response services, by examining how technology could support responders to incidents such as road accidents. It is exploring the use of networked monitors to support decision making and information management in the management of casualties and the automatic generation of handover reports from responders when more expert help arrives.
 
The successful candidate will have a good knowledge of natural language processing techniques in general (at the postgraduate level) and preferably some practical experience with NLG. The candidate will have a PhD or be about to complete a PhD in Computer Science/ Artificial Intelligence or a relevant discipline. Enthusiasm for digital technology and innovation relevant to society and the economy is essential as is the ability to work in a cross-disciplinary team including colleagues in computer science and engineering.
 
 
 
This post is funded by the EPSRC and it is anticipated that the project activities will be completed within 9 months of the agreed start date. This appointment will be made subject to the usual terms and conditions of employment of the University.
 
 
 
== Executive Director at University of Maryland ==
 
 
 
** Employer:  University of Maryland, Center for Advanced Study of Language (CASL)
 
** Title:  Executive Director
 
** Location:  College Park, MD
 
** Deadline:  Open until filled
 
** Date Posted:  July 2, 2012
 
** Link to website:  http://jobs.umd.edu/applicants/Central?quickFind=57086
 
** Contact email:  tswallst@umd.edu
 
 
 
The University of Maryland, College Park, invites applications for the position of Executive Director of the Center for Advanced Study of Language (CASL). Since its establishment in 2003, CASL’s mission has been to conduct cutting-edge research that results in improved performance on foreign language and analysis tasks relevant to the work of government language professionals. Visit www.casl.umd.edu for more information about CASL.  
 
 
 
'''DUTIES:''' The Executive Director (ED) has leadership responsibility for research, operations, strategic planning, and compliance with university and government requirements and regulations associated with CASL’s designation as a University Affiliated Research Center (UARC). The ED’s duties include developing and implementing the US Government-approved research agenda; developing and managing external relations and outreach to academia, industry, and government for purposes of collaborative research and consultation; and overseeing relevant UARC-designated activities and outreach, collaboration, education, policy and evaluation. The ED ensures the hiring and retention of the best researchers and research managers in CASL’s core compentencies and other relevant disciplines as well as highly qualified financial, information technology, operations, logistics, and security support staff. In addition to aligning CASL’s strategic plan with its mission to meet the needs of clients, the ED provides leadership in identifying opportunities for partnering and collaborating with academic departments and other research centers on campus. The ED reports to the Vice President for Research and directly supervises the directors of CASL’s various units. 
 
 
 
'''QUALIFICATIONS:''' Candidates must have an advanced degree, preferably a Ph.D., in a discipline related to one of CASL’s core competencies (e.g., Less Commonly Taught Languages and Cultures; Second Language Acquisition; Computational Linguistics; Linguistics; Cognitive or Social Psychology; Cognitive Science or Cognitive Neuroscience), with a distinguished record of scholarly achievement and/or leadership in one or more areas relevant to the research foci of the center. Candidates' experience, research and publications should show evidence of ability to tackle complex, interdisciplinary research and to work collaboratively with a range of institutions and researchers. Experience working closely with US government and/or industry colleagues in non-academic settings is essential. Candidates must qualify for an academic appointment either as a tenured professor or as a professor of the practice in a department consistent with their background.
 
 
 
'''Candidates must hold U.S. citizenship and be willing to obtain the appropriate security clearance.'''
 
 
 
'''TO APPLY:''' For best consideration, applicants should submit a letter of application, CV, and contact information for three professional references online at http://jobs.umd.edu click on “Faculty” (or direct link:  http://www. jobs.umd.edu/applicants/Central?quickFind=57086)  by Monday, August 20, 2012.  Address questions to the search committee chair, Professor Thomas S. Wallsten, at tswallst@umd.edu
 
  
The University of Maryland, College Park, actively subscribes to a policy of equal employment opportunity, and will not discriminate against any employee or applicant because of race, age, sex, color, sexual orientation, physical or mental disability, religion, ancestry or national origin, marital status, genetic information, or political affiliation. Minorities and women are encouraged to apply. The University of Maryland offers an excellent benefits package which includes:  health benefits, retirement plans, generous leave package, flexible spending accounts, tuition remission, and long-term, disability, and life insurance. Please visit the University’s web page at http://www.uhr.umd.edu/benefits/ to see a full list of benefits and the providers.  
+
'''Background Screening'''<br/>
 +
The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks will be performed in compliance with the Fair Credit Reporting Act.
  
== Several Positions in Data2Text (Natural Language Generation) ==
+
'''U-M EEO/AA Statement''' <br/>
 +
The University of Michigan is an equal opportunity/affirmative action employer.
  
* Employer: Data2Text
 
* Job title: Natural Language Generation Engineer, Analytics Engineer, Lead Engineer
 
* Specialty: natural language generation, analytics
 
* Location: Aberdeen, Scotland, UK
 
* Deadline: 29 June 2012
 
* Date posted: 8 June 2012
 
* Link to website: http://www.data2text.com/careers
 
  
Data2Text is a spinout from the University of Aberdeen's Natural Language Generation (NLG)
+
== CU Boulder: Postdoc in Machine Learning with an Emphasis on Speech and Language Processing ==
research group.  We are looking to hire several people; please see our website for details
 
http://www.data2text.com/careers
 
  
This is a great opportunity for people who are keen on getting NLG technology
+
* Employer: University of Colorado Boulder
out into the real world.  In addition to the advertised positions, we're happy to talk
+
* Title: Postdoctoral Associate
to people who are knowledgeable about NLG and keen to develop commercial applications,
+
* Specialty: Machine Learning, Speech and Language Processing
but whose profiles do not fit the advertised positions.
+
* Location: Boulder, Colorado, United States
 +
* Deadline: Ongoing, desired start August 2018
 +
* Date posted: February 9, 2018
 +
* Contact: [mailto:sidney.dmello@colorado.edu Dr. Sidney D’Mello]
  
Information inquiries (from the ACL community) should be sent to Ehud Reiter
+
'''Postdoc in Machine Learning with an Emphasis on Speech and Language Processing''' <br/>
(e.reiter@abdn.ac.uk or ehud.reiter@data2text.com)
+
(Department of Computer Science and Institute of Cognitive Science at the University of Colorado Boulder)
  
== Associate Research Scientist (SPEECH) at Educational Testing Service ==
+
The Department of Computer Science at the University of Colorado Boulder anticipates hiring a full time postdoctoral research associate starting August 2018 for one year and renewable for a second (and third) year. The position includes a competitive salary commensurate with experience and full benefits. Review of applications will begin immediately and continue until the position is filled.
  
* Employer: Educational Testing Service (www.ets.org)  
+
The successful candidate will conduct research in machine learning applied to speech and language processing to solve challenging, but impactful, real-world problems. He/she will participate in the development and application of advanced machine learning techniques (e.g., deep recurrent neural networks) to multi-party speech data collected in authentic contexts (e.g., classroom discourse, small group collaborative problem solving).  
* Job Title: Associate Research Scientist (SPEECH)
 
* Location: Princeton, NJ
 
* Deadline: Open until filled
 
* Date Posted: 16-May-2012
 
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124337&type=True&cfcend Application Website]
 
* Contact email: dyanchuk@ets.org
 
  
'''JOB DESCRIPTION'''
+
The candidate will work under the supervision of Dr. Sidney D’Mello and will play a collaborative and co-leadership role in a vibrant research team encompassing researchers in Computer Science and the Institute of Cognitive Science.
  
ETS's Research & Development division has an opening for a Speech research scientist in the NLP and Speech group. The Group currently consists of about 15 Ph.D. level research scientists in areas related to NLP and speech. Its main focus is on foundational research as well as on development of new capabilities to automatically score written and spoken test responses in a wide range of ETS test programs including TOEFL(R)iBT and GRE(R).
+
The position offers a unique postdoctoral training experience and unsurpassed publishing opportunities within multi-department and multi-institution grant-funded projects. The postdoc will be encouraged to develop new technical skills, strengthen their research portfolios via peer-reviewed publications, gain interdisciplinary experience by working with a diverse team, develop leadership skills by mentoring students, and gain expertise in co-authoring grant proposals.
  
 +
'''Required'''
 +
* Ph.D. in Computer Science, Artificial Intelligence, or a related field at the time of hire
 +
* Research experience in advanced machine learning (e.g., deep learning, probabilistic graphical models)
 +
* Evidence of a strong publication record in the aforementioned areas
  
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''
+
'''Desired'''
 +
* Research experience in one or more of the following areas: acoustic signal processing, automatic speech recognition, natural language understanding, discourse modeling
  
* Provide scientific and technical skills in conceptualizing, designing, obtaining support for, conducting, managing, and disseminating results of research projects in the field of speech technology, or portions of large-scale research studies or programs in the same field.
+
'''Job Details'''
+
* One year initial position with possible extension to a second and third year based on performance and availability of funds
* Develop and/or modify NLP theories to conceptualize and implement new capabilities in automated scoring and NLP systems to improve assessments, learning tools and test development practices.
+
* Desired start date is August 2018. However, start date is negotiable
 +
* Competitive salary with benefits commensurate with qualifications
  
* Apply scientific, technical and software engineering skills in designing and conducting research studies and capability development in support of educational products and services.  
+
'''How to Apply''' <br/>
 +
Please complete the following form: https://tinyurl.com/CUPostDoc1 and upload the following required documents: (1) cover letter, (2) current CV, and (3) one or two representative publications '''as a single PDF''' document named '''FirstNameLastName.pdf'''.
  
* Develop and oversee the conduct of selected portions of research proposals and project budgets.
+
Additional documents will be required from candidates selected for further review after the initial documents are received: (4) – The document uploaded for Proof of Degree can be a Transcript which shows the date the degree was conferred; Copy of Diploma; or official letter from the Registrar or the Dean of the School or College conferring the degree; and (5) – List of references
  
* Design and conduct complex scientific studies functioning as an expert in major facets of the projects.
+
'''About the University of Colorado and the City of Boulder'''<br/>
 +
The University of Colorado Boulder is a widely recognized and respected research university in the U.S. Its 11 research institutes house more than 900 researchers, students, and staff, making a major contribution to the research infrastructure of the university and local economy. Boulder is one of the 34 public research institutions belonging to the Association of American Universities (AAU). It contributes to the local community via research partnerships, education opportunities, and development projects.
  
* Assist in the conduct of research projects by accomplishing directed tasks according to schedule and within budget.
+
The city of Boulder hosts thriving tech industries, supports a renowned entrepreneurial community, has some of the region's best restaurants, and is home to many federal research labs. There are endless ways to enjoy Boulder's 300-plus days of sunshine a year — from the hundreds of miles of hiking and biking trails to some of the country's finest microbrews. It's also quick and easy to get around by bus or bike and a quick 25 mile ride to nearby Denver.
 
 
* Participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles.
 
 
 
* Develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.
 
  
 +
'''Special Instructions to Applicants''' <br/>
 +
The University of Colorado Boulder conducts background checks on all final applicants being considered for employment, prior to the issuance of an offer letter. The University of Colorado Boulder is committed to providing a safe and productive learning, living and working community. To achieve this goal, we conduct background investigations for all final applicants being considered for employment. Background investigations include a criminal history record check, and an EPLS (Excluded Parties List System) check. The Immigration Reform and Control Act requires that verification of employment eligibility be documented for all new employees by the end of the third day of work.
 
   
 
   
'''EXPERIENCE AND SKILLS'''
+
The University of Colorado is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained faculty and staff. In compliance with applicable laws and in furtherance of its commitment to fostering an environment that welcomes and embraces diversity, the University of Colorado does not discriminate on the basis of race, color, creed, religion, national origin, sex (including pregnancy), disability, age, veteran status, sexual orientation, gender identity or expression, genetic information, political affiliation or political philosophy in its programs or activities, including employment, admissions, and educational programs. Inquiries may be directed to the Boulder Campus Title IX Coordinator by calling 303-492-2127. In accordance with the Americans with Disabilities Act, alternative formats of this ad can be provided upon request for individuals with disabilities by contacting Human Resources at [mailto:adacoordinator@colorado.edu adacoordinator@colorado.edu].
  
EDUCATION
 
  
Ph.D. in Language Technologies, Natural Language Processing, Computer Science or Electrical Engineering, with strong emphasis on speech technology and preferably some education in linguistics is required.
+
== Full-time Researchers, IBM Research - Almaden ==
 +
* Employer: [http://research.ibm.com/labs/almaden/index.shtml IBM Research - Almaden]
 +
* Title: Research Staff Member
 +
* Speciality: Natural Language Processing, Computational Linguistics, Machine Learning, or related areas
 +
* Location: San Jose, California, USA
 +
* Deadline: June 1, 2018
 +
* Date posted: January 31, 2018
 +
* Contact: Yunyao Li (yunyaoli {at} us.ibm.com) and/or Lucian Popa (lpopa {at} us.ibm.com)
  
  
EXPERIENCE
+
IBM Research - Almaden is looking for talented researchers with background in Natural Language Processing and Machine Learning to join the Natural Language Processing, Entity Resolution and Discovery Department. We are actively building the next-generation 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 industry-specific knowledge bases are the foundation of many emerging AI services and applications.
  
Evidence of substantive research experience and/or experience in developing and deploying speech capabilities is required. Demonstrable contributions to new and/or modified theories of speech processing and their implementation in automated systems. Demonstrable expertise in the application of speech recognition systems and fluency in at least one major programming language (e.g., Java, Perl, C/C++, Python).
+
Such a platform needs to support the entire life cycle for knowledge engineering including:
 +
* Creation, maintenance and evolution of domain schema 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, including text analytics, entity resolution and integration, cleansing, data transformations and machine learning
 +
* 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 significant 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
  
   
+
The research is being conducted in close collaboration with the IBM Watson division and multiple global IBM Research labs (Australia, India, and Zurich), with focus around demonstrating scalable knowledge base construction in multiple industry domains (e.g., Healthcare, Financial and consumer domains).  
'''APPLYING'''
 
  
Interested parties can apply for the position through the following website:
+
We are currently looking for talented researchers with interest in system design and implementation as well as experience in one or more areas relevant to the knowledge engineering life cycle as described above, particularly those with background in Natural Language Processing and Machine Learning.  You will participate in cutting edge research, build at industrial scale, and keep connected to the larger research community by regularly publishing papers and partnering with universities.
  
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124337&type=True&cfcend
+
'''Required'''
 +
* Bachelor's degree or equivalent  in Computer Science, related technical field or equivalent practical experience.
 +
* Programming experience in one or more of the following: Java, C, C++ and/or Python.
 +
* Experience in Natural Language Processing, Computational Linguistics, Machine Learning, Large-Scale Data Management, Data Mining or Artificial Intelligence
 +
* Contribution to research communities and/or efforts, including publishing papers at conferences such as ACL, EMNLP, NIPS, AAAI, ICML, SIGMOD, VLDB, and KDD.
  
If there are any questions, please contact: Dave Yanchuk (609) 406-5291 dyanchuk@ets.org
+
'''Preferred'''
 +
* PhD in Computer Science, related technical field or equivalent practical experience.
 +
* Relevant work experience, including experience working within the industry or as a researcher in a lab.
 +
* Ability to design and execute on research agenda.
 +
* Strong publication record.
  
== Associate Research Scientist (NLP) at Educational Testing Service ==
 
  
* Employer: Educational Testing Service (www.ets.org)
+
== PhD-level Researchers, AIPHES, Darmstadt/Heidelberg ==
* Job Title: Associate Research Scientist (NLP)
 
* Location: Princeton, NJ
 
* Deadline: Open until filled
 
* Date Posted: 16-May-2012
 
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124335&type=True&cfcend Application Website]
 
* Contact email: dyanchuk@ets.org
 
  
'''JOB DESCRIPTION'''
+
* Employer: [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt] or [http://www.cl.uni-heidelberg.de/ Ruprecht Karls University Heidelberg], Germany
 +
* Title: Doctoral researcher
 +
* Speciality: Natural Language Processing, Computational Linguistics, Machine Learning, or related areas
 +
* Location: Darmstadt or Heidelberg
 +
* Deadline: February 11, 2018
 +
* Date posted: January 21, 2018
 +
* Contact: [https://public.ukp.informatik.tu-darmstadt.de/aiphesrecruitment/ AIPHES recruitment form]
  
ETS's Research & Development division has an opening for an NLP research scientist in the NLP and Speech group. The Group currently consists of about 15 Ph.D. level research scientists in areas related to NLP and speech. Its main focus is on foundational research as well as on development of new capabilities to automatically score written and spoken test responses in a wide range of ETS test programs including TOEFL(R)iBT and GRE(R).
+
PhD positions in DFG Graduate School AIPHES: Natural Language
+
Processing and Computational Linguistics
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''
 
  
* Provide scientific and technical skills in conceptualizing, designing, obtaining support for, conducting, managing, and disseminating results of research projects in the field of Natural Language Processing (NLP), or portions of large-scale research studies or programs in the same field.  
+
The Research Training Group [http://www.aiphes.tu-darmstadt.de/ “Adaptive Information Preparation from Heterogeneous Sources” (AIPHES)], which has been established in  
 +
2015 at Technische Universität Darmstadt and at Ruprecht Karls
 +
University Heidelberg is filling several positions for three years,
 +
starting as soon as possible. Positions remain open until filled.
  
* Develop and/or modify NLP theories to conceptualize and implement new capabilities in automated scoring and NLP systems to improve assessments, learning tools and test development practices.  
+
The positions provide the opportunity to obtain a doctoral degree in
 +
the research area of the training group with an emphasis, e.g., in
 +
opinion and sentiment - extrapropositional aspects of discourse, in
 +
natural language processing tasks such as structured summaries of
 +
complex contents, in content selection and classification enhanced by
 +
reasoning, or a related area. The group will be located in Darmstadt
 +
and Heidelberg. The funding follows the guidelines of the DFG, and the
 +
positions are paid according to the E13 public service pay scale.
  
* Apply scientific, technical and software engineering skills in designing and conducting research studies and capability development in support of educational products and services.  
+
The goal of AIPHES is to conduct innovative research in knowledge
 +
acquisition on the Web in a cross-disciplinary context. To that end,
 +
methods in computational linguistics, natural language processing,
 +
machine learning, network analysis, computer vision, and automated
 +
quality assessment will be developed. AIPHES will investigate a novel,
 +
complex scenario for information preparation from heterogeneous
 +
sources. It interacts closely with end users who prepare textual
 +
documents in an online editorial office, and who should therefore
 +
profit from the results of AIPHES. In-depth knowledge in one of the
 +
above areas is desirable but not a prerequisite.
  
* Develop and oversee the conduct of selected portions of research proposals and project budgets.
+
Participating research groups at Technische Universität Darmstadt are
 +
Knowledge Engineering (Prof. Fürnkranz), Ubiquitous Knowledge
 +
Processing (Prof. Gurevych), Machine Learning (Prof. Kersting), Visual
 +
Inference (Prof. Roth), Algorithmics (Prof. Weihe). Participants at
 +
Ruprecht Karls University Heidelberg are the Institute for
 +
Computational Linguistics (Prof. Frank) and the Natural Language
 +
Processing Group (Prof. Strube) of the Heidelberg Institute for
 +
Theoretical Studies (HITS).
  
* Design and conduct complex scientific studies functioning as an expert in major facets of the projects.
+
AIPHES emphasizes close contact between the students and their
 +
advisors with regular joint meetings, a co-supervision by professors
 +
and younger scientists in the research groups, and an intensive
 +
exchange as part of the research and qualification program. The
 +
training group has the goal of publishing its results at leading
 +
scientific conferences and will actively support its doctoral
 +
researchers in this endeavor. The software that will be developed in  
 +
the course of AIPHES should be put under the open source Apache
 +
Software License 2.0 if possible. Moreover, the research papers and
 +
datasets should be published with open access models.
  
* Assist in the conduct of research projects by accomplishing directed tasks according to schedule and within budget.
 
  
* Participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles.
+
'''Prerequisites'''
  
* Develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.
+
We are looking for exceptionally qualified candidates with a degree in
 +
Computer Science, Computational Linguistics, or a related study
 +
program. We expect ability to work independently, personal commitment,
 +
team and communication abilities, as well as the willingness to
 +
cooperate in a multi-disciplinary team. Desirable is experience in
 +
scientific work. Applicants should be willing to work with
 +
German-language texts, and, if necessary, to acquire German language
 +
skills during the training program. We specifically invite
 +
applications of women. Among those equally qualified, handicapped
 +
applicants will receive preferential consideration. International
 +
applications are particularly encouraged.
  
+
The [https://www.informatik.tu-darmstadt.de/ Department of Computer Science of TU Darmstadt] is regularly
'''EXPERIENCE AND SKILLS'''
+
ranked among the top ones in respective rankings of German
 +
universities. [http://www.cl.uni-heidelberg.de/ The Institute for Computational Linguistics (ICL)] of the
 +
Ruprecht Karls University Heidelberg is one of the largest centers
 +
for computational linguistics both in Germany and internationally. The
 +
ICL and the NLP department of the HITS jointly run the graduate
 +
program [http://semproc.cl.uni-heidelberg.de/ “Semantic Processing”] with an integrated research training
 +
group “Coherence in language processing: Semantics beyond the
 +
sentence”, which has a close connection to the topics in computational
 +
linguistics of AIPHES.
  
EDUCATION
+
Applications should include a motivational letter that refers to one
 +
or two of the planned research areas of AIPHES, a CV with
 +
information about the applicant’s scientific work, certifications of
 +
study and work experience, as well as a thesis or other publications
 +
in
 +
electronic form. Application materials must be submitted via the
 +
following form by February 11th, 2018:
  
Ph.D. in Natural Language Processing, Computational Linguistics, Computer Science or Electrical Engineering, with strong emphasis on NLP technology and preferably some education in linguistics is required.
+
https://public.ukp.informatik.tu-darmstadt.de/aiphesrecruitment/  
 
EXPERIENCE
 
 
Evidence of substantive research experience and/or experience in developing and deploying NLP capabilities is required. Demonstrable contributions to new and/or modified theories of NLP and their implementation in automated systems are required. Demonstrable and practical expertise with NLP tools and fluency in at least one major programming language (e.g. java, perl, c/c++, python) is also required. Familiarity with the application of NLP tools to educational problems, and a very strong statistical background and a solid experience with machine learning algorithms would be an asset.
 
  
+
In addition, applicants should be prepared to solve a programming and
'''APPLYING'''
+
a reviewing task in the first two weeks after their application.
 
 
Interested parties can apply for the position through the following website:
 
 
 
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124335&type=True&cfcend
 
 
 
If there are any questions, please contact: Dave Yanchuk (609) 406-5291 dyanchuk@ets.org
 
  
== Associate Research Engineer at Educational Testing Service ==
 
  
* Employer: Educational Testing Service (www.ets.org)
+
== Associate Research Scientist, UKP Lab, TU Darmstadt ==
* Job Title: Associate Research Engineer
 
* Location: Princeton, NJ
 
* Deadline: Open until filled
 
* Date Posted: 15-May-2012
 
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124339&type=True&cfcend Application Website]
 
* Contact email: dyanchuk@ets.org
 
  
'''JOB DESCRIPTION'''
+
* Employer: [https://www.ukp.tu-darmstadt.de/ UKP Lab], [https://www.informatik.tu-darmstadt.de/ Technische Universität Darmstadt], Germany
 +
* Title: Associate Research Scientist
 +
* Specialty: Interactive text analysis
 +
* Location: Darmstadt
 +
* Deadline: February 16, 2018
 +
* Date posted: January 21, 2018
 +
* Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de]
  
ETS's Research & Development division has an opening for a researcher in the NLP & Speech Group. The Group currently consists of about 15 Ph.D. level research scientists in areas related to NLP and speech. Its main focus is on foundational research as well as on development of new capabilities to automatically score written and spoken test responses in a wide range of ETS test programs including TOEFL(R)iBT and GRE(R).
+
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
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''
+
(PostDoc- or PhD-level; for an initial term of two years)
* Assist in the implementation of speech technology and natural language processing (NLP) components of medium- to large-scale, complex research projects for ETS researchers, testing program areas, and external clients. Consult with research scientists in the application, modification, and documentation of such systems using established technologies.
 
  
* Work effectively in a team setting and take an active role in contributing to team discussions and decisions.
+
in the areas of Interactive Text Analysis, the UKP Lab is looking for
 +
a researcher with a background in Natural Language Processing and
 +
Software Development to work on the project [https://www.ukp.tu-darmstadt.de/research/current-projects/inception/ INCEpTION] funded by
 +
the German Research Foundation (DFG). The project is developing a
 +
comprehensive interactive text analysis platform to improve efficiency
 +
and to enable new ways of exploring, annotating and analyzing
 +
large-scale text corpora through the use of assistive features based
 +
on machine-learning.  
  
* Analyze, design, modify, develop, document and implement technologies for executing medium- to large-scale, complex Speech technology and NLP research and development tasks. Identify unexpected problems in the application of Speech and NLP tools, and develop solutions.
+
We ask for applications from candidates from Computer Science with a
 +
specialization in Natural Language Processing, Text Mining, or Machine
 +
Learning, preferably with expertise in research and development
 +
projects, and strong communication skills. The successful applicant
 +
will work on research and development activities regarding text
 +
annotation by end-users (researchers, analysts, etc.), information
 +
recommendation,  and create the corresponding text analysis platform.  
 +
Ideally, the candidates should have demonstrable experience in  
 +
designing complex (NLP and/or ML) systems (frontend and backend), in
 +
applying NLP-related Machine Learning-based methods, and strong
 +
programming skills especially in Java. Experience with neural network
 +
architectures and demonstrable engagement in open source projects are
 +
strong pluses.
  
* Consult with research supervisory staff on the development of technologies for executing medium- to large-scale, complex Speech technology and NLP research and development tasks. Contribute to the implementation and support of new Speech and NLP methodologies to support research system development.
+
The UKP Lab is a research group comprising over 30 team members who
 +
work on various aspects of Natural Language Processing (NLP), with a
 +
rapidly developing focus on Interactive Machine Learning and who
 +
provide a range of high-quality open source software packages for
 +
interactive and automatic text analysis to research and industry
 +
communities.
  
* Assist in the preparation of NLP development components of proposals and cost/resource estimates.
+
UKP’s wide cooperation network both within its own research community
 +
and with partners from research and industry provides an excellent
 +
work environment. The Department of Computer Science of TU Darmstadt
 +
is regularly ranked among the top ones in respective rankings of
 +
German universities. Its Research Training Group “Adaptive Information
 +
Processing of Heterogeneous Content” (AIPHES) funded by the DFG
 +
emphasizes NLP, machine learning, text mining, 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 standards, cooperative
 +
work style and close interaction of team members.
  
* Maintain continuing awareness of recent advances in speech and natural language processing, machine learning, and software development methodologies.
+
Applications should include a detailed CV, a motivation letter and an
 +
outline of previous working or research experience (if available).  
  
* Implement components of technical documentation of NLP software systems, solutions and results.
+
Applications from women are particularly encouraged. All other things
 +
being equal, candidates with disabilities will be given preference.
 +
Please send the applications to:
 +
[mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de] by 16.2.2018. The positions
 +
are open until filled. Later applications may be considered if the
 +
position is still open.
  
* Attend area-wide staff training and development sessions.
+
== 3-year research postdoc position in computational social science at Bocconi University, Milan ==
 
'''EXPERIENCE AND SKILLS'''
 
  
EDUCATION
+
*Employer: Bocconi University, marketing department, supervisor Dirk Hovy
 +
*Title: Postdoc
 +
*Specialty: NLP, neural networks, computational social science
 +
*Location: Milan, Italy
 +
*Starting date: March 1, 2018
 +
*Deadline: Apply by noon January 22, 2018
 +
*Date Posted: December 29, 2017
 +
*Contact: dip.mkt@unibocconi.it
  
A Masters degree in Computer Science, NLP, Language Technology, Computational Linguistics, Linguistics or a closely related field is required.
+
'''Project Title:''' Neural methods for text analysis in the social sciences
 
EXPERIENCE
 
  
A strong programming background, in languages such as Java, Python, Perl, and C, and facility with computational algorithms are essential. Coursework in statistics and experience in using machine learning toolkits are highly desirable. Experience with speech processing software (e.g. HTK, Praat, Matlab) is desirable.
+
'''Project Description:''' Text is a common medium in all social sciences, offering insights into human behavior. However, text is complex and encodes many different aspects at the same time. In order to analyze text for social science projects, we need to develop the right tools, based on natural language processing. These tools needs to scale to large amounts of text, allow for exploration and predictive modeling, and allow a multitude of analyses (classification, regression, clustering, etc). Neural-network approaches to NLP have lately demonstrated all of these properties, but have rarely been applied to social science problems. The goal of this project is to establish a baseline in tools and techniques that can be widely applied, and that can form the basis of future research and training.
 +
The full description of the position and the application details can be found at:
 +
https://www.unibocconi.eu/wps/wcm/connect/d61571c4-b0cf-4aad-a25c-b963801595bf/Call-ADR-09H1-MKT.pdf?MOD=AJPERES&CVID=m1g59An&CVID=m1g59An&CVID=m1g59An&CVID=m1g59An
  
OTHER REQUIREMENTS
+
'''Responsibilities:''' The candidate would work predominantly on research, i.e., the implementation and testing of model architectures, data mining and preparation, and dissemination of results. Teaching opportunities (for additional salary) are available.
* Knowledge of UNIX and Windows computing environments.
 
  
* Familiarity with UNIX tools and scripting languages.
+
'''Scientific sector:''' 09/H1 Information processing systems
  
* Familiarity with algorithms, methods and data structures in common use in the processing of speech and language data.
 
  
* Excellent verbal and written communication skills.
 
  
 
'''APPLYING'''
 
  
Interested parties can apply for the position through the following website:  
+
== Teaching Faculty in Human Language Technology: Johns Hopkins University ==
  
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=124339&type=True&cfcend
+
*Employer: Johns Hopkins University
 +
*Title: Senior Lecturer, Associate Teaching Professor or Teaching Professor
 +
*Location: Baltimore, MD
 +
*Deadline: Apply by January 31, 2018 for full consideration, but applications will be accepted until positions are filled
 +
*Date Posted: December 21, 2017
 +
*Contact: clspsearch@clsp.jhu.edu
  
If there are any questions, please contact: Dave Yanchuk (609) 406-5291 dyanchuk@ets.org
+
The Center for Language and Speech Processing (CLSP) at Johns Hopkins University seeks outstanding candidates for a fulltime teaching position. The search is open to all ranks, including Senior Lecturer, Associate Teaching Professor and Teaching Professor.
  
== Junior Researcher at Austrian Research Institute for Artificial Intelligence (OFAI) ==
+
This position will be central to CLSP’s new Certificate in Human Language Technology, part of the master’s degree programs in Computer Science (CS) and the Electrical and Computer Engineering (ECE). The successful candidate will be involved in new course development, graduate teaching, graduate academic advising, supervising master's thesis projects, and managing various aspects of the Certificate program. Although this is primarily a teaching position, there is also potential for research effort.
  
* Employer: Austrian Research Institute for Artificial Intelligence
+
Successful candidates will join the faculty of CLSP, one of the largest and most visible academic organizations in speech processing and NLP. For more than two decades, CLSP has advanced the state of the art in research, hosted international research teams (the annual JSALT workshops), and produced hundreds of PhD alumni. Our graduates are found throughout most major information processing companies and in government related research organizations.
* Group: Language Technology
 
* Title: Junior Researcher
 
* Requirements:
 
** Permission to work within the European union
 
** Excellent English language skills; knowledge of the German language is a plus
 
** A degree in computational linguistics, computer science, or a related area (PhD is a plus, but experienced graduate students will be considered)
 
** Experience in statistical natural language processing (knowledge of unsupervised machine learning is a plus)
 
** Programming skills in C++, Perl and/or Java
 
** Strong ability to work independently and drive an original research agenda
 
* Deadline:  June 15, 2012
 
* Date Posted: May 14, 2012
 
* Contact: harald.trost@ofai.at
 
  
The Language Technology group at the OFAI, Vienna, is looking for a motivated post-doctoral researcher or a well experienced graduate student to fill a research position within the basic research project "Machine Learning Techniques for Modeling of Language Varieties".  
+
The primary appointment will be in the academic department most appropriate for the candidate within the Whiting School of Engineering, such as Electrical and Computer Engineering, Computer Science or another appropriate department. Applicants for this position must have a Ph.D. in Computer Science, Electrical and Computer Engineering or a closely related field, commitment to teaching, and excellent communication skills. Familiarity with some aspect of Human Language Technology or machine learning is strongly preferred. The university has instituted a nontenure track career path for fulltime teaching faculty culminating in the rank of Teaching Professor.
  
The position involves basic research on issues related to data sparsity in machine translation between non-central language pairs. In particular, morphological closeness shall be exploited and bootstrapping methods shall be employed to counter the data sparsity. Further information is available at http://varieties.ofai.at.
+
Johns Hopkins is a private university known for its commitment to academic excellence and research. CLSP, as well as the CS and ECE departments, are part of the Whiting School of Engineering. We are located in Baltimore, MD in close proximity to Washington, DC and Philadelphia, PA. See the center webpage https://www.clsp.jhu.edu/ for additional information.
  
A basic gross salary of EUR 40,000-45,000 per anno will be offered depending on the experience of the candidate.
+
Applicants should apply online at  http://apply.interfolio.com/47959.  Salary and rank will be commensurate with qualifications and experience. Applicants should submit a curriculum vitae, a teaching statement and complete contact information for at least three references.  
  
OFAI encourages its researchers to publish results in the top venues (ACL, EMNLP, etc.) and provides travel funding towards this end.
+
Applicants should apply by January 31, 2018 for full consideration, but applications will be accepted until positions are filled. Questions should be directed to clspsearch@clsp.jhu.edu.
  
Please send your applications, including a CV and a brief research statement, to Harald Trost <harald.trost@ofai.at>. The position is to be filled as soon as possible, not later than September 1st, 2012, and will terminate with the end of the project (December 31st, 2013).
+
Johns Hopkins University is committed to active recruitment of a diverse faculty and student body. The University is an Affirmative Action/Equal Opportunity Employer of women, minorities, protected veterans and individuals with disabilities and encourages applications from these and other protected group members. Consistent with the University’s goals of achieving excellence in all areas, we will assess the comprehensive qualifications of each applicant.
  
About the Austrian Research Institute for Artificial Intelligence (OFAI): Founded in 1984, OFAI is one of Europe's leading non-profit research institutions in AI. Further information is available at http://www.ofai.at.
 
  
About Vienna: Vienna is the Austrian capital and consistently ranked as one of the most livable cities in the world. At over 1,600,000 inhabitants, Vienna is one of the largest cities in the central European region and home to numerous universities and research institutions, providing an intellectually stimulating environment.
 
 
 
== Junior Research Group Leaders at Saarland University ==
 
 
* Employer: Saarland University, Germany
 
* Division: MMCI Cluster of Excellence
 
* Title: Junior Research Group Leaders
 
* Job ID: W490
 
* Specialty: Multimodal Computing and Interaction (incl. Speech and Language Processing)
 
* Location: Saarbrücken, Germany
 
* Deadline:  April 30, 2012
 
* Date Posted: April 4, 2012
 
* Contact: http://www.uni-saarland.de/fileadmin/user_upload/Campus/Service/Stellenausschreibung/Wissenschaftliches_Personal/W490.pdf
 
 
The Cluster of Excellence "Multimodal Computing and Interaction" at Saarland University, Saarbrücken, Germany, seeks applications for a number of new Junior Research Group Leader positions. The Cluster provides a highly interdisciplinary research environment with a strong Computational Linguistics component. One of the Cluster's central research areas is 'Speech and Language Processing'. Group leaders will receive junior faculty status at Saarland University, including the right to supervise Bachelor, Master and PhD students. Junior research groups are equipped with a budget of 80k to 100k Euros per year to cover research personnel and other costs.
 
 
Deadline for applications is April 30th, 2012.
 
 
For the complete announcement see:
 
http://www.uni-saarland.de/fileadmin/user_upload/Campus/Service/Stellenausschreibung/Wissenschaftliches_Personal/W490.pdf
 
 
 
Additional information on the excellence cluster is available on
 
http://www.mmci.uni-saarland.de/
 
 
 
Please feel free to contact for further information any of the PIs (Matthew Crocker, Manfred Pinkal, Hans Uszkoreit) or JRG leaders (Vera Demberg, Caroline Sporleder, Ivan Titov) in the research area. 
 
 
== Scientist Position in Statistical Machine Translation at Microsoft ==
 
 
* Employer: MICROSOFT
 
* Division: Online Services Division
 
* Title: Scientist Position
 
* Job ID: 789594
 
* Specialty: Statistical Machine Translation
 
* Location: Bellevue, WA or Mountain Vew, CA
 
* Deadline: As soon as possible
 
* Date Posted: March 30, 2012
 
* Contact: https://careers.microsoft.com/jobdetails.aspx?ss=&pg=0&so=&rw=1&jid=77908&jlang=EN
 
 
Scientist Position in Statistical Machine Translation
 
 
Research and Development Opportunities for Next Generation Technology at Microsoft
 
 
Do you want to impact billions of people all over the world with speech technology that you create?
 
 
We are looking for PhD level scientists and senior scientists, who will work on research and development problems in statistical machine translation. The candidates with experience in large-scale syntax-based statistical machine translation,
 
weighted finite state transducers, natural language processing and machine learning will be preferred.
 
 
Microsoft is all-in on the Natural User Interface to bring computing to larger audiences in more applications. To drive this mission we are bringing together scientists and engineers in the areas of machine translation, speech recognition, natural language understanding, dialog modeling, machine learning and synthesis to develop and deliver robust, natural and scalable solutions across a rich set of scenarios and languages.
 
 
Join the excitement to be part of the newly formed team of scientists within Microsoft and to impact the lives of billions of people all over the world. We are talking about Bing, Windows, XBOX, Mobile, Exchange Server and Tellme, just to name a few. Microsoft is dedicated to improving everyday life using speech. And not just in a few countries - but around the world.
 
 
 
 
== Reasoning about Agent's Mental States in Dialog and Joint Activity (CMU Silicon Valley) ==
 
 
* Employer: Inst. for the Study of Learning and Expertise at CMU Silicon Valley
 
* Title: Post MS, Post Doc, or above
 
* Specialty: Logic, Reasoning (Abduction/Inference), Production systems, Discourse processes, Reasoning
 
* Location: Mountain Vew, CA
 
* Deadline: As soon as possible
 
* Date Posted: March 21, 2012
 
* Contact: patrick.w.langley@gmail.com
 
 
An ongoing project has an opening for a researcher who will help extend
 
Icarus, a cognitive architecture, to reason about other agents' mental
 
states in the context of dialogues and joint activities. The framework
 
uses a logical formalism to encode knowledge, beliefs, and goals, and
 
it relies on a form of abduction to make plausible inferences. Experience
 
in building reasoning systems that operate over rich representations is
 
essential, and a background in applied logic, knowledge-based systems,
 
and/or cognitive architectures is highly desirable.
 
 
The location of the project will be Carnegie Mellon's Silicon Valley
 
Campus. The start date is negotiable, but the position will be available
 
on May 1, 2012, and the project has funding for another two years.
 
Interested parties should send their curriculum vitae, along with
 
the contact details for two or more references, to Pat Langley
 
<patrick.w.langley@gmail.com>.
 
 
 
== Post-doctoral researcher in metaphor detection and analysis at Illinois Institute of Technology, Chicago, IL ==
 
 
* Employer: Illinois Institute of Technology
 
* Title: Postdoc
 
* Specialty: Computational Linguistics, Natural Language Processing, Metaphor
 
* Location: Chicago, IL
 
* Deadline: As soon as possible
 
* Date Posted: March 13, 2012
 
* Contact: argamon@iit.edu
 
 
The Illinois Institute of Technology Department of Computer Science in Chicago, IL is delighted to announce an opening for a Postdoctoral Research Associate, for a recent Ph.D. in computer science, computational linguistics, or related areas. We seek applicants to work with Prof. Shlomo Argamon in the Linguistic Cognition Laboratory, the PI of a federally-funded project to identify and analyze metaphors in multiple languages.
 
 
The ideal candidate will have a scholarly understanding of computational linguistics and metaphor, be an excellent programmer, and be comfortable with technologies for the analysis of big data. The postdoc will: (a) support development of automated language analysis and text mining for metaphor identification and analysis, (b) help manage the work of graduate research assistants on the project, (c) aid in developing research publications and external funding proposals, and (d) support other research and administration activities in the project.
 
 
Applicants from all areas relevant to the research are encouraged to apply. In addition to the core area of computational linguistics, training in machine learning, statistical analysis, and information retrieval will be helpful. Knowledge of Spanish, Russian, or Farsi is also a plus.
 
 
The position includes a competitive salary plus benefits. It will run through the end of 2012, beginning as soon as possible, with the possibility of a one-year renewal upon satisfactory performance and continued funding.
 
 
Interested candidates should apply via email to Dr. Shlomo Argamon (argamon@iit.edu). Applications should include a CV with cover letter, including the names of three references, giving contact information (email address and phone number) and relationship to the candidate for each reference. Inquiries can similarly be directed to the above email address. Prior to hiring, successful applicants will be required to submit either a transcript/diploma showing the date of an earned Ph.D. degree or a letter from their academic adviser confirming the expectation of the degree by May 2012.
 
 
Review of applications will begin immediately and continue until the position is filled.
 
 
== Post-doctoral position within the area of automatic text summarization at Google Zurich, Switzerland ==
 
 
* Employer: Google
 
* Job title: Postdoc
 
* Specialty: Natural Language Processing, Machine Learning, summarization
 
* Location: Zurich, Switzerland
 
* Deadline: we are looking to fill the position soon
 
* Date posted: 1 March 2012
 
 
A post-doctoral position in the area of automatic text summarization
 
within the RENDER project is available at the Google Switzerland R&D
 
office. RENDER is a EU FP7 research project focused on identifying
 
diversity of opinions, viewpoints, mindsets and backgrounds in texts
 
from different sources: news, (micro) blog streams, and in
 
collaboratively written resources like Wikipedia. More information on
 
the project goals is available at http://render-project.eu/.
 
 
The duration of the post-doctoral contract will be one year, with the
 
possibility of renewing for a second year. This position will allow
 
the candidate to perform research on several NLP-related areas,
 
to interact with the consortium partners and with other Google-internal
 
research and development projects, and to apply the results of the
 
research to real applications with a potentially large impact.
 
 
Requirements:
 
* The candidate should have a Ph.D. in Computational Linguistics or Information Retrieval. Experience with automatic text summarization, machine learning or opinion mining is a plus.
 
* Extensive programming experience in C/C++.
 
* A solid foundation in computer science, with strong competencies in data structures, algorithms, and software design.
 
* Fluency in English.
 
 
Responsibilities:
 
* Perform research in the context of the project (text summarization).
 
* Develop prototypes quickly, and implement industrial-strength production-quality high-volume applications.
 
* Publish the result of the research in top conferences or journals.
 
* Be available to attend project meetings with the partners in the project.
 
 
For applying to this position, please send an e-mail to Enrique
 
Alfonseca (ealfonseca@google.com) including a paragraph on why you
 
think you are a right person for the role, and a brief CV.
 
 
== 4 PhD positions in spoken dialogue systems research ==
 
 
* Employer: Institute of Formal and Applied Linguistics, Charles University in Prague
 
* Job title: 4 PhD positions in spoken dialogue systems research
 
* Specialty: spoken dialogue systems, machine learning, Bayesian methods, and natural language processing
 
* Location: Prague, Czech Republic
 
* Deadline: 1 June 2012
 
* Date posted: 16 February 2012
 
* Link to website: http://ufal.mff.cuni.cz/~jurcicek/jobs
 
 
Applications are invited for 4 PhD fellowships in the area of statistical spoken dialogue systems funded by the Czech Government. The students will join the Institute of Formal and Applied Linguistics, Charles University in Prague, Czech Republic with an anticipated start date of October 1st, 2012.
 
 
Topic description: In recent years, it has been suggested that statistical approach to spoken dialogue system offer a framework to naturally handle inherent uncertainty in the human speech. The two main advantages of statistical methods are increased robustness in noisy conditions and more natural behaviour learned from data. However, the current methods need large corpora effectively preventing these methods to be used for complex dialogue systems occurring in real-life. The successful PhD candidates will investigate and implement statistical models and methods with the aim of increasing the efficiency of the learning process and reducing the need for large corpora. The conducted research will cover areas of spoken language understanding, dialogue management, and natural language processing.
 
 
Skills: Candidates should hold a master degree in a relevant area, such as computer science, mathematics, engineering  or linguistics. A strong mathematical background, excellent programming skills (e.g. C/C++, Java, MATLAB, and various scripting languages under Linux environment), aptitude for creative research and autonomy are expected. Experience in machine learning, Bayesian methods, and natural language processing is a plus.
 
 
The Institute of Formal and Applied Linguistics is a top-level research group working in the area of computational linguistics and natural language processing. During the fellowship, there will be good opportunities to attend international conferences and workshops. The formal applications should be submitted before June 1. Prospective candidates are strongly encouraged to contact Dr Filip Jurcicek (jurcicek@ufal.mff.cuni.cz) as soon as possible to obtain details about the application process, the institute, and the research opportunities.
 
Additional information is available at http://ufal.mff.cuni.cz/~jurcicek/jobs.
 
 
 
== PhD-position in sentiment mining and reputation analysis==
 
 
* Employer: Erasmus University Rotterdam
 
* Job title: PhD-student
 
* Specialty: text mining, sentiment analysis, topic detection, reputation management
 
* Location: Rottterdam, The Netherlands 
 
* Deadline: 1 March 2012
 
* Date posted: 6 February 2012
 
* Link to website: http://www.eur.nl/erasmusstudio/about_erasmus_studio/open_positions
 
 
In the context of the COMMIT project Information Retrieval for Information Services (COMMIT/Infiniti http://www.project-infiniti.nl/), applications are invited for a PhD student position. The research task will be to investigate the Mining of Economic Entities. As currently people easily share their sentiment regarding companies and products, reputation modeling has become increasingly important for commercial and non-commercial organisations. Due to the huge amount of opinions available through the Web, a manual approach for social media analysis for sentiment mining seems unfeasible, while there seems to be a huge potential for content-driven automated approaches. Through the mining of economic entities and the aggregated sentiment based on textual data, the aim is to support decisions on, e.g., product developments, marketing campaigns, etc. The envisaged prototype for a decision support tool will act as an indicator of public sentiment and trends. In addition, the variation in the dynamics of opinion forming for diverging domains such as economic news, political sentiment, and sentiment towards historical events will be studied.
 
The PhD track is embedded in the work of the EUR team working on the Infiniti project (Erasmus School of Economics/Econometric Institute/ Computer Science Group and Erasmus Studio) and the student will be able to collaborate on related topics with PhD students and researchers from other organizations participating in COMMIT. 
 
 
For more information please visit this link: http://www.eur.nl/erasmusstudio/about_erasmus_studio/open_positions
 
 
To apply, send an email with the required documents (cv, motivation, relevant certificates and the names of two referees) to commit.eur@gmail.com.
 
 
== PhD-position in folktale classification and clustering ==
 
* Employer: University of Twente
 
* Job title: PhD-student
 
* Specialty: text classification, document clustering, natural language processing
 
* Location: Amsterdam, The Netherlands / Enschede, The Netherlands
 
* Deadline: 4 March 2012
 
* Date posted: 6 February 2012
 
* Link to website: http://www.utwente.nl/vacatures/?VacatureID=199425
 
 
Applications are invited for a PhD-student in the FACT project (Folktales As Classifiable Texts), funded under the CATCH programme of the Netherlands Organisation for Scientific Research (NWO). This is a multidisciplinary research project involving collaboration between computer science and humanities researchers.  The PhD-student will work on automatic classification of Dutch folktales by their international folktale type  and on unsupervised clustering of folktales, to provide new input for humanities research. For this position, familiarity with the Dutch language is a plus.
 
 
The PhD-student will be employed at the University of Twente, but will spend most of his/her time "on site" at the Meertens Institute in Amsterdam (http://www.meertens.knaw.nl), which maintains a large collection of Dutch folktales (http://www.verhalenbank.nl). The PhD-student will be part of a larger team within the e-Laboratory on Oral Culture at the Meertens Institute.
 
 
For more information and the application form, visit this link: http://www.utwente.nl/vacatures/?VacatureID=199425
 
 
==Research Associate Position at Educational Testing Service==
 
* Employer: Educational Testing Service ([http://www.ets.org www.ets.org])
 
* Job Title: Research Associate
 
* Location: Princeton, NJ
 
* Deadline: Open until filled
 
* Date Posted: 28-Jan-2012
 
* [http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=122972&BUID=2538 Application Website]
 
* Contact email: dyanchuk@ets.org
 
 
'''JOB DESCRIPTION'''
 
 
Educational Testing Service has an opening for a Research Associate position in the Research Coordination and Support Group. The successful candidate will primarily provide support to Research Scientists working on a branch of computer science and computational linguistics known as Natural Language Processing (NLP) by assisting in the management of resources across numerous projects, leading communication efforts both internally and externally, and participating in all phases of research projects, including research design, project management, data collection and analysis. He or she will also collaborate with researchers in responding to external requests for information, external grant applications, and in preparing study results for publication or presentation.
 
 
'''BASIC FUNCTIONS AND RESPONSIBILITIES'''
 
 
* Provide full professional support to and collaborate with a Director of Research; Senior Research Scientists; and Research Scientists.
 
 
* Participate in planning, management, and design of research. Serve as co-investigator in research areas; collaborate on research projects.
 
 
* Plan and manage annotations for a variety of projects.
 
 
* Design and develop plans for data collection; oversee data collection, reduction, and analysis; evaluate availability and usefulness of data; identify and collect additional data necessary for completing research projects.
 
 
* Monitor collection and quality of data; provide comprehensive review of data collected from field sites to ensure completeness and accuracy; oversee entry of data for computer analysis.
 
 
* Design original research instruments and methods and applications of research.
 
 
* Write, rewrite, and edit proposals, professional reports, research instruments, books (or sections thereof), speeches, handbooks, research articles, and correspondence. Specifically, develop standardized materials such as PowerPoint slides, capability descriptions, and research study templates for use in communicating about automated scoring capabilities; develop boilerplate text for external audiences and proposals; and craft proposal text on demand, based on existing standard materials and input from automated scoring researchers.
 
 
* Conduct or assist in direction and management of research projects. Conduct research of his or her own design, under general oversight of assigned supervisor. Manage resources across a wide-range of studies designed to support or enhance automated scoring technologies. Recruit and hire field staff; develop and monitor project budgets; coordinate and supervise field staff and consultants.
 
 
* Conduct literature searches; review current research on research models and methods; review and evaluate ongoing developments in automated scoring research; and evaluate evolving business needs. Perform independent analyses of information by reading, summarizing, and evaluating it preliminary to undertaking research. Update standard materials as needed, based on new developments in research or external conditions.
 
 
* Provide training and consultation on computer and systems applications, including customized annotation systems. Train and instruct staff on methods and procedures for annotation, data presentation, and explain methods of implementation to technical staff.
 
 
* Contact, establish, and develop relationships with research community and with data sources.
 
 
* Arrange and attend conferences and meetings; present research findings at professional meetings.
 
 
'''EXPERIENCE AND SKILLS'''
 
 
EDUCATION
 
 
A Master's degree in linguistics, computer science, and/or natural language processing (NLP) is necessary.
 
 
EXPERIENCE
 
 
The successful candidate will have four years of progressively responsible research experience in linguistics or natural language processing. Candidates must demonstrate the ability to craft high-quality written communications for technical and non-technical audiences and have experience managing a large number of concurrent projects.
 
 
APPLYING
 
 
Interested parties can apply for the position through the following website:
 
 
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=122972&BUID=2538
 
 
If there are any questions, please contact:
 
 
Dave Yanchuk
 
(609) 406-5291
 
dyanchuk@ets.org
 
 
 
==Postdoc Position at HRL Laboratories==
 
* Employer: HRL Laboratories, LLC
 
* Job Title: POST DOC RESEARCH STAFF - Social Media Analysis & Data Mining
 
* Location: Malibu, CA
 
* Deadline: Open until filled
 
* Date Posted: 26-Jan-2012
 
* Contact email: hmoon@hrl.com
 
 
HRL Laboratories, LLC. (http://www.hrl.com) has openings for a postdoctoral researcher position in the area of social media analysis / data mining. HRL laboratories is one of the most innovative research organizations in industry. Overlooking the pacific ocean in the hills above Malibu, California, our beautiful surroundings are matched by our capabilities and commitment to being a world-class research and development lab. We collaborate with top researchers in academia to advance the fields of information and systems sciences, sensors and materials, applied electromagnetics, and microelectronics. Please visit http://www.hrl.com/careers/cars_jobs.html for more information.
 
For job considerations, please send your cover letter and CV to hmoon@hrl.com.
 
 
Job Description:
 
 
EDUCATION DESIRED: Ph.D. in Computer Science, Statistics, EE or related fields
 
 
ESSENTIAL JOB FUNCTIONS: Primary job function is to apply statistical data analysis and text processing techniques to problems and applications in data mining. Tasks will include the development, simulation, evaluation, and implementation of algorithms and models. Additional job functions include solving customer problems, writing invention disclosures, publishing papers, briefing customers, and assisting in marketing HRL expertise.
 
 
EXPERIENCE DESIRED: Research experience in one or more of the following areas: Text processing, sentiment analysis, data mining, web & social media processing, large-scale data processing, and machine learning. Experience developing innovative solutions based upon the application of relevant research results from a wide variety of sources.
 
 
KNOWLEDGE DESIRED: Background in one or more of the following areas: natural language processing, social network analysis, statistical analysis, data mining, strong programming skills, particularly proficient with C/C++, Java, R and/or Matlab. Experience with MapReduce or Hadoop, and proficiency in Spanish/Portuguese language is a plus.
 
 
ESSENTIAL PHYSICAL/MENTAL REQUIREMENTS: Good communication (verbal and written) skills, active participation in R&D team activities is required. Able and willing to occasionally travel.
 
 
SPECIAL REQUIREMENTS (e.g. driver’s license, special tools or restrictions): U.S. citizenship or permanent resident status required.
 
 
We are proud to be an EEO/AA employer M/F/D/V. We maintain a drug-free workplace and perform pre-employment substance abuse testing.
 
 
==Postdoc or Research Associate - Natural Language Processing==
 
* Employer: IHMC (www.ihmc.us)
 
* Rank or Title: Research Associate - Natural Language Processing
 
* Specialty: Computational Linguistics, Natural Language Processing
 
* Location: Ocala, FL
 
* Deadline: Applications accepted until position is filled
 
* Date Posted: January 3rd, 2012
 
* Contact email ywilks@ihmc.us
 
 
'''About Us'''
 
IHMC is a not-for-profit research institute of the Florida University System and is affiliated with several Florida universities.
 
Researchers at IHMC pioneer technologies aimed at leveraging and extending human capabilities. These systems fit the human and machine components together in ways that exploit their respective strengths and mitigate their respective weaknesses. The design and fit of computational prostheses require a broader interdisciplinary range than is typically found in one organization, thus IHMC staff includes computer scientists, cognitive psychologists, neuroscientists, physicians, philosophers, engineers and social scientists of various stripes, as well as some researchers who resist all attempts to classify them.
 
Current active research areas include: knowledge modeling and sharing, adjustable autonomy, robotics, advanced interfaces and displays, communication and collaboration, computer-mediated learning systems, intelligent data and language understanding, software agents, expertise studies, work practice simulation, knowledge representation, and other related areas.
 
IHMC faculty and staff collaborate extensively with industry and government to develop science and technology that can be enabling with respect to society's broader goals. IHMC researchers receive funding (current funding in force exceeds $25,000,000) from a wide range of government and private sources. IHMC research partners have included: DARPA, NSF, NASA, Army, Navy, Air Force, NIH, DOT, IDEO, Nokia, Sun Microsystems, Microsoft, Boeing, Lockheed, and SAIC, among others.
 
 
The candidate will be appointed on a new US Government project on metaphor detection and understanding, due to start in the coming months and run for up to five years. Ocala, Florida is an excellent location, close to Florida’s major university and about an hour from both coasts. IHMC is housed in an excellent, state of the art building in the city center.
 
 
Required:
 
 
▪ Natural language processing / computational linguistics background. Ideal: metaphor and/or machine learning applications
 
 
▪ Substantial skills in processing large scale corpora. Ideal: Java skills and standard statistical procedures.
 
 
▪ Ph.D. in computational linguistics / natural language processing or related areas.
 
 
Skills and Experience:
 
 
▪ 3+ plus years experience in natural language processing / computational linguistics in industry or large scale academic research project.
 
 
▪ Expertise in at least some of the following specific NLP areas and topics: question answering, lexical semantics, collocations, terminology extraction, disambiguation, multi-word expressions, (shallow) parsing, named entity recognition, lexical acquisition, paraphrasis acquisition, information extraction, text classification, evaluation methodologies.
 
 
▪ Familiarity with existing data resources and tools: Wordnet, POS taggers, parsers, LingPipe, SVMLight, NLTK, Weka, and similar tools.
 
 
▪ Ideal: experience with ontologies, RDF, other semantic web resources or tools.
 
 
Apply to Yorick Wilks at: ywilks@ihmc.us
 
 
 
 
 
== Visiting Assistant/Associate/Full Professor - Queens College of CUNY ==
 
* Employer: Queens College of the City University of New York
 
* Location: New York, NY
 
* Deadline: Review of applications to begin on March 1, 2012
 
* Website: http://www.cs.qc.cuny.edu/
 
* Date posted: January 4, 2012
 
  
'''Visiting Assistant/Associate/Full Professor'''
+
== Post-Doctoral Position: Law, Economics, & Data Science, ETH Zurich ==
  
The Department of Computer Science at Queens College of The City University of New York (CUNY) is pleased to announce a visiting faculty position for academic year 2012-2013, beginning September 1.  This is a research-focused temporary position, and we encourage applications from candidates with a successful publication history in machine translation, speech recognition, or other research areas of natural language processing or machine learning.
+
*Employer: Center for Law & Economics, ETH Zurich
 +
*Title: Post-Doctoral Research Fellow
 +
*Location: Zurich, Switzerland
 +
*Deadline: Application review begins Feb 1st 2018; open until filled
 +
*Date Posted: December 20, 2017
 +
*Contact: Elliott Ash ([mailto:e@elliottash.com e@elliottash.com])
  
Both junior and senior researchers are encouraged to apply; compensation and title are commensurate with qualifications and experience.  Candidates are expected to collaborate with members of our current faculty in computational linguistics -- either on existing research projects or on new joint endeavors.  If interested in teaching experience, the visiting faculty member is also invited to teach one course on a topic closely related to his or her research specialty.
 
  
The department's computational linguistics faculty, which include two current NSF CAREER Award winners, participate actively in the Ph.D. programs in computer science and linguistics, based at CUNY Graduate Center. These faculty members have active research grants from the NSF, DARPA, the Army Research Lab, and the Air Force Office of Scientific Research. More information about the growing research community in computational linguistics across CUNY is available on this website: http://nlpatcuny.cs.qc.cuny.edu/
+
'''Description:'''  Applications are invited for postdoctoral research position in a new interdisciplinary research group at Center for Law & Economics, ETH Zurich. The research group in Law, Economics, and Data Science focuses on representing legal and political language as statistical data using tools from natural language processing, and then recovering causal relations between language and outcomes in society and the economy. The postdoc will be involved in all aspects of the research, including project planning, research design, data analysis, presentation of findings at conferences, and preparation of manuscripts for submission to leading peer-reviewed journals. The postdoc will have the opportunity to co-author papers with lab colleagues, work with an array of affiliated faculty from ETH and University of Zurich, and develop independent projects related to these research areas. Organizational and teaching duties are limited to a few hours per week. Our offices are located in downtown Zurich, and the working language is English. The appointment will be for at least one year and up to three years (contingent on satisfactory performance), with flexible starting date beginning July 2018. Salaries are internationally competitive, paid according to ETH standards (https://www.ethz.ch/en/the-eth-zurich/working-teaching-and-research/working-conditions/employment-and-salary.html).
  
Qualifying candidates must have an earned Ph.D. by August 2012 in computer science, linguistics, or a closely related field, with a demonstrated research record in the areas listed above. Also required are the ability to work with Ph.D. students, interest in productive scholarship, teaching and communication skills, and ability to cooperate with others for the good of the institution.
+
'''Qualifications:'''  Applicants should have a PhD in computer science, computational linguistics, machine learning, or a related field. Applicants should have graduate-level expertise in natural language processing and machine learning. Excellent English writing skills are essential.  
  
Candidates should submit a letter of application detailing their teaching, research, and grant writing interests and experience, and a curriculum vitae to:
+
'''How to Apply:'''  Online application available at https://apply.refline.ch/845721/5895/index.html?cid=1&lang=en. Application review will begin on February 1, 2018 and continue until the position is filled.
  
Dr. Matt Huenerfauth, Search Committee Chair
+
== Post-Doctoral Researcher in Computational Linguistics, University of Pennsylvania ==
  
Department of Computer Science  
+
*Employer: Department of Computer and Information Science, University of Pennsylvania
 +
*Title: Post-Doctoral Research Fellow
 +
*Location: Philadelphia, PA
 +
*Deadline: Open until filled
 +
*Date Posted:December 17, 2017
 +
*Contact Mitch Marcus (mitch@cis.upenn.edu)
  
Queens College-CUNY
 
  
65-30 Kissena Blvd.  
+
'''Description:'''  Applications are invited for a postdoctoral fellow research associate position in the Department of Computer and Information Science at the University of Pennsylvania. This is a full time position for 18 months, starting immediately.  
  
Flushing, New York 11365-1597
+
The main aim of this project is to develop new unsupervised algorithms to extract several levels of linguistic structure including morphology, part of speech (POS) tags, and noun phrases from unannotated corpora. The project will exploit many different descriptive properties and constraints of language, all of which are close to universal in applicability. Such so-called universals have been developed across a wide range of often conflicting theoretical frameworks by both theoretical and descriptive linguists over many years. Our project is also inspired by the current understanding of how children acquire their native language, in an unsupervised setting and with relatively small amount of data. We intend to shamelessly exploit them all.
  
matthew.huenerfauth (at) qc.cuny.edu
+
The candidate will work under the supervision of Profs. Mitch Marcus and Lyle Ungar in Computer and Information Science and Prof. Charles Yang in Linguistics.  
  
Email submissions with PDF attachments are preferred. In addition, please arrange for three current letters of reference to be submitted directly by the recommenders.  Review of applications will begin on March 1, 2012, and will continue until the position is filled.
+
'''Qualifications:'''  The candidate should have a very strong background in Natural Language Processing and possess a PhD in either Computational Linguistics or Computer Science with a good publication record. Experience in machine learning, good programming skills, and a good knowledge of modern linguistics are required.  
  
CUNY offers a comprehensive benefits package to employees and eligible dependents based on job title and classification. We are committed to enhancing our diverse academic community by actively encouraging people with disabilities, minorities, veterans, and women to apply.  We take pride in our pluralistic community and continue to seek excellence through diversity and inclusion. EO/AA Employer.
+
'''How to Apply:''' Please email your CV and the names and contact information of three or more references to Mitch Marcus at the email provided below.

Latest revision as of 10:13, 17 February 2018


Postdoctoral Research Scientist: Computational Linguistics - Rochester Institute of Technology

  • Employer: Rochester Institute of Technology
  • Title: Postdoctoral Research Scientist
  • Specialty: Postdoctoral Research Scientist: Computational Linguistics
  • Location: Rochester, New York, United States
  • Deadline: Open until filled
  • Date posted: February 17, 2018
  • Contact: Cecilia O. Alm (coagla@rit.edu)
  • Job listing

We invite applications for an interdisciplinary postdoctoral position with specialization in computational linguistics and/or technical or scientific methods in language science at Rochester Institute of Technology (RIT), in Rochester, NY. This is a one-year position with opportunity for renewal. The applicant should demonstrate a fit with our commitment to collaborate with colleagues across the university on research initiatives in Personalized Healthcare Technology. In addition to engaging in research projects, the right candidate will be able to teach a total of two courses per year - one course each in the College of Liberal Arts and the Golisano College of Computing and Information Sciences at RIT. The teaching assignment may be Computer Science Principles, Introduction to Language Science, Language Technology, Introduction to Natural Language Processing, Science and Analytics of Speech (acoustic and experimental phonetics), Spoken Language Processing (automatic speech recognition and text-to-speech synthesis), Seminar in Computational Linguistics, or another course depending on background.

Required Minimum Qualifications:

  • PhD., with training in Computational Linguistics, Linguistics, or an allied field
  • Advanced graduate coursework in computational linguistics (natural language processing or speech processing), linguistics, or language science broadly
  • Publication record and plan for research and grant seeking activities
  • Ability to contribute in meaningful ways to our commitment to cultural diversity, pluralism, and individual differences

Required Application Documents:
Cover Letter, Curriculum Vitae or Resume, List of References, Research Statement

How To Apply:
Please apply at: http://careers.rit.edu/staff. Click the link for search openings and in the keyword search field, enter the title of the position or 3599BR.

Postdoctoral Research Fellow: Automated Text Analysis - University of Michigan

  • Employer: University of Michigan
  • Title: Research Fellow
  • Specialty: Postdoctoral Research Fellow: Automated Text Analysis
  • Location: Ann Arbor, Michigan, United States
  • Deadline: March 12, 2018, desired start June 2018
  • Date posted: February 12, 2018
  • Official Job Listing - Application Page

How to Apply
A cover letter is required for consideration for this position and should be included as the first page of your CV. The cover letter should outline your specific interest in the position and outline skills and experience that directly relates to this position.

Job Summary
A generously funded project (2016-2021) welcomes applicants with interest in and expertise in automated text analysis. The project, M-Write, brings together researchers from writing studies, the natural sciences, and computer programming to investigate how Writing-to-Learn pedagogies promote conceptual learning by students in large-enrollment gateway courses. Students write in response to carefully crafted assignments, participate in automated peer review, and then revise their drafts. Approximately 10,000 students have already participated in M-Write courses, which means that there is already a large corpus of student writing and peer review responses, with more being added each semester. We seek a specialist in automated text analysis to join the research team. Goals include principled corpus compilation, analysis, and development of corpus-driven algorithms to support student learning of key concepts highlighted in assignments.

This position will be a 12-month Post-Doctoral Fellowship beginning in June 2018 with possibility of renewal. The salary is negotiable.

Responsibilities

  • Retrieve and create corpora for NLP and associated linguistic analysis
  • Develop and test systems for identifying students who appear to lack key concepts as defined by lexical and grammatical structures, discourse analysis, and possible sentiment analysis
  • Design a data warehouse that will facilitate the ability to collect, manage, and archive data including student interviews, student surveys, student writing samples, and academic and demographic data for students in order to conduct research leading to peer-reviewed publications, and future external funding
  • In collaboration with other project staff collect, manage, and archive data including student interviews, student surveys, student writing samples, and academic and demographic data for students in order to conduct research that could lead to peer-reviewed publications
  • Organize, synthesize, and analyze project data, and write co-authored papers with project PIs for peer-reviewed articles

Required Qualifications
Ph.D. in computational linguistics, natural language processing, machine learning, cognitive linguistics, sentiment analysis or related area. Previous research experience in textual analysis in terms of syntax (e.g. parts of speech tagging), semantics (e.g. topic segmentation) and discourse analysis is essential. Research in statistical modeling is also required. Strong computer science skills are essential, and data warehouse design skills are highly desired. Background in the theory and research of writing-to-learn pedagogies and experience with educational technology in natural language processing are desired but not required.

Background Screening
The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks will be performed in compliance with the Fair Credit Reporting Act.

U-M EEO/AA Statement
The University of Michigan is an equal opportunity/affirmative action employer.


CU Boulder: Postdoc in Machine Learning with an Emphasis on Speech and Language Processing

  • Employer: University of Colorado Boulder
  • Title: Postdoctoral Associate
  • Specialty: Machine Learning, Speech and Language Processing
  • Location: Boulder, Colorado, United States
  • Deadline: Ongoing, desired start August 2018
  • Date posted: February 9, 2018
  • Contact: Dr. Sidney D’Mello

Postdoc in Machine Learning with an Emphasis on Speech and Language Processing
(Department of Computer Science and Institute of Cognitive Science at the University of Colorado Boulder)

The Department of Computer Science at the University of Colorado Boulder anticipates hiring a full time postdoctoral research associate starting August 2018 for one year and renewable for a second (and third) year. The position includes a competitive salary commensurate with experience and full benefits. Review of applications will begin immediately and continue until the position is filled.

The successful candidate will conduct research in machine learning applied to speech and language processing to solve challenging, but impactful, real-world problems. He/she will participate in the development and application of advanced machine learning techniques (e.g., deep recurrent neural networks) to multi-party speech data collected in authentic contexts (e.g., classroom discourse, small group collaborative problem solving).

The candidate will work under the supervision of Dr. Sidney D’Mello and will play a collaborative and co-leadership role in a vibrant research team encompassing researchers in Computer Science and the Institute of Cognitive Science.

The position offers a unique postdoctoral training experience and unsurpassed publishing opportunities within multi-department and multi-institution grant-funded projects. The postdoc will be encouraged to develop new technical skills, strengthen their research portfolios via peer-reviewed publications, gain interdisciplinary experience by working with a diverse team, develop leadership skills by mentoring students, and gain expertise in co-authoring grant proposals.

Required

  • Ph.D. in Computer Science, Artificial Intelligence, or a related field at the time of hire
  • Research experience in advanced machine learning (e.g., deep learning, probabilistic graphical models)
  • Evidence of a strong publication record in the aforementioned areas

Desired

  • Research experience in one or more of the following areas: acoustic signal processing, automatic speech recognition, natural language understanding, discourse modeling

Job Details

  • One year initial position with possible extension to a second and third year based on performance and availability of funds
  • Desired start date is August 2018. However, start date is negotiable
  • Competitive salary with benefits commensurate with qualifications

How to Apply
Please complete the following form: https://tinyurl.com/CUPostDoc1 and upload the following required documents: (1) cover letter, (2) current CV, and (3) one or two representative publications as a single PDF document named FirstNameLastName.pdf.

Additional documents will be required from candidates selected for further review after the initial documents are received: (4) – The document uploaded for Proof of Degree can be a Transcript which shows the date the degree was conferred; Copy of Diploma; or official letter from the Registrar or the Dean of the School or College conferring the degree; and (5) – List of references

About the University of Colorado and the City of Boulder
The University of Colorado Boulder is a widely recognized and respected research university in the U.S. Its 11 research institutes house more than 900 researchers, students, and staff, making a major contribution to the research infrastructure of the university and local economy. Boulder is one of the 34 public research institutions belonging to the Association of American Universities (AAU). It contributes to the local community via research partnerships, education opportunities, and development projects.

The city of Boulder hosts thriving tech industries, supports a renowned entrepreneurial community, has some of the region's best restaurants, and is home to many federal research labs. There are endless ways to enjoy Boulder's 300-plus days of sunshine a year — from the hundreds of miles of hiking and biking trails to some of the country's finest microbrews. It's also quick and easy to get around by bus or bike and a quick 25 mile ride to nearby Denver.

Special Instructions to Applicants
The University of Colorado Boulder conducts background checks on all final applicants being considered for employment, prior to the issuance of an offer letter. The University of Colorado Boulder is committed to providing a safe and productive learning, living and working community. To achieve this goal, we conduct background investigations for all final applicants being considered for employment. Background investigations include a criminal history record check, and an EPLS (Excluded Parties List System) check. The Immigration Reform and Control Act requires that verification of employment eligibility be documented for all new employees by the end of the third day of work.

The University of Colorado is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained faculty and staff. In compliance with applicable laws and in furtherance of its commitment to fostering an environment that welcomes and embraces diversity, the University of Colorado does not discriminate on the basis of race, color, creed, religion, national origin, sex (including pregnancy), disability, age, veteran status, sexual orientation, gender identity or expression, genetic information, political affiliation or political philosophy in its programs or activities, including employment, admissions, and educational programs. Inquiries may be directed to the Boulder Campus Title IX Coordinator by calling 303-492-2127. In accordance with the Americans with Disabilities Act, alternative formats of this ad can be provided upon request for individuals with disabilities by contacting Human Resources at adacoordinator@colorado.edu.


Full-time Researchers, IBM Research - Almaden

  • Employer: IBM Research - Almaden
  • Title: Research Staff Member
  • Speciality: Natural Language Processing, Computational Linguistics, Machine Learning, or related areas
  • Location: San Jose, California, USA
  • Deadline: June 1, 2018
  • Date posted: January 31, 2018
  • Contact: Yunyao Li (yunyaoli {at} us.ibm.com) and/or Lucian Popa (lpopa {at} us.ibm.com)


IBM Research - Almaden is looking for talented researchers with background in Natural Language Processing and Machine Learning to join the Natural Language Processing, Entity Resolution and Discovery Department. We are actively building the next-generation 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 industry-specific knowledge bases are the foundation of many emerging AI services and applications.

Such a platform needs to support the entire life cycle for knowledge engineering including:

  • Creation, maintenance and evolution of domain schema 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, including text analytics, entity resolution and integration, cleansing, data transformations and machine learning
  • 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 significant academic, industrial and open source impact.

The research is being conducted in close collaboration with the IBM Watson division and multiple global IBM Research labs (Australia, India, 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 talented researchers with interest in system design and implementation as well as experience in one or more areas relevant to the knowledge engineering life cycle as described above, particularly those with background in Natural Language Processing and Machine Learning. You will participate in cutting edge research, build at industrial scale, and keep connected to the larger research community by regularly publishing papers and partnering with universities.

Required

  • Bachelor's degree or equivalent in Computer Science, related technical field or equivalent practical experience.
  • Programming experience in one or more of the following: Java, C, C++ and/or Python.
  • Experience in Natural Language Processing, Computational Linguistics, Machine Learning, Large-Scale Data Management, Data Mining or Artificial Intelligence
  • Contribution to research communities and/or efforts, including publishing papers at conferences such as ACL, EMNLP, NIPS, AAAI, ICML, SIGMOD, VLDB, and KDD.

Preferred

  • PhD in Computer Science, related technical field or equivalent practical experience.
  • Relevant work experience, including experience working within the industry or as a researcher in a lab.
  • Ability to design and execute on research agenda.
  • Strong publication record.


PhD-level Researchers, AIPHES, Darmstadt/Heidelberg

PhD positions in DFG Graduate School AIPHES: Natural Language Processing and Computational Linguistics

The Research Training Group “Adaptive Information Preparation from Heterogeneous Sources” (AIPHES), which has been established in 2015 at Technische Universität Darmstadt and at Ruprecht Karls University Heidelberg is filling several positions for three years, starting as soon as possible. Positions remain open until filled.

The positions provide the opportunity to obtain a doctoral degree in the research area of the training group with an emphasis, e.g., in opinion and sentiment - extrapropositional aspects of discourse, in natural language processing tasks such as structured summaries of complex contents, in content selection and classification enhanced by reasoning, or a related area. The group will be located in Darmstadt and Heidelberg. The funding follows the guidelines of the DFG, and the positions are paid according to the E13 public service pay scale.

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

Participating research groups at Technische Universität Darmstadt are Knowledge Engineering (Prof. Fürnkranz), Ubiquitous Knowledge Processing (Prof. Gurevych), Machine Learning (Prof. Kersting), Visual Inference (Prof. Roth), Algorithmics (Prof. Weihe). Participants at Ruprecht Karls University Heidelberg are the Institute for Computational Linguistics (Prof. Frank) and the Natural Language Processing Group (Prof. Strube) of the Heidelberg Institute for Theoretical Studies (HITS).

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


Prerequisites

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

The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. The Institute for Computational Linguistics (ICL) of the Ruprecht Karls University Heidelberg is one of the largest centers for computational linguistics both in Germany and internationally. The ICL and the NLP department of the HITS jointly run the graduate program “Semantic Processing” with an integrated research training group “Coherence in language processing: Semantics beyond the sentence”, which has a close connection to the topics in computational linguistics of AIPHES.

Applications should include a motivational letter that refers to one or two of the planned research areas of AIPHES, a CV with information about the applicant’s scientific work, certifications of study and work experience, as well as a thesis or other publications in electronic form. Application materials must be submitted via the following form by February 11th, 2018:

https://public.ukp.informatik.tu-darmstadt.de/aiphesrecruitment/

In addition, applicants should be prepared to solve a programming and a reviewing task in the first two weeks after their application.


Associate Research Scientist, UKP Lab, TU Darmstadt

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)

in the areas of Interactive Text Analysis, the UKP Lab is looking for a researcher with a background in Natural Language Processing and Software Development to work on the project INCEpTION funded by the German Research Foundation (DFG). The project is developing a comprehensive interactive text analysis platform to improve efficiency and to enable new ways of exploring, annotating and analyzing large-scale text corpora through the use of assistive features based on machine-learning.

We ask for applications from candidates from Computer Science with a specialization in Natural Language Processing, Text Mining, or Machine Learning, preferably with expertise in research and development projects, and strong communication skills. The successful applicant will work on research and development activities regarding text annotation by end-users (researchers, analysts, etc.), information recommendation, and create the corresponding text analysis platform. Ideally, the candidates should have demonstrable experience in designing complex (NLP and/or ML) systems (frontend and backend), in applying NLP-related Machine Learning-based methods, and strong programming skills especially in Java. Experience with neural network architectures and demonstrable engagement in open source projects are strong pluses.

The UKP Lab is a research group comprising over 30 team members who work on various aspects of Natural Language Processing (NLP), with a rapidly developing focus on Interactive Machine Learning and who provide a range of high-quality open source software packages for interactive and automatic text analysis to research and industry communities.

UKP’s wide cooperation network both within its own research community and with partners from research and industry provides an excellent work environment. The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. Its Research Training Group “Adaptive Information Processing of Heterogeneous Content” (AIPHES) funded by the DFG emphasizes NLP, machine learning, text mining, 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 standards, cooperative work style and close interaction of team members.

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 applications to: jobs@ukp.informatik.tu-darmstadt.de by 16.2.2018. The positions are open until filled. Later applications may be considered if the position is still open.

3-year research postdoc position in computational social science at Bocconi University, Milan

  • Employer: Bocconi University, marketing department, supervisor Dirk Hovy
  • Title: Postdoc
  • Specialty: NLP, neural networks, computational social science
  • Location: Milan, Italy
  • Starting date: March 1, 2018
  • Deadline: Apply by noon January 22, 2018
  • Date Posted: December 29, 2017
  • Contact: dip.mkt@unibocconi.it

Project Title: Neural methods for text analysis in the social sciences

Project Description: Text is a common medium in all social sciences, offering insights into human behavior. However, text is complex and encodes many different aspects at the same time. In order to analyze text for social science projects, we need to develop the right tools, based on natural language processing. These tools needs to scale to large amounts of text, allow for exploration and predictive modeling, and allow a multitude of analyses (classification, regression, clustering, etc). Neural-network approaches to NLP have lately demonstrated all of these properties, but have rarely been applied to social science problems. The goal of this project is to establish a baseline in tools and techniques that can be widely applied, and that can form the basis of future research and training. The full description of the position and the application details can be found at: https://www.unibocconi.eu/wps/wcm/connect/d61571c4-b0cf-4aad-a25c-b963801595bf/Call-ADR-09H1-MKT.pdf?MOD=AJPERES&CVID=m1g59An&CVID=m1g59An&CVID=m1g59An&CVID=m1g59An

Responsibilities: The candidate would work predominantly on research, i.e., the implementation and testing of model architectures, data mining and preparation, and dissemination of results. Teaching opportunities (for additional salary) are available.

Scientific sector: 09/H1 Information processing systems



Teaching Faculty in Human Language Technology: Johns Hopkins University

  • Employer: Johns Hopkins University
  • Title: Senior Lecturer, Associate Teaching Professor or Teaching Professor
  • Location: Baltimore, MD
  • Deadline: Apply by January 31, 2018 for full consideration, but applications will be accepted until positions are filled
  • Date Posted: December 21, 2017
  • Contact: clspsearch@clsp.jhu.edu

The Center for Language and Speech Processing (CLSP) at Johns Hopkins University seeks outstanding candidates for a fulltime teaching position. The search is open to all ranks, including Senior Lecturer, Associate Teaching Professor and Teaching Professor.

This position will be central to CLSP’s new Certificate in Human Language Technology, part of the master’s degree programs in Computer Science (CS) and the Electrical and Computer Engineering (ECE). The successful candidate will be involved in new course development, graduate teaching, graduate academic advising, supervising master's thesis projects, and managing various aspects of the Certificate program. Although this is primarily a teaching position, there is also potential for research effort.

Successful candidates will join the faculty of CLSP, one of the largest and most visible academic organizations in speech processing and NLP. For more than two decades, CLSP has advanced the state of the art in research, hosted international research teams (the annual JSALT workshops), and produced hundreds of PhD alumni. Our graduates are found throughout most major information processing companies and in government related research organizations.

The primary appointment will be in the academic department most appropriate for the candidate within the Whiting School of Engineering, such as Electrical and Computer Engineering, Computer Science or another appropriate department. Applicants for this position must have a Ph.D. in Computer Science, Electrical and Computer Engineering or a closely related field, commitment to teaching, and excellent communication skills. Familiarity with some aspect of Human Language Technology or machine learning is strongly preferred. The university has instituted a nontenure track career path for fulltime teaching faculty culminating in the rank of Teaching Professor.

Johns Hopkins is a private university known for its commitment to academic excellence and research. CLSP, as well as the CS and ECE departments, are part of the Whiting School of Engineering. We are located in Baltimore, MD in close proximity to Washington, DC and Philadelphia, PA. See the center webpage https://www.clsp.jhu.edu/ for additional information.

Applicants should apply online at http://apply.interfolio.com/47959. Salary and rank will be commensurate with qualifications and experience. Applicants should submit a curriculum vitae, a teaching statement and complete contact information for at least three references.

Applicants should apply by January 31, 2018 for full consideration, but applications will be accepted until positions are filled. Questions should be directed to clspsearch@clsp.jhu.edu.

Johns Hopkins University is committed to active recruitment of a diverse faculty and student body. The University is an Affirmative Action/Equal Opportunity Employer of women, minorities, protected veterans and individuals with disabilities and encourages applications from these and other protected group members. Consistent with the University’s goals of achieving excellence in all areas, we will assess the comprehensive qualifications of each applicant.


Post-Doctoral Position: Law, Economics, & Data Science, ETH Zurich

  • Employer: Center for Law & Economics, ETH Zurich
  • Title: Post-Doctoral Research Fellow
  • Location: Zurich, Switzerland
  • Deadline: Application review begins Feb 1st 2018; open until filled
  • Date Posted: December 20, 2017
  • Contact: Elliott Ash (e@elliottash.com)


Description: Applications are invited for postdoctoral research position in a new interdisciplinary research group at Center for Law & Economics, ETH Zurich. The research group in Law, Economics, and Data Science focuses on representing legal and political language as statistical data using tools from natural language processing, and then recovering causal relations between language and outcomes in society and the economy. The postdoc will be involved in all aspects of the research, including project planning, research design, data analysis, presentation of findings at conferences, and preparation of manuscripts for submission to leading peer-reviewed journals. The postdoc will have the opportunity to co-author papers with lab colleagues, work with an array of affiliated faculty from ETH and University of Zurich, and develop independent projects related to these research areas. Organizational and teaching duties are limited to a few hours per week. Our offices are located in downtown Zurich, and the working language is English. The appointment will be for at least one year and up to three years (contingent on satisfactory performance), with flexible starting date beginning July 2018. Salaries are internationally competitive, paid according to ETH standards (https://www.ethz.ch/en/the-eth-zurich/working-teaching-and-research/working-conditions/employment-and-salary.html).

Qualifications: Applicants should have a PhD in computer science, computational linguistics, machine learning, or a related field. Applicants should have graduate-level expertise in natural language processing and machine learning. Excellent English writing skills are essential.

How to Apply: Online application available at https://apply.refline.ch/845721/5895/index.html?cid=1&lang=en. Application review will begin on February 1, 2018 and continue until the position is filled.

Post-Doctoral Researcher in Computational Linguistics, University of Pennsylvania

  • Employer: Department of Computer and Information Science, University of Pennsylvania
  • Title: Post-Doctoral Research Fellow
  • Location: Philadelphia, PA
  • Deadline: Open until filled
  • Date Posted:December 17, 2017
  • Contact Mitch Marcus (mitch@cis.upenn.edu)


Description: Applications are invited for a postdoctoral fellow research associate position in the Department of Computer and Information Science at the University of Pennsylvania. This is a full time position for 18 months, starting immediately.

The main aim of this project is to develop new unsupervised algorithms to extract several levels of linguistic structure including morphology, part of speech (POS) tags, and noun phrases from unannotated corpora. The project will exploit many different descriptive properties and constraints of language, all of which are close to universal in applicability. Such so-called universals have been developed across a wide range of often conflicting theoretical frameworks by both theoretical and descriptive linguists over many years. Our project is also inspired by the current understanding of how children acquire their native language, in an unsupervised setting and with relatively small amount of data. We intend to shamelessly exploit them all.

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

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

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