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

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* '''[[Instructions for Posting Job Ads]]'''
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* Please include the following information:
 
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** Employer
 
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** Rank or Title
 
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** Specialty (e.g., Computational Linguistics, Natural Language Processing, Machine Translation)
 
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** Location
 
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** Deadline
 
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** Date Posted
 
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** Contact email or link to website
 
 
* See also the [http://linguistlist.org/jobs/index.html Linguist Job List].
 
* See also the [http://linguistlist.org/jobs/index.html Linguist Job List].
 
* Archived postings:
 
* Archived postings:
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** [[Employment opportunities posted 2009]]
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** [[Employment opportunities posted 2013|2013]] - [[Employment opportunities posted 2012|2012]] - [[Employment opportunities posted 2011|2011]] - [[Employment opportunities posted 2010|2010]] - [[Employment opportunities posted 2009|2009]] - [[Employment opportunities posted 2008|2008]] - [[Employment opportunities posted 2007|2007]]
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==Associate Research Engineer, Natural Language Processing==
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== Postdoctoral Fellow / Bioinformatics Technology Lab / Genome Sciences Centre ==
−
** Employer: ETS (Educational Testing Service)
+
* Employer: University of British Columbia and BC Cancer Agency
−
** Rank or Title: Associate Research Engineer, Natural Language Processing
+
* Title: PostDoc
−
** Specialty: Research
+
* Specialty: Natural Language Processing, Machine Learning
−
** Location: Princeton, New Jersey
+
* Location: Vancouver, British Columbia, Canada
−
** Deadline: 12/31/2010
+
* Deadline: Until filled
−
** Date Posted: 12/01/2010
+
* Date Posted: March 26, 2014
−
** Contact email or link to website: http://www.Click2Apply.net/rnnrpxe
 
  
−
ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization.  Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve.
+
'''Job Description'''
  
−
In this team-oriented role, the selected candidate will assist with the implementation of natural language processing (NLP) components of medium- to large-scale, complex research projects for ETS researchers, testing program areas and external clients. You will be offered the opportunity to consult with research scientists in the application, modification, and documentation of such systems and contribute to the implementation and support of new NLP methodologies to support research system development.
+
The Genome Sciences Centre is seeking a Postdoctoral Fellow for the Bioinformatics
 +
Technology Lab to conduct scientific research in the areas of bioinformatics and  
 +
genomics, specifically related to automated analysis and annotation of cancer
 +
research literature.  
  
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Be prepared to further assist in the preparation of NLP development components of proposals and cost/resource estimates, implement components of technical documentation of NLP software systems, solutions and results and regularly attend area-wide staff training and development sessions.
+
The successful applicant will work with trainees and research scientists in a team
−
Job Requirements
+
that develops tools for a clinical genomics pipeline based on primary sequence
 +
analysis, to build natural language processing and machine learning tools that
 +
interpret identified mutations for their biological significance as they relate
 +
to reports in the relevant literature.  
  
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In addition to exceptional verbal/written communication skills, our qualifications include:
+
'''Duties'''
  
−
    * Master's degree in Computer Science, NLP, Language Technology, Computational Linguistics, Linguistics or a closely related field
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Reporting to the Head of Bioinformatics Technology Lab, Dr. Inanc Birol, your
−
    * A strong programming background, in languages such as Perl, Java, Python, and C, and facility with computational algorithms are essential
+
typical duties will include the following:
−
    * Coursework in statistics and experience in using machine learning toolkits are highly desirable
 
−
    * Ability to maintain continuing awareness of recent advances in natural language processing (including speech processing), machine learning, and software development methodologies
 
−
    * Knowledge of UNIX and Windows computing environments
 
−
    * Familiarity with UNIX tools and scripting languages and  algorithms, methods and data structures in common use in the processing of speech and language data
 
  
−
We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at:
+
* Building natural language processing and machine learning tools for automated literature survey
 +
* Analysis and annotation of data from genomics studies as they relate to the literature
 +
* Collaborating with biologists and clinical researchers on the accuracy of the results
 +
* Reporting research methods and results in meetings, seminars and conferences
 +
* Contribution to and leading scientific publications and research proposals
  
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http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=99822&type=&cfcend
+
'''Required Qualifications'''
  
−
EOE
+
The ideal candidate should possess a PhD degree and recent proven experience in computer
 +
science, electrical engineering or a related discipline. A strong publication record in
 +
the field, and demonstrated technical writing skills are highly desirable. Prior research
 +
experience in bioinformatics is also desirable, but not required.
  
−
Apply Here: http://www.Click2Apply.net/rnnrpxe
+
More experienced candidates will be considered for a Staff Scientist position, pending
 +
successful funding.
  
−
==Post-doc in Natural Language Processing (Barcelona, Spain)==
+
'''How to Apply'''
−
** Employer: Universitat Pompeu Fabra, Barcelona, Spain
 
−
** Rank or Title: Postdoctoral Researcher
 
−
** Specialty: Research and Development
 
−
** Location: Barcelona, Spain
 
−
** Deadline: 6/12/2010
 
−
** Date Posted: 19/11/2010
 
−
** Contact email or link to website: http://www.taln.upf.edu/
 
  
−
The Natural Language Processing Research group (TALN) at the Department of Communication and Information Technologies, Universitat Pompeu Fabra has a 2-years open position in the area of automatic text simplification in Spanish in the context of the research project Simplext.
+
Please send your resume with cover letter to bcgscjobs@bcgsc.ca
 +
We request that you specify the position you are applying for by identifying the Job Code
 +
only ("PDFBTL 14-03-27") in the subject line of your emailed application.  
  
−
We are looking for candidates with experience in natural language processing (NLP) and in particular with knowledge and experience in empirical methods (machine learning for NLP). Candidates with interest and/or experience in automatic text summarization, text simplification, text-to-text generation, and development of NLP applications are particularly welcome.  
+
All qualified candidates are encouraged to apply; however, Canadian citizens and permanent
 +
residents will be given priority.  
  
−
We require:
+
'''About Us'''
  
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- PhD with specialization in Natural Language Processing;
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Genome Sciences Centre is a leading international institution for genomics and bioinformatics
 +
research. Our mandate is to advance knowledge about cancer and other diseases, to improve human
 +
health through disease prevention, diagnosis and therapeutic approaches, and to realize the
 +
social and economic benefits of genomics research.
  
−
- Experience in developing NLP applications and Web services;
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For more information, please visit www.bcgsc.ca
  
−
- Experience with NLP platforms and tools for the automatic analysis of Spanish language;
+
== PostDoc / NLP, Machine Learning, Medical Informatics / Worcester MA ==
 +
* Employer: University of Massachusetts Medical School
 +
* Title: PostDoc
 +
* Specialty: Natural Language Processing, Machine Learning
 +
* Location: Worcester, Massachusetts, United States, 01605
 +
* Deadline: Until filled
 +
* Date Posted: March 26, 2014
  
−
- Knowledge and use of the Java language;
 
  
−
- Proficiency in English
+
'''Job Description'''
  
 +
We are seeking 1~2 highly motivated postdoctoral research associate to
 +
join the Biomedical Natural Language Processing (BioNLP) group at
 +
UMass Medical School and UMass Amherst. This position will primarily
 +
be located at the UMass Medical School in Worcester, MA. The BioNLP
 +
group is actively pursuing many exciting projects including:
 +
information retrieval, information extraction, summarization, question
 +
answering, data mining, and patient-centered research. A highly
 +
productive candidate may transition to a faculty position.
  
−
We offer:
 
  
−
- A 2-years research contract  with a maximum gross salary of 28.842,72€ depending on experience
+
'''Responsibilities'''
  
−
- Work in a research project with relevance to society
+
The successful candidates will help investigate new algorithms to
 +
support our current research thrusts. This will require extensive
 +
experience with data mining (DM) and natural language processing (NLP).
  
−
- Work for a  dynamic and collaborative research team
 
  
−
- The position is available immediately
+
'''Qualifications'''
  
−
Universitat Pompeu Fabra (UPF) is recognised internationally for the quality of its research, it is also one of the top 5 Spanish universities in terms of scientific production and academia efficiency. The NLP group is situated in Campus de la Comunicación in the innovation district of Barcelona 22@.
+
Candidates for this position should have a PhD in Computer Science or
 +
related field and a significant research record including
 +
publications in top conferences and journals in:
  
−
If you are interested in working with us, please send the following documentation:
+
* Natural Language Processing
 +
* Machine Learning
 +
* Data Mining or Data Analysis
  
−
- Cover letter including your contact details
+
Proficiency in quantitative analytical methods and strong programming
 +
skills (e.g., python, matlab, java, C/C++, weka, etc.), along with
 +
extensive research experience in hands-on machine learning (ML) and
 +
data mining (DM), is essential. Additional experience in
 +
bioinformatics or figure search and analysis is desirable.
  
−
- A CV and list of publications
+
Successful applicants will join a vibrant collaborative research
 +
environment, will work closely with clinical investigators and senior
 +
personnel in the lab, and should have the ability to work effectively
 +
both independently and as part of a multidisciplinary team. The
 +
position will be for one year, renewable annually, starting Summer or Fall 2014.
  
−
- The names and contact details of  3 people who can act as your references
 
  
 +
'''How to Apply'''
  
−
Send the documentation by e-mail to Dr. Horacio Saggion, the subject of your e-mail should be  “Simplext-TALN-Pos-Doc”. Deadline to send your application is 6th of December. If you have any informal query please contact Dr. Horacio Saggion.
+
Please apply by email to Prof. Hong Yu <hong.yu@umassmed.edu> and
−
Consult http://www.taln.upf.edu for contact details.
+
include a brief letter of introduction, a CV including list of
 +
publications in PDF format, and names and email addresses of 2-3 referees.
  
  
−
==Pre-doc in Natural Language Processing (Barcelona, Spain)==
+
'''Background'''
−
** Employer: Universitat Pompeu Fabra, Barcelona, Spain
 
−
** Rank or Title: Predoctoral Researcher
 
−
** Specialty: Research and Development
 
−
** Location: Barcelona, Spain
 
−
** Deadline: 6/12/2010
 
−
** Date Posted: 19/11/2010
 
−
** Contact email or link to website: http://www.taln.upf.edu/
 
  
−
The Natural Language Processing Research group (TALN) at the Department of Communication and Information Technologies, Universitat Pompeu Fabra has a 12-months open position in the area of automatic text simplification in Spanish in the context of the research project Simplext.
+
Please see http://www.bio-nlp.org/postdoc-ad-2014.txt for more information.
  
−
We are looking for candidates with some experience in natural language processing (NLP) and willing to pursue a PhD in NLP. Candidates with interest and/or experience in automatic text summarization, text simplification, text-to-text generation, and development of NLP applications are particularly welcome.
+
Competitive Salary based on experience.
−
 
−
We require:
 
  
−
- A degree in Computer Science or related field
+
== Knowledge Engineer / Bosch Research & Technology Center / Palo Alto, California ==
  
−
- Experience in NLP, Machine Learning, or Artificial Intelligence
+
* Employer: Bosch Research & Technology Center
 +
* Title: Knowledge Engineer (PhD)
 +
* Specialty: Natural Language Processing
 +
* Location: Palo Alto, California, United States, 94304
 +
* Deadline: Until filled
 +
* Date Posted: March 16, 2014
  
−
- Experience in Java programming and Web Service development
+
'''Job Description:'''
  
−
We offer:
+
The Bosch Language Services group in Palo Alto, CA is a newly created organization intended to develop products with natural language technologies and systems, and provide services for Bosch Group. It is a fast growing team addressing the needs within and outside of the large Bosch organization. We work closely with internal partners, including corporate research and other business units, to create a new set of products and services for Bosch, based on our leading technologies in the field.
  
−
- A 12-months research contract
+
To strengthen our team, we are seeking enthusiastic and creative engineer in knowledge engineering and language processing to develop world class Bosch products.
  
−
- Dynamic and collaborative working environment
+
'''Responsibilities:'''
  
−
- A maximum gross salary of 15.530,76€ depending on experience
+
* Develop the next-generation software products in the areas of user interaction technologies and systems
 +
* Develop scalable and reliable solutions of such systems for 24/7 use
 +
* Develop knowledge engineering technologies and tools for different Bosch application fields
 +
* Manage knowledge development process and tool development
  
−
- The position is available from January 2011.
+
'''Qualifications:'''
  
−
Universitat Pompeu Fabra (UPF) is recognised internationally for the quality of its research, it is also one of the top 5 Spanish universities in terms of scientific production and academia efficiency. The NLP group is situated in Campus de la Comunicación in the innovation district of Barcelona 22@.
+
* Ph.D degree or equivalent in Computer Science, or related fields
 +
* Minimum 7 years of large scale software development experiences
 +
* Minimum 5 years of experience in knowledge engineering, ontology construction, and natural language processing.  
 +
* Strong in coding (C, C++, Java), algorithms and system design
 +
* 5 years of hands-on experience in developing web service solutions and web applications.  
 +
* Excellent communication skills (both writing and speaking)
 +
* In-depth experience in using speech recognition, and/or machine learning systems is a plus
  
−
If you are interested in working with us, please send the following documentation:
+
'''How to Apply'''
  
−
- Cover letter including your contact details
+
For more information, and to apply online, please visit http://bit.ly/1odx96w
  
−
- A CV and list of publications
+
== Research Director NLP and Speech Processing / Educational Testing Service / Princeton, New Jersey ==
  
−
- The names and contact details of  2 people who can act as your references
+
* Employer: Educational Testing Service
 +
* Title: Research Director NLP and Speech Processing
 +
* Specialty: Natural Language Processing / Speech Processing
 +
* Location: Princeton, New Jersey, United States, 08541
 +
* Deadline: Until filled
 +
* Date Posted: March 12, 2014
  
 +
'''Job Description:'''
  
−
Send the documentation by e-mail to Dr. Horacio Saggion, the subject of your e-mail should be  “Simplext-TALN-Pre-Doc”. Deadline to send your application is 6th of December. If you have any informal query please contact Dr. Horacio Saggion.
+
ETS (Educational Testing Service), is headquartered in Princeton, NJ. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development.
−
Consult http://www.taln.upf.edu for contact details.
 
  
 +
Currently we are seeking a Research Director of the Natural Language Processing (NLP) and Speech Group to lead a team of 26 scientists and engineers in the research and development of innovative technologies to improve assessment. The Director also leads research that encourages the appropriate use of these technologies in operational settings and advances the state of the art in NLP and speech processing research in the education domain.
  
 +
Specifically, you will be responsible for conceptualizing and pursuing a research agenda of fundamental and applied research in NLP and speech processing that will address current needs and anticipate future needs of education and assessment. This includes the development of technologies to automate or facilitate scoring of open-ended responses, support practices for developing tests and learning materials, safeguard the security and validity of assessments, enable technology-rich environments for assessment and learning, and provide automated performance feedback.
  
 +
In addition, you will assume responsibility for the enhancement of a variety of existing ETS technologies that include e-rater (for automated scoring of essays), c-rater (for scoring content-based short answers), and SpeechRater (for scoring the spontaneous speech of English Language Learners), as well as the development of fundamentally new systems and methods.
  
 +
Also, you be responsible for leading efforts to expand the use of ETS NLP and speech technologies. The Director will actively seek out opportunities for operational use of these technologies for both internal and external clients. This includes coordinating with ETS business units to understand market and client needs/trends, identify appropriate use contexts, develop the necessary research evidence to support operational use, and establish procedures for the transition of research technologies to production environments.
  
−
== Research Fellow, NLP and MT for Arabic ==
+
'''Requirements:'''
−
** Employer: University of Wolverhampton, UK
 
−
** Rank or Title: Research Fellow
 
−
** Specialty: Research and Development
 
−
** Location: Wolverhampton, UK
 
−
** Deadline: 30/11/2010
 
−
** Date Posted: 18/11/2010
 
−
** Contact email or link to website: lspecia@gmail.com
 
  
−
The Research Group in Computational Linguistics (http://clg.wlv.ac.uk/), University of Wolverhampton, invites applications for a research fellowship in the area of Arabic Natural Language Processing for a fixed-term contract: 12 months. The candidate will be expected to carry out research in the topic of evaluation of Arabic-English machine translation. He/she will contribute to the collection of data, proposal, design and evaluation of quality estimation approaches. He/she may also contribute to the implementation of the proposed approaches, which will be performed by an experienced programmer.
+
To qualify, you must possess:
 +
* A Doctoral degree in computer science, computational linguistics, linguistics, electrical engineering, or a related field
 +
* Eight years of progressively more independent research experience providing evidence of continuing and substantial contributions to a field of study are necessary, with experience managing research staff and transitioning the outcomes of research into operational practice desirable.
 +
* Excellent verbal and written communications skills, including public speaking, interpersonal and public relations skills, and writing and editing skills.
  
−
A successful applicant must:
+
'''How to Apply:'''
−
- Have a good honours degree or equivalent in Computational Linguistics, Artificial Intelligence, Linguistics, Computer Science/Engineering, Mathematics, Statistics, or related areas.
 
−
- Be a native or fluent speaker of Arabic or have sufficient knowledge of the language proved by previous research related to the language.
 
−
- Have experience in Computational Linguistics / Natural Language Processing, particularly the area of Machine Translation evaluation. A PhD in the field is ideal, but masters level or work experience are also acceptable.
 
−
- Be eligible to work in the UK, as the job requires an immediate start. Part-time applications from candidates currently studying in the UK will also be considered.
 
  
−
The starting date is early December 2010.
+
Please apply online at: http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=160741&BUID=2538
  
−
The application deadline is November 30, 2010.
+
'''Information about the institute:'''
  
−
Applications should be sent by e-mail to:
+
We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program.
  
−
Dr. Lucia Specia
+
With more than 3,400 global employees worldwide, ETS develops, administers and scores more than 50 million tests annually in more than 180 countries, at 9,000+ locations worldwide. In addition to assessments, we conduct educational research, analysis and policy studies and develop a variety of customized services and products for teacher certification, English language learning and elementary, secondary and postsecondary education. Equal Opportunity Employer
−
lspecia@gmail.com
 
  
−
Applications must include:
+
== Research Intern in Natural Language Processing (NLP) / Text Mining / Digital Humanities ==
  
−
1) A curriculum vitae indicating degrees obtained, course covered, publications, relevant work experience, and names of 3 referees that could be contacted if necessary.
+
* Employer: The Ubiquitous Knowledge Processing Lab (UKP Lab) in Darmstadt/Frankfurt
 +
* Title: Research Intern
 +
* Specialty: Natural Language Processing / Text Mining / Digital Humanities
 +
* Location: Darmstadt/Frankfurt am Main, Germany
 +
* Deadline: Until filled
 +
* Date Posted: January 20, 2014
 +
* Contact email: gurevych (at) cs (dot) tu-darmstadt (dot) de
  
−
2) A 1-page cover letter with statement of research experience, indicating why you are interested in this position and why you consider your experience is relevant.
+
'''Job Description:'''
  
−
3) A job application form that can be downloaded from: http://www2.wlv.ac.uk/pers/jobdetails/pers_jobapp_word_oct10.doc
+
The Ubiquitous Knowledge Processing Lab (UKP Lab) offers several exciting internship opportunities in cutting-edge research projects as
  
−
The successful candidate will work with the Computational Linguistics group. Established by Prof. Ruslan Mitkov in 1998, the Research Group in Computational Linguistics is highly successful, delivering cutting-edge research in a number of NLP areas such as anaphora resolution, automatic summarisation, question answering, lexical knowledge acquisition, text categorisation, named entity recognition, information extraction, corpus construction and annotation, automatic terminology processing, multilingual processing, and multiple-choice question generation. To a large extent, this research has been undertaken in projects funded by major EU and UK funding bodies and commercial partners.
+
* Research Intern in Natural Language Processing (NLP) / Text Mining / Digital Humanities
  
−
The results from the latest Research Assessment Exercise announced on 17 December 2008 confirm the Research Group in Computational Linguistics as one of the top performers in UK research. The research group was entered in Unit of Assessment "Linguistics" and Wolverhampton was ranked joint 3rd with 2 more universities. According to the league tables of the Guardian, The Times and Research Fortnight, research in Linguistics at the University of Wolverhampton is one of the top 6 best in the UK.
+
located either at the Computer Science Department of the Technische Universität Darmstadt or at the Information Center for Education at DIPF in Frankfurt (Germany)
  
 +
The positions are situated within one of the Lab’s projects dealing with automatic text processing, linguistic and machine learning based methods of language analysis, corpus development for novel tasks, or tool support for users in NLP research and humanities. The Lab’s approach to NLP features the hybrid methods in large-scale language processing, real-world text mining, and hands-on skills in the rapid development of scalable systems with practical relevance.
  
 +
The position is a fixed-term internship contract (6 months) with an option to extend it up to 1 year, provided certain conditions are met. A part-time working arrangement is possible. The internships are funded according to the level of qualification, previous experience, and formal criteria.
  
−
== Associate Research Scientist, Speech==
+
'''Requirements:'''
−
** Employer: ETS (Educational Testing Service)
 
−
** Rank or Title: Associate Research Scientist, Speech
 
−
** Specialty: Research
 
−
** Location: Princeton, New Jersey, United States, 08540
 
−
** Deadline: 12/04/2010
 
−
** Date Posted: 11/04/2010
 
−
** Contact email or link to website: http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7348049
 
  
 +
We are looking for internship students to work on one of the following areas: computational linguistics, text mining, or machine learning, with substantial theoretical knowledge, excellent problem-solving and programming (Java) skills for language processing, eagerness to apply the knowledge and skills in new contexts, and interest to participate in the Lab’s internationally competitive research. The ability to work independently, personal commitment, teamwork and communication skills, and a readiness to cooperate are required. The ability to speak German as well as previous experience in NLP, text-mining, or digital humanities are beneficial, but is not a job requirement.
  
 +
We welcome applications of students at all levels of study (bachelor, master) as well as graduate-level applications. The position is ideally suited to acquire research experience abroad (also as required by the ongoing study program of an applicant), or qualify as a Master-, PhD-student, or a research associate at one of the leading universities, and for a competitive industry position.
  
−
ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization.  Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve.
 
  
−
In this integral position, the selected candidate will apply their scientific and technical skills to conceptualize, design, obtain support for, conduct, manage and disseminate the results of research projects in the field of automated speech assessment, or portions of large-scale research studies or programs in the same field.
+
'''How to Apply:'''
  
−
You will be offered the opportunity to develop and/or modify theories to conceptualize and implement new capabilities in automated scoring and speech-based analysis and evaluation systems used to improve assessments, learning tools and test development practices. Be prepared to design/conduct research studies and capability development, oversee select portions of research proposals and project budgets and function as an expert in major facets of the projects.
+
Applications (including CV, details of previous academic work, at least two educational and professional references, and final thesis in electronic form) should be submitted to gurevych (at) cs (dot) tu-darmstadt (dot) de.
  
  
 +
'''Information about the institute:'''
  
−
Our requirements include:
+
The Computer Science Department of the Technische Universität Darmstadt is regularly ranked among the best in Germany. The Ubiquitous Knowledge Processing Lab (UKP Lab) in Darmstadt/Frankfurt (http://www.ukp.tu-darmstadt.de/) led by Professor Iryna Gurevych offers an excellent research environment. The distinguishing features of its research are novel linked lexical semantic resources, algorithms for semantic language analysis (for example, word sense disambiguation, or semantic role labeling), and text-mining (for example, topic recognition, or opinion analysis). The ongoing research projects closely cooperate with users of the developed technologies in humanities, e.g. in educational research, text interpretation in philosophy, corpus linguistics, or history sciences. Within the graduate program “Knowledge Discovery in Scientific Literature” (http://www.kdsl.tu-darmstadt.de/), the UKP Lab is networked with multiple groups in machine learning, statistical NLP and information management.
  
−
    * Ability to participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles
 
−
    * Must be able to develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators
 
−
    * Ph.D. in Computational Linguistics, Computer Science, Electrical Engineering or related areas, with strong emphasis on speech technology, natural language processing, and machine learning, and preferably some education in linguistics
 
−
    * Evidence of substantive research experience and/or experience in developing and deploying speech capabilities
 
−
    * Demonstrable contributions to new and/or modified theories of speech processing and their implementation in automated system
 
−
    * Expertise in the application of speech recognition systems and fluency in at least one major programming language (e.g. Java, Python, Perl), as well as strong experience in Unix scripting
 
  
−
We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at:
+
== Research Scientist for Automated Language Processing / Text Mining / Digital Humanities, German Institute for International Educational Research (DIPF), Frankfurt am Main ==
  
−
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=97431&type=&cfcend
+
* Employer: The German Institute for International Educational Research (DIPF)
 +
* Title: Research Scientist
 +
* Specialty: Automated Language Processing / Text Mining / Digital Humanities
 +
* Location: Frankfurt am Main, Germany
 +
* Deadline: February 14, 2014
 +
* Date Posted: January 13, 2014
 +
* Contact email: gurevych (at) dipf (dot) de
  
−
EOE
+
'''Information about the institute:'''
  
 +
The German Institute for International Educational Research (DIPF) (http://www.dipf.de/) n Frankfurt am Main, Germany, is a member of the Gottfried Wilhelm Leibniz Association of Sciences. As a national centre for educational research and educational information, it is jointly funded by the federal government (Bund) and the states (Länder).
  
−
Apply Here: http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7348049
+
As a scientific institution and member of the Leibniz Association, DIPF targets high-quality fundamental research as well as a research-based development of innovative scientific services. It addresses education as a public domain with high visibility and high importance. By bringing together competencies, DIPF and Computer Science at TU Darmstadt are setting up a priority domain of knowledge processing and computer science in education. In relevant national rankings, the Computer Science department at TU Darmstadt regularly holds top positions. In 2012, the UKP-DIPF group was established: its unique features include semantic language processing, text mining and information retrieval as well as powerful infrastructures for evaluating and aggregating knowledge.
  
  
 +
'''Job Description:'''
  
 +
At DIPF, the research unit “Ubiquitous Knowledge Processing Lab“ at the Information Center for Education (located in Frankfurt am Main, Germany) is looking for an
  
−
== Senior Research Scientist, Natural Language Processing==
+
* Research Scientist for Automated Language Processing / Text Mining / Digital Humanities (three-year contract, full time, EG13 TV-H*)
−
** Employer: ETS (Educational Testing Service)
 
−
** Rank or Title: Senior Research Scientist, Natural Language Processing
 
−
** Specialty: Research
 
−
** Location: Princeton, New Jersey, United States, 08540
 
−
** Deadline: 12/04/2010
 
−
** Date Posted: 11/04/2010
 
−
** Contact email or link to website: http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7347799
 
  
 +
The position is situated in the context of the project “Die Welt der Kinder: Weltwissen und Weltdeutung in Schul- und Kinderbüchern zwischen 1850 und 1918“ [children’s worlds: knowledge and interpretation of the world in  textbooks and children’s books from 1850 to 1918], subject to the Leibniz competition for excellence. Here, DIPF collaborates with the Georg-Eckert Institute for International Textbook Research (Brunswick) and the Institute for Language Technology and Information Science (University of Hildesheim).
  
−
ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3B not for profit organization. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. As a nonprofit corporation and an innovator in developing tests for clients in education, government and business, we are dedicated to advancing educational excellence for the communities we serve.
+
The project targets research into historical textbooks and children’s books - and the analysis of world views children grew up with. In the project, classical qualitative methods used in historical sciences to analyse texts that are charged with interpretation will be interlinked with automatic indexing and semantic annotation of historical sources by means of semantic language processing methods. First and foremost, Topic Detection and Opinion Mining methods will be explored and further developed. So far, no training data exist for the analysis of historical texts in German. Thus, the appointment addresses a genuine task in the context of innovative digital humanities, targeting the implementation of unsupervised and adaptive language processing methods. Another innovative aspect concerns the close collaboration with users and the linkage of intellectual with automated methods of analysis.
  
−
In the context of this position, we will turn to your skills and scientific/technical expertise to conceptualize, design, obtain support for, conduct and manage major research and/or development projects, particularly those in which natural language processing (NLP) techniques are applied to problems in education or assessment. Your responsibilities would include planning a long-term substantive research agenda, designing/conducting complex scientific studies, disseminating results and implications of projects and functioning as an expert in the major facets of the program. This position further offers the opportunity to generate or contribute to new or modified NLP theories and methodology and provide leadership for the development of new products or services for education and for the conduct of major projects in automated scoring and NLP.
+
The position is integrated into a highly dynamic environment at DIPF and TU Darmstadt. At DIPF, the successful candidate will co-operate with researchers in the growing domain of “Ubiquitous Knowledge Processing”, with computer science and educational research groups and information services, e.g. the Research Library for  the History of Education (BBF) at DIPF. At TU Darmstadt, a close co-operation exists concerning the UKP Lab (Prof. Dr. Iryna Gurevych), and research groups focusing text and data mining as well as partners from digital humanities projects at Darmstadt and at national levels (DARIAH-DE, CLARIN and LOEWE priority “Digital Humanities“ in the state of Hesse).
  
−
Job Requirements
+
We invite excellently qualified postgraduates or excellent graduates from relevant study courses to apply (Computer Science, Computational Linguistics or related subjects).
  
−
Our qualifications include:
+
Owing to the duration of the project, a contract will be signed for three years. TU Darmstadt offers an opportunity for further scientific qualification (i.e. doctoral degree, habilitation). The salary complies with TV-H (public service labour agreement in the state of Hesse). Applicants will principally be able to work part-time.
  
−
    * A Ph.D in Natural Language Processing, Computational Linguistics or Computer Science
+
* Tarifvertrag für den öffentlichen Dienst des Landes Hessen (labour agreement for public service in the federal state of Hesse)
−
    * Eight years of independent research experience providing evidence of continuing and substantial contributions to a field of study
 
−
    * A strong statistical and machine learning background
 
−
    * Demonstrable contributions to new and/or modified theories of Natural Language Processing and their implementation in automated systems
 
−
    * Practical expertise with NLP tools and fluency in at least one major programming language (e.g. Java, Perl, C/C++, Python)
 
−
    * The ability to lead the development of proposals for major research, development, or large-scale NLP projects, obtain financial support for new or continuing research activities and maintain appropriate contact with funding agencies for the development of new research programs and projects
 
−
    * Ability to develop, promote and maintain professional relationships as representative, consultant or advisor to external advisory or policy boards and councils, research organizations, educational institutions and educators
 
−
    * Familiarity with the application of NLP tools to educational problems
 
−
    * Demonstrated ability to lead project teams and to work collaboratively with a diverse set of contributors
 
  
−
We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program. Please apply online at:
+
'''Requirements:'''
  
−
http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=97875&type=&cfcend
+
* Doctoral degree or diploma/master degree in Computer Science, Computational Linguistics or other relevant subjects;
 +
* Preferably very good programming skills in Java and Web technologies; knowledge of UIMA;
 +
* Very good English language skills (written and spoken) and at least basic knowledge of German;
 +
* Ability to work independently, commitment to the task, the ability to work and communicate in a team and readiness to co-operate;
  
−
EOE
+
Experience in automated language processing, text mining or digital humanities is preferred.
  
−
Apply Here: http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7347799
+
Women are expressly invited to submit their application. According to the pursuant legal requirements, applicants with disabilities will be preferably treated in the appointment procedure.  
  
−
== Research Scientist/NLP Developer==
 
−
*'''Employer''': stealth startup
 
−
*'''Rank or Title''': Research Scientist/NLP Developer
 
−
*'''Specialty''': NLP, Medical Informatics, Data Scientist
 
−
*'''Location''': Menlo Park, CA
 
−
*'''Deadline''': Open until filled. Applications reviewed immediately.
 
−
*'''Date Posted''': October 22, 2010
 
−
*'''Contact''': jchew@oneteamtech.com
 
  
 +
'''How to apply:'''
  
−
As a Research Scientist, you will contribute to the development of algorithms and content for medical web applications and healthcare data processing tools.  You will be part of the Informatics research team building intelligent software systems for integrating various types of healthcare data in a research and development environment.
+
Candidates are requested to submit their application in electronic form (including CV and information regarding scientific work experience, university and work reports/references including electronic versions of the thesis and/or three key publications as well as names of two references), quoting the reference code (Referenz-Nr. IZB 2014-02). Please e-mail by February 14, 2014 to Prof. Dr. Iryna Gurevych, German Institute for International Educational Research (DIPF), Postfach 900270, 60442 Frankfurt am Main, Germany, i.e. office-ukp (at) dipf (dot) de. If you have any further questions, please contact Prof. Gurevych by e-mail: gurevych (at) dipf (dot) de.
  
−
Qualifications & Requirements
 
  
−
    * PhD (preferred) or Master's degree in Computer Science, Computational Linguistics, Mathematics or related fields
 
−
    * Experience with NLP, text processing, text mining, search algorithms, machine learning
 
−
    * Experience with Medical terminology and data sources (preferred)
 
−
    * Data mining and analysis of large data sets (preferred)
 
−
    * Strong analytical and algorithm design abilities
 
−
    * Experience in Java development
 
−
    * Excellent communication skills
 
−
    * Ability to work as a team with scientists, engineers and medical professionals
 
−
    * Must be an independent self-starter
 
  
 +
== Research Scientist in scientific coordination and transfer in computer science, knowledge and language processing, German Institute for International Educational Research (DIPF), Frankfurt am Main ==
  
 +
* Employer: The German Institute for International Educational Research (DIPF)
 +
* Title: Research Scientist
 +
* Specialty: scientific coordination and transfer in computer science, knowledge and language processing
 +
* Location: Frankfurt am Main, Germany
 +
* Deadline: February 14, 2014
 +
* Date Posted: January 13, 2014
 +
* Contact email: gurevych (at) dipf (dot) de
  
 +
'''Information about the institute:'''
  
 +
The German Institute for International Educational Research (DIPF) (http://www.dipf.de/) n Frankfurt am Main, Germany, is a member of the Gottfried Wilhelm Leibniz Association of Sciences. As a national centre for educational research and educational information, it is jointly funded by the federal government (Bund) and the states (Länder).
  
−
== Natural Language Processing Expert ==
+
As a scientific institution and member of the Leibniz Association, DIPF targets high-quality fundamental research as well as a research-based development of innovative scientific services. It addresses education as a public domain with high effectiveness and high importance. In relevant national rankings, the Computer Science department at TU Darmstadt regularly holds top positions. Its unique character is marked by excellent competencies in the fields of knowledge discovery on the web focusing on semantic language technology: text mining and information retrieval. By bringing competencies together, DIPF - with Computer Science at TU Darmstadt - has set up an institutional priority domain on knowledge processing and computer science in education.
−
* '''Employer''': RealHealthData
 
−
* '''Rank or Title''': Assistant Professor, Computer Scientist, NLP Expert.
 
−
* '''Specialty''': Natural Language Processing
 
−
* '''Location''': Santa Cruz, CA (Telecommuting OK)
 
−
* '''Deadline''': Open until filled, application review begins immediately.
 
−
* '''Date Posted''': October 20, 2010
 
−
* '''Contact''': paul.murphy@realhealthdata.com
 
  
−
Throughout 2009, a contract-based NLP expert produced an initial dataset derived from de-identified medical records, which are used to analyze trends and patterns in the medical research field.
+
'''Job Description:'''
  
−
During the de-identification and processing phase, metadata such as practice specialty and location was manually included as a reference alongside all documents. Another product that needs optimization in this project is an application that allows the input of additional medical records, in Microsoft Word format, to the main database using the same algorithm as the initial process.
+
At DIPF, the Information Center for Education (located in Frankfurt am Main) is looking for a
  
−
The objective is to identify the weaknesses in the algorithm, which have led to a lower amount of extracted data than should be expected, considering the rich content of documents. Once the algorithm is optimized, it should be run on all documents in our current pool, generating a more complete and updated dataset. The project will conclude once we have a new full dataset, and a C# application fit for seamless input in the future.
+
* Research Scientist (two-year contract, full time, EG13 TV-H*)
  
−
Skills:
+
for tasks in the field of scientific coordination and transfer in computer science, knowledge and language processing.
−
-3+ years of experience with command of at least one NLP tool, and/or experience with projects involving NLP and Text Mining or developing NLP solutions.
 
−
-Knowledge of analytics and data visualization
 
−
-Knowledge of spreadsheet-based analysis and reporting
 
−
-Experience with programming to implement NLP solutions (C#)
 
−
-Knowledge of key NLP techniques, including part-of-text tagging, syntactic parsing, information extraction, etc.
 
  
  
 +
The position concerns scientific coordination and transfer tasks in the context of the postgraduate programme Knowledge Discovery in Scientific Literature (http://www.kdsl.tu-darmstadt.de/), founded in 2013  at DIPF and TU Darmstadt, focusing on computational linguistics and language technology. It is nested in the research priority of “computer science for educational research”, newly established at the Information Centre for Education.  The successful candidate will collaborate closely with the Computer Science Department (Prof. Dr. Iryna Gurevych) at Technical University Darmstadt; the position is at the core of the newly established institutional focus on knowledge processing (http://www.werc.tu-darmstadt.de/) at DIPF and Technical University Darmstadt.
  
−
== Assistant Professor, Machine Learning ==
+
The successful candidate will be expected to coordinate research in the study and qualification programme of the postgraduate programme, monitor the postgraduate programme and its five students and contribute to the transfer of technology. Furthermore, we expect the successful candidate to actively engage in defining requirements, coordinating the assessment of needs and conducting user workshops.
−
* '''Employer''': The Ohio State University
 
−
* '''Rank or Title''': Assistant Professor, Tenure Track
 
−
* '''Specialty''': Machine Learning
 
−
* '''Location''': Columbus, OH
 
−
* '''Deadline''': Open until filled, application review begins November 2010.
 
−
* '''Date Posted''': October 6, 2010
 
−
* '''Contact''': http://www.cse.ohio-state.edu/department/positions.shtml
 
  
−
The Computer Science & Engineering Department at Ohio State has multiple
+
The position functions as an interface between research on automated analysis of research literature on the one hand and information services respectively information technologies at DIPF on the other. We aim to adapt innovative methods in computer science, language technology and information management to the educational researchers’ needs. These activities target novel means of access to digital science literature and on the web.
−
assistant professor openings this year, one of which is targeted for  
+
We welcome applications from excellently qualified postdoctoral candidates and (in exceptional cases) excellent graduates striving for further qualification in a scientific-technological field and in research management.
−
machine learning. Application review will begin in November. More
 
−
information can be found at the following site:
 
  
−
  http://www.cse.ohio-state.edu/department/positions.shtml
+
A contract will initially be signed for two years. TU Darmstadt offers an opportunity for further scientific qualification (i.e. doctoral degree, habilitation). The salary complies with TV-H (public service labour agreement in the state of Hesse). Applicants will principally be able to work part-time.  
  
 +
* Tarifvertrag für den öffentlichen Dienst des Landes Hessen (labour agreement for public service in the federal state of Hesse)
  
−
== Scientist/Sr. Scientist, Text Mining Biologist ==
 
−
* '''Employer''': Pfizer
 
−
* '''Rank or Title''': Scientist/Sr. Scientist, Text Mining Biologist
 
−
* '''Specialty''': Text Mining
 
−
* '''Location''': South San Francisco, CA
 
−
* '''Deadline''': Open until filled
 
−
* '''Date Posted''': August 26, 2010
 
−
* '''Contact''': http://www.pfizer.com
 
  
−
At Pfizer BioTherapeutics Division, Applied Quantitative Genotherapeutics (AQG) group, we are dedicated to developing and implementing investigative approaches focused on evaluating potential drug candidates and identifying new targets in preclinical models of disease. We use the latest scientific knowledge and apply novel approaches to discover new ways of treating disease. We encourage cooperation and support a high level of scientific freedom to find the best answers to biological questions. Located in South San Francisco, AQG provides the feel of a small start-up company with the resources of a large pharmaceutical company in the heart of the biotech capital of the world.
+
'''Requirements:'''
  
−
Responsibilities:
+
- A very good or excellent doctoral degree or likewise excellent diploma/masters degree in computer science, computational linguistics or a related subject domain;
 +
- Very good English language skills (written and spoken) and at least basic skills in German;
 +
- Ability to work independently, commitment to the task, the ability to work and communicate in a team and readiness to cooperate;
 +
- Experience in coordinating distributed software development and its Integration;
 +
- Experience in conceptualising and conducting events for scientists, users, and the public.
 +
- Preferably experience in information and text processing, machine learning, very good Java programming skills and knowledge of UIMA, experience with larger-scale software projects.
  
−
As part of the Applied Quantitative Genotherapeutics group, you will be working with a multi-disciplinary team using both bench biology and computational skills.  You will use your understanding of biology and text analytics to partner with, and support project teams and individuals in research, clinical or business units.
+
Candidates are expected to provide certification of their experience in scientific publishing, acquisition of external funding and project management.
  
−
You will assist in the specification of tools and methods for accessing, mining, and analyzing biomedical text. You will partner with Pfizer colleagues, publishers, and commercial vendors to evaluate, implement, test, and integrate best-in-class text mining capabilities.  You will assist in the creation of custom corpora that can be interrogated by, and integrated with the text mining capabilities described above.  You will assist in the evaluation, curation and administration of taxonomies, thesauri, and ontologies in compliance.  You will assist in quantifying the quality of text mining capabilities.  You will assist with testing, training, and communications related to the text mining capabilities described above, and perform related duties and manage special projects, as needed.  This position will be deployed in South San Francisco, but will interact seamlessly with a similar group in Cambridge MA.
+
Women are expressly invited to submit their application. According to the pursuant legal requirements, applicants with disabilities will be preferably treated in the appointment procedure.  
  
−
Qualifications:
 
  
−
MS or PhD required in the biomedical sciences (or equivalent) and a minimum of 1-3 years experience working in a biotechnology or pharmaceutical organization.  Applicants must have knowledge of text mining principles and practices, demonstrated experience in the application of ontologies, taxonomies, and thesauri for text mining purposes, and familiarity with commercial and public biomedical information sources and vendors.  Awareness of current and emerging text mining tools and trends, as demonstrated by active participation in professional organizations and in professional development activities, is also desired.  Must possess good verbal and written communication skills, as required for communications with colleagues, vendors and project teams.  Must be independent and self-motivated, with a propensity to seek out challenges and capitalize on new opportunities.
+
'''How to apply:'''
  
−
Please submit resumes for Requisition #942862 to www.pfizer.com
+
Candidates are requested to submit their application in electronic form (including CV and information regarding scientific work experience, university and work reports/references including electronic versions of the thesis and/or three key publications as well as names of two references), quoting the reference code (Referenz-Nr. IZB 2014-01). Please e-mail by February 14, 2014 to Prof. Dr. Iryna Gurevych, German Institute for International Educational Research (DIPF), Postfach 900270, 60442 Frankfurt am Main, Germany, i.e. office-ukp (at) dipf (dot) de. If you have any further questions, please contact Prof. Gurevych by e-mail: gurevych (at) dipf (dot) de.
  
  
−
== Research Scientist, Natural Language Processing ==
+
== Tenure-track Faculty Positions in Natural Language Processing, Institute of Information Science, Academia Sinica, Taipei, Taiwan ==
−
* '''Employer''': ETS (Educational Testing Service)
 
−
* '''Rank or Title''': Research Scientist, Natural Language Processing
 
−
* '''Specialty''': Research
 
−
* '''Location''': Princeton, New Jersey, United States, 08540
 
−
* '''Deadline''': Open until filled
 
−
* '''Date Posted''': July 21, 2010
 
−
* '''Contact''': [http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7023658 Apply Here]
 
  
 +
* Employer: Institute of Information Science, Academia Sinica
 +
* Rank or Title: Assistant/Associate/Full Research Fellow
 +
* Specialty: Chinese Natural Language Processing and Knowledge Representation
 +
* Location: Taipei, Taiwan
 +
* Deadline: Open until filled
 +
* Date Posted: January 7, 2014
 +
* Contact email: recruit@iis.sinica.edu.tw
  
−
<p>ETS (Educational Testing Service), with headquarters in Princeton, NJ, is a global $1.3BB not for profit organization dedicated to advancing educational excellence and a leader in educational research.  Our mission is to advance quality and equity in education as an innovator in developing achievement and occupational tests for clients in business, education and government.</p> <p>ETS Research & Development has an immediate opening for an Associate Research Scientist in the Center for Automated Scoring and Natural Language Processing.  This position will be responsible for a mixture of operational and research efforts related to ETS' automated scoring technologies housed in the Automated Scoring and Natural Language Processing group. These technologies include automated essay scoring (e-rater), scoring short answers for correctness of content (c-rater), mathematical equations and plots (m-rater), and scoring the spontaneous speech of English Language Learners (SpeechRater).</p> <p>Responsibilities of the position include but are not limited to:</p> <ul> <li>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.</li> <li>Develop and/or modify NLP theories to conceptualize and implement new capabilities in automated scoring and NLP analysis and evaluation systems which are used to improve assessments, learning tools and test development practices.</li> <li>Apply scientific, technical and software engineering skills in designing and conducting research studies and capability development in support of educational products and services.</li> <li>Develop and oversee the conduct of selected portions of research proposals and project budgets.</li> <li>Design and conduct complex scientific studies functioning as an expert in major facets of the projects.</li> <li>Assist in the conduct of research projects by accomplishing directed tasks according to schedule and within budget.</li> <li>Participate in dissemination activities through the publications of research papers, progress and technical reports, the presentation of seminars or other appropriate communication vehicles.</li> <li>Develop professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.</li> </ul>
+
'''Job Description:'''
  
−
<p>Requirements:</p> <ul> <li>Ph.D. in Natural Language Processing, Computational Linguistics or Computer Science with an emphasis on issues in syntactic and/or semantic analysis of text is desired.</li> <li>Familiarity with the application of NLP tools to educational problems, and a very strong statistical background and a solid experience with machine learning algorithms and tools would be an asset.</li> <li>Demonstrable contributions to new and/or modified theories of Natural Language Processing and their implementation in automated systems required.</li> <li>Practical expertise with NLP tools and fluency in at least one major programming language (e.g. Java, Perl, C/C++, Python) is also required.</li> </ul> <p>We offer a competitive salary, a stimulating work environment, attractive growth potential and excellent benefits including medical/dental, flexible spending, 403(b) with company match and more. Please apply directly online to the ETS Careers page at:ETS is an Equal Opportunity, Affirmative Action Employer.</p> <p>[http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=91476&type=&cfcend http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail]</p><br /> [http://www.apply-for-job.net/c/jobclick.cfm?site=10875&job=7023658 Apply Here]
+
The Institute of Information Science (IIS) at Academia Sinica, Taiwan invites all qualified candidates to apply for the positions of junior and senior research fellows of all ranks (equivalent to the ranks of tenure track assistant, associate and full professors in a regular academic department without teaching responsibility) in Chinese natural language processing and knowledge representation. Research on Chinese semantic analysis and parsing is particularly emphasized. Exceptional candidates in all areas of Computer Science are also encouraged to apply.
  
 +
Academia Sinica is a national academic research institution in Taiwan that conducts research on a broad spectrum of subjects in science and humanities. IIS is committed to high quality research in computer and information science and engineering. In addition to internal research funding supported by Academia Sinica, external funding through government agencies and industry-sponsored institutions is also available. Starting from 2014, we shall launch an International Ph. D. Program in Social Networks and Human-Centered Computing in collaboration with universities.
  
 +
Full-time research fellows are free to set their own research directions. IIS currently has about 40 full-time research fellows and close to 300 full-time post doctoral fellows and research assistants. The areas of current research include Systems Technology, Bioinformatics, Multimedia, Data Mining, Natural Language Processing, Network, Theory, and Programming Language.
  
 +
For additional information about IIS, please visit http://www.iis.sinica.edu.tw
  
−
== Programmer Analyst, Linguistic Data Consortium, Philadelphia, PA, USA ==
+
'''Required Qualifications:'''
−
* '''Employer''': Linguistic Data Consortium, the University of Pennsylvania, USA
 
−
* '''Rank or Title''': Programmer Analyst (#100328205)
 
−
* '''Specialty''': Corpus Creation, Annotation Tool Development
 
−
* '''Location''': Philadelphia, PA, USA
 
−
* '''Deadline''': Open until filled
 
−
* '''Date Posted''': June 24, 2010
 
−
* '''Contact''':  Please visit [http://jobs.hr.upenn.edu/applicants/Central?quickFind=191248 application URL]
 
  
−
This position will support LDC's language resource creation projects by providing programming, research and other technical support in a rapid prototyping environment, for multiple concurrent projects with evolving technical requirements. In collaboration with technical managers, non-technical project staff and external researchers, this candidate will assess technical requirements for projects, develop plans for satisfying those needs, and implement technical specifications within stringent deadlines and budget constraints.
+
All Candidates should have a Ph.D. degree in computer science or closely related fields with a strong research and publication record. Senior candidates must demonstrate strong leadership, and have an international reputation evidenced by publications, patents, industrial experiences, or other academic and scholarly achievements. Salary is commensurate with qualifications.
  
−
For further information or to apply online, visit the application URL above.
+
Fluency in Chinese is an advantage, but not required.
  
−
This position is contingent upon funding.
+
'''How to Apply:'''
  
−
Penn offers an excellent benefits package including medical/dental, retirement plans, tuition assistance and a minimum of 3 weeks paid vacation per year.
+
All candidates should send detailed curriculum vitae, and at least three letters of recommendation to
  
−
The University of Pennsylvania does not discriminate on the basis of race, color, sex, sexual orientation, gender identity, religion, creed, national or ethnic origin, citizenship status, age, disability, veteran status or any other legally protected class status in the administration of its admissions, financial aid, educational or athletic programs, or other University-administered programs or in its employment practices. Questions or complaints regarding this policy should be directed to the Executive Director of the Office of Affirmative Action and Equal Opportunity Programs, Sansom Place East, 3600 Chestnut Street, Suite 228, Philadelphia, PA 19104-6106; or (215) 898-6993 (Voice) or (215) 898-7803 (TDD).
+
Dr. Wen-Lian Hsu, Director
  
−
== Computational Linguist contracts (Several languages) ==
+
Institute of Information Science
−
* '''Employer''': The Lingua Team, LLC
 
−
* '''Rank or Title''': Computational linguist
 
−
* '''Specialty''': Grammar and syntax in foreign languages
 
−
* '''Location''': Redmond, WA, USA
 
−
* '''Deadline''': July 30, 2010
 
−
* '''Date Posted''': June 15, 2010
 
−
* '''Contact''':  The Lingua Team website[http://www.thelinguateam.com], or email [mailto:info@thelinguateam.com]
 
  
−
Description: The Lingua team provides linguistic services to IT companies worldwide.
+
Academia Sinica
  
−
We are looking for computational linguists to describe properties relevant to grammar checking for several language groups: Semitic,  
+
Nankang 115, Taipei, Taiwan
−
Romance, Slavic, Germanic, and Agglutinative. The actual list of languages includes: Arabic, Brazilian Portuguese, Bulgarian, Czech,
 
−
Danish, Dutch, European Portuguese, Finnish, Hebrew, Hungarian, Italian, Norwegian Bokmal, Polish, Romansh, Russian, Swedish, and
 
−
Turkish.
 
  
−
These positions require native or near native knowledge of the above languages to describe properties relevant to grammar checking for one or more of these languages.  
+
TEL: 886-2-2788-3799ext.1804
  
−
Required: Degreed
+
FAX:886-2-2782-4814
−
linguist with graduate-level studies with proven experience managing or performing computational linguistic work (syntax, morphology,
 
−
lexicography) in several languages. Self-starter, ability to work independently, excellent written communication skills. Work permit
 
−
for the USA.
 
  
−
Preferred: Experience writing rules in a formal system, ideally for style or grammar checking applications. Additional
+
E-mail: recruit@iis.sinica.edu.tw
−
Information: Contract full-time for three months, to be extended for a year depending on ability to meet the job demands. Though the location of this project is Redmond, WA (USA) working from your location after the initial training might be a possibility.
 
  
 +
== Computational Postdoc position, Johns Hopkins University, Cognitive Science ==
  
−
== Government internships (unpaid) in text classification and search ==
+
* Employer: Johns Hopkins University
−
* '''Employer''': U.S. Patents and Trademarks Office
+
* Rank or Title: Postdoctoral Fellow
−
* '''Rank or Title''': Student Volunteer
+
* Specialty: Computational Linguistics/Cognitive Science
−
* '''Specialty''': Computer and Information Science  
+
* Location: Baltimore, MD, USA
−
* '''Location''': Alexandria, VA, USA
+
* Deadline: February 17, 2014 or until filled
−
* '''Deadline''': October 08, 2010
+
* Date Posted: January 7, 2014
−
* '''Date Posted''': March 29, 2010
+
* Contact email: INSPIREpostdoc@jhu.edu
−
* '''Contact''':  [http://is.gd/b616r Listing at USAJOBS.gov]
 
  
−
Description:
+
'''Brief Job Description:'''
−
The USPTO is responsible for granting U.S. Intellectual Property
 
−
Rights for Patents and Trademarks and has been serving the economic
 
−
interests of America for more than 200 years.  The Office is a heavy
 
−
user of text analysis and search tools for both text and images, and
 
−
is in the midst of an entire redesign of its Information Technology
 
−
system.  This internship is an opportunity to make a difference to the
 
−
entire U.S. economy by applying your skills in user interface design
 
−
and evaluation, text classification algorithm design and evaluation,
 
−
and search interface and algorithm design and evaluation.  For more
 
−
information about the USPTO, please visit our website at
 
−
http://www.uspto.gov.
 
  
−
The Office of the Chief Information Technology (IT) Strategist is
+
Applications are invited for a postdoctoral position in the department of Cognitive Science at Johns Hopkins University.  
−
looking for enthusiastic individuals to design new and evaluate
 
−
existing interfaces and algorithms for text and image search, and for
 
−
text and image classification and comparison. Tasks will include some
 
−
combination of designing, programming, usability testing, and report
 
−
writing, with an option to write publishable research papers.
 
−
Projects include designing and testing algorithms and interfaces for
 
−
collaborative search, for integrated faceted classification into
 
−
search tools, for automating assignment of faceted classifications to
 
−
patent documents as well as to non-patent prior art, for allowing the
 
−
public as well as PTO employees to comment on and annotate documents,
 
−
and to compare the contents of structured text documents visually and
 
−
algorithmically.  Students with skills in designing tools for online
 
−
social interaction are also encouraged to apply.
 
  
 +
The appointee will play a central role in a recently-founded group project devoted to developing a novel type of computing that fuses neural network and symbolic computation. In this “Gradient Symbolic Computation“, data consists of discrete structures built of symbols that have continuous activation values. The project addresses human syntax and semantics.
  
−
Requirements:
+
Keywords: computational linguistics, neural network modeling, syntactic processing, vector-space semantics
  
−
- US CITIZENSHIP IS REQUIRED. SOCIAL SECURITY NUMBER IS REQUIRED.
+
'''Detailed Job Description:'''
  
−
- Applicants MUST be ENROLLED in A GRADUATE PROGRAM/SUBMIT TRANSCRIPT.
+
The project is funded by NSF’s new INSPIRE program, created to support unusually forward-looking, high-risk/high-return research. The position offers the appointee the opportunity to be a key player in the exciting intellectual environment of a highly interdisciplinary research team of leading faculty members collaborating intensively to break new ground at the foundations of computation and cognition. These faculty members are committed to contributing to the career development of the appointee, who will also have opportunities to pursue their own research projects and to gain experience in teaching. The faculty co-investigators consist of 6 professors from the Cognitive Science and Computer Science Departments at Johns Hopkins (those listed in http://www.nsf.gov/awardsearch/showAward?AWD_ID=1344269 plus Prof. C. Wilson) as well as Prof. M. Goldrick in the Linguistics Department at Northwestern.
  
−
- Applicants MUST submit ONE to THREE LETTERS OF RECOMMENDATION.
+
The ideal appointee will conduct development and extensive testing of:
  
−
See link above for more details.
+
* general-purpose software to support symbolic-level computation over gradient symbol structures
  
 +
* general-purpose software for simulating neural network implementations of this gradient symbolic computation
  
−
== Biomedical Text mining Position available, CNIO - Madrid, Spain ==
+
* new machine-learning algorithms, including deep compositional networks
  
−
* '''Employer''': Spanish National Cancer Research Center (CNIO)
+
* new theories of compositional vector-space semantics and new neural-network architectures for implementing them
−
* '''Rank or Title''': Project associate research position
 
−
* '''Specialty''': Biomedical Text mining
 
−
* '''Location''': Madrid, Spain
 
−
* '''Deadline''': March 01, 2010
 
−
* '''Date Posted''': Feb 01, 2010
 
−
* '''Contact''':  Martin Krallinger - mkrallinger@cnio.es
 
  
−
Description:
+
* new psycholinguistic models of human syntactic production and comprehension processes
−
The candidate will work within a multidisciplinary team involved in the development and application of biomedical text mining and natural language processing approaches.
 
  
−
The overall aim of this work is to develop and apply text mining and natural language processing technologies to biomedical literature, covering aspects related to automatic text classification using machine learning methods, the detection of entities of biological interest from text and the extraction and ranking of biological relations from the biomedical literature. A special focus will be given to certain topics such as cancer related literature and protein interactions.
+
Most critical is the work on general-purpose software. This work will be conducted in close collaboration with faculty whose expertise spans all project areas. Johns Hopkins is a world leader in computational approaches to language science and engineering.  
  
−
Expected outcomes will include fundamental research in biomedical text mining, publications in high-impact journals and development of biomedical text mining applications and services. The resulting strategies will be applied to process article abstracts, full text articles as well as clinical records.
+
The initial appointment is for one year, with an expectation of a second year, conditioned on satisfactory progress. Starting date is August 1, 2014.
  
−
Requirements:
+
'''How to Apply:'''
−
Applicants should possess an MSc (preferably a PhD) in biology, computer science or related areas with specific knowledge in Computer Science, Bioinformatics, Computational Linguistics, Statistics or Machine Learning or Text Mining.
 
  
−
1) Candidates should have the following qualifications:
+
Applications will be processed until the position is filled. For full consideration, applications and letters should be received by February 17, 2014. An application consists of a single PDF file including (i) a cover letter detailing the applicant’s interests in connection with the project, the qualifications they bring to the work, and the training they would like to receive from the position; (ii) a current CV; (iii) a document containing links to their relevant publications (ideally, integrated into the CV); (iv) a research statement describing their past, on-going, and planned future work; and (v) (optional) a statement concerning their teaching experience and interests. The application, along with three letters of recommendation, must be emailed to INSPIREpostdoc@jhu.edu. Please ensure that your name is in the Subject line of all materials that you AND your References submit.  
−
- Competitive software engineering skills (demonstrable knowledge of at least two programming languages such as python, C/C++, Java, Perl and the development of online web applications).
 
−
- A solid background and interest in statistical and machine learning methods
 
−
- Ability to develop algorithms and software for natural language processing/text mining systems
 
−
- Good English communication skills
 
−
- A strong interest in collaborating with experts from the biomedical, molecular biology and bioinformatics domains and text mining.
 
  
−
2) Other desirable skills and selection criteria include:
+
Johns Hopkins University is an Equal Opportunity, Affirmative Action employer; minorities, women, Vietnam-era veterans, disabled veterans and individuals with disabilities are encouraged to apply.
−
- Exposure to biomedical texts/domain.
 
−
- Familiarity with development of Web Services
 
−
- Well organized and have the ability to work in an interdisciplinary team.
 
−
- The publication record would be an advantage.
 
−
- Familiarity with NLP tasks such as named entity recognition, summarization, information extraction, and information retrieval will
 
−
be also highly desirable.
 
−
- Familiarity with some of the existing software that might be relevant to the research topic (like Weka, LibSVM, Lucene, GATE, NLTK, or Mallet).
 
−
- Interest in the evaluation of systems performance and community challenges.
 
−
 
 
−
Organization:
 
−
The Spanish National Cancer Centre (CNIO, Madrid, Spain - http://www.cnio.es/ing/index.asp) is one of the few European Cancer Centers to allocate resources to both basic and applied research in an integrated fashion, thus supporting the interaction of basic research programmes with those of molecular diagnostics and drug discovery. All CNIO programmes benefit from excellent equipment, technology, and technical services. The CNIO employs about 500 scientists, it offers excellent work conditions including competitive salary, and world-class computing infrastructure.
 
−
The Structural and Computational Biology Programme at CNIO, leaded by Dr. Alfonso Valencia integrates several research groups, including the Computational Biology group, a Bioinformatics support unit and the central node of the Spanish Bioinformatics Institute, a Genome Spain platform. The computational facilities and infrastructure cover all the needs of the research in modern text mining and NLP, computational biology and provides excellent grounds for the analysis of high-throughput genomic data.
 
−
The research group contributed significantly to the biomedical text mining research over the past years, from initial work related to the analysis of protein families, microarray data and protein interactions to the development of popular online applications such as the iHOP server or PLAN2L. Recent research efforts also promoted the organization of the BioCreative text-mining challenges, the development of the BioCreative metaserver and the BioCreative II.5 competition. The research group has a well-established international network of collaborations with other text mining groups, bioinformatics and biological database teams and experimental biomedical researches.
 
−
 
 
−
Salary:
 
−
Between 25,000 and 30,000 Euro / year depending qualifications. Contract for 2-3 years.
 
−
 
 
−
Application:
 
−
Requests for additional information or formal applications (including Application letters, extensive CV and PhD/MA thesis and the names of at least two references) can be sent to Martin Krallinger: mkrallinger@cnio.es
 
−
 
 
−
 
 
−
== Full Professor, Theoretical Computational Linguistics, Potsdam, Germany ==
 
−
 
 
−
* '''Employer''': Potsdam
 
−
* '''Rank or Title''': Full Professor (W3)
 
−
* '''Specialty''': Theoretical Computational Linguistics
 
−
* '''Location''': Potsdam, Germany
 
−
* '''Deadline''': Feb 20, 2010
 
−
* '''Date Posted''': Jan 21, 2010
 
−
* '''Contact''':  [http://www.ling.uni-potsdam.de] vasishth@uni-potsdam.de
 
−
 
 
−
Professorship (W3) in Theoretical Computational Linguistics, University of Potsdam
 
−
 
 
−
The University of Potsdam invites applications for the post of full professor in Theoretical Computational Linguistics. Theoretical Computational Linguistics at Potsdam plays an important role in connecting theoretical linguistics, clinical and psycholinguistics and computational linguistics. The ideal candidate will have expertise in one or more of these areas:
 
−
 
 
−
* Grammar formalisms and (probabilistic) parsing of natural language
 
−
* machine learning techniques for language processing
 
−
* computational semantics
 
−
 
 
−
Knowledge of symbolic and/or statistical methods and corpus-based methods is presupposed. The research profile of the candidate should fit into the interdisciplinary nature of the Excellence Center for Cognitive Sciences at Potsdam [http://www.uni-potsdam.de/humfak/hum-exzellenzbereich.html]. Participation is expected in the Collaborative Research Project (Sonderforschungsbereich 632), Information Structure: the linguistic means for structuring utterances, sentences and texts [http://www.sfb632.uni-potsdam.de/main.html], and in other projects related to cognitive science.  Experience in obtaining third-party funding and an international presence is desirable.
 
−
 
 
−
The University of Potsdam is an Equal Opportunity employer and is actively engaged in increasing the proportion of women in research and teaching; qualified women are therefore encouraged to apply. All other things being equal, handicapped candidates will be given preference.
 
−
 
 
−
Questions regarding the job opening should be directed to Shravan Vasishth (vasishth@uni-potsdam.de).
 
−
 
 
−
Applications should be received by February 20 2010, and should be sent to:
 
−
The President, University of Potsdam, Am Neues Palais 10, 14469 Potsdam, Germany
 

Revision as of 12:49, 27 March 2014

Postdoctoral Fellow / Bioinformatics Technology Lab / Genome Sciences Centre

  • Employer: University of British Columbia and BC Cancer Agency
  • Title: PostDoc
  • Specialty: Natural Language Processing, Machine Learning
  • Location: Vancouver, British Columbia, Canada
  • Deadline: Until filled
  • Date Posted: March 26, 2014

Job Description

The Genome Sciences Centre is seeking a Postdoctoral Fellow for the Bioinformatics Technology Lab to conduct scientific research in the areas of bioinformatics and genomics, specifically related to automated analysis and annotation of cancer research literature.

The successful applicant will work with trainees and research scientists in a team that develops tools for a clinical genomics pipeline based on primary sequence analysis, to build natural language processing and machine learning tools that interpret identified mutations for their biological significance as they relate to reports in the relevant literature.

Duties

Reporting to the Head of Bioinformatics Technology Lab, Dr. Inanc Birol, your typical duties will include the following:

  • Building natural language processing and machine learning tools for automated literature survey
  • Analysis and annotation of data from genomics studies as they relate to the literature
  • Collaborating with biologists and clinical researchers on the accuracy of the results
  • Reporting research methods and results in meetings, seminars and conferences
  • Contribution to and leading scientific publications and research proposals

Required Qualifications

The ideal candidate should possess a PhD degree and recent proven experience in computer science, electrical engineering or a related discipline. A strong publication record in the field, and demonstrated technical writing skills are highly desirable. Prior research experience in bioinformatics is also desirable, but not required.

More experienced candidates will be considered for a Staff Scientist position, pending successful funding.

How to Apply

Please send your resume with cover letter to bcgscjobs@bcgsc.ca We request that you specify the position you are applying for by identifying the Job Code only ("PDFBTL 14-03-27") in the subject line of your emailed application.

All qualified candidates are encouraged to apply; however, Canadian citizens and permanent residents will be given priority.

About Us

Genome Sciences Centre is a leading international institution for genomics and bioinformatics research. Our mandate is to advance knowledge about cancer and other diseases, to improve human health through disease prevention, diagnosis and therapeutic approaches, and to realize the social and economic benefits of genomics research.

For more information, please visit www.bcgsc.ca

PostDoc / NLP, Machine Learning, Medical Informatics / Worcester MA

  • Employer: University of Massachusetts Medical School
  • Title: PostDoc
  • Specialty: Natural Language Processing, Machine Learning
  • Location: Worcester, Massachusetts, United States, 01605
  • Deadline: Until filled
  • Date Posted: March 26, 2014


Job Description

We are seeking 1~2 highly motivated postdoctoral research associate to join the Biomedical Natural Language Processing (BioNLP) group at UMass Medical School and UMass Amherst. This position will primarily be located at the UMass Medical School in Worcester, MA. The BioNLP group is actively pursuing many exciting projects including: information retrieval, information extraction, summarization, question answering, data mining, and patient-centered research. A highly productive candidate may transition to a faculty position.


Responsibilities

The successful candidates will help investigate new algorithms to support our current research thrusts. This will require extensive experience with data mining (DM) and natural language processing (NLP).


Qualifications

Candidates for this position should have a PhD in Computer Science or related field and a significant research record including publications in top conferences and journals in:

  • Natural Language Processing
  • Machine Learning
  • Data Mining or Data Analysis

Proficiency in quantitative analytical methods and strong programming skills (e.g., python, matlab, java, C/C++, weka, etc.), along with extensive research experience in hands-on machine learning (ML) and data mining (DM), is essential. Additional experience in bioinformatics or figure search and analysis is desirable.

Successful applicants will join a vibrant collaborative research environment, will work closely with clinical investigators and senior personnel in the lab, and should have the ability to work effectively both independently and as part of a multidisciplinary team. The position will be for one year, renewable annually, starting Summer or Fall 2014.


How to Apply

Please apply by email to Prof. Hong Yu <hong.yu@umassmed.edu> and include a brief letter of introduction, a CV including list of publications in PDF format, and names and email addresses of 2-3 referees.


Background

Please see http://www.bio-nlp.org/postdoc-ad-2014.txt for more information.

Competitive Salary based on experience.

Knowledge Engineer / Bosch Research & Technology Center / Palo Alto, California

  • Employer: Bosch Research & Technology Center
  • Title: Knowledge Engineer (PhD)
  • Specialty: Natural Language Processing
  • Location: Palo Alto, California, United States, 94304
  • Deadline: Until filled
  • Date Posted: March 16, 2014

Job Description:

The Bosch Language Services group in Palo Alto, CA is a newly created organization intended to develop products with natural language technologies and systems, and provide services for Bosch Group. It is a fast growing team addressing the needs within and outside of the large Bosch organization. We work closely with internal partners, including corporate research and other business units, to create a new set of products and services for Bosch, based on our leading technologies in the field.

To strengthen our team, we are seeking enthusiastic and creative engineer in knowledge engineering and language processing to develop world class Bosch products.

Responsibilities:

  • Develop the next-generation software products in the areas of user interaction technologies and systems
  • Develop scalable and reliable solutions of such systems for 24/7 use
  • Develop knowledge engineering technologies and tools for different Bosch application fields
  • Manage knowledge development process and tool development

Qualifications:

  • Ph.D degree or equivalent in Computer Science, or related fields
  • Minimum 7 years of large scale software development experiences
  • Minimum 5 years of experience in knowledge engineering, ontology construction, and natural language processing.
  • Strong in coding (C, C++, Java), algorithms and system design
  • 5 years of hands-on experience in developing web service solutions and web applications.
  • Excellent communication skills (both writing and speaking)
  • In-depth experience in using speech recognition, and/or machine learning systems is a plus

How to Apply

For more information, and to apply online, please visit http://bit.ly/1odx96w

Research Director NLP and Speech Processing / Educational Testing Service / Princeton, New Jersey

  • Employer: Educational Testing Service
  • Title: Research Director NLP and Speech Processing
  • Specialty: Natural Language Processing / Speech Processing
  • Location: Princeton, New Jersey, United States, 08541
  • Deadline: Until filled
  • Date Posted: March 12, 2014

Job Description:

ETS (Educational Testing Service), is headquartered in Princeton, NJ. Our mission is to advance quality and equity in education by providing fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development.

Currently we are seeking a Research Director of the Natural Language Processing (NLP) and Speech Group to lead a team of 26 scientists and engineers in the research and development of innovative technologies to improve assessment. The Director also leads research that encourages the appropriate use of these technologies in operational settings and advances the state of the art in NLP and speech processing research in the education domain.

Specifically, you will be responsible for conceptualizing and pursuing a research agenda of fundamental and applied research in NLP and speech processing that will address current needs and anticipate future needs of education and assessment. This includes the development of technologies to automate or facilitate scoring of open-ended responses, support practices for developing tests and learning materials, safeguard the security and validity of assessments, enable technology-rich environments for assessment and learning, and provide automated performance feedback.

In addition, you will assume responsibility for the enhancement of a variety of existing ETS technologies that include e-rater (for automated scoring of essays), c-rater (for scoring content-based short answers), and SpeechRater (for scoring the spontaneous speech of English Language Learners), as well as the development of fundamentally new systems and methods.

Also, you be responsible for leading efforts to expand the use of ETS NLP and speech technologies. The Director will actively seek out opportunities for operational use of these technologies for both internal and external clients. This includes coordinating with ETS business units to understand market and client needs/trends, identify appropriate use contexts, develop the necessary research evidence to support operational use, and establish procedures for the transition of research technologies to production environments.

Requirements:

To qualify, you must possess:

  • A Doctoral degree in computer science, computational linguistics, linguistics, electrical engineering, or a related field
  • Eight years of progressively more independent research experience providing evidence of continuing and substantial contributions to a field of study are necessary, with experience managing research staff and transitioning the outcomes of research into operational practice desirable.
  • Excellent verbal and written communications skills, including public speaking, interpersonal and public relations skills, and writing and editing skills.

How to Apply:

Please apply online at: http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=160741&BUID=2538

Information about the institute:

We offer a competitive salary and excellent compensation package including medical, dental, vision, 403(b) retirement plan, life and disability insurance, paid time off and an employee assistance program.

With more than 3,400 global employees worldwide, ETS develops, administers and scores more than 50 million tests annually in more than 180 countries, at 9,000+ locations worldwide. In addition to assessments, we conduct educational research, analysis and policy studies and develop a variety of customized services and products for teacher certification, English language learning and elementary, secondary and postsecondary education. Equal Opportunity Employer

Research Intern in Natural Language Processing (NLP) / Text Mining / Digital Humanities

  • Employer: The Ubiquitous Knowledge Processing Lab (UKP Lab) in Darmstadt/Frankfurt
  • Title: Research Intern
  • Specialty: Natural Language Processing / Text Mining / Digital Humanities
  • Location: Darmstadt/Frankfurt am Main, Germany
  • Deadline: Until filled
  • Date Posted: January 20, 2014
  • Contact email: gurevych (at) cs (dot) tu-darmstadt (dot) de

Job Description:

The Ubiquitous Knowledge Processing Lab (UKP Lab) offers several exciting internship opportunities in cutting-edge research projects as

  • Research Intern in Natural Language Processing (NLP) / Text Mining / Digital Humanities

located either at the Computer Science Department of the Technische Universität Darmstadt or at the Information Center for Education at DIPF in Frankfurt (Germany)

The positions are situated within one of the Lab’s projects dealing with automatic text processing, linguistic and machine learning based methods of language analysis, corpus development for novel tasks, or tool support for users in NLP research and humanities. The Lab’s approach to NLP features the hybrid methods in large-scale language processing, real-world text mining, and hands-on skills in the rapid development of scalable systems with practical relevance.

The position is a fixed-term internship contract (6 months) with an option to extend it up to 1 year, provided certain conditions are met. A part-time working arrangement is possible. The internships are funded according to the level of qualification, previous experience, and formal criteria.

Requirements:

We are looking for internship students to work on one of the following areas: computational linguistics, text mining, or machine learning, with substantial theoretical knowledge, excellent problem-solving and programming (Java) skills for language processing, eagerness to apply the knowledge and skills in new contexts, and interest to participate in the Lab’s internationally competitive research. The ability to work independently, personal commitment, teamwork and communication skills, and a readiness to cooperate are required. The ability to speak German as well as previous experience in NLP, text-mining, or digital humanities are beneficial, but is not a job requirement.

We welcome applications of students at all levels of study (bachelor, master) as well as graduate-level applications. The position is ideally suited to acquire research experience abroad (also as required by the ongoing study program of an applicant), or qualify as a Master-, PhD-student, or a research associate at one of the leading universities, and for a competitive industry position.


How to Apply:

Applications (including CV, details of previous academic work, at least two educational and professional references, and final thesis in electronic form) should be submitted to gurevych (at) cs (dot) tu-darmstadt (dot) de.


Information about the institute:

The Computer Science Department of the Technische Universität Darmstadt is regularly ranked among the best in Germany. The Ubiquitous Knowledge Processing Lab (UKP Lab) in Darmstadt/Frankfurt (http://www.ukp.tu-darmstadt.de/) led by Professor Iryna Gurevych offers an excellent research environment. The distinguishing features of its research are novel linked lexical semantic resources, algorithms for semantic language analysis (for example, word sense disambiguation, or semantic role labeling), and text-mining (for example, topic recognition, or opinion analysis). The ongoing research projects closely cooperate with users of the developed technologies in humanities, e.g. in educational research, text interpretation in philosophy, corpus linguistics, or history sciences. Within the graduate program “Knowledge Discovery in Scientific Literature” (http://www.kdsl.tu-darmstadt.de/), the UKP Lab is networked with multiple groups in machine learning, statistical NLP and information management.


Research Scientist for Automated Language Processing / Text Mining / Digital Humanities, German Institute for International Educational Research (DIPF), Frankfurt am Main

  • Employer: The German Institute for International Educational Research (DIPF)
  • Title: Research Scientist
  • Specialty: Automated Language Processing / Text Mining / Digital Humanities
  • Location: Frankfurt am Main, Germany
  • Deadline: February 14, 2014
  • Date Posted: January 13, 2014
  • Contact email: gurevych (at) dipf (dot) de

Information about the institute:

The German Institute for International Educational Research (DIPF) (http://www.dipf.de/) n Frankfurt am Main, Germany, is a member of the Gottfried Wilhelm Leibniz Association of Sciences. As a national centre for educational research and educational information, it is jointly funded by the federal government (Bund) and the states (Länder).

As a scientific institution and member of the Leibniz Association, DIPF targets high-quality fundamental research as well as a research-based development of innovative scientific services. It addresses education as a public domain with high visibility and high importance. By bringing together competencies, DIPF and Computer Science at TU Darmstadt are setting up a priority domain of knowledge processing and computer science in education. In relevant national rankings, the Computer Science department at TU Darmstadt regularly holds top positions. In 2012, the UKP-DIPF group was established: its unique features include semantic language processing, text mining and information retrieval as well as powerful infrastructures for evaluating and aggregating knowledge.


Job Description:

At DIPF, the research unit “Ubiquitous Knowledge Processing Lab“ at the Information Center for Education (located in Frankfurt am Main, Germany) is looking for an

  • Research Scientist for Automated Language Processing / Text Mining / Digital Humanities (three-year contract, full time, EG13 TV-H*)

The position is situated in the context of the project “Die Welt der Kinder: Weltwissen und Weltdeutung in Schul- und Kinderbüchern zwischen 1850 und 1918“ [children’s worlds: knowledge and interpretation of the world in textbooks and children’s books from 1850 to 1918], subject to the Leibniz competition for excellence. Here, DIPF collaborates with the Georg-Eckert Institute for International Textbook Research (Brunswick) and the Institute for Language Technology and Information Science (University of Hildesheim).

The project targets research into historical textbooks and children’s books - and the analysis of world views children grew up with. In the project, classical qualitative methods used in historical sciences to analyse texts that are charged with interpretation will be interlinked with automatic indexing and semantic annotation of historical sources by means of semantic language processing methods. First and foremost, Topic Detection and Opinion Mining methods will be explored and further developed. So far, no training data exist for the analysis of historical texts in German. Thus, the appointment addresses a genuine task in the context of innovative digital humanities, targeting the implementation of unsupervised and adaptive language processing methods. Another innovative aspect concerns the close collaboration with users and the linkage of intellectual with automated methods of analysis.

The position is integrated into a highly dynamic environment at DIPF and TU Darmstadt. At DIPF, the successful candidate will co-operate with researchers in the growing domain of “Ubiquitous Knowledge Processing”, with computer science and educational research groups and information services, e.g. the Research Library for the History of Education (BBF) at DIPF. At TU Darmstadt, a close co-operation exists concerning the UKP Lab (Prof. Dr. Iryna Gurevych), and research groups focusing text and data mining as well as partners from digital humanities projects at Darmstadt and at national levels (DARIAH-DE, CLARIN and LOEWE priority “Digital Humanities“ in the state of Hesse).

We invite excellently qualified postgraduates or excellent graduates from relevant study courses to apply (Computer Science, Computational Linguistics or related subjects).

Owing to the duration of the project, a contract will be signed for three years. TU Darmstadt offers an opportunity for further scientific qualification (i.e. doctoral degree, habilitation). The salary complies with TV-H (public service labour agreement in the state of Hesse). Applicants will principally be able to work part-time. 

* Tarifvertrag für den öffentlichen Dienst des Landes Hessen (labour agreement for public service in the federal state of Hesse)

Requirements:

  • Doctoral degree or diploma/master degree in Computer Science, Computational Linguistics or other relevant subjects;
  • Preferably very good programming skills in Java and Web technologies; knowledge of UIMA;
  • Very good English language skills (written and spoken) and at least basic knowledge of German;
  • Ability to work independently, commitment to the task, the ability to work and communicate in a team and readiness to co-operate;

Experience in automated language processing, text mining or digital humanities is preferred.

Women are expressly invited to submit their application. According to the pursuant legal requirements, applicants with disabilities will be preferably treated in the appointment procedure.


How to apply:

Candidates are requested to submit their application in electronic form (including CV and information regarding scientific work experience, university and work reports/references including electronic versions of the thesis and/or three key publications as well as names of two references), quoting the reference code (Referenz-Nr. IZB 2014-02). Please e-mail by February 14, 2014 to Prof. Dr. Iryna Gurevych, German Institute for International Educational Research (DIPF), Postfach 900270, 60442 Frankfurt am Main, Germany, i.e. office-ukp (at) dipf (dot) de. If you have any further questions, please contact Prof. Gurevych by e-mail: gurevych (at) dipf (dot) de.


Research Scientist in scientific coordination and transfer in computer science, knowledge and language processing, German Institute for International Educational Research (DIPF), Frankfurt am Main

  • Employer: The German Institute for International Educational Research (DIPF)
  • Title: Research Scientist
  • Specialty: scientific coordination and transfer in computer science, knowledge and language processing
  • Location: Frankfurt am Main, Germany
  • Deadline: February 14, 2014
  • Date Posted: January 13, 2014
  • Contact email: gurevych (at) dipf (dot) de

Information about the institute:

The German Institute for International Educational Research (DIPF) (http://www.dipf.de/) n Frankfurt am Main, Germany, is a member of the Gottfried Wilhelm Leibniz Association of Sciences. As a national centre for educational research and educational information, it is jointly funded by the federal government (Bund) and the states (Länder).

As a scientific institution and member of the Leibniz Association, DIPF targets high-quality fundamental research as well as a research-based development of innovative scientific services. It addresses education as a public domain with high effectiveness and high importance. In relevant national rankings, the Computer Science department at TU Darmstadt regularly holds top positions. Its unique character is marked by excellent competencies in the fields of knowledge discovery on the web focusing on semantic language technology: text mining and information retrieval. By bringing competencies together, DIPF - with Computer Science at TU Darmstadt - has set up an institutional priority domain on knowledge processing and computer science in education.

Job Description:

At DIPF, the Information Center for Education (located in Frankfurt am Main) is looking for a

  • Research Scientist (two-year contract, full time, EG13 TV-H*)

for tasks in the field of scientific coordination and transfer in computer science, knowledge and language processing.


The position concerns scientific coordination and transfer tasks in the context of the postgraduate programme Knowledge Discovery in Scientific Literature (http://www.kdsl.tu-darmstadt.de/), founded in 2013 at DIPF and TU Darmstadt, focusing on computational linguistics and language technology. It is nested in the research priority of “computer science for educational research”, newly established at the Information Centre for Education. The successful candidate will collaborate closely with the Computer Science Department (Prof. Dr. Iryna Gurevych) at Technical University Darmstadt; the position is at the core of the newly established institutional focus on knowledge processing (http://www.werc.tu-darmstadt.de/) at DIPF and Technical University Darmstadt.

The successful candidate will be expected to coordinate research in the study and qualification programme of the postgraduate programme, monitor the postgraduate programme and its five students and contribute to the transfer of technology. Furthermore, we expect the successful candidate to actively engage in defining requirements, coordinating the assessment of needs and conducting user workshops.

The position functions as an interface between research on automated analysis of research literature on the one hand and information services respectively information technologies at DIPF on the other. We aim to adapt innovative methods in computer science, language technology and information management to the educational researchers’ needs. These activities target novel means of access to digital science literature and on the web. We welcome applications from excellently qualified postdoctoral candidates and (in exceptional cases) excellent graduates striving for further qualification in a scientific-technological field and in research management.

A contract will initially be signed for two years. TU Darmstadt offers an opportunity for further scientific qualification (i.e. doctoral degree, habilitation). The salary complies with TV-H (public service labour agreement in the state of Hesse). Applicants will principally be able to work part-time. 

* Tarifvertrag für den öffentlichen Dienst des Landes Hessen (labour agreement for public service in the federal state of Hesse)


Requirements:

- A very good or excellent doctoral degree or likewise excellent diploma/masters degree in computer science, computational linguistics or a related subject domain; - Very good English language skills (written and spoken) and at least basic skills in German; - Ability to work independently, commitment to the task, the ability to work and communicate in a team and readiness to cooperate; - Experience in coordinating distributed software development and its Integration; - Experience in conceptualising and conducting events for scientists, users, and the public. - Preferably experience in information and text processing, machine learning, very good Java programming skills and knowledge of UIMA, experience with larger-scale software projects.

Candidates are expected to provide certification of their experience in scientific publishing, acquisition of external funding and project management.

Women are expressly invited to submit their application. According to the pursuant legal requirements, applicants with disabilities will be preferably treated in the appointment procedure.


How to apply:

Candidates are requested to submit their application in electronic form (including CV and information regarding scientific work experience, university and work reports/references including electronic versions of the thesis and/or three key publications as well as names of two references), quoting the reference code (Referenz-Nr. IZB 2014-01). Please e-mail by February 14, 2014 to Prof. Dr. Iryna Gurevych, German Institute for International Educational Research (DIPF), Postfach 900270, 60442 Frankfurt am Main, Germany, i.e. office-ukp (at) dipf (dot) de. If you have any further questions, please contact Prof. Gurevych by e-mail: gurevych (at) dipf (dot) de.


Tenure-track Faculty Positions in Natural Language Processing, Institute of Information Science, Academia Sinica, Taipei, Taiwan

  • Employer: Institute of Information Science, Academia Sinica
  • Rank or Title: Assistant/Associate/Full Research Fellow
  • Specialty: Chinese Natural Language Processing and Knowledge Representation
  • Location: Taipei, Taiwan
  • Deadline: Open until filled
  • Date Posted: January 7, 2014
  • Contact email: recruit@iis.sinica.edu.tw

Job Description:

The Institute of Information Science (IIS) at Academia Sinica, Taiwan invites all qualified candidates to apply for the positions of junior and senior research fellows of all ranks (equivalent to the ranks of tenure track assistant, associate and full professors in a regular academic department without teaching responsibility) in Chinese natural language processing and knowledge representation. Research on Chinese semantic analysis and parsing is particularly emphasized. Exceptional candidates in all areas of Computer Science are also encouraged to apply.

Academia Sinica is a national academic research institution in Taiwan that conducts research on a broad spectrum of subjects in science and humanities. IIS is committed to high quality research in computer and information science and engineering. In addition to internal research funding supported by Academia Sinica, external funding through government agencies and industry-sponsored institutions is also available. Starting from 2014, we shall launch an International Ph. D. Program in Social Networks and Human-Centered Computing in collaboration with universities.

Full-time research fellows are free to set their own research directions. IIS currently has about 40 full-time research fellows and close to 300 full-time post doctoral fellows and research assistants. The areas of current research include Systems Technology, Bioinformatics, Multimedia, Data Mining, Natural Language Processing, Network, Theory, and Programming Language.

For additional information about IIS, please visit http://www.iis.sinica.edu.tw

Required Qualifications:

All Candidates should have a Ph.D. degree in computer science or closely related fields with a strong research and publication record. Senior candidates must demonstrate strong leadership, and have an international reputation evidenced by publications, patents, industrial experiences, or other academic and scholarly achievements. Salary is commensurate with qualifications.

Fluency in Chinese is an advantage, but not required.

How to Apply:

All candidates should send detailed curriculum vitae, and at least three letters of recommendation to

Dr. Wen-Lian Hsu, Director

Institute of Information Science

Academia Sinica

Nankang 115, Taipei, Taiwan

TEL: 886-2-2788-3799ext.1804

FAX:886-2-2782-4814

E-mail: recruit@iis.sinica.edu.tw

Computational Postdoc position, Johns Hopkins University, Cognitive Science

  • Employer: Johns Hopkins University
  • Rank or Title: Postdoctoral Fellow
  • Specialty: Computational Linguistics/Cognitive Science
  • Location: Baltimore, MD, USA
  • Deadline: February 17, 2014 or until filled
  • Date Posted: January 7, 2014
  • Contact email: INSPIREpostdoc@jhu.edu

Brief Job Description:

Applications are invited for a postdoctoral position in the department of Cognitive Science at Johns Hopkins University.

The appointee will play a central role in a recently-founded group project devoted to developing a novel type of computing that fuses neural network and symbolic computation. In this “Gradient Symbolic Computation“, data consists of discrete structures built of symbols that have continuous activation values. The project addresses human syntax and semantics.

Keywords: computational linguistics, neural network modeling, syntactic processing, vector-space semantics

Detailed Job Description:

The project is funded by NSF’s new INSPIRE program, created to support unusually forward-looking, high-risk/high-return research. The position offers the appointee the opportunity to be a key player in the exciting intellectual environment of a highly interdisciplinary research team of leading faculty members collaborating intensively to break new ground at the foundations of computation and cognition. These faculty members are committed to contributing to the career development of the appointee, who will also have opportunities to pursue their own research projects and to gain experience in teaching. The faculty co-investigators consist of 6 professors from the Cognitive Science and Computer Science Departments at Johns Hopkins (those listed in http://www.nsf.gov/awardsearch/showAward?AWD_ID=1344269 plus Prof. C. Wilson) as well as Prof. M. Goldrick in the Linguistics Department at Northwestern.

The ideal appointee will conduct development and extensive testing of:

  • general-purpose software to support symbolic-level computation over gradient symbol structures
  • general-purpose software for simulating neural network implementations of this gradient symbolic computation
  • new machine-learning algorithms, including deep compositional networks
  • new theories of compositional vector-space semantics and new neural-network architectures for implementing them
  • new psycholinguistic models of human syntactic production and comprehension processes

Most critical is the work on general-purpose software. This work will be conducted in close collaboration with faculty whose expertise spans all project areas. Johns Hopkins is a world leader in computational approaches to language science and engineering.

The initial appointment is for one year, with an expectation of a second year, conditioned on satisfactory progress. Starting date is August 1, 2014.

How to Apply:

Applications will be processed until the position is filled. For full consideration, applications and letters should be received by February 17, 2014. An application consists of a single PDF file including (i) a cover letter detailing the applicant’s interests in connection with the project, the qualifications they bring to the work, and the training they would like to receive from the position; (ii) a current CV; (iii) a document containing links to their relevant publications (ideally, integrated into the CV); (iv) a research statement describing their past, on-going, and planned future work; and (v) (optional) a statement concerning their teaching experience and interests. The application, along with three letters of recommendation, must be emailed to INSPIREpostdoc@jhu.edu. Please ensure that your name is in the Subject line of all materials that you AND your References submit.

Johns Hopkins University is an Equal Opportunity, Affirmative Action employer; minorities, women, Vietnam-era veterans, disabled veterans and individuals with disabilities are encouraged to apply.

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