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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 2008]]
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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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== Research Scientist, Natural Language Processing, Educational Testing Service, Princeton, NJ, USA ==
+
== 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
  
−
* '''Employer:''' Educational Testing Service, Princeton, NJ, USA
+
'''Job Description'''
−
* '''Title:''' Research Scientist, Natural Language Processing
 
−
* '''Specialty:''' Software development, NLP, Machine Learning, Educational Applications
 
−
* '''Deadline:''' Open until filled
 
−
* '''Date Posted:''' December 15, 2009
 
−
* '''Contact:''' Kevin Murray kmurray AT davisadv DOT com
 
−
* '''Links to website:''' [http://www.ets.org]
 
  
−
Headquartered in Princeton, NJ, ETS is the world’s premier educational measurement institution and a leader in educational research. As an innovator in developing achievement and occupational tests for clients in business, education and government, we are determined to advance educational excellence for the communities we serve.
+
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.  
  
−
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’s 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™).  
+
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.  
  
−
Responsibilities of the position include, but are not limited to:
+
'''Duties'''
−
*Providing 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.
 
−
*Developing and/or modifying NLP theories to conceptualize and implement new capabilities in automated scoring and NLP analysis and evaluation systems that are used to improve assessments, learning tools and test development practices.
 
−
*Applying scientific, technical and software engineering skills in designing and conducting research studies and capability development in support of educational products and services.
 
−
*Developing and overseeing the conduct of selected portions of research proposals and project budgets.
 
−
*Designing and conducting complex scientific studies functioning as an expert in major facets of the projects.
 
−
*Assisting in the conduct of research projects by accomplishing directed tasks according to schedule and within budget.
 
−
*Participating in dissemination activities through the publication of research papers, progress and technical reports; the presentation of seminars; or other appropriate communication vehicles.
 
−
*Developing professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.
 
  
−
Requirements:
+
Reporting to the Head of Bioinformatics Technology Lab, Dr. Inanc Birol, your
−
*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.
+
typical duties will include the following:
−
*Familiarity with the application of NLP tools to educational problems; a very strong statistical background and solid experience with machine learning algorithms and tools would be an asset.
 
−
*Demonstrable contributions to new and/or modified theories of natural language processing and their implementation in automated systems required.
 
−
*Practical expertise with NLP tools and fluency in at least one major programming language (e.g., Java, Perl, C/C++, Python) are also required.
 
  
−
ETS offers competitive salaries, outstanding benefits, a stimulating work environment and attractive growth potential. ETS is an Equal Opportunity, Affirmative Action Employer.
+
* 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
  
−
How to Apply:
+
'''Required Qualifications'''
  
−
Please visit our Careers page at www.ETS.org and apply directly for position #79756. Please include a cover letter stating job title and salary requirements.
+
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.
  
−
== Senior Software Systems Engineer (NLP), Educational Testing Service, Princeton, NJ, USA ==
+
More experienced candidates will be considered for a Staff Scientist position, pending
 +
successful funding.
  
−
* '''Employer:''' Educational Testing Service, Princeton, NJ, USA
+
'''How to Apply'''
−
* '''Title:''' Senior Software Systems Engineer
 
−
* '''Specialty:''' Software development, NLP, Machine Learning, Educational Applications
 
−
* '''Deadline:''' Open until filled
 
−
* '''Date Posted:''' December 2, 2009
 
−
* '''Contact:''' Derrick Higgins dhiggins AT ets DOT org
 
−
* '''Links to website:''' [http://www.ets.org]
 
  
−
The Educational Testing Service has a group of about 12 researchers dedicated to natural language processing and speech analysis. Much of this work focuses on methods for automatically scoring responses (such as essays or monologues) to open-ended test items, or to providing instructional feedback to test takers based on their responses.  A selected bibliography of the group’s work can be found at http://ets.org/research/erater.html.
+
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 currently looking to hire a software engineer with a strong NLP background.  The official job posting, together with application instructions, is at: http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=79723&type=main&cfcend
+
All qualified candidates are encouraged to apply; however, Canadian citizens and permanent
−
(You can also go to http://ets.pereless.com/careers/index.cfm, and search for Job ID 79723.)
+
residents will be given priority.  
  
−
Qualified candidates should
+
'''About Us'''
−
* be highly skilled in Java, Perl, and Python programming
 
−
* be familiar with UNIX tools and scripting languages
 
−
* have a demonstrated commitment to software development best practices, including documentation, reusable code design, and integrated software testing
 
−
* have a strong grasp of computational algorithms and elementary statistics
 
  
−
Ideal candidates should also have experience with natural language processing and speech processing applications. Desired qualifications include:
+
Genome Sciences Centre is a leading international institution for genomics and bioinformatics
−
* An understanding of different statistical classification techniques, and the strengths and weaknesses of each
+
research. Our mandate is to advance knowledge about cancer and other diseases, to improve human
−
* A grasp of the levels of linguistic analysis (syntax, semantics, morphology, phonology) and typical computational approaches applied at each level in corpus-based research
+
health through disease prevention, diagnosis and therapeutic approaches, and to realize the
−
* Experience with machine learning toolkits such as Weka, Mallet, libsvm, SVMLite, and See5
+
social and economic benefits of genomics research.
−
* Experience with machine learning and natural language processing resources such as WordNet, parsers, taggers, and information retrieval systems
 
  
−
Above all, candidates should be flexible, self-motivated, and team-oriented.
+
For more information, please visit www.bcgsc.ca
  
−
M. Sc. In computer science, computational linguistics, or a related field is highly desirable.
+
== 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
  
−
== Research Associates in Text Mining (2 posts), National Centre for Text Mining, University of Manchester, UK ==
 
  
−
* '''Employer:''' National Centre for Text Mining (NaCTeM), University of Manchester, UK
+
'''Job Description'''
−
* '''Title:''' Research associates in Text Mining (2 posts)
 
−
* '''Specialty:''' Text Mining, Machine Learning
 
−
* '''Deadline:''' 14th December, 2009
 
−
* '''Date Posted:''' 1st December, 2009
 
−
* '''Contact:''' Prof. Sophia Ananiadou sophia.ananiadou AT manchester.ac.uk
 
−
* '''Links to website:''' [http://www.nactem.ac.uk NaCTeM]
 
  
−
We are seeking to hire two research Associates in Text Mining to join the National Centre for Text Mining at the School of Computer Science, University of Manchester.
+
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.
  
−
You will join a strong and dynamic team of 19 text miners and software engineers and will customise existing text mining tools and services of the National Centre for Text Mining (NaCTeM) for improved searching using terminology extraction, named entity recognition and fact extraction from full texts. Other services to be developed include semantic search, summarisation and question-answering facilities for institutional repositories.
 
  
−
You should have a PhD in Computer Science, ideally in Text Mining, or have research experience in text mining at an equivalent level. You should also have experience of active learning machine learning techniques; and have an excellent research profile (publication record).
+
'''Responsibilities'''
  
−
The posts are available immediately until December 2011.
+
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).
  
−
Salary £28,839 - £35,469 p.a.
 
  
−
To apply, please visit http://www.manchester.ac.uk/aboutus/jobs/research/vacancy/index.htm?ref=167398
+
'''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:
  
−
== Computational Linguistics Engineer, Disney Interactive Media Group (North Hollywood, CA) ==
+
* Natural Language Processing
 +
* Machine Learning
 +
* Data Mining or Data Analysis
  
−
* '''Employer:''' Disney Interactive Media Group
+
Proficiency in quantitative analytical methods and strong programming
−
* '''Title:''' Computational Linguistics Engineer
+
skills (e.g., python, matlab, java, C/C++, weka, etc.), along with
−
* '''Specialty:''' see job description
+
extensive research experience in hands-on machine learning (ML) and
−
* '''Deadline:''' Open until filled
+
data mining (DM), is essential. Additional experience in
−
* '''Date Posted:''' Nov 05, 2009
+
bioinformatics or figure search and analysis is desirable.
−
* '''Contact:''' Graciel Cecilio graciel.cecilio@disney.com
 
−
* '''Links to website:''' http://www.dimgcareers.com or http://www.disney.com
 
  
 +
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.
  
−
As a Sr. Staff Engineer you will be extensively involved in the design and implementation of Disney online communities. Reporting to the Chief Architect of Disney online studios, you will be responsible for the selection, design, architecture, implementation, features, and enhancements to Disney online community language systems. You will also be responsible for giving technical guidance and support to our major online ventures in the area of language base communications and safe uses thereof. This position is key in our efforts to allow for meaningful but safe online environments for a younger audience.
 
  
−
'''JOB RESPONSIBILITIES'''  
+
'''How to Apply'''
−
#Lead and champion the usage of natural language technologies to help Disney provide a safe and meaningful online experience.
 
−
#Procure, design, develop, and document community - communication software components.
 
−
#Provide training, guidance, mentoring and leadership to personnel.
 
−
#Research third-party technologies.
 
−
#Interface with external vendors to coordinate integration of technologies.
 
−
#Interface with product teams to define requirements and schedules for technologies.
 
  
 +
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.
  
−
'''QUALIFICATIONS FOR POSITION'''
 
−
#Degree in Linguistics or related field or 10+ year minimum experience.
 
−
#Degree in Software Development or 10+ years minimum experience
 
−
#A commitment to excellence and ability to help lead Disney in this effort.
 
−
#Have a track record of leveraging natural language methodologies in a real-world, high performance, high scalability on-line environment
 
−
#Strong communication skills.
 
−
#Ability to work closely with profit driven initiatives and incorporate Language based system into these ventures.
 
−
#Proactively researching and evaluating new technologies with the ability to select best methods and techniques.
 
−
#Presenting technical issues, solutions and status to senior and executive management
 
  
 +
'''Background'''
  
−
'''SPECIFIC SKILLS REQUIRED'''
+
Please see http://www.bio-nlp.org/postdoc-ad-2014.txt for more information.
−
#Computation complexity of natural Language.  
 
−
#Language corpus analysis and usage.  
 
−
#A love of Fun, Games and Children.  
 
−
#A strong appreciation of the Disney brand.  
 
  
 +
Competitive Salary based on experience.
  
−
'''Please send your CV/resume to Graciel Cecilio graciel.cecilio at disney dot com
+
== Knowledge Engineer / Bosch Research & Technology Center / Palo Alto, California ==
  
−
More about DIMG'''
+
* 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
  
−
Disney Interactive Media Group (DIMG) is the division of The Walt Disney Company responsible for the creation and delivery of Disney branded interactive entertainment and informational content across multiple platforms including online, mobile and video game consoles around the globe.
+
'''Job Description:'''
  
−
DIMG oversees several lines of business. Disney Interactive Studios, which has five internal game development studios around the world, self publishes and distributes a broad portfolio of multi-platform video games, mobile games and interactive entertainment worldwide. Disney Online produces Disney.com, the No. 1 kids entertainment and family community Web site, for multiple platforms including PCs and mobile phones, as well as the Disney Family Network of Web sites for moms. Additionally, Disney Online develops and publishes an industry leading suite of online virtual worlds for kids and families. Disney Interactive Studios and Disney Online work together to leverage the platform-specific expertise of the collective group to create a line of interconnected, multiplatform interactive entertainment experiences. Disney Mobile Japan includes the Disney Mobile phone service as well as the region’s highly successful mobile content business. DIMG also develops new online technologies and distribution platforms and operates the online technical backbone and infrastructure that power the Web presence of The Walt Disney Company including category leaders ESPN.com, ABC.com, and ABCNEWS.com. DIMG is headquartered in North Hollywood, Calif., with content available directly or through third parties in many major markets worldwide, including the Americas, Europe, and Asia Pacific.
+
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.  
  
−
== Trainee position for a computational linguist specialising in multilingual technology, The Language Technology Centre (London, UK) ==
+
To strengthen our team, we are seeking enthusiastic and creative engineer in knowledge engineering and language processing to develop world class Bosch products.
  
−
* '''Employer:''' The Language Technology Centre (LTC)
+
'''Responsibilities:'''
−
* '''Title:''' Computational Linguist
 
−
* '''Specialty:''' see job description
 
−
* '''Deadline:''' Open until filled
 
−
* '''Date Posted:''' Oct 28, 2009
 
−
* '''Contact:''' Nadia Portera-Zanotti <nadia.portera-zanotti AT langtech.co.uk>
 
  
−
* '''Links to website:''' http://www.langtech.co.uk
+
* 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:'''
  
−
[http://www.langtech.co.uk LTC] and [http://www.agile-web.com Agile Web Solutions]  are building a web platform with a multilingual technology backend and semantic features in the medical domain. We are looking for a trainee for at least six, ideally 12 months with the possibility of an employment contract afterwards, starting from February 2010 or earlier.
+
* 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
  
−
The candidate should be able to do the following:
+
'''How to Apply'''
  
−
# Speak at least 2 of the three languages English, German or Spanish fluently
+
For more information, and to apply online, please visit http://bit.ly/1odx96w
−
# Align bilingual corpora (training can be provided) and populate a statistics based machine translation  system and a translation memory system with them
 
−
# Encode terminology in a user dictionary of a rule based machine translation system. This requires knowledge about morphological, syntactic and semantic properties of lexical items and multiword terms and some encoding experience in this respect
 
−
# Test MT output and fine tune system
 
−
# Evaluate machine translation quality using the BLEU score, user response etc.
 
−
# Have basic programming skills in .NET, Java, PHP or similar
 
−
# Work well within a team and liaise with external language technology developers.
 
  
 +
== Research Director NLP and Speech Processing / Educational Testing Service / Princeton, New Jersey ==
  
−
Please send your CV and other relevant information per e-mail to Nadia Portera-Zanotti <nadia.portera-zanotti AT langtech.co.uk>
+
* 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
  
−
More information is available on our websites: http://www.langtech.co.uk and http://www.agile-web.com
+
'''Job Description:'''
  
−
We look forward to receiving your application.
+
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.
  
−
== Science Annotator, J.D. Power and Associates, Boulder, CO ==
+
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.
−
 
 
−
{|
 
−
| '''&#8226; Employer:'''        ||Web Intelligence Division, J.D. Power and Associates (McGraw-Hill)
 
−
|-
 
−
| '''&#8226; Title, Rank:'''      ||Science Annotator.
 
−
|-
 
−
| '''&#8226; Specialty:'''        ||Linguistics, Computational Linguistics.
 
−
|-
 
−
| '''&#8226; Location:'''        ||Boulder, Colorado.
 
−
|-
 
−
| '''&#8226; Start date:'''      ||The position is available immediately.
 
−
|-
 
−
| '''&#8226; Date Posted:'''      ||September 15th, 2009.
 
−
|-
 
−
| '''&#8226; Links to website:''' ||http://jdpowerwebintelligence.com
 
−
|-
 
−
| '''&#8226; Contact:'''          ||Miriam Eckert <miriam_eckertNOSPAM@jdpa.com>; Nicolas Nicolov <nicolas_nicolovNOSPAM@jdpa.com> [remove six chars]
 
−
|}
 
−
 
 
−
 
 
−
J.D. Power and Associates, Web Intelligence division is growing and hiring top-notch science annotators as members of the science team to address creation of datasets for training and testing advanced machine learning algorithms for web mining. We work on cutting-edge text analysis of vast amounts of data, scalable information retrieval, learning semantic concepts and inducing ontologies, sentiment and demographic analysis, and lots of cool new stuff.
 
  
 +
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:'''
 
'''Requirements:'''
  
−
:&#8226; Recent M.A. in Linguistics: knowledge of English grammar (dependency structures), semantics, coreference and anaphora resolution (computational liguistics experience is a plus);
+
To qualify, you must possess:
−
:&#8226; Native English speaker;
+
* A Doctoral degree in computer science, computational linguistics, linguistics, electrical engineering, or a related field
−
:&#8226; Experience with UNIX shell scripting, programming experience with scripting languages like Scala, Ruby or Python for formatting datasets, knowledge of XML is a plus;
+
* 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.
−
:&#8226; Experience with WordNet and ontologies is a plus;
+
* Excellent verbal and written communications skills, including public speaking, interpersonal and public relations skills, and writing and editing skills.
−
:&#8226; Prior annotation experience is a plus;
 
−
:&#8226; Excellent reading comprehension and writing skills;
 
−
:&#8226; Strong experience with Microsoft Office applications: MS Excel, PowerPoint, MS-Word;
 
−
:&#8226; Experience with using search engines (Bing, Google, Yahoo! Search);
 
−
:&#8226; Effective communication skills, analitical thinking, and ablity to work independently and in a team environment;
 
−
:&#8226; Fluency in a foreign language is a plus;
 
−
:&#8226; Enthusiam for solving challenging problems.
 
−
:&#8226; Must be located in or willing to relocate to Boulder, Colorado.
 
−
:&#8226; Must be legally authorized to work in the United States.
 
  
 +
'''How to Apply:'''
  
 +
Please apply online at: http://ets.pereless.com/careers/index.cfm?fuseaction=83080.viewjobdetail&CID=83080&JID=160741&BUID=2538
  
−
== Associate Professorship in Natural Language Processing, University of Oslo ==
+
'''Information about the institute:'''
  
−
* '''Employer:''' [http://www.ifi.uio.no Department of Informatics], [http://www.uio.no University of Oslo]
+
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.  
−
* '''Title:''' Associate Professor (tenured)
 
−
* '''Specialization:''' data-driven and hybrid approaches to NLP
 
−
* '''Deadline:''' Friday, October 9, 2009
 
−
* '''Announcement:''' [http://www.emmtee.net/ap.09.09.html job posting]
 
  
−
== Text Mining Positions, JULIE Lab (Germany) ==
+
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
  
−
* '''Employer:''' JULIE Lab, Friedrich-Schiller-Universität Jena, Germany
+
== Research Intern in Natural Language Processing (NLP) / Text Mining / Digital Humanities ==
−
* '''Title:''' Post doc or Ph.D.
 
−
* '''Specialty:''' NLP
 
−
* '''Deadline:''' Open until filled
 
−
* '''Date Posted:''' Aug 26, 2009
 
−
* '''Contact:''' Katrin Tomanek <katrin.tomanek@uni-jena.de>
 
  
−
* '''Links to website:''' [http://www.julielab.de JULIE Lab Web Site]
+
* 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
  
−
The Jena University Language & Information Engineering (JULIE) Lab has two vacant text mining positions available, a Post Doc and a Ph.D. position, to boost its research efforts in advanced text analytics, i.e., named entity and relation extraction, knowledge discovery from texts. Annual salary ranges from 40,000 – 45,000 € (approximately 60,000 $) for the post doc position and 35,000 – 40,000 € (approximately 55,000 $) for the Ph.D. position, both dependent on previous work experience. JULIE Lab has a strong reputation in biomedical information extraction and text mining and is an international leader in research in the field of text analytics (please, visit http://www.julielab.de).
+
'''Job Description:'''
  
 +
The Ubiquitous Knowledge Processing Lab (UKP Lab) offers several exciting internship opportunities in cutting-edge research projects as
  
−
Requirements for Candidates:
+
* Research Intern in Natural Language Processing (NLP) / Text Mining / Digital Humanities
  
−
*  outstanding degree in computational linguistics/language technology or related fields in computer science (information retrieval, data mining, artificial intelligence, machine learning, information systems, human-computer interaction, Semantic Web, etc.) from a major school/department/university
+
located either at the Computer Science Department of the Technische Universität Darmstadt or at the Information Center for Education at DIPF in Frankfurt (Germany)  
−
* necessary: good proficiency in statistics and machine learning methodologies
 
−
* desired: solid information extraction/text mining skills
 
−
* excellent programming skills (Java), awareness of software engineering discipline in coding (UIMA, coding conventions, SE tools, etc.)
 
−
* background knowledge in the life sciences (can also be acquired or deepened while staying in the lab)
 
−
* strong dedication to scientific excellence
 
  
 +
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.
  
−
Informal inquiries can be addressed to:
+
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.  
−
Katrin Tomanek, Friedrich-Schiller-Universität Jena, Email: katrin.tomanek@uni-jena.de
 
  
−
Applications (e-mail preferred) should be sent to:
+
'''Requirements:'''
−
Prof. Dr. Udo Hahn, Friedrich-Schiller-Universität Jena, 07743 Jena, Fürstengraben 30, Germany, Email: udo.hahn@uni-jena.de
 
−
 
 
−
== Programmer Analyst, Linguistic Data Consortium, University of Pennsylvania (Philadelphia, PA, USA) ==
 
−
 
 
−
* '''Employer:''' Linguistic Data Consortium, University of Pennsylvania
 
−
* '''Title:''' Programmer Analyst (Ref #: 090727106)
 
−
* '''Specialty:''' Language Resource Creation, Natural Language Processing
 
−
* '''Deadline:''' Open untill filled
 
−
* '''Date Posted:''' Aug 12, 2009
 
−
* '''Contact:''' Kazuaki Maeda <maeda@ldc.upenn.edu>
 
−
 
 
−
* '''Links to website:''' [https://jobs.hr.upenn.edu/applicants/Central?quickFind=190206 Online Application] [http://www.ldc.upenn.edu/ LDC Web Site]
 
  
−
Linguistic Data Consortium at the University of Pennsylvania has an immediate opening for a full-time programmer analyst to support our
+
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.  
−
rapidly growing linguistic resource creation projects, including the DARPA Machine Reading program.
 
  
−
Duties: This position will support multiple, concurrent language resource creation projects by providing programming, technical and research support in a lead capacity.  Working with internal and external stakeholders, the position will develop achievable technical roadmaps for each project and will oversee their execution.
+
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.  
  
−
Tasking may include:
 
  
−
# design and develop flexible user interfaces for manual annotation of linguistic data
+
'''How to Apply:'''
−
# prepare linguistic resources for annotation, including indexing and format normalization
 
−
# negotiate project technical specifications with key internal and external stakeholders
 
−
# develop data formats to support collection and annotation tasks
 
−
# research, evaluate and integrate third-party software into LDC's data production pipeline
 
−
# perform statistical analysis of linguistic data
 
−
# train and supervise full-time or part-time technical staff
 
−
# assist with corpus publication including data validation and sanity checks
 
−
# provide technical support to linguistic annotators and other project staff
 
−
# represent technical aspects of LDC's linguistic resource creation efforts at workshops and in publications, as required.
 
  
−
This position is contingent upon funding.  For further information or to apply online, please go to [https://jobs.hr.upenn.edu/applicants/Central?quickFind=190206 Online Application].  The University of Pennsylvania is an affirmative action/equal opportunity employer.
+
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:'''
  
−
== Research Programmer, University of Illinois, Urbana, Illinois  ==
+
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.
  
−
* '''Employer:''' University of Illinois, Urbana, Illinois
 
−
* '''Title:''' Research Programmer
 
−
* '''Specialty:''' Natural Language Processing, Machine Learning, Web Programming
 
−
* '''Deadline:''' July 10, 2009-
 
−
* '''Date Posted:''' June 21, 2009
 
−
* '''Contact:''' Jennifer Dittmar at 217-244-6241
 
−
* '''Links to website:''' [http://www.cs.uiuc.edu/join/aponlap.html]
 
  
−
    Visiting Research Programmer
+
== Research Scientist for Automated Language Processing / Text Mining / Digital Humanities, German Institute for International Educational Research (DIPF), Frankfurt am Main ==
−
    Department of Computer Science
 
−
    University of Illinois Urbana-Champaign
 
−
    Extended and Revised Search
 
  
−
The Department of Computer Science is seeking a Visiting Research Programmer to take part in the development of Natural Language Processing and Machine Learning technologies embedded in a Web-based application.
+
* 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
  
−
This position requires knowledge in one or more of the following: information retrieval techniques and tools, natural language processing, language models, machine learning techniques, and web programming (e.g., browsers plug-ins). Algorithmic maturity and experience dealing with large amounts of data are essential. Outstanding attention to detail is required, along with strong written and verbal communication skills and the ability to quickly learn new technologies. The Visiting Research Programmer will join the Cognitive Computation Group led by Prof. Dan Roth, to work on a standalone project with possibilities for commercialization.
+
'''Information about the institute:'''
  
−
Job Duties include:
+
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).
  
−
    * Designing and implementing algorithms, software systems and user interfaces
+
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.
−
    * Writing design documents and code documentation
 
−
    * Interacting with other group members and presenting technical information
 
  
−
A minimum of a Bachelor's degree in Computer Science or a related field is required. Individuals with a more advanced degree are encouraged to apply and salary will be commensurate with level of education and experience. This position will be available as soon as possible after the closing date, and is a 12-month, temporary, full-time academic professional appointment with standard University benefits with the possibility of becoming permanent at a future date. Salary is commensurate with education and experience. For full consideration, applications should be received by 7/10/09. Applicants may be interviewed before the closing date; however, no hiring decision will be made until after that date.
 
  
−
To apply, please submit your application online at: http://www.cs.uiuc.edu/join/aponlap.html.
+
'''Job Description:'''
  
−
If you do not have Internet access, please call Jennifer Dittmar at 217-244-6241 to make other arrangements for submitting your application. Refer to search #12309 in all communications.
+
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
  
−
Minorities, women, and other designated class members are encouraged to apply.
+
* Research Scientist for Automated Language Processing / Text Mining / Digital Humanities (three-year contract, full time, EG13 TV-H*)
  
−
The University of Illinois is an Affirmative Action-Equal Opportunity Employer.
+
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.
  
−
== Postdoc or doctoral research assistant, Bremen University, Bremen, Germany  ==
+
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).
  
−
* '''Employer:''' Bremen University, Bremen, Germany
+
We invite excellently qualified postgraduates or excellent graduates from relevant study courses to apply (Computer Science, Computational Linguistics or related subjects).
−
* '''Title:''' Research assistant (Postdoc or doctoal level)
 
−
* '''Specialty:''' Dialogue Systems and Human-Robot Interaction
 
−
* '''Deadline:''' June 15, 2009
 
−
* '''Date Posted:''' May 17, 2009
 
−
* '''Contact:''' John Bateman <bateman@uni-NOSPAM-bremen.de> [remove 6 chars]
 
−
* '''Links to website:''' [http://www.diaspace.uni-bremen.de | Research Position]
 
  
−
The I5-DiaSpace project of the Collaborative Research Center on
+
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.  
−
Spatial Cognition in Bremen, N. Germany, is looking for a
 
−
computational linguistic or informatics PhD or Postdoc researcher
 
−
ready and willing to take on the further development of our
 
−
information-state based dialogue system. The system backbone is
 
−
implemented in Java with plug-ins to state of the art natural language
 
−
analysis, generation, dialogue management, and knowledge
 
−
representation components. The system offers an outstanding foundation
 
−
for carrying out further research at both doctoral and postdoc
 
−
levels. The successful applicant will be expected to take over
 
−
responsibility for system design and implementation, and so excellent
 
−
programming skills will be crucial. The selection of research topic
 
−
within the general area of dialogue systems is open to negotiation,
 
−
although spatially-situated dialogue with autonomous systems including
 
−
robots is one of the demonstration areas that we cover. The position
 
−
is to be filled as quickly as possible.
 
  
−
The Natural Language Interaction Group at Bremen is a highly
+
* Tarifvertrag für den öffentlichen Dienst des Landes Hessen (labour agreement for public service in the federal state of Hesse)
−
multidisciplinary team combining discourse analysts, psycholinguists,
 
−
computational linguists and ontological engineers. We work in close
 
−
cooperation with several projects within the Collaborative Research
 
−
Center, which spans cognitive science, neurocognition, perception,
 
−
formal spatial calculi, architecture, and AI. The environment is
 
−
highly international and at the cutting edge of several related
 
−
disciplines.
 
  
 
'''Requirements:'''
 
'''Requirements:'''
  
−
:&#8226; completed first degree in computational linguistics, artificial intelligence, linguistics, informatics or similar
+
* Doctoral degree or diploma/master degree in Computer Science, Computational Linguistics or other relevant subjects;
−
:&#8226; interest in dialogue
+
* Preferably very good programming skills in Java and Web technologies; knowledge of UIMA;
−
:&#8226;  very good programming skills (necessarily Java; Lisp, Perl, etc. advantageous)
+
* Very good English language skills (written and spoken) and at least basic knowledge of German;
−
:&#8226;  good English writing skills
+
* Ability to work independently, commitment to the task, the ability to work and communicate in a team and readiness to co-operate;
−
:&#8226;  ability to work both independently and in a team in a  multidisciplinary environment 
 
  
−
'''Approximate salary:'''
+
Experience in automated language processing, text mining or digital humanities is preferred.
  
−
Payment is according to the German Federal pay scale (TV-L 13,
+
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.  
−
approx. 34,000 Euros annually). The position is full-time.
 
  
−
Interested applicants should send their CV and any supporting
 
−
information or further queries to John Bateman at the above contact
 
−
address.
 
  
 +
'''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.
  
−
== Scientist I, J.D. Power and Associates, Boulder, CO ==
 
  
−
{|
 
−
| '''&#8226; Employer:'''        ||Web Intelligence Division, J.D. Power and Associates (McGraw-Hill)
 
−
|-
 
−
| '''&#8226; Title, Rank:'''      ||Scientist I.
 
−
|-
 
−
| '''&#8226; Specialty:'''        ||Machine Learning, Computational Linguistics, Natural Language Processing.
 
−
|-
 
−
| '''&#8226; Location:'''        ||Boulder, Colorado.
 
−
|-
 
−
| '''&#8226; Start date:'''      ||The position is available immediately.
 
−
|-
 
−
| '''&#8226; Date Posted:'''      ||May 1st, 2009.
 
−
|-
 
−
| '''&#8226; Links to website:''' ||http://jdpowerwebintelligence.com
 
−
|-
 
−
| '''&#8226; Contact:'''          ||Nicolas Nicolov <nicolas_nicolovNOSPAM@jdpa.com> [remove six chars]
 
−
|}
 
  
 +
== Research Scientist in scientific coordination and transfer in computer science, knowledge and language processing, German Institute for International Educational Research (DIPF), Frankfurt am Main ==
  
−
J.D.Power and Associates is growing and hiring top-notch scientists to develop cutting-edge web mining technology. Our science team is working on advanced text analysis of vast amounts of data, scalable information retrieval, learning semantic concepts and lots of cool new stuff.
+
* 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
  
−
'''Requirements:'''
+
'''Information about the institute:'''
  
−
:&#8226; Recent Ph.D. in Machine Learning, Computational Linguistics, Artificial Intelligence, Computer Science or equivalent.
+
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).
−
:&#8226; Strong statistical, natural language processing, machine learning background with emphasis on coreference, meronymy, dependency parsing, sentiment/opinion analysis, text clustering and categorization, graph analysis.
 
−
:&#8226; Experience with scientific computing on large datasets, natural language processing, information extraction, information retrieval, multilingual datasets, distributed systems is a plus.
 
−
:&#8226; Strong experience with C++/Java, Scala/Ruby/Python development of large software systems, Linux/Windows environments.
 
−
:&#8226; Proven track record of publications/patents preferred.
 
−
:&#8226; Multilingual processing is a plus.
 
−
:&#8226; Strong verbal and written communication skills; UML, LaTEX, beamer.
 
−
:&#8226; At least 4 years of research experience (relevant university experience - ok).
 
−
:&#8226; Enthusiasm for solving challenging problems.
 
  
 +
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.
  
−
== Research Position in Computational Linguistics at Austrian Research Institute for AI (OFAI), Vienna ==
+
'''Job Description:'''
  
−
* '''Employer:''' OFAI, Vienna, Austria
+
At DIPF, the Information Center for Education (located in Frankfurt am Main) is looking for a
−
* '''Title:''' Researcher
 
−
* '''Specialty:''' Computational Linguistics
 
−
* '''Deadline:''' April 15, 2009
 
−
* '''Date Posted:''' March 30, 2009
 
−
* '''Links to website:''' [http://www.ofai.at/research/nlu/]
 
  
−
The Austrian Research Institute for Artificial Intelligence (OFAI)
+
* Research Scientist (two-year contract, full time, EG13 TV-H*)
−
in Vienna, Austria offers two research positions in its Language
 
−
Technology group.
 
  
−
Candidates are expected to have a degree in computational linguistics
+
for tasks in the field of scientific coordination and transfer in computer science, knowledge and language processing.
−
or computer science with a background in language technology.
 
−
She/he will be an open minded team worker, who is able
 
−
to work creatively in an interdisciplinary context. She/he will have
 
−
good programming skills and be able to flexibly use different
 
−
programming languages. She/he likes to to work in a research environment
 
−
constantly learning and developing fresh concepts and ideas.
 
−
Publishing research results is part of the job and actively encouraged.
 
−
The successful candidates will have a strong background in one or more of
 
−
the following areas: ontology engineering, semantic systems, text mining
 
−
and machine learning.
 
  
−
Fluency in English is expected.
 
  
−
Both positions are in the framework of a project aiming at advancing
+
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.
−
speech recognition by the integration of (context-dependent) semantic
 
−
knowledge. The project is ongoing and will continue until April 2010.
 
  
−
Contracts will be for the duration of the project.
+
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.
−
Continued employment after the end of the project is possible.
 
  
−
Depending on academic credentials and experience of the candidate,
+
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.
−
the yearly gross salary will be in the range of EUR 42000 - 54000.
+
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.
  
−
Both positions are to be filled asap.
+
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.  
  
−
Please mail applications including a CV to Harald Trost <harald.trost@ofai.at>
+
* Tarifvertrag für den öffentlichen Dienst des Landes Hessen (labour agreement for public service in the federal state of Hesse)
  
  
−
==Postdoctoral Fellowship at the Institut de Recherche en Informatique de Toulouse (IRIT) Université de Toulouse 3==
+
'''Requirements:'''
−
 
 
−
Subject : Applying learning techniques to discourse analysis
 
−
 
 
−
Période : 12 months, September 2009 -> August 2010
 
−
 
 
−
Context :
 
−
This postdoctoral fellowship, is part of the ANR project
 
−
ANNODIS, which includes the labs: IRIT (Université de Toulouse 3), CLLE (Université
 
−
de Toulouse 2), and GREYC Université de Caen).  The goal of this project is to
 
−
build a corpus of French texts annotated with discourse structure at several levels.  The project also has the goal of providing automatic and semi-automatic tools for helping with this task.
 
−
 
 
−
The postdoctoral fellow will be a member of the IRIT lab at l'université de Toulouse 3, Toulouse, in the research group Lilac under the direction of
 
−
Nicholas Asher.
 
−
 
 
−
Objectives :
 
−
Based on the data culled from the manual annotation of our corpus, the first objective of the postdoctoral fellow will be to design and supervise experiments for the automatic recovery of the discourse structure of a text and to evaluate the feasibility of semi supervised and supervised learning strategies given the data in the corpus.  A discourse structure is a graph where the nodes are text segments and the arcs are discourse relations.  Thus, the extraction task  has three stages: 1) finding the segments, 2) determining the attachment points for segments in the graph et 3) determining the discourse relation or relations between the attached segments.
 
−
 
 
−
The postdoctoral fellow will also be in charge of the final collection and organization of the manual annotation data.
 
−
 
 
−
Candidate should have:
 
−
- a Ph.D.
 
−
- competence in NLP and/or information extraction, and automated learning methods.
 
−
 
 
−
A familiarity with theories of discourse structure would be a Plus.
 
−
 
 
−
 
 
−
Salary: 3000 euro per month
 
−
 
 
−
Candidates should send a dossier with a detailed CV (pdf) by email to:
 
−
asher@irit.fr AND muller@irit.fr.
 
−
 
 
−
 
 
−
== Post-Doctoral Position in Computational Linguistics at Uppsala University ==
 
−
 
 
−
* '''Employer:''' Uppsala University, Sweden
 
−
* '''Title:''' Research Fellow
 
−
* '''Specialty:''' Computational Linguistics
 
−
* '''Deadline:''' April 24, 2009
 
−
* '''Date Posted:''' March 17, 2009
 
−
* '''Links to website:''' [http://stp.lingfil.uu.se/~nivre/docs/PostdocUU.pdf | Post-Doc Position]
 
−
 
 
−
This is a full-time, limited-term position that can maximally be extended up to four
 
−
years. The position involves a small amount of teaching and supervision but is mainly
 
−
devoted to research. The deadline for applications is April 14, 2009. For more
 
−
information, contact Joakim Nivre <joakim.nivre@lingfil.uu.se>.
 
−
 
 
−
 
 
−
== Research Positions, Human Language Technology Center of Excellence ==
 
−
 
 
−
* '''Employer:''' Human Language Technology Center of Excellence (at Johns Hopkins University)
 
−
* '''Titles:''' Postdoctoral researchers, research staff, professors on sabbaticals, visiting scientists
 
−
* '''Specialty:''' Speech and Natural Language Processing
 
−
* '''Deadline:''' April 1, 2009
 
−
* '''Date Posted:''' March 12, 2009
 
−
* '''Links to website:''' [http://web.jhu.edu/HLTCOE/opportunities.html | Research Position]
 
−
 
 
−
The Human Language Technology Center of Excellence (COE) at the Johns Hopkins University is seeking to hire outstanding Ph.D. researchers in the field of speech and natural language processing. The COE seeks the most talented candidates for both junior and senior level positions including, but not limited to, full-time research staff, professors on sabbaticals, visiting scientists and post-docs. Candidates will be expected to work in a team setting with other researchers and graduate students at the Johns Hopkins University, the University of Maryland College Park and other affiliated institutions.
 
  
−
Candidates should have a strong background in one of the following areas:
+
- 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.
  
−
- NATURAL LANGUAGE PROCESSING: Information extraction, knowledge distillation, machine translation, semantic annotation, text processing, etc.
+
Candidates are expected to provide certification of their experience in scientific publishing, acquisition of external funding and project management.
  
−
- SPEECH PROCESSING: Robust speech recognition across language channel, formal vs. informal genres, speaker identification, language identification, speech retrieval, spoken term detection, etc.
+
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.  
  
−
- MACHINE LEARNING: Learning on very large datasets and streams for text and/or speech, feature extraction, domain adaptation, semi-supervised learning
 
  
−
The COE was founded in January 2007 and has a long-term research contract as an independent center within Johns Hopkins University. Located next to Johns Hopkins’ Homewood Campus in Baltimore, Maryland, the COE’s distinguished contract partners include the University of Maryland College Park, the Johns Hopkins University Applied Physics Lab, and BBN Technologies of Cambridge, Massachusetts.  World-class researchers at the COE focus on fundamental challenge problems critical to finding solutions for real-world problems of importance to our government sponsor. The COE offers substantial computing capability for research that requires heavy computation and massive storage. In the summer of 2009, the COE will hold its first annual Summer Camp for Advanced Language Exploration (SCALE), inviting the best and brightest researchers to work on common areas in speech and NLP. Researchers are expected to publish in peer-reviewed venues.
+
'''How to apply:'''
  
−
Applicants should have earned a Ph.D. in Computer Science or a closely related field. Applicants should submit a curriculum vitae, research statement, names and addresses of at least four references, and an optional teaching statement. Please send applications and inquiries about the position to hltcoe-hiring@jhu.edu.
+
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.
  
−
While applications will be evaluated as received until the position is filled, applicants are strongly encouraged to indicate intent to apply by contacting the center before April 1, 2009. U.S. Citizenship is required and applicants should note citizenship status on their application. Additionally, security clearance is required and the COE will seek a clearance for those who do not already have one. The Johns Hopkins University is an equal opportunity employer and has a smoke-free environment.
 
  
 +
== Tenure-track Faculty Positions in Natural Language Processing, Institute of Information Science, Academia Sinica, Taipei, Taiwan ==
  
−
== Chair and Lectureship in Computing Science, Aberdeen ==
+
* 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
  
−
* '''Employer:''' University of Aberdeen
+
'''Job Description:'''
−
* '''Titles:''' Chair (full professor), Lecturer (assistant professor)
 
−
* '''Specialty:''' See full adverts. Areas include multi-modal interaction and natural language generation
 
−
* '''Deadline:''' April 13, 2009
 
−
* '''Date Posted:''' February 26, 2009
 
−
* '''Links to website:''' [http://www.abdn.ac.uk/jobs/display.php?recordid=NAT016A | Chair position] [http://www.abdn.ac.uk/jobs/display.php?recordid=NAT017A | Lectureship position] [http://www.csd.abdn.ac.uk/research | Research at Aberdeen]
 
  
 +
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.
  
−
== Natural Language Generation Group, The Open University: Research Associate, Text-to-Text Generation/Dialogue ==
+
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.
  
−
* '''Employer:''' The Open University
+
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.
−
* '''Title:''' Research Associate
 
−
* '''Specialty:''' Text-to-Text Generation/Dialogue
 
−
* '''Deadline:''' February 15, 2009
 
−
* '''Date Posted:''' February 3, 2009
 
−
* '''Link to website:''' [http://www3.open.ac.uk/employment/job-details.asp?id=4373&ref=ext| job details and application form]
 
  
 +
For additional information about IIS, please visit http://www.iis.sinica.edu.tw
  
−
== Postdoctoral and research engineer positions available at the Singapore Management University ==
+
'''Required Qualifications:'''
  
−
The School of Information Systems at the Singapore Management University is seeking to fill a few postdoctoral and research engineer positions for the projects "Transfer Learning for Adaptive Relation Extraction" and "Mining Interaction Behaviors from Information Exchange Networks."  These are two-year projects supported by the Singapore Defense Science Organization, starting in April 2009.  
+
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.
  
−
The goal of the first project is to develop adaptive learning algorithms for relation extraction from free text. In real applications of relation extraction, there is often insufficient training data available for the target relations in the target domain, but labeled data from related domains or for related relation types can be borrowed. The research questions to be answered are therefore (1) how existing transfer learning algorithms can be applied in the particular context of relation extraction, (2) how human knowledge can be incorporated, and (2) what new transfer learning techniques are needed for adaptive relation extraction.
+
Fluency in Chinese is an advantage, but not required.
  
−
The goal of the second project is to study characterization and measurement of interaction behaviors in information exchange networks based on user-generated interaction data.  We will focus on information exchange networks which involve actors sending information to one another.  Examples of such networks include email and blog networks. The research will focus on interaction behaviors that suggest actor roles in an information exchange network and may infer relationships between actors in the network.
+
'''How to Apply:'''
  
−
The postdoctoral candidate must have completed all requirements for his/her PhD degree by the time of appointment. The research engineer candidate must have completed a good undergraduate or master degree in computer science or computer engineering.  The ideal candidates are expected to have the following skills/qualifications:
+
All candidates should send detailed curriculum vitae, and at least three letters of recommendation to
  
−
  - Knowledge and experience in machine learning, data mining and statistics/probabilities
+
Dr. Wen-Lian Hsu, Director
−
  - Strong programming skills
 
−
  - Proficiency in English
 
  
−
For the first project, we also prefer candidates with
+
Institute of Information Science
  
−
  - Knowledge and experience in natural language processing
+
Academia Sinica
−
  - Experience with information extraction, transfer learning and/or semi-supervised learning is a plus
 
  
−
For the second project, we also prefer candidates with
+
Nankang 115, Taipei, Taiwan
  
−
  - Knowledge in social network analysis and web mining
+
TEL: 886-2-2788-3799ext.1804
  
−
The salary for the postdoctoral position will be around 5,000 SGD per month.  The salary for the research engineer position will be based on the candidate’s working experience and academic degree.
+
FAX:886-2-2782-4814
  
−
To apply for the positions, send your full CV with list of publications, names and contact information of two referees, a statement of research qualifications and interests, and two sample publications (if any) to the following principle investigators:  
+
E-mail: recruit@iis.sinica.edu.tw
  
−
  1. Transfer Learning for Adaptive Relation Extraction: Jing Jiang (jingjiang@smu.edu.sg).
+
== Computational Postdoc position, Johns Hopkins University, Cognitive Science ==
−
  2. Mining Interaction Behaviors from Information Exchange Networks: Ee-Peng Lim (eplim@smu.edu.sg).
 
  
 +
* 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
  
−
== Tenure Track Faculty Position: Assistant/Associate Professor in Human Computer Interaction, Montclair State University, NJ, USA ==
+
'''Brief Job Description:'''
  
−
Vacancy #: VF-22
+
Applications are invited for a postdoctoral position in the department of Cognitive Science at Johns Hopkins University.  
−
Department: Computer Science
 
−
 
−
The Department of Computer Science invites applications for a tenure track position in Human Computer Interaction (HCI) and Visualization. The Department’s 13 faculty members support the BS in Computer Science with an ABET CAC accredited track, the BS in Information Technology and the MS in Computer Science. The position requires a willingness to teach a variety of computer science and information technology courses at all levels to ethnically diverse students. The position entails the ability to work as a member of interdisciplinary teams as the Department develops and modifies computing undergraduate and graduate programs with a planned doctoral program in computational science. In addition, the successful candidate will develop and maintain an active research program with student involvement.
 
−
 
−
Qualifications & Requirements: Candidates must have a Ph.D. in computer Science or a very closely related discipline. Candidates must have expertise in Human Computer Interaction with preference to candidates with experience in software engineering, interfaces, and visualization, and research in HCI. Candidates must have good communication skills. We are looking for candidates with experience in teaching undergraduate computing courses and in working as a member of a team. All faculty are expected to have an ongoing research program, to commit to quality teaching, to be involved in professional activities, and to pursue external funding to support their scholarship.
 
−
 
−
Salary Range:            Salary and range is dependent on qualifications.
 
−
Anticipated Start Date:  September 1, 2009
 
  
−
Send letter and resume to (include vacancy # if above):
+
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.
−
Send hardcopy (no email documents) that includes C.V., at least three professional references, statement of research interests, teaching philosophy with experience, and professional goals to:
 
  
−
Search Committee — V- F22
+
Keywords: computational linguistics, neural network modeling, syntactic processing, vector-space semantics
−
Department of Computer Science
 
−
Montclair State University
 
−
Montclair, NJ 07043
 
  
−
(include V number) and professional goals to:
+
'''Detailed Job Description:'''
−
Search Committee — V- F22
 
−
Department of Computer Science
 
−
Montclair State University
 
−
Montclair, NJ 07043
 
  
−
Apply By: Screening begins immediately and continues until the position is filled.
+
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.
  
−
Montclair State is a New Jersey State university. It is located 14 miles west of New York City.
+
The ideal appointee will conduct development and extensive testing of:
  
 +
* general-purpose software to support symbolic-level computation over gradient symbol structures
  
−
== Internship on Textual Entailment Applied to Statistical Machine Translation, Xerox Research Centre Europe, Grenoble - France ==
+
* general-purpose software for simulating neural network implementations of this gradient symbolic computation
  
−
The main research lines within the Cross Language Technologies (CLT) area at XRCE are Statistical Machine Translation, Cross-Lingual Information Retrieval and Machine Learning Techniques for Cross-Lingual Applications. CLT is currently coordinating the European Project SMART (Statistical Multilingual Analysis for Retrieval and Translation) [http://www.smart-project.eu].
+
* new machine-learning algorithms, including deep compositional networks
  
−
XRCE has received funding from the PASCAL-2 Network of Excellence [http://pascallin2.ecs.soton.ac.uk] for conducting, in partnership with Bar-Ilan University in Israel, a "Pump Priming" project on the topic of "Context Models for Textual Entailment and their Application to Statistical Machine Translation". One of the goals of the project is to investigate situations in which, while a translation system may not have enough knowledge to adequately translate a source text into a target text, it may be able to do so based on entailment rules learned from monolingual data.
+
* new theories of compositional vector-space semantics and new neural-network architectures for implementing them
  
−
We are looking for preferably one (in this case the internship would be for 10 months ) or two interns (in this case each internship would last 5 months with the first starting at the beginning of 2009) to work on this topic under the supervision of XRCE researchers, and in collaboration with our partners. The focus of the work will be on the following topics:
+
* new psycholinguistic models of human syntactic production and comprehension processes
  
−
* Integration of existing paraphrase and entailment resources into SMT settings, and assessment of their applicability in this domain;
+
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.  
−
* Development (in collaboration with our partners) of novel models for assessing the validity of entailment rules in context and implementation of SMT-based modules that are able to exploit such rules;
 
−
* Methodology and measures for controlling the use of directional and bi-directional entailment rules in SMT;
 
−
* Use of entailment knowledge for evaluating the performance of SMT systems.  
 
  
−
The ideal candidate will be a strong Master or Ph.D. student with background in statistical machine translation and/or statistical methods in NLP. The candidate will be fluent in C/C++ and/or Python. Some knowledge and practice of Machine Learning models and tools will be a plus, as will be some previous acquaintance with work on Textual Entailment.
+
The initial appointment is for one year, with an expectation of a second year, conditioned on satisfactory progress. Starting date is August 1, 2014.
  
−
Contact:  
+
'''How to Apply:'''
  
−
* Lucia Specia: lucia.specia@xrce.xerox.com
+
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.  
−
* Marc Dymetman: marc.dymetman@xrce.xerox.com
 
  
−
For more information: http://www.xrce.xerox.com/internships/LS-MD.TE-SMT_2009.2008.html
+
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.

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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