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* See also the [http://linguistlist.org/jobs Linguist Job List].
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** Location
 
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* See also the [http://linguistlist.org/jobs/index.html Linguist Job List].
 
 
* Archived postings:
 
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== Data Scientist - Unstructured Data at Civis Analytics ==
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* Employer: [https://civisanalytics.com Civis Analytics]
 +
* Title: Data Scientist - Unstructured Data
 +
* Topics: Natural Language Processing,  Machine Learning, Deep Learning, Big Data Analytics, Computer Vision, Speech Processing, Algorithm Development
 +
* Location: Chicago, IL
 +
* Deadline: Open until filled
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* Date Posted: June 23, 2015
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* Apply Online: [https://civisanalytics.com/careers civisanalytics.com/careers]
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* Questions: apply@civisanalytics.com
  
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== : Biomedical Text mining Position available, CNIO - Madrid, Spain ==
 
  
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* '''Employer''': Spanish National Cancer Research Center (CNIO)
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'''Who We Are'''
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* '''Rank or Title''': Project associate research position
 
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* '''Specialty''': Biomedical Text mining
 
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* '''Location''': Madrid, Spain
 
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* '''Deadline''': March 01, 2010
 
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* '''Date Posted''': Feb 01, 2010
 
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* '''Contact''':  Martin Krallinger - mkrallinger@cnio.es
 
  
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Description:
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Civis Analytics is building a data-driven world. We create technologies that empower organizations to unlock the truth hiding in their own data—transforming them into smart organizations that are ready to thrive.
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The candidate will work within a multidisciplinary team involved in the development and application of biomedical text mining and natural language processing approaches.
 
  
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The overall aim of this work is to develop and apply text mining and natural language processing technologies to biomedical literature, covering aspects related to automatic text classification using machine learning methods, the detection of entities of biological interest from text and the extraction and ranking of biological relations from the biomedical literature. A special focus will be given to certain topics such as cancer related literature and protein interactions.
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While our history is rooted in political campaign targeting, we’re now partnering with intelligent organizations in healthcare, media, education, and a range of other domains. We’re also building cloud-based products to do data science better.
  
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Expected outcomes will include fundamental research in biomedical text mining, publications in high-impact journals and development of biomedical text mining applications and services. The resulting strategies will be applied to process article abstracts, full text articles as well as clinical records.
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We're solving the world's biggest problems with big data. Through research, experimentation, and iteration, we’re transforming how organizations do analytics. Our clients range in scale and focus from local to international, all empowered by our individual-level, data-driven approach.
  
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Requirements:
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Our incredible team of engineers, statisticians, researchers, and solution seekers come from all over the world with diverse backgrounds in Fortune 500 companies, international non-profits, Ivy League academia, and even actual rocket science.
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Applicants should possess an MSc (preferably a PhD) in biology, computer science or related areas with specific knowledge in Computer Science, Bioinformatics, Computational Linguistics, Statistics or Machine Learning or Text Mining.
 
  
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1) Candidates should have the following qualifications:
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'''Why should you join our team?'''
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- Competitive software engineering skills (demonstrable knowledge of at least two programming languages such as python, C/C++, Java, Perl and the development of online web applications).
 
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- A solid background and interest in statistical and machine learning methods
 
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- Ability to develop algorithms and software for natural language processing/text mining systems
 
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- Good English communication skills
 
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- A strong interest in collaborating with experts from the biomedical, molecular biology and bioinformatics domains and text mining.
 
  
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2) Other desirable skills and selection criteria include:
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We are already hard at work on solving the world’s toughest problems with Big Data – working with organizations to analyze and understand their individual level data to improve outcomes and implement organizational change. We use cutting edge data science techniques, and we want to continue be on the forefront of innovation in our field.
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- Exposure to biomedical texts/domain.
 
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- Familiarity with development of Web Services
 
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- Well organized and have the ability to work in an interdisciplinary team.
 
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- The publication record would be an advantage.
 
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- Familiarity with NLP tasks such as named entity recognition, summarization, information extraction, and information retrieval will
 
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be also highly desirable.
 
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- Familiarity with some of the existing software that might be relevant to the research topic (like Weka, LibSVM, Lucene, GATE, NLTK, or Mallet).
 
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- Interest in the evaluation of systems performance and community challenges.
 
  
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Organization:
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We are ''smart'', ''fun'', and ''a little bit weird''. ''Does this sound like you?''
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The Spanish National Cancer Centre (CNIO, Madrid, Spain - http://www.cnio.es/ing/index.asp) is one of the few European Cancer Centers to allocate resources to both basic and applied research in an integrated fashion, thus supporting the interaction of basic research programmes with those of molecular diagnostics and drug discovery. All CNIO programmes benefit from excellent equipment, technology, and technical services. The CNIO employs about 500 scientists, it offers excellent work conditions including competitive salary, and world-class computing infrastructure.
 
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The Structural and Computational Biology Programme at CNIO, leaded by Dr. Alfonso Valencia integrates several research groups, including the Computational Biology group, a Bioinformatics support unit and the central node of the Spanish Bioinformatics Institute, a Genome Spain platform. The computational facilities and infrastructure cover all the needs of the research in modern text mining and NLP, computational biology and provides excellent grounds for the analysis of high-throughput genomic data.
 
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The research group contributed significantly to the biomedical text mining research over the past years, from initial work related to the analysis of protein families, microarray data and protein interactions to the development of popular online applications such as the iHOP server or PLAN2L. Recent research efforts also promoted the organization of the BioCreative text-mining challenges, the development of the BioCreative metaserver and the BioCreative II.5 competition. The research group has a well-established international network of collaborations with other text mining groups, bioinformatics and biological database teams and experimental biomedical researches.
 
  
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Salary:
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'''Position Overview'''
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Between 25,000 and 30,000 Euro / year depending qualifications. Contract for 2-3 years.
 
  
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Application:
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The Research and Development team is responsible for developing the fundamental data science methods, techniques, and best practices that power the mission of our company. Our diverse work includes predictive analytics, algorithm development, experimental design, visualization, and survey research.
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Requests for additional information or formal applications (including Application letters, extensive CV and PhD/MA thesis and the names of at least two references) can be sent to Martin Krallinger: mkrallinger@cnio.es
 
  
 +
As a Data Scientist on our Chicago-based Research and Development team, you will work closely and collaboratively with analysts and engineers to develop and operationalize the techniques that quantify and solve big, meaningful problems. Our team dives deeply into big problems and works in a variety of areas. With a specialization in unstructured data, this Data Scientist role will apply techniques from fields such as machine learning, applied statistics, natural language processing, computer vision, and speech processing to the growing unstructured datasets being collected at Civis. Because the majority of the world’s information is unstructured, being able to leverage these diverse and voluminous data sources adds tremendous value to Civis products and research. In this role, you will be a critical voice shaping both how unstructured data informs existing Civis products and services, and how it leads to the development of entirely new ways of serving our clients, novel to the industry as a whole.
  
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== Full Professor, Theoretical Computational Linguistics, Potsdam, Germany ==
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We are looking for individuals from a diversity of backgrounds with demonstrated quantitative and problem-solving skills. We value creativity, hard work, and on-the-job-excellence and offer competitive compensation and benefits packages. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States.
  
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* '''Employer''': Potsdam
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'''Requirements'''
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* '''Rank or Title''': Full Professor (W3)
 
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* '''Specialty''': Theoretical Computational Linguistics
 
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* '''Location''': Potsdam, Germany
 
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* '''Deadline''': Feb 20, 2010
 
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* '''Date Posted''': Jan 21, 2010
 
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* '''Contact''':  [http://www.ling.uni-potsdam.de] vasishth@uni-potsdam.de
 
  
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Professorship (W3) in Theoretical Computational Linguistics, University of Potsdam
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'''MINIMUM QUALIFICATIONS'''
  
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The University of Potsdam invites applications for the post of full professor in Theoretical Computational Linguistics. Theoretical Computational Linguistics at Potsdam plays an important role in connecting theoretical linguistics, clinical and psycholinguistics and computational linguistics. The ideal candidate will have expertise in one or more of these areas:
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* Bachelor’s degree in a quantitative field, such as computer science, statistics, machine learning, or electrical engineering
 +
* Knowledge of and practical experience in applying the methodology of one or more unstructured data analysis fields, such as natural language processing, speech processing, or computer vision
 +
* Familiarity with statistical packages such as R, Stata, or in the Python scientific stack (NumPy, SciPy, scikit-learn, pandas)
 +
* Experience with common toolkits for unstructured data analysis, such as Theano, Torch, open-cv, the Stanford NLP tools, HTK, and Kaldi
 +
* Experience with SQL databases
 +
* Strong programming skills
 +
* Experience identifying and correcting for problems in imperfect data
 +
* An ability and eagerness to constantly learn and teach others
  
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* Grammar formalisms and (probabilistic) parsing of natural language
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'''PREFERRED QUALIFICATIONS'''
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* machine learning techniques for language processing
 
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* computational semantics
 
  
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Knowledge of symbolic and/or statistical methods and corpus-based methods is presupposed. The research profile of the candidate should fit into the interdisciplinary nature of the Excellence Center for Cognitive Sciences at Potsdam [http://www.uni-potsdam.de/humfak/hum-exzellenzbereich.html]. Participation is expected in the Collaborative Research Project (Sonderforschungsbereich 632), Information Structure: the linguistic means for structuring utterances, sentences and texts [http://www.sfb632.uni-potsdam.de/main.html], and in other projects related to cognitive science.  Experience in obtaining third-party funding and an international presence is desirable.
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* Master’s degree in a quantitative field such as computer science, statistics, machine learning, or electrical engineering
 +
* Significant work experience in applying the methodology of one or more unstructured data analysis fields
 +
* High proficiency in programming with Python, Go, Java, Lua, C, or other languages used for high-performance statistical computing
 +
* Familiarity with architectures for scaling statistical computing to big data applications, such as Hadoop and Spark
  
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The University of Potsdam is an Equal Opportunity employer and is actively engaged in increasing the proportion of women in research and teaching; qualified women are therefore encouraged to apply. All other things being equal, handicapped candidates will be given preference.
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'''How to Apply'''
  
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Questions regarding the job opening should be directed to Shravan Vasishth (vasishth@uni-potsdam.de).
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Apply online at: [https://civisanalytics.com/careers civisanalytics.com/careers]
  
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Applications should be received by February 20 2010, and should be sent to:
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== Postdoctoral Fellow in NLP at University of Pennsylvania ==
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The President, University of Potsdam, Am Neues Palais 10, 14469 Potsdam, Germany
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* Employer: Dept. of Computer and Information Science, University of Pennsylvania
 +
* Title: Postdoctoral Researcher
 +
* Topics: Natural Language Processing, Unsupervised Learning
 +
* Location: Philadelphia, PA
 +
* Deadline: Open until filled
 +
* Date Posted: June 19, 2015
 +
* Contact: Mitch Marcus (mitch@cis.upenn.edu)
  
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== Research Scientist, Natural Language Processing, Educational Testing Service, Princeton, NJ, USA ==
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'''Job Description'''
  
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* '''Employer:''' Educational Testing Service, Princeton, NJ, USA
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Applications are invited for a postdoctoral fellow research associate position in the Department of Computer and Information Science at the University of Pennsylvania.  This is a full time position for 24 months, starting immediately.
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* '''Title:''' Research Scientist, Natural Language Processing
 
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* '''Specialty:''' Software development, NLP, Machine Learning, Educational Applications
 
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* '''Deadline:''' Open until filled
 
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* '''Date Posted:''' December 15, 2009
 
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* '''Links to website:''' [http://www.ets.org]
 
  
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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.
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The main aim of this project is to develop new unsupervised algorithms to extract several levels of linguistic structure including morphology, part of speech (POS) tags, and noun phrases from unannotated corpora.  The project will exploit many different descriptive properties and constraints of language, all of which are close to universal in applicability. Such so-called universals have been developed across a wide range of often conflicting theoretical frameworks by both theoretical and descriptive linguists over many years, and we intend to shamelessly exploit them all.  
  
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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 candidate will work under the supervision of Profs. Mitch Marcus and Lyle Ungar in Computer and Information Science and Prof. Charles Yang in Linguistics.
  
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Responsibilities of the position include, but are not limited to:
+
'''Requirements'''
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*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.
 
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*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.
 
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*Applying scientific, technical and software engineering skills in designing and conducting research studies and capability development in support of educational products and services.
 
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*Developing and overseeing the conduct of selected portions of research proposals and project budgets.
 
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*Designing and conducting complex scientific studies functioning as an expert in major facets of the projects.
 
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*Assisting in the conduct of research projects by accomplishing directed tasks according to schedule and within budget.
 
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*Participating in dissemination activities through the publication of research papers, progress and technical reports; the presentation of seminars; or other appropriate communication vehicles.
 
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*Developing professional relationships as a representative, consultant or advisor to external advisory and policy boards and councils, research organizations, educational institutions and educators.
 
  
−
Requirements:
+
The candidate should have a very strong background in Natural Language Processing and possess a PhD in either Computational Linguistics or Computer Science with a good publication record.  Experience in machine learning, good programming skills, and a good knowledge of modern linguistics are required.
−
*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.
 
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*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.
 
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*Demonstrable contributions to new and/or modified theories of natural language processing and their implementation in automated systems required.
 
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*Practical expertise with NLP tools and fluency in at least one major programming language (e.g., Java, Perl, C/C++, Python) are also required.
 
  
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ETS offers competitive salaries, outstanding benefits, a stimulating work environment and attractive growth potential. ETS is an Equal Opportunity, Affirmative Action Employer.
+
'''How to Apply'''
  
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How to Apply:
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Please email your CV and the names and contact information of three or more references to Mitch Marcus at the email provided above.
  
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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.
 
  
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== Senior Software Systems Engineer (NLP), Educational Testing Service, Princeton, NJ, USA ==
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== Postdoctoral Fellow in Machine Learning/Computational Linguistics for Child Language Acquisition ==
 +
* Employer: University of Liverpool
 +
* Title: Post-doctoral fellow
 +
* Topics: machine learning, computational linguistics, corpus linguistics, algorithm development, deep learning, speech processing
 +
* Deadline: 28th August 2015
 +
* Date Posted: 2nd June 2015
 +
* Apply: http://www.liv.ac.uk/working/jobvacancies/currentvacancies/research/r-588063/
  
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* '''Employer:''' Educational Testing Service, Princeton, NJ, USA
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'''Job Description'''
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* '''Title:''' Senior Software Systems Engineer
 
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* '''Specialty:''' Software development, NLP, Machine Learning, Educational Applications
 
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* '''Deadline:''' Open until filled
 
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* '''Date Posted:''' December 2, 2009
 
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* '''Contact:''' Derrick Higgins dhiggins AT ets DOT org
 
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* '''Links to website:''' [http://www.ets.org]
 
  
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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.
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We are recruiting for post-doctoral fellow to work on the application of machine learning/computational linguistic techniques to child language acquisition.
  
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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
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You should have a PhD in Computer Science/Engineering/Linguistics/Psychology and have experience with machine learning algorithms applied to language data and have published your work in conference proceedings or journals. Experience with auditory speech processing, deep learning, cloud computing, and GPU programming is desirable. The post is available for 2 years.
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(You can also go to http://ets.pereless.com/careers/index.cfm, and search for Job ID 79723.)
 
  
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Qualified candidates should
+
The computational community has developed a wealth of algorithms that can automatically discover linguistic units and dependencies between these units and these algorithms have been applied to language parsing and generation. In contrast, child language researchers often study child language using human coding of detailed linguistic information. The goal of this project is to develop a bridge between these two approaches. Machine learning techniques would give child language researchers ways to pull out relevant utterances that could be subject to greater processing. Child language analyses could be compiled into test sets that could be used to evaluate machine learning algorithms. In this post, you will develop machine learning algorithms for child language and also develop a web site that will enhance the ability of machine learning researchers and child language researcher to share data and algorithms.  The research topics and approaches are open to negotiation.  Children have some of the most advance language learning algorithms and understanding how they learn language could lead to new insights for computational approaches to language.
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* be highly skilled in Java, Perl, and Python programming
 
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* be familiar with UNIX tools and scripting languages
 
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* have a demonstrated commitment to software development best practices, including documentation, reusable code design, and integrated software testing
 
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* have a strong grasp of computational algorithms and elementary statistics
 
  
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Ideal candidates should also have experience with natural language processing and speech processing applications.  Desired qualifications include:
+
This post offers the opportunity to join a thriving research group at the University of Liverpool and become a member of the new ESRC International Centre for Language and Communicative Development, a multi-million pound collaboration between the Universities of Liverpool, Manchester and Lancaster.
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* An understanding of different statistical classification techniques, and the strengths and weaknesses of each
 
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* A grasp of the levels of linguistic analysis (syntax, semantics, morphology, phonology) and typical computational approaches applied at each level in corpus-based research
 
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* Experience with machine learning toolkits such as Weka, Mallet, libsvm, SVMLite, and See5
 
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* Experience with machine learning and natural language processing resources such as WordNet, parsers, taggers, and information retrieval systems
 
  
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Above all, candidates should be flexible, self-motivated, and team-oriented.
+
More information is available here:
 +
https://sites.google.com/site/sentenceproductionmodel/news
  
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M. Sc. In computer science, computational linguistics, or a related field is highly desirable.
+
==Postdoctoral Fellow and Software Engineer postions in biomedical natural language processing, machine learning and biomedical informatics==
 +
* Employer: UMass Medical School Worcester
 +
* Title: Post-doctoral fellow or Software Engineer
 +
* Topics: Biomedical natural language processing, machine learning, bioinformatics, algorithm development, big data analytics
 +
* Deadline: until filled
 +
* Date Posted: 24 May 2015
 +
* apply by contacting elaine.freund@umassmed.edu
  
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== Research Associates in Text Mining (2 posts), National Centre for Text Mining, University of Manchester, UK ==
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'''Job Description'''
  
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* '''Employer:''' National Centre for Text Mining (NaCTeM), University of Manchester, UK
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We are recruiting for multiple positions at levels from Post Doctoral Fellow to Software Engineer to participate research and software development in biomedical natural language processing (NLP) and biomedical informatics. The group’s research (http://www.bio-nlp.org/index.php/projects) involves developing algorithms and tools for gathering, analyzing and interpreting heterogeneous data from multiple sources both clinically and research related. Recruits will lead development efforts in web service tools and search engines that: retrieve and summarize big data in biomedical domain, automatically extracting information from pdf files and extracting text from images, integrate novel biomedical text mining algorithms into the web tools and search engines to enable intelligent semantic search, and mining electronic health record data for pharmacovigilance.  
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* '''Title:''' Research associates in Text Mining (2 posts)
 
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* '''Specialty:''' Text Mining, Machine Learning
 
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* '''Deadline:''' 14th December, 2009
 
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* '''Date Posted:''' 1st December, 2009
 
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* '''Contact:''' Prof. Sophia Ananiadou sophia.ananiadou AT manchester.ac.uk
 
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* '''Links to website:''' [http://www.nactem.ac.uk NaCTeM]
 
  
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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.
+
If you are highly motivated and passionate about research in big data processing or software engineering or have in-depth knowledge and hands on implementation experience with web service tools and are interested in learning more about us, please contact elaine.freund@umassmed.edu with your resume or CV and a cover letter.  
  
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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.
+
General Summary of Postdoc Fellow Position: PhD in Computer Science, computational linguistics or Biomedical Informatics with expertise in natural language processing, machine learning or information retrieval with excellent writing and communication skills and ability to work with the research team.  
  
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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).
+
General Summary of Software Engineer Position:
 +
Under the direction of the Faculty or designee, the Software Engineer I assists with the design, development, implementation and integration of web service tools, search engines, utilities, applications and enhancements in a complex medical/academic research computing environment.  
  
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The posts are available immediately until December 2011.
+
==Research Scientist in natural language processing, machine learning, knowledge discovery, data analytics at IBM Research-Almaden==
 +
* Employer: IBM Research
 +
* Title: Research Scientist
 +
* Topics: Nature language processing, information integration, entity resolution, machine learning, knowledge discovery, and data analytics
 +
* Location: San Jose, California, USA
 +
* Deadline: 1 June 2015
 +
* Date Posted: 6 May 2015
 +
* Online application: https://jobs3.netmedia1.com/cp/faces/job_summary?job_id=RES-0751127
  
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Salary £28,839 - £35,469 p.a.
+
'''Job Description'''
  
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To apply, please visit http://www.manchester.ac.uk/aboutus/jobs/research/vacancy/index.htm?ref=167398
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IBM Research - Almaden is looking for researchers to join the Natural Language Processing (NLP), Entity Resolution and Discovery (NERD) Department. Our research focuses include high-value content creation from variety of public and third-party data sources, scalable and usable analytics tools for individual stages in analyzing such data sources, such as text analytics, entity resolution, large-scale machine learning, techniques and methods for scalable and flexible indexing and querying support over enriched content, and consumable interfaces for accessing such data sources, including natural language interfaces. An example project is SystemT (http://ibm.co/1Cdm1Mj).
  
 +
We are currently looking for a Research Staff Member to conduct research with large scale real-world heterogeneous data in the area of advanced analytics, such as nature language processing, information integration, entity resolution, machine learning, knowledge discovery, and data analytics. This role generates highly novel ideas, both theoretical and experimental, in a specific engineering or scientific discipline and invents and designs complex products and processes. This position may be involved in engineering these ideas to an advanced state of feasibility by evaluating ideas and plans and participating in their design and development. The full cycle of innovation to delivery is typically a multiple-year effort.
  
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== Computational Linguistics Engineer, Disney Interactive Media Group (North Hollywood, CA) ==
+
The candidate is also responsible for internally and externally disseminating the results of such activities through publications, patent disclosures, seminar participation, technical documentation, etc. The candidate represents IBM at professional conferences, in professional societies and universities and functions as an internal consultant in the areas of professional expertise.
  
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* '''Employer:''' Disney Interactive Media Group
+
'''Required'''
−
* '''Title:''' Computational Linguistics Engineer
 
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* '''Specialty:''' see job description
 
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* '''Deadline:''' Open until filled
 
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* '''Date Posted:''' Nov 05, 2009
 
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* '''Contact:''' Graciel Cecilio graciel.cecilio@disney.com
 
−
* '''Links to website:''' http://www.dimgcareers.com or http://www.disney.com
 
  
 +
* Master's Degree
 +
* At least 1 year experience in developing advances in Computer Science disciplines
 +
* At least 1 year experience in performing Scientific Research
 +
* English: Intermediate
  
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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.
+
'''Preferred'''
  
−
'''JOB RESPONSIBILITIES'''
+
* Doctorate Degree in Information Technology
−
#Lead and champion the usage of natural language technologies to help Disney provide a safe and meaningful online experience.
+
* At least 3 years experience in developing advances in Computer Science disciplines
−
#Procure, design, develop, and document community - communication software components.
+
* At least 3 years experience in performing Scientific Research
−
#Provide training, guidance, mentoring and leadership to personnel.
+
* English : Fluent
−
#Research third-party technologies.
 
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#Interface with external vendors to coordinate integration of technologies.
 
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#Interface with product teams to define requirements and schedules for technologies.
 
  
 +
'''Additional Information'''
  
−
'''QUALIFICATIONS FOR POSITION'''
+
The World is Our Laboratory: No matter where discovery takes place, IBM researchers push the boundaries of science, technology and business to make the world work better. IBM Research is a global community of forward-thinkers working towards a common goal: progress.
−
#Degree in Linguistics or related field or 10+ year minimum experience.
+
−
#Degree in Software Development or 10+ years minimum experience
+
IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
−
#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
 
−
 
 
−
 
 
−
'''SPECIFIC SKILLS REQUIRED'''
 
−
#Computation complexity of natural Language.
 
−
#Language corpus analysis and usage.
 
−
#A love of Fun, Games and Children.
 
−
#A strong appreciation of the Disney brand.  
 
−
 
 
−
 
 
−
'''Please send your CV/resume to Graciel Cecilio graciel.cecilio at disney dot com
 
−
 
 
−
More about DIMG'''
 
−
 
 
−
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.
 
−
 
 
−
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.
 
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−
== Trainee position for a computational linguist specialising in multilingual technology, The Language Technology Centre (London, UK) ==
 
−
 
 
−
* '''Employer:''' The Language Technology Centre (LTC)
 
−
* '''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
 
−
 
 
−
 
 
−
[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.
 
−
 
 
−
The candidate should be able to do the following:
 
−
 
 
−
# Speak at least 2 of the three languages English, German or Spanish fluently
 
−
# 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.
 
−
 
 
−
 
 
−
Please send your CV and other relevant information per e-mail to Nadia Portera-Zanotti <nadia.portera-zanotti AT langtech.co.uk>
 
−
 
 
−
More information is available on our websites: http://www.langtech.co.uk and http://www.agile-web.com
 
−
 
 
−
We look forward to receiving your application.
 
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−
== Science Annotator, J.D. Power and Associates, Boulder, CO ==
 
−
 
 
−
{|
 
−
| '''&#8226; Employer:'''        ||Web Intelligence Division, J.D. Power and Associates (McGraw-Hill)
 
−
|-
 
−
| '''&#8226; Title, Rank:'''      ||Science Annotator.
 
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|-
 
−
| '''&#8226; Specialty:'''        ||Linguistics, Computational Linguistics.
 
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|-
 
−
| '''&#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.
 
  
 +
==PhD position in statistical language modelling==
 +
* Employer: Cardiff University
 +
* Title: PhD scholarship
 +
* Topics: Statistical language modelling, relation extraction, social media
 +
* Location: Cardiff, UK
 +
* Deadline: 1 June 2015
 +
* Date Posted: 7 April 2015
 +
* Online application: http://courses.cardiff.ac.uk/funding/R2497.html
  
−
'''Requirements:'''
+
'''Job Description'''
  
−
:&#8226; Recent M.A. in Linguistics: knowledge of English grammar (dependency structures), semantics, coreference and anaphora resolution (computational liguistics experience is a plus);
+
Applications are invited for a PhD Scholarship at the Cardiff School of Computer Science & Informatics in the area of statistical language modelling. Specifically, the aim of the project will be to develop methods for modelling the meaning of natural language terms, based on data from social media and other web sources. For example, by analysing the tags associated with Flickr photos, the developed methods will be able to learn that a church is a kind of building, that churches tend to be larger than typical buildings and that chapels are similar to churches. The results of this project will be used to improve methods from artificial intelligence for commonsense reasoning, and will among others enable more intelligent web search engines.
−
:&#8226; Native English speaker;
 
−
:&#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;
 
−
:&#8226; Experience with WordNet and ontologies is a plus;
 
−
:&#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.
 
  
 +
'''Funding and eligibility'''
  
 +
This studentship consists of full UK/EU tuition fees, as well as a Doctoral Stipend matching UK Research Council National Minimum (£14,057 p.a. for 2015/16, updated each year). This studentship is open to students of any nationality. Students classified as international for fee purposes have to self-fund the difference between home and international fees.
  
−
== Associate Professorship in Natural Language Processing, University of Oslo ==
+
Candidates should:
  
−
* '''Employer:''' [http://www.ifi.uio.no Department of Informatics], [http://www.uio.no University of Oslo]
+
* either have (or expect to have by Autumn 2015) a good honours degree in a relevant discipline (minimum 2:1);
−
* '''Title:''' Associate Professor (tenured)
+
* or have a masters degree with distinction in the research dissertation in a relevant discipline;
−
* '''Specialization:''' data-driven and hybrid approaches to NLP
+
* or have professional qualifications deemed by Cardiff University to be equivalent to the above;
−
* '''Deadline:''' Friday, October 9, 2009
+
* or be over 25 and have relevant work experience in a position of responsibility.
−
* '''Announcement:''' [http://www.emmtee.net/ap.09.09.html job posting]
 
  
−
== Text Mining Positions, JULIE Lab (Germany) ==
+
The methods will rely heavily on methods from statistics and linear algebra, hence a strong background in mathematics will be required, in addition to excellent programming skills. A strong mathematical background and excellent programming skills will also be required.
  
−
* '''Employer:''' JULIE Lab, Friedrich-Schiller-Universität Jena, Germany
+
Applicants are particularly welcomed from candidates with a background in computer science.
−
* '''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]
+
If your first language is not English you must provide evidence of competence in English. Our standard requirement is an overall IELTS result of at least 6.5, with a minimum of 6.5 in writing, and a minimum of 6.0 in speaking, listening and reading.
  
−
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).
+
'''Further information'''
  
 +
For further information and instructions on how to apply, please see http://courses.cardiff.ac.uk/funding/R2497.html
  
−
Requirements for Candidates:
+
==Postdoctoral Researcher in NLP at U.S. Army Research Lab==
 +
* Employer: U.S. Army Research Lab, Adelphi Laboratory Center
 +
* Title: Postdoctoral Researcher
 +
* Topics: Natural Language Processing
 +
* Location: Adelphi, MD, USA
 +
* Deadline: Open until filled
 +
* Date Posted: March 17, 2015
 +
* Contact: Dr. Stephen Tratz (stephen.c.tratz.civ@mail.mil)
  
−
*  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
+
'''Job Description'''
−
* 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 Multilingual Computing Branch (MLCB) at the U.S. Army Research Laboratory's Adelphi Laboratory Center, located in the Washington, D.C. metro area, is seeking to hire new post-doctoral fellows. MLCB has several ongoing efforts in computational linguistics/natural language processing, including active projects in machine translation, human-robot communication, and social media analysis. The branch is also pursuing new interdisciplinary initiatives to address the language processing challenges in cyber-security and video analytics.
  
−
Informal inquiries can be addressed to:  
+
Candidates should have substantial research experience in machine learning methods (e.g., deep neural networks) as applied to emerging areas involving computational linguistics.  Areas of interest include: text/video analytics, computational social science, machine translation, domain adaptation, data selection, low-resource language processing, morphologically complex languages, knowledge representation and reasoning, spoken language interfaces and dialogue, and multimedia processing.
−
Katrin Tomanek, Friedrich-Schiller-Universität Jena, Email: katrin.tomanek@uni-jena.de
 
  
−
Applications (e-mail preferred) should be sent to:  
+
The lab encourages external collaboration and maintains multiple partnerships with universities and research institutions, which enable faculty and student exchanges as well as joint research and publishing (http://www.arl.army.mil/www/default.cfm?page=93). ARL’s new open campus initiative is attracting national and international partners from academia and industry to work with ARL scientists and engineers in areas of common research interest (see http://www.arl.army.mil/www/default.cfm?page=2357), and ARL researchers have begun releasing open source code via GitHub (see http://www.army.mil/article/141734/Army_cyber_defenders_open_source_code_in_new_GitHub_project/).  ARL facilities include multiple high-end supercomputing clusters with over 10,000 cores and capable of at least 350 TFlops.  
−
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) ==
+
'''Requirements'''
  
−
* '''Employer:''' Linguistic Data Consortium, University of Pennsylvania
+
* Ph.D. or equivalent research experience in computer science, statistics, mathematics, or related field
−
* '''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]
+
'''How to Apply'''
  
−
Linguistic Data Consortium at the University of Pennsylvania has an immediate opening for a full-time programmer analyst to support our
+
If interested, please email your CV and the names and contact information of three or more references to Dr. Stephen Tratz at the email provided above.
−
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.
+
==Postdoctoral Researcher in NLG for Narrative==
 +
* Employer: Liquid Narrative Group, North Carolina State University
 +
* Title: Postdoctoral Research Scholar
 +
* Topics: Natural Language Generation, Narrative Generation, Knowledge Representation, AI Planning
 +
* Location: Raleigh NC, USA
 +
* Deadline: Open Until Filled
 +
* Date Posted: March 10, 2015
 +
* Online Application: http://jobs.ncsu.edu/postings/40524
  
−
Tasking may include:
+
'''Job Description'''
  
−
# design and develop flexible user interfaces for manual annotation of linguistic data
+
The Liquid Narrative group at North Carolina State University is seeking a postdoctoral researcher to collaborate on a large-scale narrative generation project. The goal of this project is to build computational tools for the use of narrative in sense-making tasks. Research thrusts include the creation of formalisms for representing story and discourse knowledge and the development of narrative generation algorithms able to create multiple narrative discourses from a given story, adapt these discourses to an audience, and elicit different effects such as surprise or suspense. This project aims at creating a large-scale narrative-generation system that can extract story data from various sources (e.g., video game logs) and create narratives in and across several media such as text, animated movies or maps.
−
# 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.
+
The postdoctoral researcher will contribute to the design and development of narrative generation and summarization technologies, focusing on the microplanning aspect of text generation. In particular, he or she will extend an existing narrative discourse generation prototype that outputs basic sentences using the SimpleNLG library. Our aim is to update this architecture by integrating an NLG system such as FUF/Surge, KPML or RealPro. To improve the quality of the generated text, the postdoctoral researcher will work on topics such as: aggregation, generation of referring expressions, discourse markers insertion, lexical choice and/or other aspects of realization that are specific to narrative as a genre.
  
 +
He/she may also participate in research efforts on the automated generation of multimedia presentations involving text, video and maps. He/she is expected to collaborate in performing scientific evaluations of the systems, and in writing academic research papers.
  
 +
'''Requirements'''
  
−
== Research Programmer, University of Illinois, Urbana, Illinois  ==
+
The applicant must hold a PhD degree, preferably in the area of computational linguistics or natural language generation. He/she should have:
 +
* Experience with developing NLG systems
 +
* Excellent software-design and problem-solving skills
 +
* Good programming skills
 +
* Excellent written and oral communication skills
  
−
* '''Employer:''' University of Illinois, Urbana, Illinois
+
Experience in the following areas would be a plus:
−
* '''Title:''' Research Programmer
+
* Automated discourse planning technologies
−
* '''Specialty:''' Natural Language Processing, Machine Learning, Web Programming
+
* Dialogue generation
−
* '''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
+
'''Position details'''
−
    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.
+
This is a full-time position.
 +
Expected start date is April 1, 2015 and the initial funding for the position runs through December 31, 2015.  The position may be extendable depending on availability of funds.
  
−
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.
+
Interested candidates should view the official Human Resources posting and submit applications through the NC State University HR web page at http://jobs.ncsu.edu/postings/40524
  
−
Job Duties include:
+
NC State University is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, gender identity, age, sexual orientation, genetic information, status as an individual with a disability, or status as a protected veteran.  Individuals with disabilities requiring disability-related accommodations in the application and interview process, please call 919-515-3148.
  
−
    * Designing and implementing algorithms, software systems and user interfaces
 
−
    * 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.
+
==PhD-level Researchers in Language Technology or Computational Linguistics==
 +
* Employer: UKP Lab, Technische Universität Darmstadt (Germany)
 +
* Title: PhD-level Researchers in Language Technology or Computational Linguistics
 +
* Topics: Natural Language Processing, Summarization, Opinion Mining
 +
* Location: Darmstadt (Germany)
 +
* Deadline: open until the position is filled
 +
* Date Posted: March 4, 2015
 +
* Contact: Prof. Iryna Gurevych apply-for-aiphes(a-t)ukp.informatik.tu-darmstadt.de
  
−
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.
+
The newly established Research Training Group „[http://www.aiphes.tu-darmstadt.de Adaptive Information Processing of Heterogeneous Content]“ (AIPHES) at the Technische Universität Darmstadt and at the Ruprecht-Karls-University Heidelberg is filling several positions for three years, starting as soon as possible:
  
−
Minorities, women, and other designated class members are encouraged to apply.
+
PhD-level Researchers in Language Technology or Computational Linguistics
  
−
The University of Illinois is an Affirmative Action-Equal Opportunity Employer.
+
The positions provide the opportunity to obtain a doctoral degree with an emphasis within one of the following guiding themes:
  
 +
* A3: Opinion and Sentiment - extrapropositional aspects of discourse (Univ. of Heidelberg)
 +
* B1: Structured summaries of complex contents (TU Darmstadt)
 +
* B2: Content selection based on linked lexical resources (TU Darmstadt)
 +
* D1: Multi-level models of information quality in online scenarios (TU Darmstadt)
 +
* D2: Manual and Automatic Quality Assessment of Summaries from Heterogeneous Sources (TU Darmstadt)
 +
The funding follows the guidelines of the DFG, and the positions are paid according to the E13 public service pay scale.
  
−
== Postdoc or doctoral research assistant, Bremen University, Bremen, Germany  ==
+
The goal of AIPHES is to conduct innovative research on multi-document summarization in a cross-disciplinary context. To that end, methods in computational linguistics, natural language processing, machine learning, network analysis, and automated quality assessment will be developed. AIPHES will investigate a novel summarization scenario for information preparation from heterogeneous sources. There will be close interaction with end users who prepare textual documents in an online editorial office, and who should therefore profit from the results of AIPHES. In-depth knowledge in one of the above areas is desirable but not a prerequisite.
  
−
* '''Employer:''' Bremen University, Bremen, Germany
+
Participating research groups at the Technische Universität Darmstadt are Knowledge Engineering (Prof. Fürnkranz), Ubiquitous Knowledge Processing (Prof. Gurevych, Dr. Eckle-Kohler), Algorithmics (Prof. Weihe), Language Technology (Prof. Biemann), Multimedia Communications (Dr. Rensing). Participants at the Ruprecht-Karls-University Heidelberg are the Institute for Computational Linguistics (Prof. Frank) and the Natural Language Processing Group (Prof. Strube) of Heidelberg Institute for Theoretical Studies (HITS). Cooperating partners are the Institute for Communication and Media of the University of Applied Sciences Darmstadt and other partners in the area of online media.  
−
* '''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
+
AIPHES will emphasize close contact between students and their advisors, have regular joint meetings, a co-supervision by professors and younger scientists in the research groups, and an intensive exchange as part of the research and qualification program. The training group has the goal of publishing its results at leading scientific conferences and will actively support its doctoral researchers in this endeavor. The software that will be developed in the course of AIPHES should be put under the open source Apache Software License 2.0 if possible. Moreover, the research papers and datasets should be published with open access models.
−
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
+
'''Requirements'''
−
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:'''
+
We are looking for exceptionally qualified candidates with a degree in Computer Science, Computational Linguistics, or a related study program. We expect ability to work independently, personal commitment, team and communication abilities, as well as the willingness to cooperate in a multi-disciplinary team. Desirable is experience in scientific work. Applicants should be able to work with German-language texts, and, if necessary, to acquire German language skills during the training program. We specifically invite applications of women. Among those equally qualified, handicapped applicants will receive preferential consideration. International applications are particularly encouraged.
  
−
:&#8226; completed first degree in computational linguistics, artificial intelligence, linguistics, informatics or similar
+
The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. Its unique research initiative "Knowledge Discovery in the Web” emphasizes natural language processing, text mining, machine learning, as well as scalable infrastructures for assessment and aggregation of knowledge. The Institute for Computational Linguistics (ICL) of the Ruprecht-Karls-University Heidelberg is one of the large centers for computational linguistics both in Germany and internationally. The ICL and the NLP department of the HITS jointly run the graduate program „Semantic Processing“ with an integrated research training group “Coherence in language processing: Semantics beyond the sentence”, which has a close connection to the topics in computational linguistics of AIPHES.
−
:&#8226;  interest in dialogue
 
−
:&#8226;  very good programming skills (necessarily Java; Lisp, Perl, etc. advantageous)
 
−
:&#8226;  good English writing skills
 
−
:&#8226;  ability to work both independently and in a team  in a  multidisciplinary environment 
 
  
−
'''Approximate salary:'''
+
Applications should include
  
−
Payment is according to the German Federal pay scale (TV-L 13,
+
* a motivational letter that refers to one of the above listed guiding themes,
−
approx. 34,000 Euros annually). The position is full-time.
+
* a CV with information about the applicant’s scientific work,
 +
* certifications of study and work experience,
 +
* as well as a thesis or other publications in electronic form.
 +
They should be submitted until March 23th, 2015 to the spokesperson of the research training group, Prof. Dr. Iryna Gurevych (Fachbereich Informatik, Hochschulstr. 10, 64289 Darmstadt) using the e-mail address apply-for-aiphes(a-t)ukp.informatik.tu-darmstadt.de. The interviews may start any time. The positions are open until filled.
  
−
Interested applicants should send their CV and any supporting
 
−
information or further queries to John Bateman at the above contact
 
−
address.
 
  
 +
==Research staff position in Natural Language Processing==
 +
* Employer: UKP Lab, Technische Universität Darmstadt (Germany)
 +
* Title: Research staff position in Natural Language Processing
 +
* Topics: Natural Language Processing, Question Answering
 +
* Location: Darmstadt (Germany)
 +
* Deadline: open until the position is filled
 +
* Date Posted: March 4, 2015
 +
* Contact: Nicolai Erbs erbs@ukp.informatik.tu-darmstadt.de
  
 +
'''Job Description'''
  
−
== Scientist I, J.D. Power and Associates, Boulder, CO ==
+
The [https://www.ukp.tu-darmstadt.de Ubiquitous Knowledge Processing Lab] (UKP Lab) at the Department of Computer Science of the Technische Universität (TU) Darmstadt, Germany, has an opening for a research staff position (TV-TU E13 German payscale) with a focus on question answering and summarization of social media content. This DFG-funded basic [https://www.ukp.tu-darmstadt.de/research/current-projects/qa-eduinf research project] conducts research integrating semantic text analysis, such as semantic role labeling (SRL), into higher-level applications in information access to improve their overall results (Principal Investigator: Prof. Dr. Iryna Gurevych). Thereby, we pay special attention to graph-based techniques.
  
−
{|
+
The selected candidate will work with a large corpus from a social question-answer platform on the Web. He/she will be expected to identify interesting research problems, research ways of utilizing semantic role labeling in novel NLP tasks, and develop means and resources to evaluate the results. The newly established Research Training Group “[http://www.aiphes.tu-darmstadt.de Adaptive Information Processing of Heterogeneous Content]” (AIPHES) funded by the DFG [3] provides an excellent research environment for this kind of work. The funding is available for the duration of at least two years with an option for extension.
−
| '''&#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]
 
−
|}
 
  
 +
'''Requirements'''
  
−
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.
+
We ask for applications from applicants in Computer Science or Computational Linguistics, preferably with completed PhD and research publications. Experience in Question Answering or a related field like summarization or information retrieval is a definite advantage. Excellent graduates of these disciplines willing to work towards a PhD are also encouraged to apply. Ideally, the candidates should have strong research skills as well as demonstrable experience in designing and implementing complex natural language processing (NLP) applications in Java and/or with graph-based algorithms. A very good command of German is a definite plus, since the target corpus is in the German language. Excellent communication skills in English and the ability to work in a team are required.
  
−
'''Requirements:'''
+
Applications should include a CV, a motivation letter, an outline of research experience, as well as names and addresses of two referees. Applications from women are particularly encouraged.  All other things being equal, candidates with disabilities will be given preference. Please send the application to: erbs@ukp.informatik.tu-darmstadt.de by 23.03.2015. The position is open until filled.
  
−
:&#8226; Recent Ph.D. in Machine Learning, Computational Linguistics, Artificial Intelligence, Computer Science or equivalent.
 
−
:&#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.
 
  
 +
==PhD-position in NLP/Text Mining==
 +
* Employer: UKP Lab, Technische Universität Darmstadt (Germany)
 +
* Title: PhD-position in NLP/Text Mining
 +
* Natural Language Processing, Text Mining
 +
* Location: Darmstadt (Germany)
 +
* Deadline: open until the position is filled
 +
* Date Posted: March 4, 2015
 +
* Contact:  Richard Eckart de Castilho (eckart (at) ukp (dot) informatik (dot) tu-darmstadt (dot) de)
  
−
== Research Position in Computational Linguistics at Austrian Research Institute for AI (OFAI), Vienna ==
+
'''Job Description'''
  
−
* '''Employer:''' OFAI, Vienna, Austria
+
The Ubiquitous Knowledge Processing Lab (UKP Lab) at the Department of Computer Science of the Technische Universität (TU) Darmstadt, Germany, has an opening for a PhD student (TV-TU E13 German payscale) in a research project in Natural Language Processing (NLP) for a computer scientist or computational linguist. The project focusses on building an open text-mining infrastructure at the European level (Principal Investigator: Prof. Dr. Iryna Gurevych).
−
* '''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)
+
Thereby, major NLP and Text Mining platforms, including UIMA and GATE, should be made interoperable and applied to knowledge discovery in scientific literature, e.g. entity disambiguation and linking to a background knowledge repository. In the past, the UKP Lab has developed several frameworks such as the Darmstadt Knowledge Processing Repository (DKPro) and UBY. They form the foundation for the research and implementation work to be done. The graduate program Knowledge Discovery in Scientific Literature provides further research environment for the work to be carried out.
−
in Vienna, Austria offers two research positions in its Language
 
−
Technology group.
 
  
−
Candidates are expected to have a degree in computational linguistics
+
'''Requirements'''
−
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.
+
Applicants in Computer Science or Computational Linguistics must have demonstrable experience in designing and implementing complex natural language processing (NLP) systems or NLP-based applications and the programming language Java as well as strong research skills. Excellent communication skills in English and the ability to work in a team are required. Experience in open-source software development is a plus.
  
−
Both positions are in the framework of a project aiming at advancing
+
The following academic qualification is necessary: completion of an M.A./M.Sc. in Computer Science, Computational Linguistics, or a related field.
−
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.
+
Pending the successful completion of the ongoing administrative steps for the project, funding of this position is available from June 1st, 2015 for the duration of three years.
−
Continued employment after the end of the project is possible.
 
  
−
Depending on academic credentials and experience of the candidate,
+
Applications should include a CV, a motivation letter, an outline of research experience, as well as names and addresses of two referees.
−
the yearly gross salary will be in the range of EUR 42000 - 54000.
 
  
−
Both positions are to be filled asap.
+
Interviews may start at any time and will continue until the position has been filled. Email address for inquiries and applications: eckart (at) ukp (dot) informatik (dot) tu-darmstadt (dot) de
  
−
Please mail applications including a CV to Harald Trost <harald.trost@ofai.at>
+
The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. The UKP Lab is also home to the unique research initiative "Knowledge Discovery in the Web” which emphasizes natural language processing, text mining, machine learning, as well as scalable infrastructures for assessment and aggregation of knowledge.  
  
 +
The Technische Universität Darmstadt promotes gender equality and in particular encourages women to apply. Preference will be given to physically handicapped persons if they are equally qualified.
  
−
==Postdoctoral Fellowship at the Institut de Recherche en Informatique de Toulouse (IRIT) Université de Toulouse 3==
 
  
−
Subject : Applying learning techniques to discourse analysis
+
==Internship position available in Natural Language Processing at Adobe Research==
 +
* Employer: Adobe Systems Incorporated
 +
* Title: NLP Scientist Intern
 +
* Natural Language Processing, Machine Learning, Dialog Systems.
 +
* Location: San Jose, CA
 +
* Deadline: open until the position is filled
 +
* Date Posted: February 24, 2015
 +
* Trung Bui: bui@adobe.com
  
−
Période : 12 months, September 2009 -> August 2010
+
'''Description''':  
 +
We are looking for an NLP scientist intern who will work on exploring deep learning for mapping between natural language queries and logic form and/or SQL.
  
−
Context :
+
'''Key Qualifications'''
−
This postdoctoral fellowship, is part of the ANR project
+
*Experience with semantic parsing, dialog systems.
−
ANNODIS, which includes the labs: IRIT (Université de Toulouse 3), CLLE (Université
+
*Experience with machine learning, deep learning.
−
de Toulouse 2), and GREYC Université de Caen). The goal of this project is to
+
*Good programming skills in Java and/or Python
−
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
+
'''Education'''
−
Nicholas Asher.
+
M.S. or PhD student in Computer Science or related field
  
−
Objectives :
+
'''Additional Requirements'''
−
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.
+
No.
 +
== Postdoc in Advanced Machine Learning (with an Emphasis on NLP) ==
  
−
The postdoctoral fellow will also be in charge of the final collection and organization of the manual annotation data.
+
*Employer:  University of Notre Dame
 +
*Job Number:  4015639
 +
*Date Posted:  02/17/2015
 +
*Application Deadline: Open Until Filled
 +
*Online application: http://www.postdocjobs.com/jobs/jobdetail.php?jobid=4015639
  
−
Candidate should have:
+
'''Job Description'''
−
- 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.
+
The Computer Science Department at the University of Notre Dame in collaboration with the Institute for Intelligent Systems at the University of Memphis anticipates hiring a postdoctoral fellow starting as early as April 1st 2015 for one year and renewable for a second year. The position includes a full time salary and benefits and is jointly funded by sponsored research split between the University of Notre Dame and the University of Memphis. Review of applications will start immediately and continue until the position is filled.
  
 +
The successful candidate will conduct research in machine learning applied to dialog-centered natural language understanding. He/she will participate in the development and application of machine learning techniques in the hierarchical and temporal domains to multi-party speech data collected in authentic educational contexts.
  
−
Salary: 3000 euro per month
+
The candidate will work under the supervision of Dr. Sidney D’Mello, who has joint appointments in the Departments of Computer Science and Psychology at Notre Dame, and Dr. Andrew Olney in the Institute for Intelligent Systems at the University of Memphis.
  
−
Candidates should send a dossier with a detailed CV (pdf) by email to:
+
The position offers a unique postdoctoral training experience and unsurpassed publishing opportunities within a multi-department multi-institution grant-funded project. The postdoc will be encouraged to build advanced technical skills, strengthen their research portfolios via peer-reviewed publications, develop leadership skills by mentoring students, and gain expertise in authoring collaborative grant proposals.
−
asher@irit.fr AND muller@irit.fr.
 
  
 +
'''Required'''
  
−
== Post-Doctoral Position in Computational Linguistics at Uppsala University ==
+
(1) Ph.D. in Computer Science, Artificial Intelligence, or a related field at the time of hire; (2) Research experience in advanced machine learning techniques for sequential and hierarchical domains (e.g., probabilistic graphical models, sequence tagging, deep learning) ; (3) Evidence of a strong publication record in the aforementioned areas
  
−
* '''Employer:''' Uppsala University, Sweden
+
'''Desired'''
−
* '''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
+
(1) Research experience in one or more of the following research areas (acoustic signal processing, automatic speech recognition, natural language understanding, discourse modeling) ; (2) Experience working on interdisciplinary projects and/or on educational research; (3) Experience mentoring graduate and undergraduate students
−
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>.
 
  
 +
For more information see the application link above.
  
−
== Research Positions, Human Language Technology Center of Excellence ==
+
== Software Engineer/NLG Specialist in Sydney, Aus - Natural Lanaguage Generation==
 +
*Employer: Macquarie Group
 +
*Title: Software Engineer/NLG Specialist
 +
*Specialties: Natural Language Generation, Application Development, Linguistics
 +
*Location: Sydney, Australia
 +
*Date posted: 29 January 2015
 +
*Contact information: andy.logan@macquarie.com
 +
*Online application: http://www.careers.macquarie.com/cw/en/job/923649/software-engineers-nlpnlg-programming-equities-research
  
−
* '''Employer:''' Human Language Technology Center of Excellence (at Johns Hopkins University)
+
'''Job Description'''
−
* '''Titles:''' Postdoctoral researchers, research staff, professors on sabbaticals, visiting scientists
+
*Unique opportunity within the Equities Research space for a Engineer with strong NLG experience
−
* '''Specialty:''' Speech and Natural Language Processing
+
*New Systems Implementation with Opportunity to push the envelope within Research
−
* '''Deadline:''' April 1, 2009
+
*Permanent Opportunity – Sydney CBD Location
−
* '''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.
+
'''About the role'''
  
−
Candidates should have a strong background in one of the following areas:
+
We are seeking a Software Engineer to join our Equities Research business team. This is a truly unique opportunity for someone to join Macquarie working on a pioneering project within the business which could be a big game changer. The role will utilise your strong NLG/NLP experience and you will be responsible for building and developing the NLG functionality within the team. If you are interested in gaining commercial experience with NLG, have excellent written communications and have a flair for English grammar, have a passion for finance and in particular Equities Trading and want the opportunity to really pioneer something, then this could be the position for you.
  
−
- NATURAL LANGUAGE PROCESSING: Information extraction, knowledge distillation, machine translation, semantic annotation, text processing, etc.
+
'''Key Responsibilities'''
 +
*Design and Develop our first NLG/NLP Application within Equities Research
 +
*Work closely with the vendor to understand the application limitations and functionality
 +
*Drive the development with the Head of Research as well as industry analysts
 +
*Mature the offering and look for further areas of development within the business
  
−
- SPEECH PROCESSING: Robust speech recognition across language channel, formal vs. informal genres, speaker identification, language identification, speech retrieval, spoken term detection, etc.
+
'''About You'''
  
−
- MACHINE LEARNING: Learning on very large datasets and streams for text and/or speech, feature extraction, domain adaptation, semi-supervised learning
+
To be successful in this role as a Software Engineer you will possess a University Degree in Computer Science/Mathematics and would have probably undertaken further studies of some sort (Masters/PhD) and have previous Natural Language Generation/Processing experience in either a commercial or research environment. You will have a passion and flair for the English Language as well as having a interest in financial services and in particular traded products. Previous OO Development experience would be highly regarded. In addition you will possess the following:
  
−
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.
+
*Tenacity to produce different If Statements and to develop the platform further
 +
*Strong interest in Artificial Intelligence/Machine Based Learning.
 +
*Keen interest in finance
 +
*Self Starter and strong attention to detail to really drive uptake of the platform
  
−
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.
+
This is a unique opportunity within Macquarie and quite possibly a pioneering project within the Investment Banking space. We are looking to hire two developers into the team and are flexible across career levels from recent Grads to Senior Engineers. Here at Macquarie we truly believe in you owning your future, at Macquarie you’ll own it. Find out more at the new Careers website: '''macquarie.com/career'''
  
−
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.
+
If you meet the above requirements, please apply via the following link. Alternatively to find out more about the position and a confidential discussion, please contact '''Andy Logan on 02 8237 8472 or andy.logan@macquarie.com'''
  
 +
== PostDoc Position in Heidelberg (NLP, Networks, Databases, Machine Learning)==
 +
*Employer: Heidelberg Institute for Theoretical Studies gGmbH (HITS)
 +
*Title: PostDoc
 +
*Specialties: Natural Language Processing, Networks, Databases, Machine Learning
 +
*Location: Heidelberg, Germany
 +
*Deadline: 20 February 2015
 +
*Date posted: 29 January 2015
 +
*Contact information: michael.strube (at) h-its.org
 +
*Online application: https://application.h-its.org/intern/register.php?id=o51kdq1
  
−
== Chair and Lectureship in Computing Science, Aberdeen ==
+
'''Job Description'''
 +
PostDoc position available in the NLP group at the Heidelberg Institute for Theoretical Studies (HITS) in Heidelberg, Germany
  
−
* '''Employer:''' University of Aberdeen
+
One position is available for a PostDoc working in Natural Language Processing, in particular in the areas of Entity Linking, Cross-document Coreference Resolution, Coreference Resolution, Word Sense Disambiguation. The position is within a newly funded project on "Scalable Author Name Disambiguation in Bibliographic Databases". Project partners are DBLP (http://dblp.org/db/) and zbMATH (https://zbmath.org/), the two leading bibliographic databases in computer science and mathematics which will also supply the data to be disambiguated and the gold standard. The project will be funded for three years starting June 1st, 2015.
−
* '''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 candidate should have a strong background in Natural Language Processing and possess a PhD in either Computational Linguistics or Computer Science. Experience with machine learning, databases, parallel programming, big data and networks as well as strong programming skills are required.
  
−
== Natural Language Generation Group, The Open University: Research Associate, Text-to-Text Generation/Dialogue ==
+
HITS gGmbH is a private non-profit research institute carrying out multidisciplinary research in the computational sciences. It receives its base funding from the HITS Stiftung.
  
−
* '''Employer:''' The Open University
+
The NLP group (http://www.h-its.org/en/research/nlp/) at HITS is an interdisciplinary research group that works on applications in the area of discourse and dialogue, in particular coreference resolution, entity linking, automatic summarization, and knowledge extraction from semistructured input. The NLP group at HITS works closely together with the Computational Linguistics Department at the University of Heidelberg.  
−
* '''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]
 
  
 +
To apply, please enter your application via the following link: https://application.h-its.org/intern/register.php?id=o51kdq1 (reference Postdoc NLP HITS-01-2015)
  
−
== Postdoctoral and research engineer positions available at the Singapore Management University ==
+
Applications must be submitted by February 20, 2015. Please note that applications not submitted via the online system will not be considered. Inquiries about the position can be directed at Michael Strube (michael.strube (at) h-its.org).
  
−
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.
 
  
−
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.
+
==Postdoc position in Cardiff (NLP, IR, machine learning)==
 +
*Employer: Cardiff University
 +
*Title: Postdoc
 +
*Specialties: Natural language processing, information retrieval, machine learning, distributional models, relation extraction, commonsense resoning
 +
*Location: Cardiff, UK
 +
*Deadline: 3 February 2015
 +
*Date posted: 9 January 2015
 +
*Contact information: SchockaertS1@cardiff.ac.uk
  
−
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.
+
'''Job Description'''
  
−
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:
+
Applications are invited for a postdoctoral research associate post in the School of Computer Science & Informatics at Cardiff University. This is a full-time, fixed-term post for 30 months, starting on 1 May 2015 or as soon as possible thereafter.  
  
−
  - Knowledge and experience in machine learning, data mining and statistics/probabilities
+
The main aim of this project is to learn fine-grained semantic relations from large text corpora. Initially such relations will be obtained in an unsupervised way, by identifying semantic relations with spatial relations between vector-space representations. Subsequently, open-domain, supervised relation extraction methods will be developed which use the output of the unsupervised methods as training data. This research will be part of an ERC funded project on the use of semantic relations between natural language terms in logics for commonsense reasoning. You will work closely with Dr Steven Schockaert. You will possess a PhD in Computer Science or a closely related area, or have equivalent experience.
−
  - Strong programming skills
 
−
  - Proficiency in English
 
  
−
For the first project, we also prefer candidates with
+
'''Essential criteria'''
  
−
  - Knowledge and experience in natural language processing
+
*Proven ability to undertake research in a relevant research area (e.g. natural language processing, information retrieval, machine learning) at an international level, as evidenced by research output.
−
  - Experience with information extraction, transfer learning and/or semi-supervised learning is a plus
+
*Excellent programming skills (java or C/C++).
 +
*A demonstrable history of contributing to excellent publications in relevant top-tier conferences (e.g. ACL, EMNLP, SIGIR, CIKM, IJCAI, AAAI, ICML) and journals (e.g. Artificial Intelligence, Journal of Artificial Intelligence Research, ACM Trans. Information Systems, IEEE Trans. Knowledge and Data  Engineering).
 +
*Proven ability to communicate specialist ideas clearly in English using written media.
 +
*Excellent organisational skills with a proven ability to work independently and be self-managing, to prioritise your work and meet deadlines within the framework of an agreed programme.
 +
*A PhD in Computer Science or closely related area, or equivalent experience.
  
−
For the second project, we also prefer candidates with
+
'''Desirable criteria'''
  
−
  - Knowledge in social network analysis and web mining
+
*Knowledge of statistical natural language processing.
 +
*Knowledge of unsupervised and semi-supervised learning.
 +
*Knowledge of relation extraction.
 +
*Experience with analysing large text corpora using a high-performance computing environment.
 +
*Experience with dimensionality reduction methods such as multi-dimensional scaling, singular-value decomposition, and non-negative matrix factorisation.
  
−
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.
+
'''More information'''
 +
For more details about the project and instructions on how to apply, please go to www.cardiff.ac.uk/jobs and search for job 2972BR.
  
−
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:  
+
==Post‐Doctoral and all levels of Research Scientist at the Allen Institute for Artificial Intelligence==
 +
*Employer: Allen Institute for Artificial Intelligence (AI2)
 +
*Title: Post-doc/Research Scientist
 +
*Specialties (one or more): Natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, question answering and explanation
 +
*Location: Seattle, WA
 +
*Deadline: N/A, we are hiring throughout 2015
 +
*Date posted: 12/9/2014
 +
*Contact information: ai2-info@allenai.org, allenai.org
  
−
  1. Transfer Learning for Adaptive Relation Extraction: Jing Jiang (jingjiang@smu.edu.sg).
+
'''Job Description'''
−
  2. Mining Interaction Behaviors from Information Exchange Networks: Ee-Peng Lim (eplim@smu.edu.sg).
 
  
 +
The Allen Institute for Artificial Intelligence (AI2) is a non-profit research institute in Seattle founded by Paul Allen and headed by Professor Oren Etzioni.  The core mission of (AI2) is to contribute to humanity through high-impact AI research and engineering. We are actively seeking Post Docs and Research Scientists at all levels who are passionate about AI and who can help us achieve this core mission by teaming to construct AI systems with reasoning, learning and reading capabilities.
  
−
== Tenure Track Faculty Position: Assistant/Associate Professor in Human Computer Interaction, Montclair State University, NJ, USA ==
+
'''Position Summary'''
−
 
 
−
Vacancy #: VF-22
 
−
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):
+
AI2 currently has projects in the following areas:
−
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:
+
*Language and Vision
 +
*Information extraction and semantic parsing
 +
*Question answering
 +
*Language and reasoning
 +
*Machine learning and theory formation
 +
*Semantic search
 +
*Diagram understanding
  
−
Search Committee — V- F22
+
AI2 Research Scientists will have a primary focus in one of these specific areas but will also have the opportunity to contribute and engage in a variety of other areas critical to our research and mission.  These include opportunities to participate in or lead select R&D projects, work with management to develop the long term vision for knowledge systems R&D, take a leading role in overseeing and implementing software systems supporting the research, author and present scientific papers and presentations for peer-reviewed journals and conferences, and help develop collaborative and strategic relationships with relevant academic, industrial, government, and standards organizations.
−
Department of Computer Science
 
−
Montclair State University
 
−
Montclair, NJ 07043
 
  
−
(include V number) and professional goals to:
+
'''Applicant'''
−
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.
+
Applicants for Research Scientist at AI2 should have a strong foundation (typically PhD level) in one or more of the following areas: natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, or question answering and explanation.  We look favorably upon extensive work experience demonstrating application of your research.
  
−
Montclair State is a New Jersey State university. It is located 14 miles west of New York City.
+
'''Application Process'''
  
 +
All candidates are required to submit a resume, an expression of interest, and the names and contact information of at least 2 references (including email addresses) through our website: http://allenai.github.io/ai2website/jobs.html. We particularly welcome applications from women, people of color, members of the LGBT communities, and people with disabilities. Visa sponsorship is available.
  
−
== Internship on Textual Entailment Applied to Statistical Machine Translation, Xerox Research Centre Europe, Grenoble - France ==
 
  
−
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].  
+
==Multiple Tenure-Track Positions (w/focus in Data Analytics) at The Ohio State University Department of Computer Science and Engineering==
 +
* Employer: The Ohio State University
 +
* Title: Assistant/Associate/Full Professor
 +
* Specialty: open, two positions in Data Analytics
 +
* Location: Columbus, OH, USA
 +
* Deadline: January 31, 2015 (Consideration starts November 2014)
 +
* Date Posted: November 17, 2014
 +
* Website: https://web.cse.ohio-state.edu/cgi-bin/portal/fsearch/apply.cgi
  
−
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.  
+
The Computer Science and Engineering Department at the Ohio State University expects to fill multiple tenure-track positions and seeks applicants in all areas of computer science.
  
−
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:  
+
Particular emphasis will be placed on filling two open rank positions in conjunction with a broad university-wide research initiative on Data Analytics (https://discovery.osu.edu/focus-areas/data-analytics/collaborative.html), and a recently announced undergraduate program in Data Analytics (https://data-analytics.osu.edu). Areas of interest for these positions include (but are not limited to): data mining, big data management, cloud computing systems, data analytics; application of machine learning or data mining or data visualization to problems in network science (including social networks), health, and climate science.
  
−
* Integration of existing paraphrase and entailment resources into SMT settings, and assessment of their applicability in this domain;
+
The department is committed to enhancing faculty diversity; women, minorities, and individuals with disabilities are especially encouraged to apply.
−
* 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.
+
Applicants should hold or be completing a Ph.D. in CSE or a closely related field, have a commitment to and demonstrated record of excellence in research, and a commitment to excellence in teaching.
  
−
Contact:  
+
To apply, please submit your application via the online database. The link can be found at: https://web.cse.ohio-state.edu/cgi-bin/portal/fsearch/apply.cgi.
  
−
* Lucia Specia: lucia.specia@xrce.xerox.com
+
Review of applications will begin in November 2014 and will continue until the positions are filled.
−
* Marc Dymetman: marc.dymetman@xrce.xerox.com
 
  
−
For more information: http://www.xrce.xerox.com/internships/LS-MD.TE-SMT_2009.2008.html
+
The Ohio State University is an Equal Opportunity/Affirmative Action Employer.

Revision as of 18:31, 23 June 2015

Data Scientist - Unstructured Data at Civis Analytics

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


Who We Are

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

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

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

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

Why should you join our team?

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

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

Position Overview

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

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

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

Requirements

MINIMUM QUALIFICATIONS

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

PREFERRED QUALIFICATIONS

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

How to Apply

Apply online at: civisanalytics.com/careers

Postdoctoral Fellow in NLP at University of Pennsylvania

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

Job Description

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

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

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

Requirements

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

How to Apply

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


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

Job Description

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

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

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

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

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

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

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

Job Description

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

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

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

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

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

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

Job Description

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

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

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

Required

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

Preferred

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

Additional Information

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

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


PhD position in statistical language modelling

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

Job Description

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

Funding and eligibility

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

Candidates should:

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

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

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

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

Further information

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

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

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

Job Description

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

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

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

Requirements

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

How to Apply

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

Postdoctoral Researcher in NLG for Narrative

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

Job Description

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

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

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

Requirements

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

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

Experience in the following areas would be a plus:

  • Automated discourse planning technologies
  • Dialogue generation

Position details

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

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

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


PhD-level Researchers in Language Technology or Computational Linguistics

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

Job Description

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

PhD-level Researchers in Language Technology or Computational Linguistics

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

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

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

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

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

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

Requirements

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

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

Applications should include

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

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


Research staff position in Natural Language Processing

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

Job Description

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

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

Requirements

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

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


PhD-position in NLP/Text Mining

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

Job Description

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

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

Requirements

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

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

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

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

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

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

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


Internship position available in Natural Language Processing at Adobe Research

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

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

Key Qualifications

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

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

Additional Requirements No.

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

Job Description

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

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

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

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

Required

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

Desired

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

For more information see the application link above.

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

Job Description

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

About the role

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

Key Responsibilities

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

About You

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

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

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

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

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

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

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

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

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

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

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

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

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


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

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

Job Description

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

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

Essential criteria

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

Desirable criteria

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

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

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

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

Job Description

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

Position Summary

AI2 currently has projects in the following areas:

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

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

Applicant

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

Application Process

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


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

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

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

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

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

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

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

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

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

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