Difference between revisions of "Employment opportunities, postdoctoral positions, summer jobs"
(Posted a new postdoc ad) |
|||
| (70 intermediate revisions by 34 users not shown) | |||
| Line 2: | Line 2: | ||
<!-- PLEASE DO NOT EDIT THIS HEADER --> | <!-- PLEASE DO NOT EDIT THIS HEADER --> | ||
* '''[[Instructions for Posting Job Ads]]''' | * '''[[Instructions for Posting Job Ads]]''' | ||
| − | * See also the [http://linguistlist.org/jobs | + | * See also the [http://linguistlist.org/jobs Linguist Job List]. |
* Archived postings: | * Archived postings: | ||
| − | ** [[Employment opportunities posted 2012|2012]] - [[Employment opportunities posted 2011|2011]] - [[Employment opportunities posted 2010|2010]] - [[Employment opportunities posted 2009|2009]] - [[Employment opportunities posted 2008|2008]] - [[Employment opportunities posted 2007|2007]] | + | ** [[Employment opportunities posted 2014|2014]] - [[Employment opportunities posted 2013|2013]] - [[Employment opportunities posted 2012|2012]] - [[Employment opportunities posted 2011|2011]] - [[Employment opportunities posted 2010|2010]] - [[Employment opportunities posted 2009|2009]] - [[Employment opportunities posted 2008|2008]] - [[Employment opportunities posted 2007|2007]] |
<!-- PLEASE DO NOT EDIT THIS HEADER --> | <!-- PLEASE DO NOT EDIT THIS HEADER --> | ||
<!-- PLEASE BE CAREFUL NOT TO DAMAGE ANOTHER PERSON'S AD --> | <!-- PLEASE BE CAREFUL NOT TO DAMAGE ANOTHER PERSON'S AD --> | ||
| Line 11: | Line 11: | ||
<!-- END OF HEADER --> | <!-- END OF HEADER --> | ||
| − | == | + | ==Postdoctoral Researcher in NLP at U.S. Army Research Lab== |
| − | + | * Employer: U.S. Army Research Lab, Adelphi Laboratory Center | |
| − | * Employer: | + | * Title: Postdoctoral Researcher |
| − | * | + | * Topics: Natural Language Processing |
| − | * | + | * Location: Adelphi, MD, USA |
| − | * Location: | ||
* Deadline: Open until filled | * Deadline: Open until filled | ||
| − | * Date Posted: | + | * Date Posted: March 17, 2015 |
| − | * Contact | + | * 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. | |
| − | * Employer: | + | ==Postdoctoral Researcher in NLG for Narrative== |
| − | * | + | * Employer: Liquid Narrative Group, North Carolina State University |
| − | * | + | * Title: Postdoctoral Research Scholar |
| − | * Location: | + | * Topics: Natural Language Generation, Narrative Generation, Knowledge Representation, AI Planning |
| − | * Deadline: | + | * Location: Raleigh NC, USA |
| − | * Date Posted: | + | * Deadline: Open Until Filled |
| − | * | + | * Date Posted: March 10, 2015 |
| + | * Online Application: http://jobs.ncsu.edu/postings/40524 | ||
| − | ''' | + | '''Job Description''' |
| − | The | + | 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 | + | 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 „[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: | |
| − | + | 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 [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. | |
| − | The | ||
| − | |||
| − | ''' | + | '''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 | + | 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) == | |
| − | |||
| − | |||
| − | |||
| − | |||
| − | + | *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 | ||
| − | + | '''Job Description''' | |
| − | The | + | 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 | + | 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== |
| + | *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 | ||
| − | + | '''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 |
| − | * Location | + | *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. | |
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | + | ==Internship and Full-time positions available in Natural Language Processing at Apple Inc. (Siri)== | |
| + | * Employer: Apple Inc. | ||
| + | * Title: Language Understanding / Dialog Scientist | ||
| + | * Natural Language Processing, Machine Learning, Semantic Parsing, Dialog Systems. | ||
| + | * Location: Cupertino, CA | ||
| + | * Deadline: rolling | ||
| + | * Date Posted: December 2, 2014 | ||
| + | * Thomas Kollar: tkollar@apple.com | ||
| − | + | '''Description''': | |
| + | Play a part in the next revolution in human-computer interaction. Contribute to a product that is redefining mobile computing. Create groundbreaking technology for large scale systems, spoken language understanding, big data, and artificial intelligence. And work with the people who created the intelligent assistant that helps millions of people get things done — just by asking. Join the language understanding and dialog team at Apple. The Siri team is looking for exceptionally skilled and creative scientists and engineers eager to get involved in hands-on work improving the Siri experience. | ||
| − | + | '''Key Qualifications''' | |
| − | * | + | *Experience with semantic parsing, dialog modeling, information extraction, question answering, semantic web, syntactic parsing, machine translation, language modeling, sentiment analysis or speech processing. |
| − | * | + | *Experience with supervised, weakly-supervised and unsupervised machine learning algorithms. |
| − | * | + | *Exceptional analytical, troubleshooting and problem solving skills |
| − | * | + | *Ability to implement algorithms in Java and C++ in addition to performing experiments using scripting languages (Python, Perl, Ruby, bash). |
| − | + | *Strong software engineering skills | |
| − | + | *Experience working with multilingual datasets | |
| − | * | + | *Large scale data analysis experience using distributed clusters (e.g. Pig, Spark, GraphLab, GraphX, MapReduce) a plus |
| − | * | ||
| − | * | ||
| + | '''Description''' | ||
| + | You will be a part of a team that's responsible for a wide variety of natural language processing and spoken dialog systems research and development activities, including semantic parsing, dialog modeling, information extraction and question answering. Traditionally these conversational understanding applications have been focused on developing algorithms for a particular domain or language. Here at Siri, you will use large amounts of training data from Siri requests and the web to solve these problems across languages and domains. You are passionate about using your skills to implement and improve algorithms in order to create the phenomenal products. Because you'll be working closely with engineers from a number of other teams at Apple, you’ll need to be a team player who thrives in a fast paced environment. | ||
| − | + | '''Education''' | |
| + | M.S. or PhD in Computer Science or related field | ||
| − | + | '''Additional Requirements''' | |
| − | + | 2+ years of experience in natural language processing, speech processing, machine learning, artificial intelligence or dialog systems is desired. | |
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | + | ==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. | |
Revision as of 08:47, 17 March 2015
- Instructions for Posting Job Ads
- See also the Linguist Job List.
- Archived postings:
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)
- 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
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
- 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
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.
Internship and Full-time positions available in Natural Language Processing at Apple Inc. (Siri)
- Employer: Apple Inc.
- Title: Language Understanding / Dialog Scientist
- Natural Language Processing, Machine Learning, Semantic Parsing, Dialog Systems.
- Location: Cupertino, CA
- Deadline: rolling
- Date Posted: December 2, 2014
- Thomas Kollar: tkollar@apple.com
Description: Play a part in the next revolution in human-computer interaction. Contribute to a product that is redefining mobile computing. Create groundbreaking technology for large scale systems, spoken language understanding, big data, and artificial intelligence. And work with the people who created the intelligent assistant that helps millions of people get things done — just by asking. Join the language understanding and dialog team at Apple. The Siri team is looking for exceptionally skilled and creative scientists and engineers eager to get involved in hands-on work improving the Siri experience.
Key Qualifications
- Experience with semantic parsing, dialog modeling, information extraction, question answering, semantic web, syntactic parsing, machine translation, language modeling, sentiment analysis or speech processing.
- Experience with supervised, weakly-supervised and unsupervised machine learning algorithms.
- Exceptional analytical, troubleshooting and problem solving skills
- Ability to implement algorithms in Java and C++ in addition to performing experiments using scripting languages (Python, Perl, Ruby, bash).
- Strong software engineering skills
- Experience working with multilingual datasets
- Large scale data analysis experience using distributed clusters (e.g. Pig, Spark, GraphLab, GraphX, MapReduce) a plus
Description You will be a part of a team that's responsible for a wide variety of natural language processing and spoken dialog systems research and development activities, including semantic parsing, dialog modeling, information extraction and question answering. Traditionally these conversational understanding applications have been focused on developing algorithms for a particular domain or language. Here at Siri, you will use large amounts of training data from Siri requests and the web to solve these problems across languages and domains. You are passionate about using your skills to implement and improve algorithms in order to create the phenomenal products. Because you'll be working closely with engineers from a number of other teams at Apple, you’ll need to be a team player who thrives in a fast paced environment.
Education M.S. or PhD in Computer Science or related field
Additional Requirements 2+ years of experience in natural language processing, speech processing, machine learning, artificial intelligence or dialog systems is desired.
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.