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Ali Reza Ebadat
Aug 14, 2015, 3:33:51 AM8/14/15
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The recently established Research Training Group „Adaptive Information Preparation from Heterogeneous Sources“ (AIPHES) at the Technische Universität Darmstadt and at the Ruprecht-Karls-University Heidelberg fills a position for three years as a PhD-level Researcher in Natural Language Processing.
The position provides an opportunity to obtain a doctoral degree in natural language processing with the focus on “Structured summaries of complex contents”. Thereby, the candidate will have a chance to research methods operating on large-scale corpora to extract hidden language-based structures that allow the users to effectively navigate the information space. The project will utilize both linguistic notions from computational linguistics and the most recent developments in computer science methods, such as graph-based methods, ranking methods, or deep learning. Through a set of cooperations in the areas of large-scale databases, high-performance computing and distributed systems, we aim to develop a real-time, scalable NLP system for structuring continuous text streams on the Web. The position is situated in the Computer Science Department of the Technische Universität Darmstadt and is affiliated with the Ubiquitous Knowledge Processing (UKP) Lab, Prof. Dr. Iryna Gurevych. The funding follows the guidelines of the German Research Foundation (DFG), and the positions are paid according to the E13 public service pay scale.
The goal of AIPHES is to conduct innovative research in a cross-disciplinary context. To that end, methods in computational linguistics, natural language processing, machine learning, network analysis, and automated quality assessment are jointly developed. AIPHES investigates a novel scenario for information preparation from heterogeneous sources, within the application context of multi-document summarization. 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.
Participating research groups at the Technische Universität Darmstadt are Knowledge Engineering, Ubiquitous Knowledge Processing, Algorithmics, Language Technology, Multimedia Communications. Participants at the Ruprecht-Karls-University Heidelberg are the Institute for Computational Linguistics and the Natural Language Processing Group 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 emphasizes close contact between students and their advisors with regular joint meetings, a co-supervision by professors and younger scientists in the research groups, and an intensive exchange as part of the research and qualification program. The training group has the goal of publishing its results at leading scientific conferences and actively supports ist doctoral researchers in this endeavor. The software that will be developed in the course of AIPHES should be put under the open source Apache Software License 2.0 if possible. Moreover, the research papers and datasets should be published with open access models.
Prerequisites
We are looking for exceptionally qualified candidates with a degree in Computer Science, Computational Linguistics, or a related study program. We expect ability to work independently, personal commitment, team and communication abilities, as well as the willingness to cooperate in a multi-disciplinary team. Desirable is experience in scientific work. Applicants should be 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 the above described research theme,
* 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 August 18th, 2015 to the spokesperson of the research training group, Prof. Dr. Iryna Gurevych (Fachbereich Informatik, Hochschulstr. 10, 64289 Darmstadt) using the e-mail address jo...@ukp.informatik.tu-darmstadt.de.
The position provides an opportunity to obtain a doctoral degree in natural language processing with the focus on “Structured summaries of complex contents”. Thereby, the candidate will have a chance to research methods operating on large-scale corpora to extract hidden language-based structures that allow the users to effectively navigate the information space. The project will utilize both linguistic notions from computational linguistics and the most recent developments in computer science methods, such as graph-based methods, ranking methods, or deep learning. Through a set of cooperations in the areas of large-scale databases, high-performance computing and distributed systems, we aim to develop a real-time, scalable NLP system for structuring continuous text streams on the Web. The position is situated in the Computer Science Department of the Technische Universität Darmstadt and is affiliated with the Ubiquitous Knowledge Processing (UKP) Lab, Prof. Dr. Iryna Gurevych. The funding follows the guidelines of the German Research Foundation (DFG), and the positions are paid according to the E13 public service pay scale.
The goal of AIPHES is to conduct innovative research in a cross-disciplinary context. To that end, methods in computational linguistics, natural language processing, machine learning, network analysis, and automated quality assessment are jointly developed. AIPHES investigates a novel scenario for information preparation from heterogeneous sources, within the application context of multi-document summarization. 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.
Participating research groups at the Technische Universität Darmstadt are Knowledge Engineering, Ubiquitous Knowledge Processing, Algorithmics, Language Technology, Multimedia Communications. Participants at the Ruprecht-Karls-University Heidelberg are the Institute for Computational Linguistics and the Natural Language Processing Group 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 emphasizes close contact between students and their advisors with regular joint meetings, a co-supervision by professors and younger scientists in the research groups, and an intensive exchange as part of the research and qualification program. The training group has the goal of publishing its results at leading scientific conferences and actively supports ist doctoral researchers in this endeavor. The software that will be developed in the course of AIPHES should be put under the open source Apache Software License 2.0 if possible. Moreover, the research papers and datasets should be published with open access models.
Prerequisites
We are looking for exceptionally qualified candidates with a degree in Computer Science, Computational Linguistics, or a related study program. We expect ability to work independently, personal commitment, team and communication abilities, as well as the willingness to cooperate in a multi-disciplinary team. Desirable is experience in scientific work. Applicants should be 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 the above described research theme,
* 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 August 18th, 2015 to the spokesperson of the research training group, Prof. Dr. Iryna Gurevych (Fachbereich Informatik, Hochschulstr. 10, 64289 Darmstadt) using the e-mail address jo...@ukp.informatik.tu-darmstadt.de.
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Ali Reza Ebadat
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