(Posted: September 13, 2024; Deadline: October 6, 2024) The Theoretical Computational Linguistics group [1] at the Institute for Natural Language Processing (IMS), University of Stuttgart, Germany, has two open positions as part of the MULTIVIEW project [2]: one for a PhD candidate and one for a postdoctoral researcher. The project, led by Amelie Wührl [3] and Tanise Ceron [4], focuses on diversifying news recommendation.
The successful candidates will investigate methods for diversifying perspectives in news recommendation systems based on textual and discourse features. The general goals are to create datasets and develop methods that identify and rank news based on a variety of perspectives on the same events. The candidates should have a background in computer science, computational linguistics or similar with substantial knowledge of natural language processing including neural network modeling and strong programming and software engineering skills. They require excellent communication skills and knowledge of English, and interest in interdisciplinary and team work. Prior experience with recommendation systems and large language models are considered a plus. A master’s degree level of education is required for the PhD candidate and a PhD title is required for the postdoctoral candidate. The candidates will be employed by IMS at the University of Stuttgart. The PhD position is available for three years, starting in January 2025. It is a 75% position, following the German university pay scale (TV-L 13) [5]. The candidate will be co-supervised by Sebastian Padó [6] and Tanise Ceron. The postdoctoral position is for a duration of 13 months, beginning in January 2025. It is a full-time position (100%), also according to the German university pay scale (TV-L 13) [7]. To apply, please send a full CV and letter of motivation together in a single PDF document to Tanise Ceron (tanise.ceron at ims.uni-stuttgart.de). The motivation letter should highlight the candidate’s relevant research or work experience, explain their interest in the project, and outline how they can contribute to it. Applications received by October 6 will receive full consideration. For further clarification, please contact Amelie Wührl and Tanise Ceron (amelie.wuehrl, tanise.ceron at ims.uni-stuttgart.de) About Stuttgart and the University of Stuttgart: The University of Stuttgart is a technically oriented university in Germany. It is especially known for engineering and related topics, with its computer science department being ranked highly nationally and internationally. The Institute of Natural Language Processing (Institut für Maschinelle Sprachverarbeitung, IMS), which forms part of the Faculty of Computer Science and Electrical Engineering, is one of the largest academic research institutes for natural language processing in Germany. Its activities range from computational corpus linguistics to semantic processing, machine translation, psycholinguistics, and phonetics. The city of Stuttgart is the capital of the state of Baden-Württemberg in the south-west of Germany and known for its strong economy, rich culture and its location across a variety of hills, many covered in vineyards. It is a lively place with an active bar and club scene and well-serviced public transport. By train, it is well-connected to many other interesting places, for instance Munich and Cologne (~2 hours), Paris (~3.5 hours), Berlin (~5.5 hours), Strasbourg (1 hour) or Lake Constance (2 hours). [1] https://www.ims.uni-stuttgart.de/en/institute/researchgroups/tcl/ [2] https://www.ims.uni-stuttgart.de/en/research/projects/multiview/ [3] https://www.ims.uni-stuttgart.de/institut/team/Wuehrl/ [4] https://tceron.github.io/ [5]* https://oeffentlicher-dienst.info/c/t/rechner/tv-l/allg?id=tv-l&g=E_13&s=1&zv=VBL&z=75&zulage=&stkl=1&r=&zkf=&kk=15.5%25 [6] https://nlpado.de/~sebastian/ [7]* https://oeffentlicher-dienst.info/c/t/rechner/tv-l/allg?id=tv-l&g=E_13&s=1&zv=VBL&z=100&zulage=&stkl=1&r=0&zkf=&kk=15.5%25 * values are approximations which may vary depending on previous work experience.
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