The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The University was founded in 2003 and counts more than 6,700 students and more than 2,000 employees from around the world. The University’s faculties and interdisciplinary centres focus on research in the areas of Computer Science and ICT Security, Materials Science, European and International Law, Finance and Financial Innovation, Education, Contemporary and Digital History. In addition, the University focuses on cross-disciplinary research in the areas of Data Modelling and Simulation as well as Health and System Biomedicine. Times Higher Education ranks the University of Luxembourg #3 worldwide for its “international outlook,” #20 in the Young University Ranking 2021 and among the top 250 universities worldwide.
The Faculty of Science, Technology and Medicine (FSTM) contributes multidisciplinary expertise in the fields of ;Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens, in order to better understand, explain and advance society and environment we live in.
The Doctoral Training Unit D4H (Deep Data Science of Digital History) is funded through the FNR’s PRIDE programme. D4H has been launched in autumn 2022; it includes a total of 18 PhD positions and 2 PostDoc positions. This interdisciplinary DTU focuses on multiple challenges at the intersection between the disciplines of history and data science and builds on the epistemological and methodological learnings of the interdisciplinary DTU 'Digital History and Hermeneutics'. For more information see https://dhh.uni.lu/d4h/ D4H involves the University of Luxembourg’s Centre for Contemporary and Digital History (C2DH), the Faculty of Science, Technology and Medicine (FSTM), the Institute of History (IHIST) of the Faculty of Humanities, Education and Social Sciences (FHSE), the Luxembourg Institute of Science and Technology (LIST) and the Luxembourg Institute of Socio-Economic Research (LISER).
We are looking for…
We are looking for a candidate who enjoys interdisciplinary work within the Doctoral Training Unit 'Deep Data Science of Digital History' (D4H) under the guidance of Prof. van der Torre and Prof. Christoph Schommer. The selected candidate will contribute to research in the areas of the Doctoral Training Unit, in particular in the areas of deep learning systems, explainability, and natural language processing (e.g. transformer models for natural language processing, generation and understanding).
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