The Faculty of Electrical Engineering and Computer Science at the Leibniz University of Hannover, Germany, invites applications for a Assistant Professorship for Deep Learning (Salary Scale W1 NBesO) to be filled as of March 1, 2022. The position is limited to three years, with an extension option for further three years. The future position holder should represent the field of Deep Learning in research and teaching. He/she is to advance the relevant state of the art in the areas of deep learning (especially in the area of speech and text, but also images and other data), and should drive innovations based on these methods in areas like information retrieval, question answering and conversational interfaces. The assistant professorship is embedded in the faculty focus "Robotics and Intelligent Systems" as well as in the L3S Research Center with its focus on "Intelligent, Reliable and Responsible Systems". Active collaboration in teaching activities and acquisition of third-party funded projects is expected, group leadership in the Research Center is possible and desired. An excellent PhD on current topics in the context of information retrieval, machine learning and deep learning as well as relevant excellent publications in this area are prerequisites for the appointment. International collaborations and project experience are an advantage. The successful candidate will be expected to hold selected courses in English. General responsibilities and conditions of appointment apply, in accordance with the Lower Saxony Higher Education Act (Niedersaechsisches Hochschulgesetz - NHG). Details will be provided upon request. Part-time employment can be arranged upon request. As an equal opportunities employer, Leibniz University Hannover has set itself the strategic aim of significantly increasing the proportion of women. Female scientists are therefore particularly encouraged to apply. Applications from abroad are especially welcome. Preference will be given to equally qualified candidates with disabilities. For further information, please contact Wolfgang Nejdl (nejdl@kbs.uni-hannover.de). Please apply by September 30, 2021 exclusively via the central appointment portal of Leibniz Universitaet Hannover at: https://berufungen.uni-hannover.de Information pursuant to Article 13 DSGVO on the collection of personal data can be found at https://www.uni-hannover.de/de/datenschutzhinweis-bewerbungen/.
W1-Professur Deep Learning @ Leibniz Universität Hannover & L3S
Nosūtīja Ute Schmid —
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