Current Job Offer for a W2 Professorship in Mathematical Foundations of Trustful Learning
We are looking for a researcher with fundamental theoretical and practical experience and the abilities to successfully represent this field in research and teaching. The successful candidate is a personality from the computer science, mathematics or related fields with a developed research profile, practical experience and proven experience in at least two of the following areas:
- interpretable and explainable AI
- adversarial attacks
- differential privacy
- homomorphic encryption
- privacy preserving learning
- model uncertainty (prediction calibration, conformal prediction)
- fairness and algorithmic bias
We additionally expect substantial knowledge in the foundations of artificial intelligence, data mining and machine learning. The successful candidate is willing to significantly participate in establishing the competence centre “CAIRO” and its inclusion in the cross-faculty research institute Digital Engineering (IDEE) and to drive new study study offers of THWS in artificial intelligence. A higher research load is assigned to this position; thus, initially for the first five years, the teaching load is halved (which thus amounts to nine weekly hours per semester) so that application-focussed research and development projects can be initiated and executed. A target agreement will be concluded. Teaching responsibilities are to be held in the field of artificial intelligence in particular. We also expect the participant to be willing to hold lectures in fundamental areas of computer science and related areas, if necessary also in other faculties. Lectures must be held in English. We expect that related courses can soon also be held in German.
Position is to be filled as soon as possible, your place of employment will be our location in Würzburg.
Deadline: 12 March 2023.
For more information on the position and the required prerequisites, see Career.