The group is currently expanding and seeking motivated and highly skilled individuals to become part of our ambitious team. We offer up to
5 Doctoral Student Positions
starting September 2022 or later. The remuneration will be according to TV-L E13 (if prerequisites are met).
Our research builds on methods in Data Science and Machine Learning (Deep Learning, Reinforcement Learning), Operations Research (Optimization), and Statistics. It is innovative and challenging from a theoretical viewpoint and, at the same time, very relevant to practice - we work with leading industry partners on several exciting projects.
The D3 group currently consists of 15 researchers and is composed of the chairs for
§ Information Systems and Business Analytics (Prof. Dr. Flath),
§ Information Systems Engineering (Prof. Dr. Thiesse),
§ Logistics and Quantitative Methods (Prof. Dr. Pibernik), and
§ Process and IT Integration for AI in Organizations (Prof. Dr. Gust).
Additionally, the group is affiliated with the newly created cross-faculty Center for Artificial Intelligence and Data Science (CAIDAS) and has a strong international focus.
Our job offering is not focused on specific academic disciplines. Currently, our team members have very diverse skill sets and backgrounds, such as Computer Science, Management, Mathematics, and Engineering. Candidates should be eager to solve analytical tasks and should ideally have at least intermediate programming skills (e.g., in Python or R).
You will actively participate in the research of our group, including projects with partners from academia and industry. Most importantly, you will contribute to publications in scientific journals and thereby work on your doctoral dissertation (ideally, within a three-year period). We also expect you to support some of our teaching activities.
The D3 Group offers a highly flexible working environment within an ambitious team with entrepreneurial spirit. We encourage doctoral students to visit leading international research institutions during their dissertation. The group is based in the city of Würzburg with its lovely culture and countryside.
Interested candidates should apply to d3@uni-wuerzburg.de, including all usual documents (cover letter, CV, certificates of recent grades etc.). Questions can be directed to the same email address or to the professors heading the D3 group. Please also consult the websites of the chairs for additional information on our research.
The University of Würzburg is an equal opportunity employer. As such, we explicitly encourage applications from qualified women. Handicapped applicants will be given preferential consideration when equally qualified.
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