[DMANET] Multiple Doctoral Positions in AI/Data Science & Management

The Data Driven Decisions (D3) Group at the University of Würzburg is dedicated to the development and application of new methods that exploit large amounts of empirical data to arrive at better decisions in various fields of management, e.g., in Retail, Supply Chain and Operations Management, Healthcare, Smart Cities, Energy and Mobility.

Our research builds on methods in Data Science and Machine Learning (Deep Learning, Rein-forcement Learning), Operations Research (Optimization), and Statistics. It is innovative and chal-lenging from a theoretical viewpoint and, at the same time, very relevant to practice — we work with leading industry partners on a number of exciting projects.

We offer

MULTIPLE DOCTORAL STUDENT POSITIONS (TV-L 13)

starting March 2024 or later.

In accordance with your interests and skills, you can conduct your dissertation in one of the following research projects / areas:

* AI for Regional Value Chains
* AI-based Management of Personalized Energy Services
* Big Data Supply Chain Analytics for Multi-Channel Retailers
* AI-based Operations & Supply Chain Management
* Managing Customer Relationships & Services with AI
* Integration of AI with Information Systems and the Cloud
* Your own topic / initiative (within the methodological scope of the D3 research)

Our job offering is not focused on specific academic disciplines. Our team members have very diverse backgrounds, such as Computer Science, Management, Mathematics, and Engineering.

Please consult the complete job offering, which can be found at https://www.wiwi.uni-wuerzburg.de/wiki/.

Interested candidates should apply to d3@uni-wuerzburg.de<mailto:d3@uni-wuerzburg.de>, including all usual documents (cover letter, CV, certificates of recent grades etc.).


Prof. Dr. Gunther Gust
Lehrstuhl für Prozess- und IT-Integration für KI im Unternehmen
Center for Artificial Intelligence and Data Science (CAIDAS) &
Wirtschaftswissenschaftliche Fakultät
Julius-Maximilians-Universität Würzburg
Room 116 (EG), Sanderring 2, D-97070 Würzburg
T +49 931 31-83159 (Sekretariat)
E gunther.gust@uni-wuerzburg.de<mailto:gunther.gust@uni-wuerzburg.de>
H https://www.wiwi.uni-wuerzburg.de/wiki
H https://www.uni-wuerzburg.de/caidas

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