Doctoral Student Positions (TV-L 13)

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 Smart Cities, Energy, Mobility, Retail, Supply Chain and Operations Management, Marketing and Healthcare. The D³ Group currently consists of 20 researchers, has a strong international focus and is affiliated with the newly created cross-faculty Center for Artificial Intelligence and Data Science (CAIDAS) of our university.

As part of the D³ Group, the Chair for Enterprise Artificial Intelligence (Prof. Gust) offers positions for

Doctoral Students

in the area

“AI for Smart Cities and Industries, Energy and Mobility”

Topic: Industry and the public sector are particularly struggling with the use of novel techniques from the areas of artificial intelligence and data science. The research field Smart Cities and Industries focuses on advancing the digital transformation of industry and the public sector. This includes introducing data-driven techniques in companies, as well as improving management and operations of urban infrastructures, particularly energy and mobility systems. Methodologically, the research builds on concepts from the areas of artificial intelligence, operations research and information system design. The overarching mission is to develop solutions that enhance business performance, reduce ecological impact, and ensure equitable access to essential resources and services. In our work, we combine concepts from machine learning, statistical learning theory, and mathematical optimization to balance both the theoretical validity of our algorithms and their applicability to real-word problems. We collaborate with various companies and utilize their extensive data sets to test and validate our approaches.

Candidates: We are seeking motivated and highly skilled individuals to support our research efforts in this novel and very innovative area. Candidates should have a strong analytical background, preferably in Data Science, Machine Learning, Optimization, and/or other areas related to our topics.

Environment: We offer a very attractive and flexible work and research environment: You will be part of an ambitious team with entrepreneurial spirit that comprises young and motivated researchers with different academic backgrounds (e.g., mathematics, economics, data science, engineering). You will receive excellent support and supervision; you will develop research results and publications in leading scientific journals that count toward your doctoral dissertation, and you will have the opportunity to attend international summer/winter schools, partake in international conferences, and spend time at other international institutions with which we collaborate. Ideally, you will complete your dissertation in not more than three years.

Salary: We offer an attractive remuneration according to the German TV-L System (E13 if prerequisites are met).

Application: Interested candidates should apply to gunther.gust@uni-wuerzburg.de, including the usual documents (cover letter, CV, transcripts). Do not hesitate to contact us in case you have any questions.

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.