Norbert Trautmann
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PhD Student and Assistant in Business Administration (Operations Research) at the University of Bern University of Bern in Switzerland
Degree Level
PhD
Field of study
Computer Science
Funding
100% temporary employment as a doctoral and assistant position; the post is a paid job-like academic position, but no stipend, tuition coverage, or salary amount is stated.
Country
Switzerland
University
University of Bern

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About this position
The University of Bern is advertising a PhD student and assistant position in Business Administration at the Chair of Quantitative Methods in Business Administration, with a specialization in Operations Research. The research topic focuses on developing Operations Research methods for resource planning in project management.
This is a 100% temporary position based in Bern, Switzerland. The role combines doctoral research with teaching and academic service: the successful candidate will conduct innovative research leading to a dissertation, participate in teaching at the Bachelor's and Master's levels, and supervise theses.
Applicants should have an excellent university or ETH/TU degree in business administration or business mathematics with a focus on operations research. The post also asks for strong analytical thinking, enjoyment of scientific work and academic teaching, and very good language skills in German (C2) and English. Knowledge of Python and optimization software such as Gurobi or CPLEX is advantageous.
Applications should be sent electronically to Prof. Dr. Norbert Trautmann at [email protected]. The vacancy page includes an application portal link. No deadline is stated in the post.
Funding details
100% temporary employment as a doctoral and assistant position; the post is a paid job-like academic position, but no stipend, tuition coverage, or salary amount is stated.
What's required
Excellent university or ETH/TU degree in business administration or business mathematics with a focus on operations research; strong analytical thinking and interest in scientific work and academic teaching; German language skills at C2 level and very good English skills; advantageous to have knowledge of a programming language such as Python and optimization software such as Gurobi or CPLEX.
How to apply
Send your application documents electronically to Prof. Dr. Norbert Trautmann by email. Use the application link on the vacancy page if submitting through the portal.
More information can be found here
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