Research Associate in Mathematics for Business and Economics

University of Zurich Department of Business Administration

Department of Business Administration
Chair of Mathematics for Business and Economics

Research Associate (Postdoc)
80 %

The Chair of Mathematics for Business and Economics focuses on the mathematical solution of business problems. We model and optimize stochastic dynamic systems, in particular via Markov decision processes and approximate dynamic programming. Our applications are in the field of operations management and revenue management in particular. We teach mathematics and optimization at the Bachelor and Master level.

Your responsibilities

  • Developing, managing and publishing research projects within the field of approximate dynamic programming or revenue management
  • Teaching of one math or optimization class per year
  • Supervision of Bachelor or Master theses

Your profile

  • Candidates should have a strong background in Mathematics and a PhD in Operations Research, Operations Management, Industrial Engineering, Mathematics or a related field
  • Solid knowledge of mathematical optimization techniques
  • Good knowledge in at least one higher programming language ( e.g. Matlab, AMPL)
  • Strong motivation for scientific research and teaching
  • Good organizational and communication skills
  • Successful candidates are reliable team players
  • Advanced English language skills are required

What we offer

  • The opportunity to work on projects in the area of revenue management or approximate dynamic programming and to present your work at international conferences
  • Interesting work as part of a dynamic team in a friendly working environment
  • The possibility to interact with internationally renowned scientists
  • An appropriate salary in accordance with the salary guidelines/scale of the canton of Zurich

Place of work

Plattenstrasse 14, 8032 Z├╝rich

Start of employment

December 1st 2021 or earlier by arrangement. Applications should include a motivation letter, a CV, academic transcript and a certificate of the master degree and the PhD degree. The documents should be sent in a single PDF.

Further information

Prof. Dr. Christiane Barz

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