PhD Student (Research Assistant)

Department of Business Administration
PhD Student (Research Assistant)
60%
As a PhD student you will either be employed at the Chair of Quantitative Business Administration, the Chair of Mathematics for Business and Economics, or the Chair of Sustainable Operations Management.
The Chair of Quantitative Business Administration focuses on the development of quantitative methods for improved decision making. From the methodological perspective our main interests are in mathematical optimization, in particular, integer programming, combinatorial optimization, bilevel optimization and optimization under uncertainty.
The Chair of Mathematics for Business and Economics focuses on the optimization of stochastic dynamic systems, in particular via Markov decision processes using approximate dynamic programming. Applications can be from any area of operations management, but our main interests are revenue management and sports.
The Chair of Sustainable Operations Management focuses on incorporating sustainability in operational decision making, by developing methodology and theory to improve sustainability of businesses while also addressing other key aspects such as profit, service, quality, and resilience. The application areas include Circular Economy, Supply Chain Collaboration for Sustainability, and Technology Transition for Sustainability.
Your responsibilities

• Developing, managing, and publishing research projects
• (Assisting in) teaching activities
• Supervision of Bachelor or Master theses

Your profile

• Candidates should have a strong background in Operations Research, Operations Management, Optimization, Industrial Engineering, (Applied) Mathematics, or a related quantitative field.
• Candidates should have or be close to completing a master's degree in one of the fields stated above.
• Solid knowledge of optimization techniques and/or stochastic processes
• Good programming knowledge and skills
• Strong motivation for scientific research and teaching
• Good organizational and communication skills
• Reliable team players
• Advanced English language skills

What we offer

• The opportunity to work on cutting-edge research projects
• Interesting work as part of a dynamic team in a friendly working environment
• The possibility to interact with internationally renowned scientists
• A highly competitive salary in accordance with the salary guidelines/scale of the canton

of Zurich

• A generous travel budget to present your work at international conferences

Place of work
Plattenstrasse 14, Zürich, Switzerland
Start of employment
February 1st 2023, or by arrangement.
Applications should include a motivation letter, a CV, academic transcript and, if available, a certificate of the latest degree and GMAT/GRE score. The documents should be sent in a single PDF before November 30th, 2022
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