Department of Business Administration PhD Student (Research Assistant) 60% 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. 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. The PhD student 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 The start of the position is by arrangement and as soon as possible. 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 to operations@business.uzh.ch before August 1st, 2023. Please note that the applications will be reviewed on a rolling basis until the position is filled. Further information Rahel Giger Apply now If you apply for this position please say you saw it on Interdisciplinoxy

Department of Business Administration

PhD Student (Research Assistant)
60%

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.

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.
The PhD student 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

The start of the position is by arrangement and as soon as possible. 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 to operations@business.uzh.ch before August 1st, 2023. Please note that the applications will be reviewed on a rolling basis until the position is filled.