PhD Student

Last application date
Aug 31, 2021 00:00
EB21 - Department of Economics
Limited duration
Master's degree in statistics, mathematics, or computer engineering
Occupancy rate
Vacancy type
Research staff

Job description

The position entails applying Bayesian statistical techniques to develop models of decision making, and to the analysis of field and laboratory data on decision making, oftentimes in developing country settings (see and for examples of past and current projects). The position is initially offered for one year. Upon positive evaluation, the position is renewed for 3 additional years. During these four years, the candidate will complete a PhD project under the supervision of Prof. Ferdinand Vieider. The position comes with a monthly scholarship of approximately €2.070 (net), social security (health insurance and pension contributions), end-of-year and holiday bonus, travel and computer equipment resources, and other benefits.

Job profile

Candidates should hold a master degree in statistics, mathematics, or computer engineering. A two-year research master is an asset. They should be familiar with Bayesian (hierarchical) modelling, and should have an interest in applying these methods to questions in economics and decision making. The master’s degree should be recent (graduated no more than 2 years ago), and obtained from a European University (in exceptional cases degrees from non-European universities supplemented by a GRE test may be acceptable). They should belong to the top 10% of their class, and be able to show this by presenting comparative rankings, or where such rankings cannot be obtained, by an exceptional grade point average. Candidates with a master degree in economics or psychology may be considered if they can show a strong quantitative background and advanced knowledge of Bayesian statistics. Familiarity with software packages R and Stan are highly desirable. Familiarity with cloud computing and working with server clusters are an asset. The position is research focused. The working language is English.

How to apply

Applications should be sent as one pdf-document to Prof. Ferdinand Vieider ( with reference “PhD student in Bayesian Statistics”, and should include a cover letter, CV, details of the master courses taken (including transcripts, grades, and ideally comparative rankings). If available, some examples of research work can also be included (e.g., a master thesis).

Reference letters are not required at the initial stage of the application, but candidates should indicate two letter-writers who can be contacted in case they get selected for an interview. If you do already wish to provide reference letters, these should be sent directly to .

For more information, contact Prof. Ferdinand Vieider at Applications will be considered as they arrive, and until the position is filled. The starting date is flexible and subject to discussion.