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Research Assistant in Bayesian Statistics applied to Decision Making/Behavioural Economics/Development Economics

Project Description

The Economics Department at Ghent University (Belgium) has an open position for a research assistant applying Bayesian statistical methods to research questions at the intersection of decision making, behavioural economics, and development economics. The position entails applying Bayesian hierarchical models to the analysis of field 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 research assistant is encouraged to stay on for a 4 year PhD project under the supervision of Prof. Ferdinand Vieider.

Candidates should hold a master degree in statistics or mathematics, be familiar with Bayesian hierarchical modelling, and should have an interest in applying these methods to questions in economics and decision making. They should belong to the top 10% of their class. Candidates with a master degree in economics or psychology will also be considered if they can show a strong quantitative background and 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.

Applications should be sent as one pdf-document to Prof. Ferdinand Vieider () with reference “Research Assistant in Bayesian Statistics”, and should include a cover letter, CV, details of the master courses taken (including grades) and, if available, some examples of research work (e.g., a master thesis).

Two reference letters should be sent directly by the advisors 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.

Funding Notes

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. It is initially funded for one year. Upon successful evaluation, the candidate will be encouraged to move on to a full PhD program.

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