PhD Student - Department of Economics

PhD Student - Department of Economics

Belgium 31 Aug 2021
Ghent University

Ghent University

State University, Browse similar opportunities

OPPORTUNITY DETAILS

State University
Area
Host Country
Deadline
31 Aug 2021
Study level
Opportunity type
PhD
Specialities
Opportunity funding
Full funding
Eligible Countries
This opportunity is destined for all countries
Eligible Region
All Regions

Last application date Aug 31, 2021 00:00

Department EB21 - Department of Economics

Contract Limited duration

Degree Master's degree in statistics, mathematics, or computer engineering

Occupancy rate 100%

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 https://www.rislab.net/ and https://www.ferdinandvieider.com/ 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 (ferdinand.vieider@ugent.be) 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 ferdinand.vieider@ugent.be.

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

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