PhD Researcher in Labour Economics

  • Eidgenossische Technische Hochschule Zürich
  • Zürich, Switzerland
  • 28/05/2019
Full time Data Science Machine Learning Data Analytics Big Data Statistics

Job Description

The central task of this position is to conduct academic research on labour market phenomena with a focus on the Swiss labour market. The successful candidate also helps to build up the new research division and participates in the forecasting and monitoring activities of the institute. We offer the opportunity to work in a dynamic and collaborative research environment.

We are looking for an outstanding researcher who is interested in pursuing a PhD in labour economics. You should have the potential to conduct high-quality research and have a clear interest in labour markets and in the Swiss economy. Rigorous statistics training in causal inference and/or machine learning, and a strong command of Stata, R, and/or Python are desired. An excellent command of German and English is required; good knowledge of French is an asset. The starting date of this position is subject to negotiation. Gross salary will be in accordance with the regulations of ETH Zurich.

We look forward to receiving your online application including the following documents: a motivation letter with a short description of your research interests, a curriculum vitae, a writing sample (e.g. Bachelor or Master thesis), a complete academic transcript with undergraduate and graduate courses, copies of diplomas/certificates and contact information for 2-3 potential referees. Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered. Unless a job offer is rejected, candidates who are invited for an interview will be reimbursed for travel expenses.

For further information about KOF Swiss Economic Institute, please visit our website: Questions regarding the position should be directed to Katharina Bloch by email to (no applications) or phone +41 44 6324238.