Postdoctoral Researcher - Econometrics & Causal Inference

Make it in the North; Groningen; Hybrid; EUR 42,000 - 60,000; Full time

Job summary

The position is a three-year postdoctoral position in the Department of Economics, Econometrics and Finance, funded by the Dutch Research Council (NWO) project Evaluation of Policy Interventions on Societal Inequality. You are expected to have a PhD in economics or related quantitative fields, with a strong background in econometrics and causal inference, and an interest in methodological econometric research.

Experience with machine-learning methods and strong programming skills are essential.

Qualifications

• PhD in economics, econometrics, statistics, or a related quantitative field.
• Strong background in econometrics and causal inference.
• Interest in methodological econometric research with publications in the field.
• Experience with, or strong interest in, machine-learning methods.
• Strong programming skills.
• Good communication and presentation skills; ability to work in an international research team.

Responsibilities

• Develop and apply new econometric methods to evaluate distributional effects of policy interventions.
• Work with distribution regression and difference-in-differences methods.
• Incorporate machine-learning approaches with valid statistical inference.
• Collaborate with Prof. Aico van Vuuren, Prof. Gerard J. van den Berg and international team.
• Contribute to research on socioeconomic inequalities, including health over the life course.

Skills

Econometrics

Causal inference

Programming

Machine learning

Communication skills

International collaboration

Education

PhD in economics or related quantitative field

Job description

The position is a three-year postdoctoral position in the Department of Economics, Econometrics and Finance, funded by the Dutch Research Council (NWO) project Evaluation of Policy Interventions on Societal Inequality. You are expected to have a PhD in economics or related quantitative fields, with a strong background in econometrics and causal inference, and an interest in methodological econometric research.

Experience with machine-learning methods and strong programming skills are essential.