Job Description
You recently obtained your master’s degree (or you are about to graduate in 2026) in Business Engineering, Econometrics, Statistics, Mathematics, Actuarial Sciences, Computer Science, Civil Engineering, or Industrial Engineering or a similar degree with an equivalent academic level.You have a strong quantitative background and an interest in data-driven research. Prior knowledge of causal machine learning, econometrics, or related machine learning methods is considered an asset, but motivation to develop expertise in these areas is essential.Excellent results in prior studies are required (cum laude — distinction, or higher).Experience with programming languages (such as Python, MATLAB, or R) is an asset.You can conduct independent research (demonstrated, e.g., by an excellent Master’s thesis) as well as collaborate well in teams.You have excellent command of spoken and written English and are equipped with good communication skills.