This position is a part-time student assistant role within the Econometrics and Data Science research group at the Department of Economics, University of Southern Denmark (SDU). The role involves close collaboration with researchers and focuses on tasks such as data processing, estimation, literature reviews, and model development. Candidates should be enrolled as master's students in the cand.scient.oecon. program at SDU, ensuring a strong foundation in economic theory, econometrics, and quantitative methods. Relevant academic coursework and any prior experience in data analysis or economic research will be advantageous. The position requires proficiency in handling economic data, applying statistical and econometric models, and conducting thorough literature studies to support research activities. Flexibility in working hours (approximately 8 hours per week) and the ability to work effectively in a research team environment are important. The role demands attention to detail, analytical thinking, and familiarity with research methodologies typical for advanced economic studies. While specific software skills are not explicitly stated, experience with statistical software or programming languages commonly used in econometrics and data science (such as R, Stata, Python, or MATLAB) would be beneficial. The employment terms follow the collective agreement between the Danish Ministry of Finance and the Student Teachers' Association, emphasizing formal adherence to institutional standards. Overall, this opportunity suits a motivated economics graduate student seeking practical research experience in econometrics and data science within an academic setting.