University assistant predoctoral (all genders welcome) (in German: Universitätsassistent:in)
This position serves the purposes of the vocational and scientific education of graduates of diploma or master’s degree programmes and sets the goal of completing a corresponding doctoral degree according to the allocation of the position to either the Department of Economics or the Department of Networked and Embedded Systems. Applications by individuals who have already completed a subject-specific doctoral degree or a subject-relevant Ph D programme therefore cannot be considered.
The position is funded through the university’s Ada Lovelace Programme, which aims at fostering interdisciplinary research at the university. The successful candidate will therefore be jointly supervised by two academic professors, one from the field of computer engineering and one from the field of economics, and will be affiliated with one of the two departments.
The successful candidate will work within the project “A Machine Learning Approach to Smart Electricity Load Management: From Disaggregation to Policy Impact Evaluation”. This project covers both technical aspects (development/implementation of statistical and machine learning methods, algorithm design and implementation) as well as economic impact analysis (using i.a. modern micro-econometric techniques). Further information on the research project is available upon request.
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