Research Assistant

Research Assistant (m/w/d), EG 13 TV-H, fixed term-position, full-time (currently 40 hours per week) **Application deadline**: 18.11.2025 **Date of hire**: 01.01.2026 **vacancy number**: 38842 As part of the new research project "IntelliEMEs", an intelligent Energy Management System (EMS) is being developed for multimodal building energy systems with a high share of renewable energy sources. The EMS is intended to efficiently coordinate generation, consumption, and storage while accounting for uncertainties in energy production and use. Modern methods from automatic control, artificial intelligence, and stochastic optimization will be employed to ensure safe and efficient operation. The developed approaches will be validated both in simulations and in a real-world pilot installation. To carry out this project, we are seeking dedicated and motivated researchers. **Tasks**: - Research activities within the above-mentioned project, focusing on energy management for sector-coupled energy systems. - Developing and implementing methods for automatic model identification, state observation and fault detection, as well as adaptive reconfiguration of energy management systems. - Defining and pursuing an independent research focus within the project's thematic scope. - Building and using research infrastructure (e.g., simulation servers, lab experiments, digital twins). - Contributing to academic activities within the department and assisting in the supervision of students. - Preparing scientific publications and presenting research results at conferences. **Required qualifications**: - University degree (Diploma, Master) with good or very good grades in Electrical Engineering, Information Technology, Mechanical Engineering, Technical Cybernetics, Applied Mathematics, or a comparable field. The required degree must be completed by the start of employment. - Solid knowledge of systems theory and automatic control, for example in multivariable control, observer design, or system identification. - Careful, independent, and team-oriented working style. - Ability and motivation for interdisciplinary collaboration. - Very good verbal and written communication skills in English. - Good verbal and written communication skills in German, or a willingness to learn German. **Further desirable qualifications**: - Knowledge of model predictive control (MPC) and numerical optimization. - Knowledge in the field of artificial intelligence. - Experience in modeling and identification of dynamic systems. - Experience in observer design, sensor fusion, and fault detection. - Familiarity with energy systems with a high share of renewable energy. - Skills in visualization of probabilistic information. - A high level of organizational skills. For further information please contact Prof. Dr.Ing. Christian A. Hans, Tel.: +49 561 804-6112. **Our Offer**: As an employee of the University of Kassel - you will be offered an interesting and diverse range of tasks within the framework of a modern and ambitious university, - you will be part of an interdisciplinary team with a good and collegial working atmosphere, - you will have the opportunity to participate in professional and interdisciplinary further education measures, - is your workplace with good connections to public transport, which you can currently use free of charge. In addition, you will benefit from the advantages of employment in the public service such as: - an additional company pension (VBL), - an optional child supplement in accordance with TV-Hessen, a family-friendly university (including childcare for emergencies), - an annual bonus - an entitlement to capital-accumulation benefits, - a promotion of voluntary commitment, - low-cost participation in university sports and a full range of fitness activities as part of Unifit, as well as workplace health management You can find more jobs at stellen.uni-kassel.de FAQ bewerbungen[at]uni-kassel.de The University of Kassel is very interested in the professional satisfaction of its employees. It is distinguished as a family-friendly university and, in the interests of equal opportunities, strives to offer everyone the same opportunities for development and to counteract existing disadvantages. It promotes the Family Welcome Service and also the Dual Career Service for positions that are scientifically and academically filled. One of the strategic goals of the University of Kassel is to significantly increase the proportion of women in research and teaching. Applications from women are therefore particularly welcome. Seriously handicapped and equivalent applicants are given preference if they have the same suitability, qualifications and professional performance. Full-time positions are generally divisible (except when filling civil servant positions). Applications indicating the Position Number, which may be in digital form, should be sent to the President of the University of Kassel, 34109 Kassel, Germany quoting the appli