About this role
Research Assistant (Doctoral student) The University of Wuppertal is a dynamic and research-oriented campus university. In accordance with its mission statement ‘Understanding, communicating, shaping’; it faces the social challenges of science, education, culture, economics, society, technology, and the environment. The university is an active member of networks in the region as well as in national and international cooperations. About 24,500 people study, research, or work at 9 schools, research institutions or in university administration. The School of Mathematics and Natural Sciences, Professorship for Software in Data-intensive Applications, invites applications. RESPONSIBILITIES AND DUTIES - Interdisciplinary work at the interface of computer science and mathematics with applications in the context of molecular machine learning, within the thematic scope of the project “Multi-fidelity, active learning strategies for exciton transfer in cryptophyte antenna complexes” of the DFG Priority Programme “Molecular Machine Learning” - Development of novel machine learning methods for modeling molecular properties, in particular regression models for bi-molecular properties. - Collaboration in an international team working on related research questions in machine learning, uncertainty quantification, and high-performance computing with applications in the natural and engineering sciences. - Teaching responsibilities (equivalent to 4 contact hours per week) and supervision of student research and thesis projects PROFESSIONAL AND PERSONAL REQUIREMENTS - Completed academic university degree (Master’s or equivalent) in a relevant discipline (e.g., computer science, mathematics, physics, data science) - Strong analytical skills in the context of machine learning and/or (numerical) mathematics - Excellent knowledge of a programming language (preferably Python or C/C++) - Interest in developing novel bivariate methods in machine learning for molecular property prediction within a relevant interdisciplinary application - Ideally, experience with multipole methods, low-rank or tensor approximations - Good command of English (working language within the team, international collaboration) - A competent, proactive personality with commitment and motivation - Ability to work independently and enjoyment of teaching - Successful completion of a scientific programming task within the thematic context of the advertised position. Full details on the programming task can be found at [Website-Link gelöscht] This is a qualification position in the sense of the Academic Fixed-Term Contract Act (WissZeitVG), which serves to support a doctoral programme. The position is temporary for the duration of the doctoral process, but initially up to 3 years. An extension for the completion of the doctorate is possible within the time limits of the WissZeitVG. Start 01.10.2026 Duration up to 3 years Salary E 13 TV-L Time Full time (Part-time employment is possible, please indicate in your application whether you would also or only be interested in part-time employment.) Reference Code 26181 Contact person Mr Prof. Dr. Peter Zaspel [E-Mail Adresse gelöscht] Applications via stellenausschreibungen.uni-[Website-Link gelöscht] Application deadline 27.07.2026 The University of Wuppertal is an equal opportunity employer. Applications from persons of any gender and persons with disabilities as well as persons with an equivalent status are highly welcome. In accordance with the Gender Equality Act of North Rhine-Westphalia, women will be given preferential consideration unless there are compelling reasons in favour of an applicant who is not female. The same applies to applications from disabled persons, who will ...(Lesen Sie die vollständige Jobbeschreibung auf der Seite des Partners)