Research assistant for the project ''AI for Process Compliance'' in the Department of Mathematics, Computer Science, and Engineering

Are you willing to advance an innovative project and actively shape research? Then we are looking for you scientific staff*in for the project “KI for process conformity” in the field of mathematics, computer science, technology Location Remagen | Full-time | from 01.07.2026 | limited until 30.06.2028 | to pay group 13 TV-L The University of Applied Sciences Koblenz (www.hs-koblenz.de) with its locations in Koblenz, Remagen and Höhr-Grenzhausen offers teaching, training and applied research with an extensive presence and range of studies. The research project is located in the field of process mining and aims at developing new approaches to the conformity assessment of processes. The focus is on the design and implementation of a process alignment term based on a non-local cost assessment. In the project, you will develop the theoretical foundations, implement these algorithmically and evaluate the resulting processes in cooperation with practical partners on real data. The project is funded by the Carl Zeiss Foundation. There is also the possibility to pursue an independent PhD in the research project.

Conception of an algorithmic method for calculating process deviations with non-local cost function Implementation and evaluation of a search algorithm to calculate the deviation costs as proof-of-concept Training of Transformer models to calculate the deviation costs and evaluation Use of optimization methods (e.g. ILP-Solvern) to calculate the deviation costs and evaluation Application and evaluation on real data sets Planning, preparation and implementation of the project tasks including the administrative project activities Processing and further development of the project through independent research activities Communication and presentation of results in the form of scientific publications and lectures

completed academic studies (master or comparable) in the field of computer science, mathematics, artificial intelligence or a comparable degree course with a mathematical or informatic focus sound knowledge in the fields of data analysis, machine learning and artificial intelligence Programming skills in C/C++, Python, Java or comparable Interest in the Research Area of Process Minings good oral and written language skills in English and German Knowledge in the field of Process Mining (in particular Conformance Checking, Petri Networks) desirable Experience with optimization methods (e.g. ILP-Solver) and/or ML libraries (e.g. HuggingFace, PyTorch)

30 days holiday per year flexible working hours without core times Further education Good transport personal onboarding concept and personal development Offer Cafeteria and Mensa Annual special payment, asset-effective performance and occupational pensions Safe and modern workplace Mobile work numerous offers for family and health We advocate diversity, equal opportunities and reconciliation of work and family life. We are particularly pleased with women's applications. People with a serious obstacle are preferably set with the same suitability. .