Thesis ProjectsCopyright: Fabian Erler
We are continuous looking for students interested in doing a thesis project in the PADS group. We are eager to supervise both Bachelor and Master Thesis projects. However, given the many requests, we need to be selective and align such projects to our expertise and research goals. Therefore, we require people to have a data-science mindset and an interest in processes and dynamic behavior. Most of the thesis projects are in the field of process mining. Therefore, we require potential students to show that they have an understanding of the existing field. Having process mining knowledge, e.g., obtained in the Business Process Intelligence (BPI) course at RWTH running in the second semester (SS) or the Coursera MOOC on Process Mining, is desirable. This makes it easier to discuss possible thesis projects in areas such as process discovery, conformance checking, performance analysis, predictive process analytics, automated process improvement, responsible process mining, etc. If you can still elect your courses, we also recommend the master courses Introduction to Data Science (WS) and Advanced Process Mining (SS). Also, check out the Seminars and practical assignments running every semester.
If you are interested (taking note of the above), please fill out the thesis inquiry form and send it with a short motivation, your CV, and grades to Dr. Seran Uysal email@example.com‐aachen.de. She is managing thesis applications for the PADS group. She will ask additional questions and check whether there is a good match possible with one of the open assignments (there are many). Note that the chair also has many possibilities for HiWi jobs related to process mining (either within Fraunhofer FIT or RWTH). However, this is reserved for excellent students that have acquired a background in process mining and that want to continue a career in process mining (in industry or academia). We discourage people to apply for HiWi jobs without being able to show relevant experience. HiWi opportunities typically follow (or run in parallel) with a thesis project or excellent performance in one of our courses.