Research assistant as part of a doctoral program

Are you ready to contribute your expertise to research and teaching while also advancing your own professional development? Then we are looking for you as a

**Research assistant as part of a doctoral program**
**for the project „Explainable AI for the molecular bases of disease progression“**

**Department of Mathematics, Computer Science and Technology | Campus Remagen | Full-time (39 hours/week) | immediate start | limited until 31.08.2030 |** [**Pay grade 13 TV-L**](https://www.lff.rlp.de/fileadmin/user_upload/LFF/PDF/service/gehaltstabellen/TV-L/2026_04_01_Arbeitnehmer.pdf)

The Koblenz University of Applied Sciences ([www.hs-koblenz.de](https://www.hs-koblenz.de/home)) with its locations in Koblenz, Remagen and Höhr-Grenzhausen offers teaching, continuing education and applied research with an extensive range of face-to-face and distance learning courses.

***Your tasks:***

• independent work on the above-mentioned research project in the field of “Artificial Intelligence in Bioinformatics”
• own academic qualifications obtained through a PhD in the subject area mentioned above
• close collaboration with interdisciplinary partners from the fields of medicine, biology and bioinformatics
• Data pre-processing, quality control, normalization and feature engineering for multi-omic datasets
• Design and application of novel methods for explainable artificial intelligence
• biological and clinical interpretation of the model results
• Participation in doctoral colloquia and the preparation of progress reports
• Writing academic publications
• Design and implementation of courses in the fields of mathematics, programming, machine learning, deep learning, genomics or epigenomics
• Co-supervision of student/research assistants

***Your profile:***

• completed university degree (Master or comparable) in the field of bioinformatics, computer science, data science, computational biology, biology, physics, mathematics or a related field
• Expertise in the field of artificial intelligence
• very good programming skills in C, C++, Python or R
• Sound knowledge of machine learning or deep learning
• Interest in interdisciplinary research at the interface of AI, biology and medicine
• excellent written and spoken English (minimum C1 level)
• good written and spoken German would be an advantage
• independent, structured and solution-oriented way of working, as well as strong teamwork and communication skills

***Your Benefits:***

• 30 days of annual leave
• flexible working hours with no core working hours
• Professional development opportunities
• good transport links
• personalized onboarding concept and employee development
• cafeteria and canteen options
• Annual special paymant, capital-forming benefits and occupational retirement provision
• Safe and modern workplace
• Remote working
• Wide range of family and health benefits

We are committed to **diversity, equal opportunities and the compatibility of work and family**. We particularly welcome **applications from women**. **People with severe disabilities** will be given priority if they are equally qualified.

Have we sparked your interest? If so, please submit your CV and relevant certificates via our [online application portal](https://jobs.hs-koblenz.de/datenabfrage/FB_MIT_Promotion_Projekt_EAftmbodp) **by September 13, 2026**. If you have any questions regarding the role, please contact Prof. Dr. Assenov (assenov@hs-koblenz.de). Further information about Koblenz University of Applied Sciences as an employer can be found [here](https://www.hs-koblenz.de/hochschule/karriere-personal).