Academic Staff Member/PhD candidate (f/m/d) at the Faculty of Digital Engineering

Academic Staff Member/PhD candidate (f/m/d) at the Faculty of Digital Engineering

Job Announcement

The University of Potsdam was founded in 1991 and has firmly established itself within the scientific landscape and developed into an outstanding economic factor and growth engine for the region. The university excels in acquiring third-party funds, has received multiple teaching awards, has a very service-oriented administration, and has been honored several times for its family -friendly culture. About 20,000 students and 3,000 employees study and work at three campuses – Am Neuen Palais, Griebnitzsee and Golm – at one of Germany’s most scenic institutions of higher education.

The Faculty of Digital Engineering at the University of Potsdam invites applications for the following position in the BMBFTR-Project (embedded eHealth program) limited to four years, to be filled as soon as possible:

Academic Staff Member PhD candidate (f/m/d) ID no. 334/2026

The successful candidate will work 40 hours per week (100 %). The position is classified within remuneration group 13 of the collective wage agreement among the German federal states (“Tarifvertrag für den öffentlichen Dienst der Länder” – TV-L). The fixed term of employment is in accordance with Section 2 subsection 1 of the German Act on Fixed -Term Employment Contracts in Science and Academia (Wissenschaftszeitvertragsgesetz or WissZeitVG).

Your Field of Work:

• topic: “Predicting epilepsy with multimodal data”
• who: research team led by Henrike Heyne (lecturer at the DACS chair, Hasso Plattner In- stitute, Potsdam, Germany)
• where: Digital Engineering faculty, chair of Data Analytics and Computational Statistics, including research stays at Mount Sinai, NY, US (travel budget included)
• program: embedded in the eHealth program, BMBFTR

The Scope of Your Responsibilities:

• conduct important research in digital health leading to your PhD
• data: real world electronic health records of > 10M individuals including raw EEG and ge- netic data
• methods: disease prediction, machine learning, deep learning, genetics

Further academic qualification (doctorate) is possible. At least one- third of working hours is available for in-depth academic work.

Your Qualifications:

• Master’s degree in (bio-)informatics, life science, medicine, statistical or related field
• excellent communication skills in English
• at least some programming skills
• ability to work well independently and in a team
• commitment to transdisciplinary collaborative international research

We are also looking for the following competences: • advanced programming (R/python, others) and statistical skills are a plus

• experience with genetic and clinical data are a plus
• experience with deep learning is a plus

What We Offer:

• an interesting transdisciplinary and international research experience
• a supportive research group with low hierarchies and a track record of excellent science

As a university, we combine the strong potential for development of a teaching and research institution with the attractive working conditions of the public sector. The University of Potsdam is a reliable employer that supports its employees with a variety of offers and benefits:

• Make the most of the various continuing education and networking opportunities offered by the University of Potsdam to refine your subject-specific and interdisciplinary competencies for professional as well as personal growth.
• All campuses have good transport connections. You can receive a monthly subsidy for the public transport job ticket and use our campus bicycles.
• Benefit from a company pension scheme, a special annual payment, and capital -forming benefits.
• Take advantage of the various offers from our Occupational Health Management unit as well as the Academic Sports Center.
• To improve employees’ work -life balance, the University of Potsdam offers family-friendly flexible working hours and a defined share of remote working hours (e.g. work from home).
• You have 30 vacation days per year (with a 5-day week) and are also exempt from work on December 24 and 31.

You can find more information about working at the University of Potsdam at https://www.uni- potsdam.de/en/arbeiten-an-der-up/employer-up/overview

For further information about this position, please contact Dr. Henrike Heyne by e-mail: hen-

Your Application: Please send us your application including the ID no. 334/2026 by August 31, 2026, preferably by email to .

If you completed higher education qualifications outside the EU, please submit a German translation and the assessment of the Central Office for Foreign Education (Zentralstelle für ausländisches Bildungswesen – ZAB) . Alternatively, please send us a PDF file from the data- base for the recognition and assessment of foreign higher education certificates (ANABIN).

The University of Potsdam values the diversity of its community and pursues the goals of equal opportunity regardless of gender, nationality, ethnic and social origin, religion/belief, disability, age, and sexual orientation and identity. Applications from abroad and from persons with a migration background are expressly encouraged. The university strives for a balanced gender ratio in all employment groups; in areas where women are underrepresented, women are given preference in case of equal suitability (Section 7 paragraph 4 of the Brandenburg Higher Education Act). People with disabilities are given preferential consideration in case of equal suitability. In aptitude tests and selection interviews, individual compensation measures for disadvantages are granted, taking the specific disability into consideration. If a person with a disability would like to make use of individual compensation measures, please state this in the application letter.

Potsdam, July 27, 2026