The University of Oldenburg is seeking to fill the following position:
| Paygrade | E13 TV-L |
|---|---|
| Working Hours | 100% (suitable for part-time) |
| Institution | Department of Computing Science (School II of Computing Science, Business Administration, Economics and Law) |
| Location | Oldenburg (Oldb) |
| Application Deadline | 15.09.2026 |
| First day of work | as soon as possible |
| Limited | for 3 years |
About us
The University of Oldenburg has been awarded 22.5 million euros from the Ministry of Science and Culture (MWK) and the Volkswagen Foundation from the “Strategic Development of Potential” funding line to strengthen its research profile and its national and international competitiveness through the project „A Programme for Excellence. Developing Strengths and Building Potentials by Interdisciplinary and International Networking“.
The programme promotes international networking, supports students and early-career researchers, and strengthens interdisciplinary research in socially relevant and innovative fields.
The positions are part of the MWK-funded project “AI Incubator in Medicine”. The positions are intended to support early-career researchers in pursuing doctoral qualifications. Applicants who already hold a PhD and wish to further develop their research profile are also welcome to apply.
Your tasks
Medical AI Foundation Models
Medical AI foundation models are large-scale, pre-trained models used in healthcare, diagnostics, and biomedical research. Trained on diverse datasets, these models can integrate and reason over multimodal medical data, such as imaging, clinical text, and physiological signals, thereby enabling flexible adaptation across a wide range of clinical tasks. Within the paradigm of physical AI, these models serve as a unifying intelligence layer for systems operating in real-world healthcare environments, with embodied AI systems, including healthcare robots, being a key example. They enable context-aware perception, reasoning over patient-specific data, and execution of actions guided by high-level natural language instructions.
Key research topics, in collaboration with the German Research Center for Artificial Intelligence (DFKI), include interactive machine learning, explainability (XAI), transparency, fairness, and robustness.
Your profile
Requirements:
Applicants should hold an MSc in computer science, mathematics, or a related discipline. Experience with state-of-the-art machine learning for image analysis, multimodal information extraction, vision-language models, and/or human-in-the-loop machine learning is expected. Experience with deep learning frameworks for image analysis or AI methods for health and wellbeing applications would be an advantage. Successful candidates are expected to develop excellent scientific writing skills. They will also present scientific findings and implement demonstration systems for user evaluations and project deliverables.
We offer
- An excellent opportunity to advance foundational research in applied AI for medicine
- Excellent opportunities to continue your personal and professional development
- Close collaboration with national and international partners from both academia and industry
- A multidisciplinary team of around 25 researchers and engineers that works on closely related topics and is highly visible in related international research communities.
Our standards
The University of Oldenburg is dedicated to increase the percentage of female employees in the field of science. Therefore, female candidates are strongly encouraged to apply. In accordance to § 21 Section 3 NHG, female candidates with equal qualifications will be preferentially considered. Applicants with disabilities will be given preference in case of equal qualification.
Further information
School II – Computing Science, Business Administration, Economics, and Law of the University of Oldenburg offers a modern, interdisciplinary academic environment in which technical, economic, and societal perspectives are brought together. Within this faculty, the Department of Computer Science stands for research-intensive and practice-oriented academic education.
The position is based in the Chair for Applied Artificial Intelligence led by Professor Sonntag.
The opportunity for personal academic qualification (doctoral degree) is provided and explicitly supported!
Contact
For further information, please contact ().
Apply now
Please send your application via e-mail by 15.09.2026 to
Applications should be submitted as a single PDF with reference “AAI-005-MWK“ and should include a full CV, copies of certificates and contact details for two academic referees, and the earliest possible starting date. Applications must be received by 15 September 2026, 5:00 pm GMT.
Benefits at University of Oldenburg
30 days vacation
Secure remuneration according to collective agreement
Company pension scheme
Further education opportunities
Flexible working hours
Health management
Remote working
Compatibility of career and family
Support with childcare
University Sports Centre
Certificate Bicycle-friendly employer
Corporate Benefits
How to apply
- Click on the button below to access the login form of our application portal.
- If you have not already done so, please first click on REGISTER to create a user account.
- We askinternal applicants to register as applicants with a private e-mail address. The university’s official e-mail address is reserved for those working on an appointment committee.
- Once you have registered, you can log in with your access data and then start your application.
- You can log in at any time later at https://jobs.uni-oldenburg.de and then access your application.
- General information on the application portal can be found at https://uol.de/bewerbungsportal.
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