4 beste Stellen als machine learning in oldenburg – aktuell auf Personalsuche

2 PhD positions Doctoral Candidates - AI Incubator in Medicine (MWK)
Carl von Ossietzky Universität Oldenburg —Oldenburg
- Vollzeit
- Doktorat
- Master
- Aufstiegsmöglichkeiten
- Flexible Arbeitszeiten
Quereinstieg als Prompt Engineer (m/w/d) – 100% remote
mycareernow GmbH —Oldenburg
- Ab 50.000 € pro Jahr
- Teilzeit
- Homeoffice
- Microsoft Word
- Weiterbildungsprogramme
Direkt bewerben
Werkstudent:in Softwareentwicklung (Java & Machine Learning)
open knowledge —Oldenburg
- Teilzeit
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FERCHAU GmbH —Rastede
- 110.000 € – 160.000 € pro Jahr
- Vollzeit
- Informatik
- Master
- Machine Learning
- Weiterbildungsprogramme
- Flexible Arbeitszeiten

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2 PhD positions Doctoral Candidates - AI Incubator in Medicine (MWK)

Carl von Ossietzky Universität Oldenburg -
Oldenburg

Jetzt bewerben

Details zur Stelle

Vollzeit

Leistungen

Aufstiegsmöglichkeiten
Flexible Arbeitszeiten

Qualifikationen

Doktorat
Master

Vollständige Stellenbeschreibung

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 ( [email protected]).

Apply now

Please send your application via e-mail by 15.09.2026 to

[email protected]

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

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Erweiterte Suche

machine learning Jobs in oldenburg

2 PhD positions Doctoral Candidates - AI Incubator in Medicine (MWK)

Quereinstieg als Prompt Engineer (m/w/d) – 100% remote

Werkstudent:in Softwareentwicklung (Java & Machine Learning)

Abteilungsleiter Künstliche Intelligenz (m/w/d) in Direktvermittlung