Research Associate

vor 2 Monaten


Oldenburg, Deutschland Carl von Ossietzky Universität Oldenburg Vollzeit

Faculty VI Medicine and Health Sciences encompasses the areas of human medicine, medical physics and acoustics, neuroscience, psychology, and health services research. Together with the four regional hospitals, Faculty VI forms the University Medicine Oldenburg. Furthermore, there is close collaboration with the University Medical Center of the University of Groningen.

The division "AI4Health" (headed by Prof. Dr. Nils Strodthoff) in the Department of Health Services Research of Faculty VI - Medicine and Health Sciences at Carl von Ossietzky University Oldenburg are seeking to fill a position at the earliest possible date for a

**Research Associate (M/F/d)**
(Salary group 13 TV-L)

with 65% of the regular weekly working hours (currently 39.8 hours). The position is limited to 36 months. There is an opportunity for further academic qualification (doctorate).

The position is part of the intramurally funded profile initiative "University Diagnostics Center", which aims to enable the diagnostic disciplines (University Institute for Clinical Chemistry and Laboratory Medicine, University Institute for Medical Genetics, University Institute for Medical Microbiology and Virology, University Institute for Diagnostic and Interventional Radiology, and the Division of Immunology) of the University Medicine Oldenburg to perform analyses using machine learning methods and to establish multimodal prediction models in research, teaching, and patient care in the long term.

**Tasks**

**Your Profile**:
**Requirements**:

- Completed university degree in Computer Science, Mathematics, Physics, or related fields
- Excellent command of English, both written and spoken
- Theoretical and practical knowledge (the former demonstrated through relevant courses/completed online courses, the latter demonstrated through personal projects) in the field of machine learning, especially in the area of deep neural networks
- Very good programming skills in Python and in the Machine Learning framework PyTorch
- High degree of independence, flexibility, and teamwork skills as well as willingness to work in an interdisciplinary manner

Desirable
- Proven experience in interdisciplinary communication
- Experience with scientific presentations and publications
- Knowledge of German

**We offer**:

- Payment according to tariff regulations (annual bonus, company pension scheme, capital-forming benefits) including 30 days of annual leave
- Support and guidance during your induction phase
- A family-friendly environment with flexible working hours (flextime) and the possibility of partial remote work
- Occupational health promotion services

Carl von Ossietzky University Oldenburg aims to increase the proportion of women in the scientific field. Therefore, women are strongly encouraged to apply. According to - 21 Para. 3 NHG (Lower Saxony Higher Education Act), female applicants with equal qualifications should be given preferential consideration. Applicants with disabilities will be given preference in case of equal qualification.



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