Wissenschaftliche/r Mitarbeiter/in (Doktorand/in)

The University Hospital Essen offers first class medical services in the Ruhr metropolis. Every year,
225.000 patients are treated in 30 clinics, 27 institutes and specialized centers. The over 8.000
employees offer medical care with state-of-the art diagnostics and therapies, which meet highest
international standards. Patient care is connected with basic and translational research at an
internationally competitive level.
The newly founded Institute for Artificial Intelligence in Medicine is part of the SMART Hospital
Initiative of the University Hospital Essen and set out to combine medicine, technology and artificial
intelligence for the benefit of patient care, research and education.
The junior research group Trustworthy Machine Learning of the Cancer Research Enter
Cologne Essen (CCCE), located at Ruhr University Bochum, is currently seeking a
PhD Candidate (m/f/d)
(pay grade: 13 TV-L / 100 % - temporary employment)
The pay grade classification depends on the personal and collective legal requirements. The
employment is provided for the duration of a third-party funded project until 31.10.2024. An
extension might be possible according to available funding and the maximum employment
duration as given by law regarding scientific fixed-term contracts
(Wissenschaftszeitvertragsgesetz).
Your tasks

• Development of novel and theoretically sound methods of federated learning on medical

data

• Theoretical and empirical analysis of learning algorithms – with a focus on Deep Learning
• in federated learning (generalization, transferability, privacy compliance)
• Publication of research results at leading conferences and journals in English
• Implementation and empirical analysis of developed methods in a federated learning

platform on medical use cases
Your profile

• Excellent university degree (diploma or master) in computer science, mathematics, physics

or comparable qualifications

• Excellent knowledge and practical experience in Machine Learning, especially in Deep

Learning

• A high level of abstraction and mathematical creativity
• Excellent programming skills (Python preferred) and experience with common program

libraries (PyTorch, TensorFlow, sklearn, etc.)
Job Vacancy

• High motivation and the ability to work independently on complex problems and error

analyses
The University Hospital Essen is an equal opportunity employer. Female scientists are particularly
encouraged to apply. The participation in secondary employment depends on the
of North-Rhine Westphalia. Disabled applicants will be
preferentially considered in case of equivalent qualification. The position is also available as part-
time employment.
Please send your complete application documents preferably as a single pdf file within 2 weeks
after publication of this advertisement with reference to tender number 1139 to bewerbung@uk-
essen.de or in writing to the University Hospital Essen, Personnel Department, Hufelandstraße 55,
45147 Essen.
We use your data exclusively for application purposes in accordance with the applicable data
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