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PhD position (all genders) in AI for biomedical data analysis

Personalwerk GmbH
Hamburg (DE)
Regular pay according to TVöD/VKA
Closing date
9 Jun 2024

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Job Type
PhD Position
Employment - Hours
Part time
Fixed term

PhD position (all genders) in AI for biomedical data analysis Part time  | Temporary | Arbeitsort: Hamburg-Eppendorf

UKE_Zentrum für Molekulare Neurobiologie (ZMNH)

Better together. For life.  

We are the University Medical Center Hamburg-Eppendorf (UKE) - and we stand for excellent competence in research, teaching and comprehensive healthcare in our clinics. Every day, our approximately 14,900 employees strive anew to make the world a little healthier with their contribution.
It is our aspiration to be one of the leading university hospitals - and at the same time the best employer in our industry. At UKE, for example, we firmly believe that successful and fulfilling work should be in harmony with employees' personal needs and individual lifestyles. And as diverse as these are, so is our range of individual solutions.

Welcome to the UKE.

Main tasks

You will join the Institute of Medical Systems Biology and the bAIome Center for Biomedical AI ( to complement our lively and enthusiastic team of machine learning engineers.

Your main tasks will encompass the development of novel machine and deep learning algorithms to understand, predict, and treat human disease. Using multi-modal genomic, image, and patient data, in conjunction with graph, transformer, and diffusion models, you will help us understand and treat immune-related maladies. Together with clinical disease experts, you will translate your findings into targeted applications.


This position is for a limited period of three years as part of a third-party funded project and is to be filled with 65% (negotiable, possibly more) of regular weekly working hours.

Your profile

  • Master’s degree in computer science, bioinformatics or related fields
  • Solid understanding of machine and deep learning and relevant frameworks (e.g. Pytorch or Tensorflow, Keras, scikit-learn, OpenCV)
  • Proficiency in Python, Linux and HPC environments
  • Good communication skills to interact with collaborators ranging from machine learning researchers to pathologists or medical students
  • Knowledge of biology and medicine is a plus
  • Highly motivated with an interest to work in an interdisciplinary team spanning machine learning, bioinformatics, and medicine
  • Strong English language skills to communicate and collaborate in our diverse work environment

Our Offer

  • Regular pay according to TVöD/VKA; attractive company pension plan and various employee discounts
  • 30 days of vacation; possibility of special leave
  • Central location: Our clinic is centrally located at the beautiful Eppendorfer Park
  • Sustainable travel: subsidies for the HVV-ProfiTicket and Dr. Bike bicycle service; option to lease a service bike
  • Crisis-proof workplace, meaningful activity, appreciative interaction and open exchange of knowledge within the team; structured induction training
  • Opportunity to actively shape and develop the working environment within the framework of our employee program (UKE INside).
  • Family-friendly working environment: cooperation on childcare, free vacation care, advice for employees with relatives in need of care
  • Excellent health, prevention and sports offers
  • Healthy and varied lunch break: In addition to our canteen, there is a rich selection of culinary offerings just a few steps away, for example the "Health Kitchen" cafés and bistros, as well as other snack bars, bakers, a supermarket, etc.

Knowledge – Research – Healing through Shared Competence: The UKE Contact

We look forward to receiving your complete appli­cation by 22nd April 2024.

Contact to the department
Prof. Dr. Stefan Bonn

Recruiting contact
Recruiting Team
+49 (0) 40 7410-52599

Please note that employment is only possible if there is complete proof of immunization or immunity against the measles virus in accordance with the applicable (legal and medical) requirements. You must provide proof of this by means of appropriate documents (e.g. vaccination certificate) before commencing employment.

We live diversity and value variety

We offer a work environment providing equal opportunities regardless of age, gender, sexual identity, disability, origin or religion. This is confirmed by our accession to the Charter of Diversity. We explicitly aim to increase the proportion of women in management positions, especially among scientific personnel in research and teaching. Women with equal qualifications will be given priority. The same applies in the case of under-representation of one gender in the advertised area. Persons with severe disability with equal aptitude, competence and professional performance will be given priority.


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