Fully-funded PhD position (all genders) 'Deep learning for biomedical image analysis', University Medical Center Hamburg-Eppendorf, Germany
Marina Z
Dear colleagues,
The Group of Computational Pathology at the University Medical Center Hamburg-Eppendorf, Germany, invites applications for a position as PhD candidate on the topic of 'Deep learning for biomedical image analysis' starting on 1st April 2025 for three years.
Main tasks
The Group of Computational Pathology is part of the Institute of Medical Systems Bioinformatics (IMSB), and is a young team working on biomedical image analysis, in particular microscopy images. It is led by Prof. Dr. Marina Zimmermann. The group is also a member of bAIome, the Center for Biomedical AI (www.baiome.org), a platform at UKE where AI and clinical expertise team up with the aim of bringing next-generation software solutions into the clinic.
We currently offer a position in biomedical image analysis using deep learning and are looking for highly motivated students and graduates to complement our lively and enthusiastic team of scientists starting on 1st April 2025. Embedded in our group, the successful candidate will develop state-of-the-art deep learning-based algorithms and apply them to a wide range of medical problems.
Your tasks:
- Design of novel and application of existing cutting-edge computer vision algorithms (e.g. CNNs, Vision Transformers, Foundation Models, Explainable AI) for the automatic classification and segmentation of microscopy data (supervised, weakly supervised and unsupervised), and the subsequent prediction of disease progression in direct collaboration with clinical researchers.
This position is, due to third-party funding, temporary for 3 years (80% of regular working hours).
Your profile
- Master’s degree in computer science, mathematics or related fields
- Solid understanding of deep learning and relevant frameworks (e.g. Pytorch or Tensorflow, Keras, scikit-learn, scikit-image, OpenCV)
- Good communication skills to interact with collaborators ranging from machine learning researchers to pathologists or medical students
- Experience in at least one of the following areas: digital image processing and analysis, deep learning, computer vision
- Knowledge of biology and/or medicine, as well as experience in interdisciplinary teams are a plus
- Proficiency in Python and Linux environments
- Highly motivated with an interest to work in an interdisciplinary team spanning machine learning, bioinformatics, and medicine
- Fluency in English
- Attractive compensation according to TVöD/VKA
- Secure employment with meaningful work and respectful collaboration
- Comprehensive onboarding and open knowledge exchange within the team
- Extensive training and further education programs at our UKE Academy for Education and Careers
- Opportunities to contribute to our “UKE INside” personnel policy through cross-professional and cross-hierarchical projects
- Sustainable travel: subsidies for the Deutschlandticket as a job ticket, and Dr. Bike bicycle service
- Family-friendly working environment: cooperation on childcare, free vacation childcare, advice for employees with relatives in need of care
- Excellent health, wellness, and sports programs
- A wide range of dining options in our staff restaurant, with additional choices available at the “Health Kitchen” cafés, bistros, and an on-site supermarket