Sonstige Position außerhalb der Pflege

Stellenbeschreibung
Gleichen Sie hier die Stellenbeschreibung mit Ihrem Profil ab.
Anstellungsart
Teilzeit
Arbeitsort
Hamburg
Leistungen

• Firmenfahrrad-Leasing
• Jobticket
• Kostenbeteiligung am Arbeitsweg
  Vollständige Stellenbeschreibung
  Better together. For life.
  At the University Medical Center Hamburg-Eppendorf (UKE), we are committed to excellence in research, education, and comprehensive healthcare across our clinics. Every day, our team of approximately 15,300 dedicated employees works to make the world a healthier place. Our goal is to be one of the leading university hospitals while also being the best employer in our industry.
  At UKE, we believe that meaningful and successful work should align with our employees' personal needs and individual lifestyles. Just as diverse as these needs are, so too is the variety of personalized solutions we offer. Welcome to the UKE.
  PhD position (all genders) - deep learning for biomedical image analysis
  Job-ID: J000004140
  Contract Type: Temporary
  Employment Type: Part time
  Closing Date: 24.02.2025
  Organization: UKE_Zentrum für Molekulare Neurobiologie (ZMNH)
  Category: Research & Science
  Department: Institut für Medizinische Systembioinformatik
  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, 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
• Masters 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
  Immunity status
  Please note that employment is contingent upon proof of immunization or immunity against the measles virus, in accordance with applicable legal and medical requirements. Documentation (e.g., vaccination certificate) must be provided before employment begins.
  Our Offer
• 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
  About us
  We live diversity and value variety.
  We offer a work environment that provides equal opportunities regardless of age, gender, sexual identity, disability, ethnic and social 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 disabilities with equal aptitude, competence, and professional performance will be given priority.