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2026 PhD candidate / Research assistant at University Medical Center Hamburg-Eppendorf

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The RTG “Multiscale Imaging and Analytics of Interfaces in Musculoskeletal Health” brings together an interdisciplinary team of researchers from the University Medical Center Hamburg-Eppendorf (UKE), Hamburg University of Technology (TUHH), DESY (PETRA III), and Helmholtz-Zentrum Hereon.

We combine cutting-edge imaging, experimental analytics, data science, and translational medicine to visualize, understand and predict how musculoskeletal interfaces form, adapt, fail, or regenerate.

Together, our projects integrate advanced imaging, ultra-high-resolution electron microscopy (TEM, SBF-SEM, FIB-SEM), Synchrotron imaging, nano- and micro-CT, SAXS/WAXS, Raman spectroscopy, optical-coherence-tomography, biomechanics, finite cell and finite element modeling, and AI-driven analytics into unified, correlative workflows.

The PhD candidate is working in one of the projects listed below and detailed at www.rtg3144.de/apply-now. In total, we are hiring 10 PhD candidates for the first cohort of the RTG, running for 4 years from 2026-2030. Applicants can apply for a maximum of three of ten projects.

For more detailed descriptions of the projects, training and qualification, and supervision please visit www.rtg3144.de.

  • P1 Assessing the impact and predictive value of bone marrow fat, BMD, muscle mass, and muscle fat on fracture risk and outcome using spectral-CT imaging
  • P2 Exploring molecular pathways of tendon-to-bone healing in normal and osteoporotic bone remodeling
  • P3 The influence of age-related changes in human tendon enthesis, cortical bone microstructure, and myotendinous junction on fracture risk
  • P4 High-resolution imaging and analytics of mineralized bone tissue and soft tissues at the bone-tendon-muscle interfaces
  • P5 Intra-bone-tissue-interfaces connecting around the osteocyte network: Investigating the relationship between the osteocyte and vascular networks
  • P6 The impact of the bone microenvironment on endothelial cell behavior and the reciprocal effects of vascular dysfunction on bone quality
  • P7 Development of spatiotemporal deep learning methods for shear-wave elastographic imaging at soft tissue interfaces (application and enrolment at TUHH)
  • P8 Assessing the mechanical damping effect of fat in vertebral bone (application and enrolment at TUHH)
  • P9 Assessing musculoskeletal intervention using zebrafish locomotion analyses and tissue phenotyping
  • P10 What are the sex-specific vascular-driven mechanisms contributing to changes in gait and motion?

These positions are temporary for 4 years due to third-party funding.

Table of Content

Summary

  • Application DeadlineMarch 1, 2026
  • Study LevelPhD
  • SponsorUniversity Medical Center Hamburg-Eppendorf
  • City to studyHamburg
  • School to studyUniversity Medical Center Hamburg-Eppendorf
  • Eligible CountryAll Countries
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Benefits

  • 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

Requirements

  • Master’s degree (or equivalent) in a STEM-related field, including but not limited to biology, biochemistry, biomedical engineering, materials science, life sciences, computer science, mechanical engineering, mathematics, physics, or data science
  • Strong motivation to work at the interface of biomedical and engineering research
  • Demonstrated interdisciplinary interest, e.g. in imaging, artificial intelligence, biomechanics, medical technology, and musculoskeletal health
  • Depending on the specific project, experience in one or more of the following areas:
    • Experimental research and laboratory techniques
    • Computational or theoretical research
    • Statistical analysis and data evaluation
    • Programming and data science methods
  • Ability and willingness to acquire new methods outside one’s original discipline
  • Strong teamwork and communication skills in an interdisciplinary research environment
  • High level of self-motivation, resilience, and problem-solving ability
  • Willingness to actively participate in a structured qualification and training program
  • An interdisciplinary mindset combined with a solid disciplinary background, with openness to diverse scientific perspectives and expertise

 

 

Application Documents

  • Motivational letter (specify the project you apply for, you can apply to max. 3)
  • CV
  • Transcript of records/ (Bachelor and Master)
  • Recommendation letter (usually by previous supervisor)

Check also:
2026 Fully Funded Humboldt Research Fellowship
2026 Konrad Adenauer Foundation Scholarship

Application Deadline

March 1, 2026

How To Apply

For more information, kindly check the University website.

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