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, 2026How To Apply
For more information, kindly check the University website.