The Faculty of Science at the University of Amsterdam (UvA) is inviting applications for a PhD position in Shape Analysis for Medical Imaging, focusing on deep learning with anatomical knowledge integration. This project, hosted within the renowned qurAI group, aims to develop methods that use anatomical priors as training data for neural networks—moving beyond traditional manual annotation approaches.
The research will initially focus on musculoskeletal applications, but the scope is open to collaboration with other PhD projects across healthcare domains.
Job Summary Table
| Field | Details |
|---|---|
| Title | PhD Position on Shape Analysis for Medical Imaging |
| Organization/Publisher | University of Amsterdam (Faculty of Science) |
| Work Location | Amsterdam, The Netherlands |
| Research Field | Medical Imaging, Deep Learning, Shape Analysis, Applied AI |
| Funding Info | Fully funded – 4-year PhD contract (initial 18 months + extension) |
| Application Deadline | 31 August 2025 |
| Posted Date | August 2025 |
| Country | The Netherlands |
| Researcher Profile | PhD Applicant (MSc in AI, CS, or Applied Mathematics) |
| Apply Button | Apply at UvA |
| Required Qualification | MSc/Engineering degree in AI, Computer Science, or Applied Mathematics |
| Required Experience | Research/problem-solving skills, programming, Git/Unix proficiency, algebra/calculus |
| Salary Details | €3,059 – €3,881 gross/month (scale P), plus 8% holiday allowance and 8.3% year-end bonus |
Research Focus
This PhD project seeks to leverage anatomical and domain knowledge as input data for training deep neural networks, aiming to reduce reliance on manual annotations. The project combines mathematical modeling, applied AI, and medical imaging applications, with strong emphasis on:
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Theoretical and methodological developments.
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Applied work on musculoskeletal imaging.
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Expansion into broader clinical domains.
Responsibilities
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Conduct independent research in AI and medical image analysis.
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Publish findings in peer-reviewed conferences and journals.
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Collaborate actively within the qurAI group.
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Supervise Bachelor’s and Master’s students.
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Identify synergies with ongoing research within the group.
Candidate Profile
The ideal candidate is curious, independent, and detail-oriented, with skills in both mathematical modeling and applied computer science.
Required:
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MSc in AI, Computer Science, or Applied Mathematics.
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Strong grasp of algebra, calculus, and mathematical notation.
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Proven record in research/problem-solving challenges.
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Proficiency in Unix, Git, and programming paradigms.
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Excellent English (C1/C2 level).
Preferred:
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Research publications or coding competition experience.
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Multilingual skills, volunteering, or extracurricular achievements.
Salary & Benefits
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€3,059 – €3,881 gross/month (scale P, depending on experience).
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Holiday allowance (8%) and year-end bonus (8.3%).
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Up to 232 holiday hours annually.
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Partner leave (7 weeks at full pay).
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Partly paid parental leave.
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Support for housing if relocating.
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Access to courses in Dutch, leadership, stress management, time management, etc.
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Pension scheme (ABP).
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Work-from-home options.
About the Host Group (qurAI)
The Quantitative Healthcare Analysis (qurAI) group is an interdisciplinary research hub, embedded in:
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Faculty of Medicine (Biomedical Engineering & Physics)
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Faculty of Science (Informatics Institute)
qurAI collaborates with the Amsterdam UMC, the Netherlands Cancer Institute (NKI), and international partners. The group’s mission is to develop socially responsible AI innovations for healthcare with direct clinical relevance.
Application Process
Applications must be submitted by 31 August 2025 and should include:
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Detailed CV (with months of education/work).
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Motivation letter.
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One selected implementation (with GitHub link if available).
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Publications list (if any).
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Two referees’ contacts.
Contact:
Dr Hoel Kervadec – [email protected]
Official Reference
🔗 University of Amsterdam – Faculty of Science Vacancies
⚠️ Disclaimer
This article is a summarised version of the official PhD posting by the University of Amsterdam. For complete details, eligibility checks, and application submission, applicants should consult the official UvA recruitment portal.