PhD Positions on Function Research: The Cilia-AI European Training Programme is offering 14 PhD positions focusing on primary cilia function and its dysfunction in rare human diseases (ciliopathies). This initiative aims to equip the next generation of interdisciplinary biomedical researchers with essential skills, harnessing machine learning and advanced imaging technologies for groundbreaking research in health and disease.
PhD Positions on Primary Cilia Function Research
Designation
PhD Positions: Multiple openings available across various partner institutions.
| Position Code | Supervisor | Host Institute | Anticipated Starting Date |
|---|---|---|---|
| DC1 | Prof. Ronald Roepman | Radboud University Medical Center | Between 1/5 and 1/9/2025 |
| DC2 | Prof. Martijn Huijnen | Radboud University Medical Center | As soon as possible |
| DC3 | Prof. Søren Tvorup Christensen | University of Copenhagen | 1/9/2025 |
| DC4 | Prof. Lotte Bang Pedersen | University of Copenhagen | 1/9/2025 |
| DC5 | Prof. Esben Lorentzen | Aarhus University | As soon as possible |
| DC6 | Prof. Rob Russell | University of Heidelberg | As soon as possible |
| DC7 | Dr. Gaia Pigino | Fondazione Human Technopole | 1/6/2025 (earlier start possible) |
| DC8 | Dr. Alexandre Benmerah | Institut Imagine | September 2025 |
| DC9 | Prof. Karsten Boldt | University of Tübingen | As soon as possible |
| DC10 | Prof. Sophie Saunier | Institut Imagine | September 2025 |
| DC11 | Prof. Anna Akhmanova | Universiteit Utrecht | As soon as possible |
| DC12 | Dr. Florian Jug | Fondazione Human Technopole | 1/6/2025 (earlier start possible) |
| DC13 | Dr. Marijn Stokman | Radboud University Medical Center | 1/9/2025 |
| ADC* | Prof. Pleasantine Mill | University of Edinburgh | 08/09/2025 |
(*Administered and funded by UK Research and Innovation)
Research Area
Biological Sciences, Biomedical Research, Machine Learning Applications in Health
Location
Primary Locations:
- Radboud University Medical Center, Nijmegen, Netherlands
- University of Copenhagen, Denmark
- Aarhus University, Denmark
- University of Heidelberg, Germany
- Fondazione Human Technopole, Milan, Italy
- Institut Imagine, Paris, France
- University of Tübingen, Germany
- Utrecht University, Netherlands
- University of Edinburgh, United Kingdom
Eligibility/Qualification
- Master’s degree in relevant fields: Life Science, Biomedical Science, Biology, (Bio)chemistry, Bioinformatics, Biophysics, Structural Biology, Computer Science, Mathematics, or Engineering.
- Applicants must not have resided in the host country for more than 12 months in the 3 years prior to recruitment.
- Fluency in English (at least B2-level).
Description
The Cilia-AI project aims to investigate the structural and functional complexities of primary cilia, which play crucial roles in various cellular signaling pathways. The program will incorporate machine learning techniques and advanced imaging technologies to explore the relationship between genotype and phenotype in ciliary disorders. Successful candidates will engage in cutting-edge research with interdisciplinary teams across multiple prestigious institutions.
How to Apply
To apply for a position, please submit the following as a single PDF document to simone.dusseljee@radboudumc.nl:
- A one-page letter of motivation for the position(s) and the Cilia-AI network.
- A detailed CV in EU format (including education, work experience, skills, research interests, and references).
- A completed preference form indicating the projects you are interested in (maximum of 3).
- A transcript of your master’s grades, including an explanation of the grading system, and the abstract of your master’s thesis if available.
Last Date to Apply
March 15, 2025, 23:59 (Europe/Amsterdam)
For more information and to access additional resources, visit the Cilia-AI website.
