University of Maastricht
2 months ago
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PhD Position in Multimodal Molecular Imaging and Multi-Omics for Biopharma at Maastricht University Maastricht University in Netherlands
Degree Level
PhD
Field of study
Oncology
Funding
Fully funded PhD position. The offer includes a 12-month contract with the prospect of a 3-year extension, a gross monthly salary of €3059.00 to €3881.00 based on full-time employment, plus 8% holiday allowance and an 8.3% year-end bonus.
Deadline
Expired
Country
Netherlands
University
University of Maastricht

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About this position
PhD opportunity at Maastricht University in multimodal molecular imaging and multi-omics for biopharma. This fully funded doctoral project is hosted by the Maastricht MultiModal Molecular Imaging Institute (M4i), Maastricht University, in collaboration with the Institut Servier de Médecine Translationnelle in Saclay, France. The research focuses on antibody-drug conjugates (ADCs), targeted cancer therapies, and the development of next-generation imaging workflows to study biodistribution, efficacy, and safety.
The PhD candidate will work at the intersection of molecular imaging, mass spectrometry imaging, multi-omics, digital pathology, artificial intelligence, and translational biomedical research. Methods mentioned include MALDI-MSI, DESI-MSI, transmission-mode MALDI-MSI, nanoscale SIMS, laser microdissection, and high-resolution mass spectrometry. The project aims to visualize and quantify total ADC, total antibody, and free payload across multiple biological scales, from whole organisms and organs to tissues, cells, and subcellular structures.
The successful candidate will join an international multidisciplinary team of imaging scientists, analytical chemists, biologists, clinicians, computational scientists, and biomedical researchers. A significant part of the project will be spent at Servier research facilities in Saclay, France, offering experience in both academia and industry. The work is especially relevant to oncology drug development, pharmacodynamics, efficacy biomarkers, and toxicity mechanisms.
Eligibility highlights: a Master’s degree in (Bio)Chemistry, Analytical Science and Technology, Biomedical Sciences, or a related field; hands-on laboratory experience with biological systems; strong interest in molecular imaging and analytical chemistry; affinity with spatial biology or multi-omics; interest in computational image analysis and AI; excellent English (C1 or higher). Experience with relevant imaging or data science tools is beneficial but not required.
Funding: fully funded PhD position with a 12-month contract and the prospect of a 3-year extension. Salary is €3059.00–€3881.00 gross per month (full-time), plus holiday allowance and year-end bonus.
Application deadline: 15 August 2026. Applicants should submit a motivation letter, CV, degree certificates, and at least two academic references via AcademicTransfer. Mention the project name and vacancy number in the application.
Funding details
Fully funded PhD position. The offer includes a 12-month contract with the prospect of a 3-year extension, a gross monthly salary of €3059.00 to €3881.00 based on full-time employment, plus 8% holiday allowance and an 8.3% year-end bonus.
What's required
Applicants should hold a Master's degree in (Bio)Chemistry, Analytical Science and Technology, Biomedical Sciences, or a related discipline. The post asks for hands-on laboratory experience involving biological systems, a strong interest in molecular imaging, analytical chemistry and translational biomedical research, affinity with mass spectrometry imaging, spatial biology or multi-omics, interest in computational image analysis, digital pathology and artificial intelligence, strong analytical and problem-solving skills, the ability to work independently in an interdisciplinary international team, and excellent written and spoken English at C1 level or higher. Experience with MALDI-MSI, DESI-MSI, ion beam technologies, Laser Capture MicroDissection, high-resolution mass spectrometry, biological sample preparation or data science is an advantage but not essential.
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