University of Twente
Just added
2 days ago
PhD Position in Optimisation and Optimal Transport at University of Twente University of Twente in Netherlands
Degree Level
PhD
Field of study
Medical Imaging
Funding
This is a fully funded 4-year PhD position with a gross monthly salary ranging from €3,059 to €3,881. Additional benefits include an 8% holiday allowance, 8.3% end-of-year bonus, flexible/hybrid working options, over 300 hours of annual leave, free access to campus sports facilities, family-friendly policies, and a solid pension scheme.
Deadline
Mar 25, 2026
Country
Netherlands
University
University of Twente

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.
Where to contact
Keywords
About this position
The University of Twente in the Netherlands is inviting applications for a fully funded 4-year PhD position in Optimisation and Optimal Transport within the NWO-VIDI project "SPARGO: Exploring and Exploiting the Geometric Landscape of Infinite-Dimensional Sparse Optimisation." The position is based in the Faculty of Electrical Engineering, Mathematics & Computer Science (EEMCS), specifically in the Mathematics of Imaging and Artificial Intelligence (MIA) group, and is supervised by Dr. Marcello Carioni.
This research project focuses on developing new mathematical frameworks for optimisation in infinite-dimensional spaces, leveraging optimal transport as a geometric tool for data comparison and representation. Key topics include sparse representations, data compression, and applications to neural networks, imaging, and partial differential equations (PDEs). The work sits at the intersection of deep mathematical theory and computational applications, offering opportunities for international collaboration with groups at the University of Cambridge and KFU Graz.
Applicants should hold or be near completion of an MSc in Mathematics, with a strong background in functional analysis, optimisation (continuous or discrete), optimal transport, PDEs, calculus of variations, or inverse problems. Interest in coding and numerical methods is expected, and proficiency in English is required. The application package must include a CV, motivation letter, BSc and MSc transcripts, MSc thesis summary, and contact details for two academic referees (including the MSc supervisor).
The position offers a competitive salary (€3,059–€3,881 gross/month), 8% holiday allowance, 8.3% end-of-year bonus, flexible/hybrid working options, over 300 hours of annual leave, free access to campus sports facilities, family-friendly policies, and a solid pension scheme. The University of Twente is committed to diversity and encourages applications from women and underrepresented groups.
To apply, submit your application online via the University of Twente careers portal before March 25, 2026. For further information, contact Dr. Marcello Carioni at [email protected].
Funding details
This is a fully funded 4-year PhD position with a gross monthly salary ranging from €3,059 to €3,881. Additional benefits include an 8% holiday allowance, 8.3% end-of-year bonus, flexible/hybrid working options, over 300 hours of annual leave, free access to campus sports facilities, family-friendly policies, and a solid pension scheme.
What's required
Applicants must have, or be near completion of, an MSc degree in Mathematics. A strong background in one or more of the following is required: functional analysis, continuous or discrete optimisation, optimal transport, partial differential equations, calculus of variations, or inverse problems. Interest in coding and numerical methods is expected. Proficiency in English is required. Applicants should provide a CV, motivation letter, BSc and MSc transcripts, MSc thesis summary, and contact information for two academic referees (including MSc supervisor).
How to apply
Apply online via the University of Twente careers portal before March 25, 2026. Upload your CV, motivation letter, academic transcripts, MSc thesis summary, and contact details for two referees. For questions, contact Dr. Marcello Carioni at [email protected].
Ask ApplyKite AI
Professors

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.