PhD Fellowship in Mathematical Image Analysis, University of Copenhagen, Denmark

Summary

The Department of Computer Science at the University of Copenhagen (UCPH) invites applications for a PhD fellowship within the Novo Nordisk Foundation–funded project RAPTOR—a joint research initiative with Lund University (LU) and the Technical University of Denmark (DTU). The position focuses on developing mathematically grounded structural descriptors and using learned visual representations from 3D volumetric foundation models to analyze complex sustainable materials (e.g., fiber-based materials, porous systems, metals).

PhD Fellowship in Mathematical Image Analysis for Sustainable Materials, University of Copenhagen, Denmark

Designation

• PhD Fellow / PhD Research Student

Key Information Overview

Research Area

• Mathematical Image Analysis & Computer Vision
• 3D Volumetric Imaging (X-ray microtomography, electron microscopy, synchrotron imaging)
• Visual Representations & Structural Descriptors (orientation fields, tensor-based descriptors)
• Quantitative Material Characterisation (sustainable & fibrous materials)

Location

• Department of Computer Science, University of Copenhagen, Copenhagen, Denmark (with collaborative activities at Lund University and DTU).

Eligibility & Qualifications

Educational Schemes

• Option A (Regular 3-Year PhD): Requires a completed degree equivalent to a relevant Danish Master’s degree (180 ECTS BSc + 120 ECTS MSc).
• Option B (Integrated 3+5 MSc/PhD): Open to applicants holding a degree equivalent to a relevant Danish Bachelor’s degree (enrolls in the MSc program alongside the PhD).

Required Skills & Qualifications

• Strong academic background in Computer Science, Applied Mathematics, Engineering, Physics, Statistics, Data Science, or a related quantitative field.
• Experience with image analysis, computer vision, scientific computing, or machine learning methods.
• Programming proficiency, preferably in Python or similar scientific computing environments.
• Solid mathematical maturity and interest in structural descriptors and interpretable visual representations.
• Good written and spoken English language skills.

Job Description & Responsibilities

• Conduct an independent research project under expert supervision focusing on structure-aware representations of complex materials.
• Develop, benchmark, and evaluate quantitative methods that relate visual representations to physical material properties.
• Collaborate closely with domain experts in materials science and imaging infrastructures (such as QIM, Euro-BioImaging, and the Pioneer Centre for AI).
• Complete PhD coursework equivalent to approx. 30 ECTS credits.
• Participate in research stays at collaborating partner institutions, including opportunities abroad.
• Engage in teaching, knowledge dissemination, and write scientific papers for high-impact journals culminating in a PhD thesis defense.

How to Apply

Applications must be submitted electronically in English through the official application portal.

1. Visit the University of Copenhagen Job Portal Page and click “APPLY NOW”.
2. Prepare and upload the following required attachments:
   • Motivated Letter of Application (max 1 page).
   • Motivation Statement for applying to this specific project call.
   • Curriculum Vitae (CV) including education, language skills, and relevant experience.
   • Official Diplomas & Transcripts (BSc and/or MSc) with official English translations if original documents are not in English or Danish.
   • Publication List (if applicable).
   • Reference Letters (if available).

Last Date to Apply

• August 6, 2026, at 23:59 CET

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