Publisher
source

Technical University of Denmark

Just Landed

Fully Funded PhD in Machine Learning for Nano-Tomography at DTU Compute Technical University of Denmark in Denmark

Degree Level

PhD

Field of study

Computer Science

Funding

Fully funded PhD position.

Deadline

Nov 16, 2026

Country flag

Country

Denmark

University

Technical University of Denmark

Social connections

How do I apply for this?

Sign in for free to reveal details, requirements, and source links.

Apply for this position

Keywords

Computer Science
Electrical Engineering
Materials Science
Deep Learning
Mathematics
Technical Engineering
Programming Language
Physics
Applied Mathematic
ML

Suggested positions

About this position

Fully funded PhD opportunity in Machine Learning for Nano-Tomography at DTU Compute in Denmark.

The project focuses on developing machine learning methods for X-ray nano-tomography, with research collaboration involving EPFL and PSI. This is a strong fit for candidates interested in computer science, physics, applied mathematics, engineering, and data-driven imaging research.

Eligibility highlights: a Master’s degree in Computer Science, Applied Mathematics, Physics, Engineering, or a related field; strong background in ML/deep learning; and solid programming skills.

Funding: fully funded PhD position.

Deadline: 16 November 2026.

Interested applicants should use the provided application link to access the DTU Compute scholarship page and submit their application before the deadline.

Funding details

Fully funded PhD position.

What's required

Master’s degree in Computer Science, Applied Mathematics, Physics, Engineering, or a related field. Applicants should have a strong background in machine learning/deep learning and programming.

How to apply

Apply via the linked DTU Compute scholarship page. Open the application link and submit the required materials before the deadline of 16 November 2026.

More information can be found here

Ask ApplyKite AI

Start chatting
Can you summarize this position?
What qualifications are required for this position?
How should I prepare my application?