ABOUT GHENT UNIVERSITY

Ghent University is one of the top 100 universities in the Dutch language area, with more than 44,000 students and 15,000 staff members.

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Last application date

Dec 18, 2026 23:59

Department

TW07 - Department of Telecommunications and Information Processing

Degree

You hold a Master's degree (preferably) in Engineering, Physics, Mathematics, Computer Science, or an equivalent degree. The degree requirements must be met by the date of appointment.

Occupancy rate

100%

Vacancy type

Research staff

ABOUT GHENT UNIVERSITY

Ghent University is one of the top 100 universities in the Dutch language area, with more than 44,000 students and 15,000 staff members.

Image Processing and Interpretation (IPI, http://ipi.ugent.be) is an imec research group at Ghent University. IPI consists of 40 researchers and conducts state-of-the-art research in digital image and video processing for a wide range of applications, including real-time image and video processing and machine learning. This encompasses application domains such as industrial inspection, (ultra) high-definition video enhancement, smart multi-camera networks, computer vision, sensor fusion, and (medical) imaging.

This project is in close collaboration with the Radiation Physics research group at the Center for X-ray Tomography (UGCT, http://www.ugct.ugent.be). This group conducts research on micro-CT, an imaging technique for examining materials and objects at high resolution in 3D.

YOUR TASKS

This vacancy concerns a PhD-level research position within an ambitious project on the reconstruction of micro-CT using machine learning in the form of implicit neural representations (INRs).

The goal is to improve traditional computed tomography by avoiding computational bottlenecks by directly reconstructing and analyzing raw CT data into a compressed neural form, rather than via the intermediate step of traditional discrete voxel grids.

You will conduct fundamental and applied research at the intersection of linear algebra, inverse problems, signal processing, and machine learning.

The position requires close collaboration with experts in both image processing and imaging physics, as well as with researchers in computational mathematics and applied AI. In addition to the collaboration within Ghent University, there is also a collaboration with the Centrum Wiskunde en Informatica (CWI, http://www.cwi.nl), a research institution in Amsterdam specializing in computational mathematics.

WHAT WE ARE LOOKING FOR

You hold a Master's degree (preferably) in Engineering, Physics, Mathematics, Computer Science, or an equivalent degree. The degree requirements must be met by the date of appointment.
A strong interest in signal processing, inverse problems, and mathematics is essential for success in this position, in addition to expertise in machine learning.
Familiarity with (medical) image reconstruction (tomography) or computational imaging is highly desirable.
Knowledge of and experience with machine learning is also a plus.
You will design, implement, and validate novel algorithms, and benchmark them against state-of-the-art reconstruction pipelines.
Strong programming skills (e.g., Python/C++ and GPU-based computing) and proficiency with modern machine learning frameworks are required.
We seek a motivated researcher eager to push the boundaries of dynamic imaging through the research and development of mathematically grounded, computation-efficient methods.
As an academic, you will represent your work at international conferences, and you display a positive, critical attitude towards improving the current state-of-the-art in the field.

WHAT WE CAN OFFER YOU

We offer a full-time position as a doctoral fellow, consisting of an initial period of 12 months, which - after a positive evaluation, will be extended to a total maximum of 48 months.

Your contract will start on 01/12/2026 at the earliest.

The fellowship amount is 100% of the net salary of an AAP member in equal family circumstances. The individual fellowship amount is determined by Team Personnel Administration based on family status and seniority. A grant that meets the conditions and criteria of the regulations for doctoral fellowships is considered free of personal income tax. Click here for more information about our salary scales

All Ghent University staff members enjoy a number of benefits, such as a wide range of training and education opportunities, 36 days of holiday leave (on an annual basis for a full-time job) supplemented by annual fixed bridge days, bicycle allowance and eco vouchers. Click here for a complete overview of all the staff benefits.

INTERESTED?

Send your cv, copy of your diploma (if already in your possession) and a motivation letter to Jan.Aelterman@UGent.be.

We do not accept late applications.

As Ghent University maintains an equal opportunities and diversity policy, everyone is encouraged to apply for this position.

For more information about this vacancy, please contact prof. Jan Aelterman (Jan.Aelterman@UGent.be,)

Job details

Title

Doctoral fellow - Department of Telecommunications and Information Processing

Employer

Ghent University

Location

Sint-Pietersnieuwstraat 33 Ghent, Belgium

Published

2026-10-22

Application deadline

2026-12-18 23:59 (Europe/Brussels)

2026-12-18 23:59 (CET)

Job type

Field

Computational Mathematics

Medical Imaging

and 5 more

Artificial Neural Network

Machine Learning

Computer Vision

Algebra

Programming Languages

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Application instructions

Please send your application to Jan.Aelterman@UGent.be

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Ghent University

Ghent University is one of the top 100 universities in the Dutch language area, with more than 44,000 students and 15,000 staff members.

Visit the employer page

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