Postdoctoral Fellow in Physics (Ghent University)

Last application date: Mar 31, 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 a world of its own. Employing more than 15,000 people, it is actively involved in education and research, management and administration, as well as technical and social service provision on a daily basis. It is one of the largest, most exciting employers in the area and offers great career opportunities. With its 11 faculties and more than 85 departments offering state-of-the-art study programmes grounded in research in a wide range of academic fields, Ghent University is a logical choice for its staff and students. 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 μCT 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 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 01/03/2026 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 If you apply for this position please say you saw it on Physicaloxy

Last application date:
Mar 31, 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 a world of its own. Employing more than 15,000 people, it is actively involved in education and research, management and administration, as well as technical and social service provision on a daily basis. It is one of the largest, most exciting employers in the area and offers great career opportunities.

With its 11 faculties and more than 85 departments offering state-of-the-art study programmes grounded in research in a wide range of academic fields, Ghent University is a logical choice for its staff and students.

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 μCT 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 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 01/03/2026 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.