Ghent University, Belgium invites online Application for number of Fully Funded PhD Positions at various Departments. We are providing a list of Fully Funded PhD Programs available at Ghent University, Belgium.
Eligible candidate may Apply as soon as possible.
(01) PhD Positions – Fully Funded
PhD position summary/title: Doctoral fellow
Many industrial and healthcare applications demand real-time knowledge of the location, status, and activities of both people and equipment. Traditionally, this has required separate, specialized wireless systems for communication, radar-based sensing, and localization—each relying on dedicated hardware. However, the emerging field of joint wireless communication, sensing, and localization offers a unified approach that combines data transmission with simultaneous environmental awareness and position estimation. Ultra-Wideband (UWB) technology, in particular, stands out as a strong candidate for this integration due to its large bandwidth, which enables high-precision localization, robust communication, and fine-grained sensing. In this PhD project, you will develop advanced signal processing techniques that empower a single UWB multi-antenna radio platform to perform all these functions concurrently, significantly enhancing the situational awareness and versatility of deployed wireless systems.
- You study how to implement both localization and radar sensing capabilities using a single radio platform. Traditional localization systems typically rely on multiple anchor nodes—often three to four—strategically placed around the perimeter of the coverage area. In contrast, your approach leverages a single infrastructure node equipped with multiple antennas. By analyzing the phase, polarization, and timing characteristics of incoming signals across these antennas, you will be able to simultaneously estimate the distance, angle of arrival, orientation, and even classify the activity types of mobile tags and individuals. This method significantly reduces hardware complexity while enhancing spatial awareness and functionality. Your work will involve designing advanced algorithms that efficiently utilize UWB signal features (RSSI, channel impulse response, phase and amplitude data, Doppler maps,..) to support both high-precision localization and radar-based sensing.
- You will develop adaptive algorithms that dynamically select the optimal radio configuration based on the specific requirements of each application. The radio platform supports a range of physical layer settings, which must be intelligently adjusted in real time to account for factors such as obstacle types, energy efficiency, and desired detection range. These algorithms will enable the system to autonomously optimize performance for varying operational conditions, ensuring reliable communication, accurate localization, and efficient sensing across diverse environments.
- You implement the designed solutions on embedded hardware platforms and experimentally validate their performance using our large testbed facilities representing industry (https://idlab.ugent.be/resources/industrial-iot-lab) and residential environments (https://idlab.ugent.be/resources/homelab). Experimental validation can be backed by modelling or theoretical assessments.
Deadline : Feb 28, 2026
(02) PhD Positions- Fully Funded
PhD position summary/title: PhD Student
Wireless systems are omnipresent in our daily life, but it is far from perfect, especially for professional applications, where stable quality of service with bounded latency, guaranteed packet delivery rate is a must. Today, we still see Wi-Fi coverage is far from uniform, high variations of the Wi-Fi signal strength can be observed at different locations. Co-located Wi-Fi access points sharing the same spectrum compete against each other rather than collaborate to serve users. In this PhD position, you will research solutions to tackle these issues and improve wireless performance and efficiency together with the members of Software-Defined Radio team in IDLab.
- You will enhance WiFi design in view of distributed MIMO, and/or coordinated multi-AP operation (under study in the Wi-Fi 8 standardisation workgroup), using Hardware Description Language on FPGA, based on the open-source openwifi project (https://github.com/open-sdr/openwifi).
- You are also encouraged to design higher networking layer functionality and driver in Linux environment, to fully exploit the distributed MIMO and coordinated multi-AP feature.
- You publish and present results both at international conferences and in scientific journals.
- You will combine theoretical design with experimental proof-of-concept validation by setting up prototyping environments in our test lab considering concrete professional use cases (industry 4.0, mission-critical applications, professional multimedia applications, etc.)
- You will participate in the framework of national and European research projects, and collaborate on a technical level with research partners from industry.
- You will assist in limited educational tasks of the research group.
- This research will lead to a PhD degree. Throughout the complete PhD period, you receive a full-time, attractive salary.
Deadline : Dec 31, 2025
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(03) PhD Positions – Fully Funded
PhD position summary/title: Doctoral fellow
The “AI for Energy” team (AI4E), led by prof. Chris Develder and prof. Bert Claessens at the Internet and Data Lab (IDLab) at Ghent University – imec is looking for a qualified and motivated candidate to pursue a Ph.D. in artificial intelligence for energy applications. Our AI4E team has as a mission to research, develop and incubate data-driven (decision making) technology supporting decarbonization of our society, through co-creation with industry & research partners. Today’s energy system is still going through a transition that mostly is driven by the increasing introduction of renewable energy sources (RES), both in large-scale installations (wind farms, solar) as well as distributed over large number of small-scale assets (e.g., rooftop PV). This calls for an increasing adaptivity, especially in terms of flexibly controlling power consumption of various assets (e.g., batteries, heat pumps, electric vehicle chargers). The research at AI4E is centered around (1) data-efficient control of flexible assets, (2) scaling up aggregated control of large volumes of such assets, and (3) predictive support tools for grid operators. Our approach across these 3 research lines is to adopt fit-for-purpose and holistic solutions, which typically involve data-driven AI approaches, relying on neural networks, reinforcement learning, graph neural networks, etc.
In this PhD position, you will build on our expertise in reinforcement learning for flexibility exploitation, and design of AI-based energy management algorithms to coordinate individual and combinations of
flexible loads. These algorithms should cater for large asset portfolios, balancing local objectives with (multi-)market incentives. The algorithms should maximally be self-learning, uncertainty-aware, explainable, and explicitly respect key operational constraints including user comfort, grid limits, and asset degradation (e.g., battery wear).
Deadline : Dec 15, 2025
(04) PhD Positions – Fully Funded
PhD position summary/title: Doctoral fellow
We are launching a new interdisciplinary research project at IDLab-MEDIA (https://media.idlab.ugent.be/), UGent – imec, aimed at advancing the state of the art in motion capture, sensor fusion, immersive media, and 3D computer vision. Within this broader initiative, we are seeking two PhD researchers who will contribute to complementary aspects of the project. This position focuses on developing infrastructure-free, markerless motion capture systems using wearable sensors, exploring multimodal fusion, robust pose estimation, and real-time processing. The other position targets immersive media representation and 3D computer vision, investigating novel methods for photorealistic scene reconstruction and understanding. Together, these roles form a cohesive effort to bridge algorithmic innovation with practical applications in next-generation media technologies.
This research focuses on developing infrastructure-free, markerless motion capture systems using on-body sensors (e.g., cameras, IMUs, pressure sensors, UWB). You will explore:
- Multimodal sensor fusion for fine-grained motion tracking
- Robust pose estimation in unconstrained environments
- Real-time processing under resource constraints
- Learning representations that generalize across users and tasks
The goal is to enable unobtrusive and accurate motion understanding without reliance on external infrastructure or markers.
Deadline : Dec 15, 2025
(05) PhD Positions – Fully Funded
PhD position summary/title: Doctoral fellow
We are launching a new interdisciplinary research project at IDLab-MEDIA (https://media.idlab.ugent.be/), UGent – imec, aimed at advancing the state of the art in motion capture, sensor fusion, immersive media, and 3D computer vision. Within this broader initiative, we are seeking two PhD researchers who will contribute to complementary aspects of the project. This position targets immersive media representation and 3D computer vision, investigating novel methods for photorealistic scene reconstruction and understanding. The other position focuses on developing infrastructure-free, markerless motion capture systems using wearable sensors, exploring multimodal fusion, robust pose estimation, and real-time processing. Together, these roles form a cohesive effort to bridge algorithmic innovation with practical applications in next-generation media technologies.
The research of this position focuses on advancing techniques for immersive media, including XR, volumetric capture, and interactive 3D content with the goal of obtaining a doctoral degree. You will work on:
- 3D reconstruction and scene understanding from multi-view visual data (compact wearable multi camera setup),
- novel representation methods (e.g., based on Gaussian splatting) for photorealistic immersion in moving scenes,
- computer vision for scene understanding (e.g. objects, lighting) using AI algorithms working on the 3D representation,
The goal is to bridge fundamental algorithmic work with practical applications in immersive technologies.
Deadline : Dec 15, 2025
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(06) PhD Positions- Fully Funded
PhD position summary/title: Doctoral fellow
The TRASlab team (https://traslab.ugent.be) is active in various European projects on bioproduction and water purification. Recently, the Water4All project EPHIC was approved, in which we will use electrochemical processes to make the removal of phosphate from wastewater and surface water more sustainable. The project is run in collaboration with Cranfield University (United Kingdom), RWTH Aachen (Germany) and BETA center (Spain). We are looking for a PhD candidate who can do process development at Ghent University in collaboration with the international partners. The research must therefore lead to a doctorate and mainly includes lab-based reactor research and development. The start is on January 1, 2026 at the earliest
Deadline : Dec 06, 2025
(07) PhD Positions – Fully Funded
PhD position summary/title: Doctoral fellow
BioPort is a young and dynamic research group composed of eight researchers at the Faculty of Bioscience Engineering, Centre for Synthetic Biology of Ghent University. We work on several fundamental and applied aspects of industrial biotechnology and synthetic biology, involving various microorganisms (e.g. microbial transport systems to promote compound membrane crossing in a synthetic biology context, yeast lipids and waste valorisation, C1 utilization). Check our website at https://csb-bioport.mystrikingly.com and www.csb.ugent.be).
You will be hired with the goal to perform doctoral research and to obtain a doctoral degree in 4 years time. You will be employed on the Horizon Europe Pathfinder project “Engineering bioreactor mass production of arbuscular mycorrhizal fungi for European farming (AMFactory)”, where researchers from several institutes and countries join forces. It is your task enable low-cost, large-scale biosynthesis of plant-AMF signaling compounds via microbial cell factories and synthetic biology (WP3). These plant-AMF signaling compounds are essential for optimal fungal colonization of the plant roots. They will be identified by other partners and we will establish their heterologous production in microbial cell factories such as Escherichia coli, Saccharomyces cerevisiae or Yarrowia lipolytica. An abstract of the research project can be found below.
Deadline : Dec 01, 2025
(08) PhD Positions – Fully Funded
PhD position summary/title: Doctoral fellow
As a research fellow, you will conduct academic research on the intersection of textile engineering, industrial design engineering, and movement sciences. The main objective of this position is to write a doctoral thesis in these fields within a period of 4 years. This includes studying and developing methodologies, prototypes and frameworks, as well as conducting experiments and assessments. These activities are taking place within two broader international projects with stakeholders in industry and different European counties. In addition, you will be involved in the operations and services of the associated research groups (Center for Textile Science and Engineering, imec-mict-UGent, design.nexus & Rehabilitation Sciences) and their educational programs.
We are seeking two highly motivated PhD candidates to join a interdisciplinary team as doctoral fellow in the area of comfort of advanced protective clothing. The work will be carried out in the framework of two international projects funded through the European Defence Agency.
In advanced protective clothing, such as for first responders and military, ergonomic and thermos physiological comfort are often jeopardized. The purpose of the research is to better understand how to improve the balance between comfort (in particular ergonomic and thermo physiological) and protection (in particular impact and broad spectrum camouflage). The work for both studies includes developing high end subjective and objective methods to quantify the two types of comfort, modelling and simulation of how the design affects comfort and validation by prototyping. The multi scale modelling addresses the behaviour of multilayer fibre based structures in terms of mechanics (ergonomics in posture and movement) and transfer of heat and moisture (thermo physiological).
Deadline : Nov 30, 2025
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(09) PhD Positions – Fully Funded
PhD position summary/title: Doctoral fellow
- You will perform laboratory experiments aimed at revealing the effect of abiotic stressors, metazoan grazers, and/or bacteria on cell size dynamics and sexual reproduction of model araphid and raphid diatom species.
- You will obtain and analyze (single cell) transcriptomes from various diatom species, including comparative transcriptomics and differential expression analysis.
- You will develop reporter lines and – time permitting – knock-out lines and use advanced microscopy techniques to functionally study selected genes.
- You will integrate experimental and gene expression data to obtain a mechanistic insight into the response of diatoms to stress.
- Data management and curation is an important aspect of your project.
- You will be encouraged to contribute to science communication.
- You will work in the Laboratory of Protistology & Aquatic Ecology (PAE) at Ghent University’s Department of Biology, under supervision of Prof. Wim Vyverman, Dr Gust Bilcke, and Dr Darja Belišová (EMBL Heidelberg)
Deadline : Nov 30, 2025
(10) PhD Positions – Fully Funded
PhD position summary/title: Doctoral fellow
As a PhD student, you will contribute to the development of models for electrical machines for sustainability. This project aims at developing smart parameterized multiphysics models for the electric machines. As a PhD student, you will contribute to the development of high-fidelity parameterized models for modeling electromagnetic, thermal, and mechanical properties of electric machines especially towards recycling purposes. Prototypes will be made and tested. Several journal and conference publications are required.
Deadline : Nov 30, 2025
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About Ghent University, Belgium – Official Website
Ghent University is a public research university located in Ghent, Belgium. It was established in 1817 by King William I of the Netherlands. After the Belgian revolution of 1830, the newly formed Belgian state began to administer the university. In 1930, the university became the first Dutch-speaking university in Belgium, whereas French had previously been the standard academic language in what was Université de Gand. In 1991, it was granted major autonomy and changed its name accordingly from State University of Ghent (Dutch: Rijksuniversiteit Gent, abbreviated as RUG) to its current designation.
In contrast to the Catholic University of Leuven or the Free University of Brussels, UGent considers itself a pluralist university in a special sense, i.e. not connected to any particular religion or political ideology. Its motto Inter Utrumque (‘In Between Both Extremes’), on the coat of arms, suggests the acquisition of wisdom and science comes only in an atmosphere of peace, when the institution is fully supported by the monarchy and fatherland.
Ghent University is one of the biggest Flemish universities, consisting of 44,000 students and 9,000 staff members. The University also supports the University Library and the University Hospital, which is one of the largest hospitals in Belgium. It is one of the greatest beneficiaries of funding from the Research Foundation – Flanders (FWO). Ghent University consistently rates among the top 100 universities in the world.
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