Ghent University, Belgium invites online Application for number of Fully Funded PhD Degree 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 Degree – 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.
Deadline : Dec 31, 2025
(02) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
As a PhD student, you will contribute to the development of multiphysics (electromagnetic & thermal) models for windings of electric motors. Also, you will study how the motor design can be modified to make the windings in the machine more robust against thermal variations or mechanical vibrations. The work includes a significant experimental part, i.e. making prototypes of stators and test the concepts for sustainable windings. The project has a user group of companies, which are active in enameled wire, impregnation and potting techniques, electric machine design and electric machine manufacturing or repair.
Deadline : Sep 30, 2025
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(03) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
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.
Deadline : Sep 01, 2025
(04) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
The GeoAI Research Center (https://geoai.ugent.be/) and UGent Crime Lab (https://research.ugent.be/web/result/organisation/b566d29e-1b9f-11f0-937e-e33ba6a1388c/details/en) of Ghent University, Belgium are looking for a full-time PhD student in the field of Geospatial AI (GeoAI) and Geography of Crime. The joint research team hosts more than 30 researchers, focusing on GeoAI, spatio-temporal data analysis, location based services (LBS), urban analytics, and spatio-temporal and quantitative criminology. The position will start on 01 Oct 2025, or as soon as possible thereafter.
The selected PhD student is expected to contribute to a FWO research project on geographic patterns of crimes and their environmental determinants, developing and employing (new) GeoAI and quantitative research methods . More specifically, the candidate will focus on 1) developing (new) GeoAI methods to enable fine-grained spatial data modelling of street environments, 2) elucidating the contribution of geographic environment to crimes and crime diversity, 3) large-scale spatio-temporal analysis based on big geospatial data. The PhD student will work closely with Prof. Haosheng Huang (https://users.ugent.be/~haohuang/) and Prof. Christophe Vandeviver (https://ircp.ugent.be/researchers/christophe-vandeviver/).
Deadline : Sep 01, 2025
(05) PhD Degree – Fully Funded
PhD position summary/title: Doctoral fellow
The ChildMove project (www.childmove.eu) has generated important and innovative insights into the experiences of unaccompanied minor refugees. However, this research focused primarily on the perspectives of the young people themselves, leaving the viewpoint of their parents largely unexplored.
This PhD project aims to shift the focus to the perspectives of parents whose child has migrated as an unaccompanied minor. These parents often still reside in the country of origin or in another country, separate from their child.
The specific research focus and context will be further developed in close collaboration between the PhD researcher and the supervisor. Preferably, within the first year of your PhD, you apply for further external funding for your study, e.g. to the FWO.
Deadline : Aug 15, 2025
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(06) PhD Degree – Fully Funded
PhD position summary/title: Doctoral fellow
- Although an increasing number of organizations are paying attention to sustainability, the successful implementation of sustainability policies remains a significant challenge. It is essential that teams and employees within the organization support and contribute to the implementation of these policies. The aim of this doctoral research is to gain insight into how consensus can be fostered regarding the (importance of) sustainability goals across different hierarchical levels within an organization, and how this consensus can enhance both the implementation and the positive impact of sustainability policies.
- You will dedicate at least 90% of your assignment to conducting scientific research in preparation for a doctoral dissertation in Business Economics.
- You will carry out high-quality academic research and, within a four-year period, write a doctoral dissertation based on English-language scientific articles that are (potentially) publishable in peer-reviewed academic journals. This research will be conducted in collaboration with the research team.
- You will present interim research findings both internally (e.g., research seminars) and externally (e.g., academic conferences, both nationally and internationally).
- You will contribute to the internal and external service activities of the Department of Marketing, Innovation, and Organization.
- Your supervisors are highly experienced in teaching, research, and the successful supervision of doctoral candidates. You will collaborate with other PhD researchers, fostering rich social interactions and numerous learning opportunities.
Deadline : Aug 15, 2025
(07) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
You conduct doctoral research in the area of Augmenting Learning Environments Using Generative AI and Neuroadaptive Systems, with the aim to obtain a PhD after at most 4 years.
This PhD project focuses on the augmentation of learning environments through generative AI, with the goal of enhancing cognitive efficiency, engagement, and flow in learners. The central aim is to design intelligent systems that dynamically adapt the environment to support optimal learning conditions, based on real-time neurophysiological feedback.
Key principles guiding the research include:
- Cognitive Load Optimization: The environment should foster an optimal cognitive load — enough to challenge without overwhelming. Properly tuned cognitive demand helps reduce distraction and improves focus, while overload leads to inefficiency and cognitive fatigue.
- Novelty and Engagement: Generative AI will be used to introduce a controlled level of novelty in learning content and environmental cues, as novelty is a known driver of curiosity and deeper engagement. However, novelty must be balanced to prevent disorientation.
- Closed-Loop Neuroadaptive System: Because learners may not visibly express confusion or cognitive strain, EEG signals will be used to assess cognitive state, such as workload and attention, in real time. These signals will feed back into the system, enabling adaptive modification of the environment and content — creating a closed-loop learning system.
- Human-Robot Interaction (HRI): The learning environment may include robotic agents that interact with the learner. Here, maintaining engagement and flow is critical. The robot’s behavior, appearance, and interaction style will be adapted to the learner’s mental state and task progress.
Deadline : Aug 15, 2025
(08) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
Forest ecosystems play a crucial role in the global carbon cycle and the global climate. The shape and size of trees within a forest are impacted by forest dynamics (e.g. tree growth and forest disturbances). Our current knowledge about forest growth is limited, mainly due to the difficulty to accurately measure tree structure, e.g. diameter at breast height (DBH), tree height and aboveground biomass (AGB), repeatedly and objectively. Terrestrial laser scanning (TLS, also called terrestrial lidar) measures the in situ structure of trees and forests in explicit 3D detail and opens a new avenue in accurately measuring very detailed 3D structure of trees and forests.
You will work across multiple ecosystems, including the Amazon rainforest (AmazonFACE experiment in Brazil), the wet tropics of Australia (Queensland Permanent Rainforest Plots), Wytham Woods (UK) and Bosland National Park in Belgium. You are expected to contribute to the collection of terrestrial laser scanning data in these ecosystems, further complementing already existing data.
The PhD fellow will (1) conduct terrestrial laser scanning fieldwork across a range of ecosystems; (2) contribute to the development of new methods to analyse multitemporal 3D data from terrestrial laser scanning in forests; and (3) apply these methods to gain ecological insights in how forest structure is changing through time.
Deadline : Aug 03, 2025
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(09) PhD Degree – Fully Funded
PhD position summary/title: Doctoral fellow
The STFES research group (Sustainable Thermo-Fluid Energy Systems, https://www.ugent.be/ea/eemmecs/en/research/stfes) is widely known for its research on thermal energy. Both experimental and numerical techniques are used in the analysis, design and optimization, resulting in a unique position in the field. The overall goal is to support more energy efficient systems in buildings and industry. With this, the research contributes in devising technical solutions for the reduction of CO2 emissions in accordance with the European Union’s Energy Roadmap 2050.
We are looking for a motivated and talented PhD student to delve into the field of thermal energy, specifically high-temperature industrial heat pumps. Heat pumps are widely recognized as a key technology for sustainable heat supply. Nevertheless, many aspects still need to be explored in order to fully unlock their potential. Only recently has attention shifted towards high-temperature (>100°C) industrial heat pumps for process heat applications. Within the framework of several national research projects (UPheat-INES 1.0 & 2.0, RethinkEnergy4Food) and international collaborations (IEA Annex 57), the research group has built up extensive expertise in this area. Through this PhD position, we aim to further expand and strengthen our research position. The specific research aims are:
- Research on a new and unique high-temperature (up to 200°C) water/ammonia heat pump recently developed and installed in our lab. The focus will be on gaining in-depth knowledge of the operation of a custom-built compressor with two-phase working fluid injection, designed to limit the discharge temperature.
- Electrification of heat in the food industry, within the project ‘RethinkEnergy4Food’. This research will investigate the techno-economic aspects and feasibility of heat electrification using various technologies (Mechanical Vapor Recompression – MVR, heat pumps, electric boilers). Based on this, a methodology will be developed to match energy demand and processes with the appropriate technology through techno-economic analysis. This methodology will be validated using two generic demonstration cases.
- You also support the STFES (Sustainable Thermo-Fluid Energy Systems, https://www.ugent.be/ea/eemmecs/en/research/stfes) research group for educational tasks and internal operation of the group.
Deadline : Aug 01, 2025
(10) PhD Degree – Fully Funded
PhD position summary/title: Doctoral fellow
The research group GASPAR (www.gaspar.ugent.be) is seeking a motivated and enthusiastic researcher to pursue a PhD based on the 4-year research project ‘When Policy Hits Home: Understanding Losers’ Consent in the Context of Salient Policy Decisions’. Here is a short summary of the content of this project:
Democracies depend on the premise that all citizens, even losers (i.e., those who did not obtain the desired outcome in a decision-making process), comply with the law and retain a certain level of support for the political system and its procedures. In established democracies with high levels of electoral integrity, such as Belgium, obtaining losers’ consent in the context of elections has not been challenging so far. However, when it comes to the acceptance of single policy decisions, also in these countries, fierce resistance has occurred. Losers of policy decisions do not only seem to question democratic procedures, but they also seem willing to accept non-democratic behaviour in reaction to their loss. It is hence essential to gain a better understanding of losers’ consent in the context of salient policy decisions. However, the existing literature on this topic is descriptive, does not focus on the origins of losers’ consent, and has mainly been conducted in the context of elections and referendums. This project aims to address this gap by studying the origins of losers’ consent in the scope of salient policy decisions. Methodologically, the project relies on focus groups, a lab experiment, and survey experiments. By providing a better understanding of the origins of losers’ consent in the context of salient policy decisions, this project offers innovative theoretical and empirical insights that are much required for maintaining a well-functioning democracy.
Deadline : Aug 01, 2025
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(11) PhD Degree – Fully Funded
PhD position summary/title: Doctoral fellow
The current PhD position is available for a highly motivated candidate to work within the research group of Prof. Olivier De Wever. The main aim of the PhD project is to address the fidelity of tumor models in cancer research. In this regard, the PhD student will apply state-of-the-art technologies to analyze the behaviour and therapy response of tumor models including the composition and characteristics of cancer cells and tumor microenvironment elements such as cancer-associated fibroblast (CAF) and immune cells.
Tumor models include the use of three-dimensional cell aggregates (also named spheroids) (Peirsman&Blondeel et al. Nature Methods 2021), patient-derived tumor fragments (Vermeulen et al. Sci Rep 2024) and patient-derived orthotopic xenograft mouse models (Fischer et al. Clin Trans Med 2023). Patient-derived models are obtained from surplus tissues in full collaboration with our clinical partners. A living biobank of cancer cell cultures (https://www.crig.ugent.be/en/ghent-living-biobank-sarcoma-glb-s), CAF (Tommelein et al. Cancer Res 2018; Xia et al. Clin Trans Med 2024) and immune cells (Steenbrugge&Dejaeghere et al. Cancer Res 2021) is available to reconstitute the TME using heterocellular spheroids (DeJaeghere&Devlieghere et al. Biomaterials 2018). The De Wever lab is expert in the extensive evaluation of the impact of experimental parameters in tumor models (Peirsman&Blondeel et al. Nature Methods 2021; Fischer et al. STAR protocols 2024; DeThaye et al. Sci Rep 2020). This supporting ecosystem has steered the De Wever lab towards a leading position in the set-up and detailed evaluation of a diverse complementary set of tumor models.
Deadline : Aug 01, 2025
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(12) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
The Ectopic Mineralization Research Group (EMRg) within the Center for Medical Genetics at Ghent University Hospital has a vacancy available for a PhD fellowship on the following research project; ”Exploiting the genomic architecture of ectopic calcification: from variants to genome-guided therapy, using pseudoxanthoma elasticum as a model.”
Mineralization of soft tissues such as skin or blood vessels leads to destruction of the affected tissue and hence important morbidity and mortality. It is a feature in common disorders such as chronic kidney disease, atherosclerosis and diabetes mellitus. A more extreme presentation of soft tissue mineralization can be seen in genetic disorders, of which pseudoxanthoma elasticum (PXE) is considered a hallmark disease.
PXE is an autosomal recessive connective tissue disorder mainly characterized by calcification and fragmentation of the elastic fibers in the extracellular matrix of the skin, eyes and cardiovascular system. The disease is most commonly caused by mutations in the ABCC6 gene. This results in progressive skin lesions, retinal bleeding leading to blindness and accelerated atherosclerosis with a high cardiovascular risk. Currently, the management of PXE focusses on symptom control and prevention as no treatment is available. This research project aims to evaluate the efficacy of genome-guided therapy in ectopic calcification, common in acquired and heritable disorders, by using PXE as a model.
Indeed, PXE presents many of the molecular and treatment challenges which are common in ectopic calcification: i) many of the variants found in the ABCC6 gene are variants of unknown significance for which no experimental validation is available; ii) the genotype remains unknown or incomplete in approximately 20% of PXE patients with a clinical and histological diagnosis; and iii) there are no causative treatments for PXE to date, despite considerable morbidity and mortality. By focusing on correcting the cause of disease rather than the symptoms, genome-guided therapy provides a promising line of treatment for PXE and related EC disorders. First, we will optimize the detection of pathogenic variants that are missed by current screening approaches. We will focus on non-coding ABCC6 variants and variants in novel disease genes, using whole genome sequencing (WGS). Next, validated biochemical assays will be used to evaluate the effect on protein function of non-coding and coding ABCC6 variants. Once pathogenicity is established, we will use CRISPR-nuclease based strategies to correct the genetic defect by increasing endogenous ENPP1 expression for ABCC6 missense or nonsense variants and correcting splicing defects by non-coding variants. This project will lead to major advances in our knowledge on the molecular variability of PXE patients and will contribute to better diagnosis and treatment perspectives.
Deadline : Jul 31, 2025
(13) PhD Degree – Fully Funded
PhD position summary/title: Doctoral fellow
The focus of this FWO-Vlaanderen funded project is on the dynamics of language change in Flemish Sign Language (VGT). The innovative design of this project is to approach the topic from two interrelated angles: 1) variation in VGT and 2) contact, with the surrounding majority spoken language, i.e. Dutch and with the historically related French-Belgian Sign Language (LSFB). We hypothesize that the unique linguistic characteristics of sign languages (SLs), coupled with ongoing contact and pressure from majority spoken languages (SpLs), contribute to the rapid pace of change observed in SLs compared to SpLs. By investigating these phenomena in a signed language, we aim to provide insights into the complex interplay between variation, contact, and the dynamics of language change in (minority and face-to-face) human languages in general, and to make a unique contribution to language policy discussions within the domain of sociolinguistics.
The research team will consist of Prof. Dr. Mieke Van Herreweghe (Ghent University) and Prof. Dr. Myriam Vermeerbergen (KU Leuven), as applicants and supervisors of the project, two part-time postdoctoral researchers, a part-time technician, and two doctoral fellows. We are currently looking for the two doctoral fellows: one will focus on the study of language contact and will be based at Ghent University under the supervision of Mieke Van Herreweghe; the other will focus on variation in Flemish Sign Language and will be based at KU Leuven, Antwerp Campus, under the supervision of Myriam Vermeerbergen. The current job description concerns the first doctoral fellow.
Deadline : Jul 15, 2025
(14) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
For our international interdisciplinary research team focused on computer vision and surgical video analysis, we are looking for a motivated research assistant. This is a full-time, one-year position that is renewable once (upon a favorable evaluation) for a maximum total period of four years. The ultimate goal of the research is always to obtain a doctoral degree. The funding for this position primarily comes from the following BOF-funded interdisciplinary research project: “Computer Vision Metrics for Objective Evaluation of Surgeon Performance in Robotic Pancreatic Surgery”. The candidate will work as a Research Assistant at the Campus of UZ Ghent in Belgium in close collaboration with ORSI Innotech, Melle, Belgium. The researcher is expected to join an international interdisciplinary research team and, in collaboration with other PhD candidates and researchers with medical and engineering background, perform innovative research on the topic of surgical video analysis, with the goal of developing deep machine learning techniques for the analysis of surgical videos focusing on error detection and performance metrics.
Deadline : Jul 15, 2025
(15) PhD Degree – Fully Funded
PhD position summary/title: Doctoral fellow
Inherited retinal disease is a major cause of early-onset vision loss or blindness that is at the forefront of gene therapy development. Although thousands of variants have been identified in 300+ disease genes, a third of patients remains genetically unsolved. This project will focus on understudied genome elements potentially implicated in disease pathogenesis, namely translation-regulatory elements and proteoforms. Translation-regulatory elements typically reduce translation of the primary coding sequence, whereas proteoforms are different protein isoforms translated from the same gene. This project aims to enhance both molecular diagnosis and genetic therapies by the delineation of novel translation-regulatory elements and proteoforms that could harbour yet undiscovered pathogenic variants and represent novel therapeutic targets, respectively.
To this end, we will perform cutting-edge proteomics analyses on post-mortem human retinal tissues and use bioinformatics and deep learning tools to integrate it with complementary omics datasets to identify novel translation-regulatory elements and proteoforms. Next, a selection of these elements will be functionally validated through cellular, functional and activity assays. Novel translation-regulatory elements and proteoforms will then be investigated on the presence of potential causal variants in both in-house and international patient cohorts (e.g. through access of the Genomics England genomes). Finally, the most potent translation-regulatory elements will be assessed as novel therapeutic targets. To this end, we will design and evaluate antisense oligonucleotides (ASOs) to provide steric hindrance to these elements and as such increase translation of the primary open reading frame. ASO evaluation will be performed in vitro using cell lines as well as on patient-derived retinal cultures. In contrast to current ASO strategies that are mostly variant/exon specific, this novel approach has the potential to treat large patient cohorts, independent of the causal variant.
Deadline : Jul 11, 2025
(16) PhD Degree – Fully Funded
PhD position summary/title: Doctoral fellow
The research group GASPAR (www.gaspar.ugent.be) is looking for a motivated and enthusiast researcher in order to conduct a PhD, based on the 4-year research project ‘Do voters use socio-demographic cues to estimate politicians’ ideological positions? (IdeoPos)’ This project will be conducted under supervision of Prof. Dr. Bram Wauters and Dr. Robin Devroe. Below, we give a short summary of the content of this project:
Understanding politicians’ ideological positions is a crucial element in a representative democracy. Inaccurate estimations of these positions can have detrimental consequences, e.g. incorrect voting, lowering political trust and exacerbating affective polarisation. Citizens lack, however, time and energy to thoroughly analyze all politicians. As a result, they rely on information shortcuts (or cues) when assessing ideological positions of politicians. Due to processes such as partisan decline, personalisation and increased intra-party competition, individual cues have become more important as information shortcut. This project will focus on ideological cues related to politicians’ gender, age and ethnic origin. Based on an experimental design, existing theories will be tested in a new context and new theoretical frameworks will be explored.
Deadline : Jul 11, 2025
(17) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
Performing chemical scientific research with the aim to obtain a PhD in the field of organic synthesis via high-throughput experiments. The research focuses on optimising metal-catalysed coupling reactions for preparing interesting basic molecules for the pharmaceutical industry. The methodology’s tolerance to functional groups will allow ‘late stage’ functionalisation to be performed on advanced building blocks.
Deadline : Jul 09, 2025
(18) PhD Degree – Fully Funded
PhD position summary/title: Doctoral fellow
The STFES research group (Sustainable Thermo-Fluid Energy Systems, https://www.ugent.be/ea/eemmecs/en/research/stfes) is widely known for its research on thermal energy. Both experimental and numerical techniques are used in the analysis, design and optimization, resulting in a unique position in the field. The overall goal is to support more energy efficient systems in buildings and industry. With this, the research contributes in devising technical solutions for the reduction of CO2 emissions in accordance with the European Union’s Energy Roadmap 2050.
We are currently working on two-phase expansion for power generation in an Organic Rankine Cycle (ORC). The goal is to model this complex process using computational fluid dynamics (CFD), taking into account thermodynamic non-equilibrium. The developed method can then serve as the foundation for a new generation of ORC systems with improved efficiency. These cycles are particularly well-suited for converting waste heat into usable energy, thereby contributing to the renewable energy transition.
Deadline : Jul 07, 2025
(19) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
“Anything else you’re interested in is not going to happen if you can’t breathe the air and drink the water. Don’t sit this one out. Do something. You are by accident of fate alive at an absolutely critical moment in the history of our planet.” Carl Sagan
Imagine a world in which production companies do not have to worry about their energy supply. Not just because they have their own renewable energy sources (e.g., solar panels, wind turbines) and energy storage (e.g., industrial batteries), but more importantly because their entire production system has been designed and is managed to optimally use the available electrical and thermal energy. In essence, focus has shifted from optimizing production goals and subsequently determining where and how to get energy from, to optimizing production and energy goals together.
In light of growing awareness of environmental concerns, production companies have furthermore drastically reduced greenhouse gas (GHG) emissions, meeting and even exceeding the 2030 and 2050 EU Green Deal objectives. As a result, production is more sustainable and cheaper in terms of energy costs, without sacrificing capacity.
Unfortunately, we are presently far removed from such an ideal world. This is why now, more than ever before, we need to focus on energy-aware production optimization, in order to take not just a small step but a giant leap towards the sustainable factory of the future.
Deadline : Jul 06, 2025
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(20) PhD Degree – Fully Funded
PhD position summary/title:
At Ghent university, in the Department of Developmental, Personality and Social Psychology, we are looking for a full-time PhD student as part of an FWO-funded project (BREATHE: Breathing Regulation for Emotion and Teenage Health Everyday).
In recent years, stress-related symptoms such as anxiety and depression have surged among adolescents, raising urgent questions about how to better support adolescent mental well-being. In this project, we aim to explore a promising, yet unexplored, alternative: resonant breathing, a slow-paced breathing technique designed to activate the parasympathetic nervous system—the body’s natural “brake” on stress. Resonant breathing has the potential to be a simple, scalable, and low-cost intervention that can be seamlessly integrated into adolescents’ daily lives. Building on insights into adolescent physiological plasticity, this project aims to investigate how resonant breathing can enhance adolescent stress resilience and health.
This project aims to address this fundamental gap by (a) implementing a large randomized controlled trial, and (b) involving stakeholders (adolescents, teachers, parents, organizations) via focus group interviews. In a first phase, we will collect qualitative data via focus groups to identify the best conditions for a feasible intervention. Subsequently, the controlled trial will test the immediate and longer-term benefits of resonant breathing on momentary affect and stress-related symptoms in 250 high-risk adolescents by delivering resonant breathing in adolescents’ daily life via a mental health app during a 2-week period. Pre- and post-measurements include mental health, psychophysiology, daily life emotion dynamic (via ecological momentary assessment) and objective measures of sleep. Finally, interviews with stakeholders will also be organized to evaluate the process and explore future implementations. Other empirical studies will be conducted to examine how and when adolescents may more strongly benefit from resonant breathing exercises. Together, this research will offer unique knowledge for tailoring intervention and prevention programs in several youth contexts.
Deadline : Jul 06, 2025
(21) PhD Degree – Fully Funded
PhD position summary/title: Doctoral fellow
The Ghent University Business Informatics (UGent Business Informatics) research group and the Cost and Value Analytics, Modelling and Optimisation (CVAMO) Flanders Make @UGent core lab have a funded 4-year PhD student position available in the area of process mining with applications in the manufacturing industry (Principal Investigators: Prof. dr. Seppe vanden Broucke, Prof. dr. Frederik Gailly, Prof. dr. ir. Steven Mertens, Prof. dr. Geert Poels – https://ugent-businessinformatics.github.io).
The start date for this position is 1 September 2025.
We expect the PhD student to engage in the following activities:
- Conducting scientific research in the field of process mining to obtain a doctoral degree.
- Contributing to process mining and knowledge extraction projects in collaboration with the manufacturing industry.
- Valorisation of research results within the manufacturing industry.
- Providing support for research, teaching, and service activities (maximum of 10% of the time allocation)
Deadline : Jul 01, 2025
(22) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
Are you passionate about neuromodulation and eager to contribute to cutting-edge research in epilepsy treatment? The 4BRAIN research group is offering a PhD position within an ambitious, interdisciplinary, international project focused on Temporal Interference Stimulation (TIS) as an innovative treatment for epilepsy. TIS is a novel neuromodulation technique capable of targeting deep brain structures in a non- or minimally invasive manner. You will play a central role in the preclinical research activities of the project.
Deadline : Jun 30, 2025
(23) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
Your job will be first to build an optical pump – visible probe setup capable of detecting optically induced changes in active micrometer scale devices (such as LEDs, photo-detectors) or nanostructured materials on the few hundred nanometer length scales. This will require focusing down the femtosecond light pulses using microscopy techniques to resolve spatial inhomogeneity and dynamics in the structures. Next to this, you will develop electrical pump –optical probe methods to study the effect of charge injection/extraction on optical losses to understand the roadblocks towards electrically pumped lasing.
Deadline : Jun 30, 2025
(24) PhD Degree – Fully Funded
PhD position summary/title: Doctoral fellow
- Ghent University is seeking a candidate for a PhD position to research and enhance the interoperability of decentralized data vaults based on Solid, while maintaining compliance with EU regulations on AI and data protection.
- Solid was born as a decentralization effort for the Web, based on Web standards such as the Hypertext Transfer Protocol (HTTP) or the Resource Description Framework (RDF), with the main goal of decoupling storage from data consumption, to enhance end-users control over their data and who gets to access it. Such a decoupling gives end-users the possibility to select which data vault provider to choose, while allowing them to reuse data across multiple applications and to switch between them at any time. This signifies a substantial change in relation to the current status quo of the Web, where the big platforms not only use data but also keep it in their own servers out of reach from their users.
- In this context, the PhD student is expected to extend existing protocols, data formats, and data sharing mechanisms with information in data vaults to facilitate seamless communication and data exchange among various decentralized data vault systems, including Solid. Moreover, the student will be expected to develop a demonstration of these data exchanges in decentralised environments, to demonstrate how these technologies can make data flow better for both individuals and companies when compared with alternative solutions. To facilitate these mutually beneficial interactions, the student will be developing technologies to assist with legal processes towards creating and maintaining long-term trust relationships between humans, businesses and machines.
- The PhD student will participate in an international and multidisciplinary team in an EU-funded Doctoral Network project called HARNESS (Harnessing AI and Data-Intensive Technologies), which includes expertise in the domains of ethics, law, and technology. The project consists of 13 doctoral candidates who will pursue their PhD across 9 universities, and collaborate with 9 other industrial and academic partners. The project has partners from 9 different countries. All 13 PhD projects will get comprehensive training, supervision, and secondments in several fields of knowledge, allowing individuals to become experts in their specific disciplines while gaining practical knowledge across the various fields of knowledge of the network. This training program is supported by an excellent team of partners who are world leaders in their respective domains.
- This PhD project will take place at Ghent University. Apart from the time at UGent, the student will have secondments in different partners, including at the Dublin City University (DCU), Ireland. There will also be common meetings with the other PhD students and supervisors in the doctoral network, including 3 training workshops.
- As a participant in the project, the PhD student will become part of the IDLab-KNoWS team at UGent and imec. The activities within the project will benefit from synergies with other projects in the group as well as with other activities in the department. The main supervisor will be Prof. Ruben Verborgh.
Deadline : Jun 30, 2025
(25) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
As part of the highly prestigious ERC Starting Grant URENIMOD (Ultrasound for Remote Neuroimaging and Modulation), a Ph.D. position is available at Ghent University from September 2025. The project aims to develop a minimally to non-invasive treatment for focal epilepsy with ultrasound neurorecording, modulation, and deep reinforcement learning closed-loop control. The technology, developed through detailed computer simulations, will be validated with preclinical experiments. The candidate will be part of a multidisciplinary team working towards this objective at the 4Brain (www.4brain.be) and WAVES (www.waves.intec.ugent.be) research groups. The goal of the research is to work towards a doctoral degree.
Deadline : Jun 30, 2025
(26) PhD Degree – Fully Funded
PhD position summary/title: Doctoral fellow
- Making a detailed analysis of different lithic assemblages from the Final Palaeolithic and Mesolithic of the Belgian Meuse valley (taking into account typological and technological variability, changes in raw material preferences, as well as the spatial distribution of the finds within their respective find contexts). In addition, you will assist in a reappraisal of the chronological framework of these assemblages, in order to document the regional evolutions that took place in the lithic industries throughout the abovementioned period.
- Your research is moreover part of a broader FWO research project titled “Climate change and human response at the Pleistocene-Holocene transition in the Belgian Meuse basin (13,000-6000 cal BP) (Prof. Dr. Crombé, Prof. Dr. Vandendriessche, UGent; Dr. Sophie Verheyden, KBIN). Within the latter, speleothem formations are investigated using U/Th series dating and stable isotope analyses to gain a better understanding of the local climate and landscape changes that occurred in the Meuse valley and the impact they could have had on the prehistoric occupations.
- You will be employed as a PhD student at Ghent University. The abovementioned research will therefore always be carried out in view of obtaining a PhD degree
Deadline : Jun 30, 2025
(27) PhD Degree – Fully Funded
PhD position summary/title: Doctoral fellow
The Sustainable Systems Engineering (STEN) group of Ghent University welcomes a candidate for a full time PhD position on the carbon and material footprint assessment of demand-side measures in the region of Flanders. The PhD student will be involved in the Flemish funded (FWO) DEER project (Demand-side measures to Enhance well-being and foster Environmental footprint Reduction), involving academia, industry, governmental and non-governmental organizations.
To transition to a low-carbon circular economy, drastic carbon and material footprint reductions are key. The main strategies for these transitions have been focusing on the supply-side of the economy, for example stimulating technology development, technology improvements and efficiency gains. Demand-side measures focus on the consumption process of specific products by reducing, shifting or improving consumption. Thus far, these demand-side measures remain largely overlooked. However, according to the latest IPCC report, these demand-side measures have a very high potential to reduce our greenhouse gas emissions (40-70% in the field of housing, land transport and food). The DEER project will assess the impacts of specific demand-side measures in the field of thermal comfort and transport. For this, a specific carbon and material footprint target will be defined for these two systems to enable an absolute environmental sustainability assessment. These targets will be based on downscaled global or regional carbon and material footprint targets. The DEER project will quantify a minimal level of need fulfilment for these two systems, leading towards the definition of sustainable consumption corridors. Subsequently, the costs and consumer acceptance of these measures will be studied by the DEER project consortium. The DEER project will result in specific policy recommendations on how to implement the demand-side measures in the field of thermal comfort and transport with the highest impact and the lowest cost, both from an economic as well as from a consumer behavioral point of view.
Deadline : Jun 24, 2025
(28) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
Wireless audio streaming is omnipresent in many application domains: from listening podcasts on headphones and providing an assistive listening experience via hearing aids, to achieving audio distribution in venues. You will be performing research in the domain of wireless audio streaming, striving to deliver robust and uninterrupted wireless audio transfers.
- You study how to realize robust wireless audio streaming with minimal latency across large areas and in dynamically changing contexts. You explore new opportunities for wireless audio use cases enabled by the localization capabilities of wireless technologies. The focus will be on the wireless communication aspect of audio streaming, but complete end-to-end systems (e.g. considering codec settings) will be studied. Both Bluetooth Low Energy (LE Audio) and Ultra-Wideband are considered as wireless technologies.
- You implement the designed solutions on embedded hardware platforms and experimentally validate their performance. Experimental validation can be backed by modelling or theoretical assessments.
- You collaborate with IDLab colleagues working on audio processing. You work together with industry partners on challenging audio use cases and present your results during meetings.
- You publish and present results both at international conferences and in scientific journals, using open science practices.
- This research will lead to a PhD degree. Throughout the complete PhD period, you receive a full-time, attractive salary.
- You assist in limited educational tasks of the research group.
Deadline : Aug 31, 2025
(29) PhD Degree – Fully Funded
PhD position summary/title: Doctoral fellow
- At least 90% of your assignment will be spent on academic research in preparation of a doctoral dissertation
- You will process and analyze functional magnetic resonance imaging data acquired by our research partners with both standard and innovative protocols
- You will contribute to computational models of the BOLD signal and of the hemodynamic response
- You will disseminate your scientific results by means of, among others, papers, presentations, code repositories
- You will take part in departmental activities, which might include teaching and exam supervision, for a limited percentage of time
Deadline : Jun 30, 2025
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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