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
In the LCP group of Ghent University (lcp.elis.ugent.be) we have a long history of modelling and testing electrophoretic motion of particles in polar and nonpolar liquids. Our goals are to understand the underlying physical mechanisms and to develop or improve new technologies based on this knowledge, such as electronic ink displays, smart windows, manipulation of particles at the microscale and electrodeposition. In recent experiments and prototypes we noticed that phenomena occur that cannot be explained by the one-dimensional models that we developed and commonly use. The PhD candidate will continue our recent research in these new phenomena by designing and creating new microstructures that highlight the observed novel effects and that lead potentially to promising new applications. The experimental work is accompanied by theoretical and computer modelling. A performant model will allow a more realistic simulation of electrophoretic systems, widening our understanding of the phenomena and enabling the improvement of current designs and or development of new designs.
Deadline : Sep 30, 2024
(02) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
Our Medical Cell Biology group is looking for a motivated and enthusiastic PhD student to carry out research on the role of cardiac fibroblasts in stem cell derived heart models of Marfan syndrome. The research is part of an FWO funded research project investigating the link between fibroblasts and cardiomyocytes in different cardiomyopathies.
Your research will contribute to the development of new clinical applications in the personalized treatment of cardiovascular diseases. You will be part of an interdisciplinary research team consisting of physicians, engineers and biomedical researchers.
We offer a PhD scholarship for one year, which will be extended with another three years after positive evaluation, according to the general conditions at Ghent University. The earliest possible starting date is 01.06.2024.
All Ghent University staff members enjoy a number of benefits, such as a wide range of training and education opportunities, 36 days of paid leave, bicycle commuting reimbursement, etc. Click here for a complete overview of all the staff benefits.
Deadline : Apr 15, 2024
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(03) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
The research group Materials Science and Technology-DyMaLab is looking for a PhD researcher to contribute to ongoing research on advanced materials used by the automotive and aeronautical industry. These materials include advanced high strength steels, lightweight alloys, polymer composites, nanocomposites, etc. which might be prone to impact or, more generally, high speed deformation processes. Main aim of the PhD is to obtain an enhanced understanding of the impact-dynamic mechanical properties of materials, including the microstructural factors lying at the origin of the observed behaviour. Understanding these properties will result in a better prediction of high speed forming processes, the crashworthiness of car components and impact incidents in the aeronautical industry.
MST-DyMaLab is a research group of the faculty of Engineering and Architecture of Ghent University, which is among the top 100 global universities according to several international rankings. To characterise the dynamic behaviour of materials, DyMaLab disposes of experimental facilities and measurement devices that are unique in the world (see https://mst.ugent.be/dymalab/research/). The introduction of highly advanced measurement methodologies, including high-speed full-field deformation measurements, has opened a world of new opportunities. It even allows for a paradigm shift in material testing. Indeed, by combining large measurement datasets with numerical simulations, Material Testing 2.0 methodologies allow to completely discard traditional test restrictions and assumptions. In the framework of present PhD, we would like to further explore Materials Testing 2.0 for advanced automotive and aeronautical materials. The ultimate objective is to develop significantly more efficient testing methodologies, optimizing both time and human resources, to yield comprehensive data on material properties. The aim is to enhance the depth of information obtained through testing schemes, thereby advancing our understanding of material characteristics.
Deadline :Jun 30, 2024
(04) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
This vacancy aims to select a PhD researcher having a materials (metals) engineering background. This researcher will work on the investigation of slag conductivity. In both an Electric Arc Furnace (EAF)and Electric Submerged Furnace (ESF), the slag conductivity is an essential property. Both types of furnaces will be essential to answer to the future steel demand: EAFs will be used for increased scrap usage and high-grade-ore-based DRI (produced via H2 reduction) and ESFs will be used to melt the H2 direct reduced low- and medium-grade ores. For the EAF, electrical conductivity influences the arc efficiency and the electrode consumption. For the ESF, it influences the Joule heating effect, essential in this kind of furnaces. Unfortunately, slag conductivity is under-reported in literature and measuring it requires a very specific set-up. The latter is available in the laboratories of our research group and allows very accurate measurements of slag conductivities for a wide range of compositions. Both compositional and temperature influences can be measured with the set-up for the specific range of compositions relevant for the process under investigation. In this PhD, main focus will be on experimental work, which you will complement with modeling efforts when needed. As such you will contribute to the development of the steel production routes of the future.
Deadline : Apr 01, 2024
(05) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
Join our pioneering team in unraveling the pathophysiology of Marfan syndrome, making critical strides towards innovative treatments. We are looking for a highly motivated researcher with a background in immunology and an interest in genetics and cardiovascular disease, who will work under the supervision of Prof. Dr. Julie De Backer and Prof. Patrick Sips (https://www.ugent.be/ge/biomolecular-medicine/en/research/research-labs/htad-lab/overview.htm).
Marfan syndrome is a heritable connective tissue disease caused by (likely) pathogenic variants in the gene coding for fibrillin-1 (FBN1). Patients with Marfan syndrome typically develop thoracic aortic aneurysm, increasing the risk of potentially lethal dissection and rupture of the aortic vessel wall. However, the exact mechanisms leading to thoracic aortic disease in Marfan syndrome are not completely understood. As a result, no causal cure is available for Marfan syndrome – current treatment is limited to supportive therapy with beta-blockers and/or angiotensin receptor blockers, and aortic root replacement surgery when the aortic diameter exceeds a predefined clinical threshold. Although surgical repair reduces the risk of lethal dissection and rupture, this procedure inherently carries a large risk of complications.
In our group we have been studying different mouse models to gain a better understanding of the pathophysiological processes leading up to the cardiovascular manifestations associated with Marfan syndrome. Our latest results indicate that immune cells play a role in the early development of thoracic aortic damage in the setting of fibrillin-1 dysfunction (please refer to our latest publication on this topic: https://pubmed.ncbi.nlm.nih.gov/37683955/; the full-text can be shared upon request).
To gain a deeper understanding of the role of immune cells in the initiation of thoracic aortic disease, we plan to study different mouse models with genetically engineered defects in the fibrillin-1 gene. This study will be performed in close collaboration with the group of Prof. Yanagisawa from the University of Tsukuba, Japan. We expect that this work will lead to the discovery of new potential treatments and/or biomarkers for aortic disease in Marfan syndrome. Based on these insights, the candidate’s work could lead to breakthroughs in the treatment of Marfan syndrome and improve patient lives.
Deadline : Apr 05, 2024
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(06) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
- This position is dedicated to research into pathophysiology of mitochondrial disorders. These are rare disease with a prevalence of 1/5000 individuals, but often carry a high disease burden. During the two last decades, diagnosing these disorders has become much more easy, partly due to progress of genetic diagnostic techniques. However, there is still much to unravel about pathophysiology and certainly about possible treatments for these diseases.
- The aim of this PhD project is to establish a zebrafish model for a specific subgroup of mitochondrial disorders, namely aARS2 deficiencies. This involves collaboration with the Zebrafish core facility, led by Professor Paul Coucke.
- It is expected that you can handle laboratory animals, in this case zebrafish, and that you have experience with CRISPR-Cas and genetic sequencing techniques. Behavioral observations as well as microscopic techniques will be applied to genetically modified zebrafish. On the other hand, biochemical analyzes (spectrophotometry, oxygen consumption, western blotting, BN-PAGE) will have to be carried out. Experience with these techniques is certainly of added value. If certain techniques are not yet known, we can certainly provide training in this area
- After successful implementation of the model organism, therapeutic strategies can also be evaluated and their outcome assessed, using the same techniques as mentioned above and possibly via omics analyzes such as transcriptomics and proteomics
- The finality of the research program involves obtaining a doctoral degree.
Deadline : Jun 30, 2024
(07) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
A holistic approach to resource recovery from organic waste is critical for a successful bio-based circular economy in which anaerobic digestion for biogas production plays a central role. Currently, biogas is used for electricity production or upgraded to biomethane. In this project, we will consider a novel value chain for biogas towards the production of the high-value microbial biomass rich in protein or “microbial protein” towards animal feed and even food applications, using a specific microbial consortium that can use methane and/or carbon dioxide as carbon source. We will produce the microbial biomass, harvest it, process it, and use it for inland different feed trials. In this project we will, thus, create a novel valorisation route for biogas through the indirect conversion of organic waste into feed & food. A key emphasis will be placed on the operation of gaslift bioreactors at the lab-scale and pilot-scale.
Deadline : Apr 30, 2024
(08) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
The Ghent University research group 4BRAIN (headed by Prof. dr. Paul Boon, Prof. Dr. Kristl Vonck and Prof. Dr. Robrecht Raedt) has a vacancy for a researcher interested in clinical research in the field of Brain Health.
The researcher will join our translational research team and will be supported on a daily basis by a team of Clinical and Research Professors.
Deadline : Apr 01, 2024
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(09) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
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.
Deadline : Feb 15, 2025
(10) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
As a PhD student at Ghent University, you will join the ERC-Consolidator Grant project ‘’ A New Connoisseurship: Smart ways to detect forgeries (ARTDETECT 2024-2028) (https://research.ugent.be/web/result/project/9c25c11e-9c48-49b9-ae44-5b57f8a0f364/details/en)’, under the leadership of the principal investigator, Professor Anna Tummers. The project is focused on developing novel approaches to detect forgeries. The team will consist of seven members who will collaborate closely.
Apart from recent forgeries, the ARTDETECT team will also explore early modern forgeries and the possibilities of using smart tools for the detection of these. PhD project 1 is focused on European painted forgeries created in the 15th–17th century. It consists of in-depth analyses of circa six (suspected) early modern forgeries and circa twelve reference works with the aim of understanding these in their art historical context and to identify significant anomalies in collaboration with the team’s research conservator and other relevant specialists. This PhD project will be supervised by the principal investigator and co-supervisors Prof. Geert Van der Snickt and Prof. Koen Janssens.
Deadline : Mar 22, 2024
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(11) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
IDLab is a core research group of imec, a world-leading research and innovation hub in nanoelectronics and digital technologies, with research activities at Ghent University. IDLab performs fundamental and applied research on data science and internet technology, and is, with over 300 researchers, one of the larger research groups at imec. Our major research areas are machine learning and data mining; semantic intelligence; multimedia processing; distributed intelligence for IoT; cloud and big data infrastructures; wireless and fixed networking; electromagnetics, RF, and high-speed.
The activities of the Ph.D. position are embedded in this stimulating environment with a focus on data-efficient machine learning (or surrogate modeling) techniques to solve complex problems in science and engineering. The proposed Ph.D. research is defined within the context of several national and international research projects on Automation in Machine Learning (AutoML).
As a Ph.D. candidate, you will extend and use machine learning algorithms such as generative models, neural networks, Gaussian Processes, Bayesian optimization, and more to solve challenging problems in science and engineering. You will take part in the daily operation of the research group and participate in collaborative research with industrial and academic partners. Furthermore, you will publish your research results at major international conferences and in journal papers, as part of meeting the requirements for your Ph.D.
Deadline : Jul 31, 2024
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(12) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
The “WAVES” research group (http://www.waves.intec.ugent.be/) is the expertise center of the Department of Information Technology of Ghent University/IMEC in Belgium for physical-layer research of advanced wireless networks, bioelectromagnetics, and measurements, simulations and modeling of the radio channel and electromagnetic exposure of current and future wireless networks.
Function description
5th and 6th generation wireless networks use techniques as beamforming, massive antenna systems, distributed systems, and new spectrum bands to realize ubiquitous connectivity. The resulting radio-frequency (RF) electromagnetic (EM) fields enable us with connectivity and wireless communication. However, people are exposed to the EM fields of these networks, and governments and the general public are worried about possible health effects when being exposed during long periods of time.
Deadline : Mar 31, 2024
(13) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
Hard X-ray ptychography is one of the most advanced microscopy techniques to visualize materials in structures in 3D at a spatial resolution better than 100 nm. However, the technique is currently only available at synchrotron facilities, with very limited availability. In this project, we aim to bring hard X-ray ptychography to laboratory facilities. This project is an international collaboration between Ghent University, University College London (UK) and the Diamond Light Source (UK) and brings together different expertise and possibilities for experiments.
We are looking for an enthusiastic student keen on working on developing both hardware and software aspects of this novel technique. As a PhD student working on this project, you will set up experiments at different types of state-of-the-art X-ray sources and detectors, in different facilities (synchrotron and laboratory) and you will develop methods to improve the acquisition and processing/analysis of the data.
The selected candidate will be offered a 4-year employment, with an intermediate evaluation after the first year (1+3 years). The salary is competitive and will be determined by the university salary scales. In addition, staff members can count on several benefits, such as a broad range of training and educational opportunities, 36 days of vacation leave, bicycle allowance, and more. The finality of the position is to obtain a doctoral degree.
Deadline : Aug 31, 2024
(14) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
The IDLab Ghent research group is seeking a highly motivated and talented PhD student to join the distributed machine learning team. Our team focuses on developing efficient machine learning algorithms for perception and control; with diverse applications in industry, robotics, remote sensing and agriculture. As part of our ongoing research, we identified a trend towards adaptive techniques for deep neural networks. These techniques dynamically adjust the computational cost of processing new input samples, based on factors such as input complexity, desired accuracy, or remaining battery capacity. This approach, compared to traditional architectures with fixed inference paths, proves to be more efficient in terms of latency and energy consumption, especially for resource-constrained devices like embedded compute platforms on drones and robots. As these devices operate in diverse or changing conditions, the models should support some sort of adaptive inference paths with early-exit mechanisms, or continuous learning mechanism to adapt to changing input data distributions and conditions.
Deadline : Aug 31, 2024
(15) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
As a PhD student at Ghent University, you will join the ERC-Consolidator Grant project ‘A New Connoisseurship: Smart ways to detect forgeries (ARTDETECT
2024-2028)’ (https://research.ugent.be/web/result/project/9c25c11e-9c48-49b9-ae44-5b57f8a0f364/details/en), under the leadership of the principal investigator, Professor Anna Tummers. The project is focused on developing novel approaches to detect forgeries. The team will consist of seven members who will collaborate closely.
PhD project 2 is an in-depth study of craquelure patterns, both natural and artificial, using relevant examples, mock-ups, high resolution imaging, visual and chemical analyses. The aim is to define what characteristics and patterns are particularly distinctive and why. A special focus will be on significant anomalies that betray artificial ageing. As the creation of mockups and the interpretation of craquelure patterns requires not only art historical expertise but also in-depth conservation and restoration expertise, the Ph.D. candidate will be jointly supervised by the principal investigator and by Prof. dr. Ella Hendriks (University of Amsterdam).
Deadline : Mar 22, 2024
(16) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
Ghent University is seeking a candidate for a PhD position to research high-frequency electronic integrated circuits which will be co-designed and co-integrated with complementary photonic integrated circuits for next-generation frequency-modulated continuous-wave (FMCW) LiDAR transceivers.
Light Detection and Ranging (LiDAR) is a 3D sensing technology based on laser light to measure the distance between an object and the sensor that holds great promise for allowing autonomous machines to see and navigate the world with very high precision. Typically, LiDAR designs comprise a multitude of moving parts (e.g., an assembly of lasers, optics, electronics, and detectors) on a mechanically rotating stage. The need to assemble and align all these parts leads to high costs and relatively low manufacturing volumes, while the wear and tear on the mechanical components limits long-term reliability, and all these factors have been hindering a wide adoption of this technology. To solve these problems, one of the big trends that industry is witnessing is the drive to higher levels of integration enabled by semiconductor technologies, and the move away from discrete and mechanical components.
The PhD student will participate in an international team in an EU-funded Doctoral Network project called NiteLiDAR. The project consists of 10 PhD students at 3 universities, an international R&D organization, and a company. The project has partners from four different EU countries. All 10 Phd projects are within the overall theme of photonic and electronic integrated circuits for next-generation LiDAR technologies.
Deadline : Mar 15, 2024
(17) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
imec is a world-leading research and innovation hub in nanoelectronics and digital technologies. By leveraging our world-class infrastructure and local and global ecosystem of partners across a multitude of industries, we create groundbreaking innovation in application domains such as healthcare, smart cities and mobility, logistics and manufacturing, and energy.
As a trusted partner for companies, start-ups and universities we bring together close to 4000 brilliant minds from over 97 nationalities. Imec is headquartered in Leuven, Belgium and also has distributed R&D groups at a number of Flemish universities, in the Netherlands, Taiwan, USA, China, and offices in India and Japan. All of these particular traits make imec to be a top-class employer.
IDLab research group @ Ghent University/ imec
The Internet Technology & Data Science Lab (IDLab) is an imec research group at Ghent University and the University of Antwerp. IDLab focuses its research on internet technologies and data science. Bringing together more than 300 internet experts, we develop technologies outperforming current solutions for communication subsystems, high speed and low power networking, distributed computing and multimedia processing, machine learning, artificial intelligence and web semantics. IDLab has a unique research infrastructure used in numerous national and international collaborations.
IDLab collaborates with many universities and research centers worldwide and jointly develops advanced technologies with industry (R&D centers from international companies, Flanders’ top innovating large companies and SMEs, as well as numerous ambitious start-ups).
Techno-economics @ IDLab
Deadline : Mar 31, 2024
(18) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
The Department of Industrial Systems Engineering and Product Design of Ghent University at Campus Kortrijk is recruiting a Ph.D. student to join its Industrial Systems Engineering (ISyE) group. With an application-oriented mindset, the team designs and develops wireless communication solutions for applications in the Industry 4.0 domain. Specifically, this Ph.D. position aims to address network challenges for teleoperation and control using haptic feedback in the Tactile Internet paradigm. Based on solid expertise in mathematical and experimental aspects of communication theory, wireless communication solutions for 5G/6G will be developed and validated on real-world network platforms.
Deadline : Mar 15, 2024
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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