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 Researcher on multimodal & knowledge-grounded dialogue systems
The IDLab Ghent research group seeks a highly motivated and talented PhD student to join the Text-to-Knowledge (T2K) team. The T2K team has worked for many years on natural language processing tasks (NLP), initially mostly on advanced information extraction, but recently also covering other topics, such as conversational agents.
In this PhD you will focus on designing new conversational AI models, based on recent foundation models. The key research question is how these state-of-the-art language models (including multi-modal versions) can be leveraged and adapted to create an AI-powered voicebot in a recruiting context. Key challenges are to achieve (1) controlled adaptation of the question sequence in the conversation; (2) personalization of dialog flow as well as language; and (3) improving engagement to ultimately limit drop-out of potential candidates. As an underlying building block to address (1) and (2), it is crucial to be able to incorporate external knowledge, in terms of domain knowledge (e.g., specific vocabulary, ontologies of skill sets and/or job titles), and conversation-specific information (e.g., on the interviewee, the organization, a predefined conversation structure). A second aspect, pertaining to both (2) and (3), is to control the bot’s language generation for (cultural/gender) bias, sentiment, etc.
Deadline : Apr 30, 2025
(02) PhD Degree – Fully Funded
PhD position summary/title: PhD Researcher for next-generation WiFi chip design on Software-Defined Radio
The IDLab Ghent research group is seeking a highly motivated and talented PhD student to join the Software-Defined Radio (SDR) research team. Digital communication plays a pivotal role in professional environments, supporting both persons, machines to interact with each other over a communication network. In professional environments, such as industry automation (industry 4.0), communication becomes increasingly diverse, and demands more reliable and time-critical end-to-end wireless connectivity, that can seamlessly adapt to dynamic environments and application needs. What is also lacking in today’s wireless network is uniform coverage, users often rely on connection to a specific access point, and performance varies when moving around. The next generation Wi-Fi needs to support distributed and coordinated AP architectures, whereby multiple APs can simultaneously serve a single user with coherent beamforming. In short, we want to advance wireless communications to the next level on these aspects: uniform coverage, end-to-end latency, time synchronization accuracy among distributed applications across diverse network segments, reliability/QoS for high-priority and safety-critical traffic. Today, we are far from achieving that vision, as most research is limited to theoretical or simulation studies, ignoring real-world impairments. Individual access points produced by different vendors rarely cooperate, features such as coherent beamforming among different access points have great potential but cannot be realized in real-life.
Deadline : Feb 15, 2025
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(03) PhD Degree – Fully Funded
PhD position summary/title: PhD position IC design for FMCW LiDAR
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.
Deadline : Jan 31, 2025
(04) PhD Degree – Fully Funded
PhD position summary/title: — Researcher for ‘Artificial Intelligence with a focus on decision making and recommender systems’ at UGent/imec – INTEC – WAVES —
The “WAVES” research group (http://www.waves.intec.ugent.be/) of the department of Information technology of imec-Ghent University is the expertise center in Belgium for decision making, recommender systems, personalization and information filtering (which are subtopics in the research domain of machine learning).
Current research within the WAVES group is focused around the recent trends emerging in the current online and offline world where users have to cope with an overload of information (blogs, social networks, audio-visual content providers, …). At the same time, we observe that the presence on the web becomes more personal and online identity and activities gain importance. As a result, assisting and adaptive intelligent software tools and techniques get an increasingly important role in online services. Tools for decision making assistance are emerging to process the vast amounts of data and provide the human decision maker insights into the data to make the optimal decision. One type of tools for decision making assistance is a recommender system. Recommender systems are commonly-used solutions that generate personal suggestions for users based on their preferences, thereby alleviating the problem of information overloa
Deadline : Jan 31, 2025
(05) PhD Degree – Fully Funded
PhD position summary/title: TW11 – Department of Materials, Textiles and Chemical Engineering
- UGent-MMS is partner in a large research project with several leading companies in the automotive industry. This research project aims at developing composite solutions for future hydrogen storage tanks. This PhD vacancy is focused on the use of guided elastic waves for the structural health monitoring of hydrogen tanks under different operational conditions. This involves instrumentation, signal acquisition and -processing, feature extraction and learning algorithms to assess the structural condition of hydrogen storage tanks. Further, a probabilistic framework will be developed to predict the remaining useful lifetime of hydrogen tanks from the guided wave signals.
- The PhD researcher will also closely work together with the other doctoral and postdoctoral colleagues that work on composite hydrogen tanks, to form a strong and complementary team for this highly challenging research topic.
Deadline : Jan 31, 2025
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(06) PhD Degree – Fully Funded
PhD position summary/title:
- Belgium has been taking a leading position in the transition towards a hydrogen economy thanks to many companies and research institutes active in hydrogen technologies. In addition, Belgium has currently the second largest hydrogen pipeline network in the world and has a strategic position in Western Europe as an import and transit hub for renewable H2 molecules.
In the context of these global and local evolutions, Ghent University (UGent) focuses on an important link in the future hydrogen economy, being the storage of hydrogen in pressurized composite tanks, both in the vehicle itself as in refueling stations. Indeed, the success of hydrogen fuel cell vehicles depends both on the development of safe storage options in the vehicle, as well as a supporting refueling infrastructure. - UGent-MMS is partner in a large new research project with several leading companies in the automotive industry. This research project aims at developing composite solutions for future hydrogen storage tanks. This PhD vacancy is focused on the experimental characterization of composites for hydrogen tanks. This includes measurement of physical and mechanical properties, instrumentation and data acquisition on full tanks and assessment of solutions for Structural Health Monitoring. The research will be done in close collaboration with the involved industrial partners.
Deadline : Jan 31, 2025
(07) PhD Degree – Fully Funded
PhD position summary/title:
The ERC research project “MIGJUST: Global Migration Justice: Beyond conflicting approaches to migration in international human rights law” (ERC-AdG-2023- 101141743) is seeking to fill three PhD positions. This document concerns the vacancy for research on the African Commission and Court of Human and Peoples’ Rights.
The key hypothesis of MIGJUST is that there is a fundamental conflict in human rights case law on migration between the human rights approach, adopted by the Inter-American Court and Commission of Human Rights and the African Court and Commission of Human and Peoples’ Rights, and on the other hand the sovereignty approach of the European Court of Human Rights. The difference is also at work in the case law of the UN human rights bodies. The two approaches are reflected in, and are in turn reinforced by, political theory on migration justice. In academic studies, the conflict has not been noted because the case law of the European Court of Human Rights is considered to constitute the most developed version of international human rights law. The conflict between the two approaches is problematic because it goes against the international character of international law and hinders international cooperation. MIGJUST will address this problem by:
- analysing the under-studied case law of the Inter-American, African and UN human rights bodies;
- carrying out a comparative analysis of the European, Inter-American, African and UN case law in the field of migration;
- relating the varying positions to political theory on migration justice; and
- developing methodologies to resolve the doctrinal conflict.
Deadline : Jan 12, 2025
(08) PhD Degree – Fully Funded
PhD position summary/title: RE22 – Department of European, Public and International Law
The key hypothesis of MIGJUST is that there is a fundamental conflict in human rights case law on migration between the human rights approach, adopted by the Inter-American Court and Commission of Human Rights and the African Court and Commission of Human and Peoples’ Rights, and on the other hand the sovereignty approach of the European Court of Human Rights. The difference is also at work in the case law of the UN human rights bodies. The two approaches are reflected in, and are in turn reinforced by, political theory on migration justice. In academic studies, the conflict has not been noted because the case law of the European Court of Human Rights is considered to constitute the most developed version of international human rights law. The conflict between the two approaches is problematic because it goes against the international character of international law and hinders international cooperation. MIGJUST will address this problem by:
Deadline : Jan 12, 2025
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(09) PhD Degree – Fully Funded
PhD position summary/title:
The ERC research project “MIGJUST: Global Migration Justice: Beyond conflicting approaches to migration in international human rights law” (ERC-AdG-2023- 101141743) is seeking to fill three PhD positions. This document concerns the vacancy for research on the Inter-American Commission and Court of Human Rights.
The key hypothesis of MIGJUST is that there is a fundamental conflict in human rights case law on migration between the human rights approach, adopted by the Inter-American Court and Commission of Human Rights and the African Court and Commission of Human and Peoples’ Rights, and on the other hand the sovereignty approach of the European Court of Human Rights. The difference is also at work in the case law of the UN human rights bodies. The two approaches are reflected in, and are in turn reinforced by, political theory on migration justice. In academic studies, the conflict has not been noted because the case law of the European Court of Human Rights is considered to constitute the most developed version of international human rights law. The conflict between the two approaches is problematic because it goes against the international character of international law and hinders international cooperation. MIGJUST will address this problem by:
Deadline : Jan 12, 2025
(10) PhD Degree – Fully Funded
PhD position summary/title: PhD position in quantum networks using integrated devices
We are looking for one bright and motivated PhD student for CyberQ project. The project is financed by the Independent Research Fund Denmark, and it is a collaboration between IDLab – Ghent University / imec (Belgium), DTU (Denmark), SiPhotonicIC (Denmark), DFM (Denmark) and GlobalConnect (Northern Europe).
CyberQ is an ambitious research project focused on developing next-generation Quantum Key Distribution (QKD) systems that address challenges in scalability, performance, and practicality. In the modern digital age, secure communication is vital for global commerce, effective governance, and overall security. Traditional cryptographic techniques, though effective, are vulnerable to advancements in computing, especially the upcoming quantum computing era. QKD with AES encryption offers a robust, quantum-resistant solution. CyberQ targets enhancing the security of Continuous Variable (CV) QKD systems, refining multi-party protocols for broader network applications, and improving system resilience and miniaturization for widespread deployment. By identifying vulnerabilities and integrating higher levels of practical security, CyberQ paves the way towards fully device-independent CVQKD systems. CyberQ unites the leading expertise of six international partners and is funded by Innovation Fund Denmark.
Deadline : Dec 31, 2024
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(11) PhD Degree – Fully Funded
PhD position summary/title: PhD position on high-frequency cryptographically secure circuits
We are looking for one bright and motivated PhD student for TripleQ project. The project is financed by the Independent Research Fund Denmark, and it is a collaboration between IDLab – Ghent University / imec (Belgium), Alea quantum technologies (Denmark), DTU (Denmark), and DFM (Denmark).
TripleQ is an ambitious research and innovation project aiming to develop, test and validate secure, low-cost, and ultra-fast 10 Gigabits/second Quantum Random Number Generators (QRNGs) for next-generation cryptographic applications. In today’s highly digitalized societies, information security is crucial as the current cybersecurity infrastructure is under constant pressure from financially and politically motivated hacking. Moreover, the rapid development of quantum computing poses a significant threat, potentially breaking many existing cryptographic protocols and rendering current techniques obsolete. Quantum cryptography offers a solution, which relies on high-quality, certified randomness. Both classical and quantum cryptographic protocols depend on random numbers that are unpredictable to adversaries. TripleQ aims to create QRNGs with a high-security level rooted in the laws of quantum physics, making the technology compact, affordable, and ready for a range of applications. Funded by Innovation Fund Denmark, the project unites leading expertise from four academic and industry partners, working at the forefront of quantum cryptography.
Deadline : Dec 31, 2024
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(12) PhD Degree – Fully Funded
PhD position summary/title:
As a PhD student at Ghent University, you will join the ERC-Consolidator Grant project “Polymathy and Interdisciplinarity in Premodern Islamic Epistemic Cultures (KNOW)”, under the supervision of the principal investigator, Professor Islam Dayeh.
The KNOW project examines the interaction between scholarly disciplines in the post-formative period (1200–1800 CE), a time marked by the rise of new institutions of learning, the expansion of libraries, the establishment and integration of academic disciplines, and an increase in scholarly travel. These developments fostered interdisciplinary cooperation, competition, and conflict, shaping the intellectual landscape of the era. Previous scholarship on this period has generally focused on intellectual products (i.e., doctrines and texts) and has tended to project our contemporary disciplinary divisions onto the premodern period (e.g., humanities v. sciences; religious v. secular). The KNOW project departs from these approaches by focusing on epistemic processes and practices rather than products and artefacts. By applying the lens of polymathy and interdisciplinarity, the project seeks to reshape our understanding of the intellectual dynamics of this period. Interdisciplinarity refers to the interaction and exchange between disciplines, while polymathy describes the qualities of breadth, depth, and synthesis found in individuals engaged in interdisciplinary work.
Deadline : Dec 31, 2024
(13) PhD Degree – Fully Funded
PhD position summary/title:
We are looking for enthusiastic candidates to perform research on the development of experimentally validated and morphologically detailed computational models of the ultrasound-sensitive hippocampal formation. The models will include a comprehensive set of underlying ultrasound-neuron coupling mechanisms (e.g., mechanosensitive ion channels, radiation force induced membrane bending, intramembrane cavitation).
Two PhD positions are available:
1. Development of a computational framework and transducer/waveform design for ultrasound neuromodulation.
2. Modeling and optimization of acoustoelectric neurorecording (electrode arrays, decoding strategies, etc.).
Deadline : Dec 31, 2024
(14) PhD Degree – Fully Funded
PhD position summary/title:
Are you passionate about Machine Learning, AI, Computer Vision, and FAIR data management? Do you aspire to make a meaningful impact in Belgian and European heritage enrichment? Join our team AI4Heritage at IDLab Ghent University, and embark on an exciting journey to transform historical data into valuable insights and innovative AI apps with societal impact!
We are seeking a motivated candidate for a fully-funded PhD researcher position (1 year + 3 additional years after a positive evaluation) focused on applying advanced AI techniques (incl. LLMs, vision transformers, multimodal AI, etc.) to enrich and interact with data from the heritage domain.
Deadline : Dec 31, 2024
(15) PhD Degree – Fully Funded
PhD position summary/title:
We are seeking highly motivated and talented PhD students to join the AI-bioinformatics research cluster, with profs. Thomas Demeester, Jan Fostier, and Kathleen Marchal, combining their respective expertise in machine learning, high-performance compute in bioinformatics, and AI for biology.
The PhD fits within the recently launched imec Health Mission, a strategic research track aiming to advance the discovery and development of novel therapeutics over the next 10 years. IDLab Ghent is a key partner in the Health Mission, and leads the first mission project ADAPT (for “Affinity and Developability through AI for Protein Therapeutics”). ADAPT aims to develop AI-based models to design and optimize antibodies and nanobodies with high binding affinity and optimal developability properties, in a collaboration with several imec research groups and key industrial partners from the Ghent area specialized in nanobody technology.
Deadline : Dec 31, 2024
(16) PhD Degree – Fully Funded
PhD position summary/title:
The Gut-Liver ImmunoPharmacology Unit, in collaboration with the Hepatology Research Unit, is seeking a highly motivated PhD student for an innovative translational research project focused on liver diseases. In this project, you will play a crucial role in further unraveling the pathogenesis of chronic liver disease.
What You Will Do:
- Investigate the mechanisms underlying chronic liver diseases using human samples, animal models, and in vitro assays.
- Utilize a variety of techniques, including but not limited to:
o qRT-PCR
o ELISA
o Western blot
o Luminex
o Flow cytometry and FACS
o (Single cell) RNA-seq
Deadline : Dec 31, 2024
(17) PhD Degree – Fully Funded
PhD position summary/title:
The performance of industrial gearboxes often varies due to subtle manufacturing differences, lubricant property changes, assembly inconsistencies, and fluctuating operating conditions. These variations, even in gearboxes of the highest quality, can affect durability and NVH (Noise, Vibration, and Harshness) performance unless carefully mitigated. Traditional gear design approaches, governed by standards such as DIN 3990, ISO 6336, or AGMA 2001, fall short in addressing the impact of within-tolerance surface roughness, geometric deviations, and changes in lubricant properties. As a result, these factors significantly influence contact dynamics and overall gearbox performance.
To address these challenges, Ghent University, in collaboration with Flanders-Make and KULeuven, launched the research project Rolux. This project aims to develop innovative methodologies and simulation tools for designing robust, high-performance lubricated gearboxes. A central focus of the project is creating a precise yet computationally efficient Thermo-Elastohydrodynamic Lubrication (TEHL) solver for rough gear contacts using advanced modeling techniques.
Positions & Tasks – As a PhD candidate, you will lead the development of a highly reliable and computationally efficient code to simulate 2D/3D Thermo-Elastohydrodynamic Lubrication (TEHL) in lubricated contacts, particularly in gear meshes. Your work will involve implementing advanced discretization schemes and numerical algorithms to solve the complex, multi-physics problems of elastic deformation, fluid flow, and heat transport, all within a reduced-order modeling framework. The dual-use solver you create will function both as a standalone tool and as a plug-in for other software, maximizing computational efficiency through Parallel C/C++ implementation and leveraging existing scientific computing libraries (e.g., PetSC) and potential GPU acceleration.
Deadline : Dec 20, 2024
(18) PhD Degree – Fully Funded
PhD position summary/title:
You will conduct research in Swedish linguistics with the primary goal of obtaining a doctoral degree under the supervision of Prof. Andreas Widoff. The doctoral project will be part of the project “Space, polyvalence and domain-neutrality in the organisation of linguistic meaning”. You will be allowed to formulate independent research questions and research tasks that fall within the scope of this project.
Deadline : Dec 18, 2024
(19) PhD Degree – Fully Funded
PhD position summary/title:
We are looking for a motivated PhD student (1+3 years appointment) with an attractive salary. As a PhD student, you will spend at least 90% of your time conducting scientific research, other tasks include supporting the Department of Plant and Crops for research, education or services.
The research is part of the Horizon-RIA project FOODTURE, funded by the European government. This project focuses on a correct quantification of the sustainability of our food system. For your research, we want to investigate how we can use drones, equipped with specific sensors for air quality measurements, to measure emissions from agricultural activities and more specifically livestock farms. To do this, we will integrate sensors on our drones, program flights in such a way that we minimize disruption to the air flows, and compare our data with on-site measurements and with the modelled air pollution. The ultimate goal is to develop a new way to quickly and affordably monitor emissions from agriculture and thus improve and (partially) replace model-based estimates.
As a PhD student, you will be supported by a multidisciplinary team of researchers from Ghent University and ILVO. You will also work closely with the international partners of the European project.
Deadline : Dec 10, 2024
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(20) PhD Degree – Fully Funded
PhD position summary/title:
We are looking for a motivated PhD student (1+3 years appointment). As a PhD student, you will spend at least 90% of your time conducting scientific research, other tasks include supporting the Department of Plant and Crops and the Department of Environment for research, education or services.
The research is part of the Horizon-RIA project FOODTURE. This project focuses on a correct quantification of our food system. For your research, we will investigate how we can use remote sensing technology for a better estimation of the biodiversity and ecosystem functioning of small landscape elements (SLEs) in an agricultural landscape. To this end, we are building on our research on biodiversity in agricultural landscapes in Europe. In these areas, we will use remote sensing with drones and satellites to train new models that can characterize the small landscape features in more detail. In addition, we are investigating whether we can use thermal remote sensing to estimate the current state of these small landscape elements.
Deadline : Dec 10, 2024
(21) PhD Degree – Fully Funded
PhD position summary/title:
WP.1. Definition of a statistically representative set of dwelling geometries
Delghust et al. (2015) has proposed using parametric geometries to represent the variation of geometric features in dwellings without losing the consistency of the floor plan. This concept has already been successfully applied to study energy performance assessment of dwellings and the potential
of hybridGEOTABS to reduce CO2 emissions in non-residential buildings. This approach will be used to generate a statistically representative set of at least 5 common dwelling geometry models for the simulation of the performance of innovative residential ventilation concepts.
To be able to benchmark the performance of these systems, a consistent set of implementations for the traditional ventilation systems described in the Belgian standard NBN D 50 001, proposals for alternative designs of the flow path such as extended cascade ventilation (Rojas, 2015) as well as optimized designs for these concepts will be created for each of the dwelling geometries.
WP.2. Definition of a statistically representative set of boundary conditions and occupancy
Numerous approaches to generate statistically representative weather files have been reported in literature (e.g. Meteonorm), but typically yield results on an hourly basis. Since the relevant time scale for wind, buoyancy and occupancy conditions in residential buildings is likely on the order of a few minutes, this task will use wind gust analysis to produce high frequency stochastic weather files. The external disturbances for the controller will be estimated using short-term weather forecast models such as bin predictor and nonlinear models such as ANN which can provide near-perfect forecasting (see Oldewurtel et al., 2013, Florita & Henze, 2009). For the internal loads, the stochastic occupancy schedule and occupant activity generator defined by Verbruggen et al. (2020) will be extended to include pollutant sources.
WP.3. Stochastic multi-zone calculation method and associated method to check the performances
This task will use the new coupled airflow and energy simulation libraries within IBPSA project 1 (De Jonge et al. 2021) as the basis for a stochastic multi-zone calculation method. This model is then run with the boundary conditions defined in WP.2 until the means of each of the output variables have converged, similar to what has been proposed for the sensitivity analysis of building stock simulation by Van Hove et al. (2021) and using the concepts of resilience to develop relevant indicators.
WP.4. Simulation and evaluation NudgeFlow system
Using insights, knowledge and outcomes from all other tasks and work packages, a set of innovative ventilation concepts for each of the benchmark cases will be simulated in a virtual testbed. The performance of the system will be evaluated in comparison with that of the benchmark cases and extensively documented.
Deadline : Dec 08, 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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