Are you holding Master’s degree and ready to elevate your academic journey to the highest level? Ghent University, Belgium, has announced a multiple fully funded PhD positions awaiting talented individuals like you. Don’t miss your chance to be part of our vibrant academic community. Explore the exciting PhD positions available and submit your application today!”
Candidates interested in fully funded PhD positions can check the details and may apply as soon as possible.
(01) Fully Funded PhD Position
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 11 faculties and more than 80 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.
We are seeking a dedicated and qualified enthousiast to undertake research on sustainable wear-resistant eco-polymers, with a focus on finding green alternatives to PTFE (PFAS).
The investigation will focus on potential substitutional materials to PTFE and PTFE-containing polymer sliding machine elements and tribotechnical components. This reasearch aims to investigate the abrasive wear behavior, including wear micro-mechanisms, surface and micro-geometry changes along with other tribological properties such as friction in contact. Additionally, the study will explore wear particle generation and embedding characteristics. The research will be conducted under various pressure-velocity conditions, providing a basis for comparison. The goal is to offer comprehensive insights for effective polymer sliding element and tribotechnical component selection, as well as engineering design.
This position offers the opportunity to delve into polymer tribology and contribute to the advancement of environmentally conscious materials science. As part of our research team, you will have the opportunity to develop specialized skills in tribology and gain valuable experience in interdisciplinary research methodologies. You will meet and interact with several (international) companies working in this future-oriented domain.
Deadline : Sep 20, 2024
(02) Fully Funded PhD Position
PhD position summary/title:– PhD Student Causal Machine Learning
The Causal Inference research lab at Ghent University is seeking a highly motivated and talented PhD student to join its team. Ghent University has a long tradition of research in causal inference since the mid 90’s, and now has a vibrant causal inference community comprising over 20 statisticians dedicated to advancing this field.
This PhD position is one of multiple positions being opened in connection to Advanced ERC Grant ACME ‘Assumption-lean (Causal) Modeling and Estimation’. In an era where the focus on causal inference is increasingly turning away from modeling towards quantifying population-level intervention effects, there is a risk of oversimplifying causal queries and of neglecting the rich history and efficacy of statistical modeling techniques. This ERC project aims to bridge this gap by leveraging the flexibility and power of statistical models to accurately represent intervention effects or facets of the causal data-generating mechanism, integrating it with recent insights from debiased machine learning and causal inference. Besides laying foundations for a novel paradigm for causal/statistical modeling, this project seeks to enhance the robustness and efficiency of debiased machine learning methods. This PhD project will primarily focus on this latter component, in interaction with fellow researchers on this project.
Deadline : Sep 01, 2024
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(03) Fully Funded PhD Position
PhD position summary/title:– Doctoral fellow
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.
ABOUT IDLAB
The IDLab Ghent research group from Ghent University – imec in Belgium is extending its interdisciplinary research cluster focusing on artificial intelligence for bio-informatics, within a new collaboration project between academia and industry, focusing on the AI-driven generation and optimization of proteins for therapeutic purposes.
This vacancy encompasses 4 different PhD tracks within the same project, focusing on developing machine learning models and training strategies for the creation and adaptation of antibodies and nanobodies, with the following topics of focus:
– Topic 1: designing prediction models for the developability properties thermostability, spatial aggregation propensity, and sequence liabilities (with a strong focus on the application level),
– Topic 2: designing multi-objective guidance strategies of protein diffusion models for developability-aware generation (both fundamental and application oriented),
– Topic 3: design and training of energy-based models for unsupervised binding affinity prediction (mostly fundamental AI research),
– Topic 4: energy-based representation learning techniques for small molecules as drug candidates (more fundamental AI research).
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
(04) Fully Funded PhD Position
PhD position summary/title:– Doctoral fellow
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.
This PhD project will take place at Ghent University. Apart from the time at UGent there will be secondments at the Technical University of Denmark (DTU Electro) and at Bright Photonics, The Netherlands. There will also be common meetings with the other 9 PhD students in the doctoral network, including 3 training schools.
As a participant of the project, the PhD student will become part of the IDLab-Design team at UGent and imec with extensive expertise in the design and characterization of high-speed integrated circuits for optical transceivers in various applications. 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. Johan Bauwelinck.
Deadline : Aug 31, 2024
(05) Fully Funded PhD Position
PhD position summary/title:– PhD Student
The Ghent Institute for International and European Studies (GIES) is looking for a motivated researcher to pursue a four-year PhD project on European green industrial policy. You will develop a project that examines new policy initiatives in this domain through a political-economic or geopolitical lens.
We offer a full-time position for initially one year. Upon positive evaluation, the position can be extended for three additional years to allow the researcher to complete a PhD on the topic of the project within four years. You will work under the joint supervision of Prof. Thijs Van de Graaf and Prof. Ferdi De Ville (GIES). You will have the opportunity to follow trainings (including through Doctoral Schools), attend international conferences and spend a research stay abroad.
Below, we briefly introduce the problem statement of European green industrial policy and propose some possible research questions.
With the Green Deal Industrial Plan, the Net Zero Industry Act, and the Critical Raw Materials Act, the European Union (EU) has recently embarked upon green industrial policy, following other major powers such as China and the United States. Through green industrial policy, governments try to actively intervene in the structure of the economy to ensure that decarbonization goals go hand in hand with maintaining and strengthening industrial production and employment, and with greater energy security and strategic autonomy. This green industrial policy can be pursued through various types of instruments such as regulations, production subsidies, consumption incentives, public procurement, or trade instruments. Within the multi-level structure of the EU, these instruments can be deployed nationally or supranationally. The choice of instruments and the level at which they are implemented have different consequences for, among other things, the speed of decarbonization, the distribution of economic gains and losses between societal groups and member states and regions, public finances, the unity of the European single market, and the interests of third countries and their relations with the EU.
The doctoral project could, for example, map and explain which instruments at which levels the EU mainly employs in its green industrial policy, and what differences we observe between various green technologies (e.g., wind turbines, solar panels, and batteries). You could investigate the consequences of European green industrial policy for the speed of the energy transition, for growth and employment, and for energy security and strategic autonomy, and what trade-offs and contradictions arise. Alternatively, the project could focus on the external dimension of green industrial policy and investigate the impact on (relations with) other countries, and how the European Union tries to manage these external effects.
We invite candidates for this position to explore these questions or related topics. You will be encouraged to focus on the societal relevance of the project and to involve societal stakeholders in the research.
Deadline : Sep 01, 2024
(06) Fully Funded PhD Position
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 : Sep 30, 2024
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(07) Fully Funded PhD Position
PhD position summary/title:– Doctoral fellow
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
(08) Fully Funded PhD Position
PhD position summary/title:– Doctoral fellow
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
(09) Fully Funded PhD Position
PhD position summary/title:– Doctoral fellow
Our interdisciplinary research group is looking for a motivated and enthusiastic collaborator to conduct research on the importance of the hip capsule to support and assist lower limb motion. The research is part of an FWO research project that studies the impact of hip surgery on the integrity and function of the hip capsule. It concerns a doctoral track of 4 years.
The successful candidate will contribute to pioneering new clinical approaches tailored to the individualized treatment of musculoskeletal conditions. You will be part of an interdisciplinary research team consisting of physicians, engineers and biomedical scientists.
Deadline : Sep 01, 2024
(10) Fully Funded PhD Position
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.
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.
Deadline : Dec 31, 2024
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(11) Fully Funded PhD Position
PhD position summary/title:– PhD Student
Water resource recovery facilities (WRRFs) modeling is transitioning from conventional process models to digital twin (DT) applications. DTs are virtual replicas of physical systems that can dynamically simulate the operation of their physical counterpart in real time. A digital twin can be a valuable tool for operator training, online process optimization, scenario analysis, predictive maintenance, and so forth. Nevertheless, there exist only a handful of full-scale implementation of digital twins for WRRFs. In addition, most of them are uni-directional with an automated connection back to the physical system for online process optimization and monitoring.
Multi-objective optimization will be an inherent part of digital twins where maximum process efficiency at minimum use of energy and cost expenditure would be required. Specifically, it can provide insights on optimal operational conditions based on KPIs of the WRRFs including N2O emission, energy efficiency, operational cost, effluent quality, and removal efficiencies. Advanced control strategies including model predictive control (MPC) and reinforcement learning can be used to achieve that.
Data existence and quality are important requirements for a reliable digital twin and in particular for online process monitoring, control and optimization. Online sensors at WRRFs are usually prone to anomalies (e.g., noise, failure, drift, and bias), which can dramatically affect the quality and/or the performance of model simulations. Moreover, not all important variables of the system are usually measured. Model-based soft sensors combine simple available measurements with a process model and provide an indirect measurement for difficult-to-measure variables of the physical system. They can be powerful assets in advanced control systems and real-time process optimization. Mechanistic models (based on physical principles), data-driven methods (machine learning) or a combination of both (hybrid model) can be used for developing such soft sensors.
Deadline : Aug 30, 2024
(12) Fully Funded PhD Position
PhD position summary/title:– PhD Student
At least 90% of your assignment will be spent on academic research in preparation of a doctoral dissertation
– You have an interest in computational research that contributes to the development of innovative steel types.
– You will apply ab initio modeling (density functional theory, DFT) and artificial intelligence (training and using machine learning potentials) to improve the the segregation of solute elements in an iron matrix, including the role of defects and grain boundaries therein.
– You communicate both with (experimental) researchers from the steel industry, an with (computational) researchers from the field of materials physics. You translate the needs and the information of both groups for each other.
Deadline :Aug 27, 2024
(13) Fully Funded PhD Position
PhD position summary/title:– PhD Student
The research group Mechanics of Materials and Structures at Ghent University (UGent-MMS) has 4 vacancies for PhD research in the field of fibre-reinforced composites. The vacancies are linked to research on composite hydrogen tanks, micromechanical testing of composites and finite element modelling of textile connections.
Deadline : Sep 30, 2024
(14) Fully Funded PhD Position
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
(15) Fully Funded PhD Position
PhD position summary/title:– PhD Student
PhD student Causal Machine Learning
The Causal Inference research lab at Ghent University is seeking a highly motivated and talented PhD student to join its team. Ghent University has a long tradition of research in causal inference since the mid 90’s, and now has a vibrant causal inference community comprising over 20 statisticians dedicated to advancing this field.
This PhD position is one of multiple positions being opened in connection to Advanced ERC Grant ACME ‘Assumption-lean (Causal) Modeling and Estimation’. In an era where the focus on causal inference is increasingly turning away from modeling towards quantifying population-level intervention effects, there is a risk of oversimplifying causal queries and of neglecting the rich history and efficacy of statistical modeling techniques. This ERC project aims to bridge this gap by leveraging the flexibility and power of statistical models to accurately represent intervention effects or facets of the causal data-generating mechanism, integrating it with recent insights from debiased machine learning and causal inference. Besides laying foundations for a novel paradigm for causal/statistical modeling, this project seeks to enhance the robustness and efficiency of debiased machine learning methods. This PhD project will primarily focus on the foundations of an assumption-lean modeling paradigm, with a strong focus on the analysis of repeated measures outcomes, in interaction with fellow researchers on this project.
Deadline : Sep 01, 2024
(16) Fully Funded PhD Position
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 80 departments offering state-of-the-art study programs grounded in research in a wide range of academic fields, Ghent University is a logical choice for its staff and students.
The Centre for Synthetic Biology (CSB, www.csb.ugent.be) is part of the Faculty of Bioscience Engineering at Ghent University, a top 100 university in most rankings. CSB has a long tradition in in the application of synthetic biology for industrial biotechnology, particularly directed towards the biocatalytic synthesis of chemicals through either microbial fermentation or the use of isolated enzymes. The area of expertise includes the screening for novel biocatalysts (enzymes and micro-organisms), the optimization of fermentation strains through metabolic engineering, the engineering of enzymes through rational design and directed evolution, as well as process development, up-scaling, and downstream processing. Prof. De Mey leads a group of 8 PhD students and 5 postdocs and has a strong track-record in translating her basic research into real-life applications, including patents and spin-offs.
Deadline :Aug 24, 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.
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