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
Applicants will be working on the FWO-funded Large scale Infrastructure Walk-Through PET scanner project together with the current team of researchers (Jens Maebe, phD Meysam Dadgar, Florence-Marie-Muller, Maya Abi Akl and Boris Vervenne). The idea of the project is to design and test a light, compact and comfortable patient holder with video-instructions for minimal motion during fast 30 sec scans in a flat panel PET and limited angle CT. The patient platform will be designed-built by Comate but requires testing on volunteers and patients at academic hospitals. To further reduce remaining motion, there will be motion tracking which should allow to derive motion fields for correcting the reconstruction. Motion tracking will be done in collaboration with the Image processing group of Ugent and the VUB group of Prof. Jef Vandemeulebroucke.
Deadline : Oct 01, 2023
(02) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
Ghent University is a top 100 university worldwide and one of the major universities in Belgium, with more than 44000 students and 15000 staff members. At the department of Electromechanical, Systems and Metal Engineering, we have an open vacancy for a PhD researcher in the mechatronics research group at the campus Kortrijk. The research in our group focuses on modelling, control and optimization of the electromechanical and control aspects of industrial machines. Energy efficiency is critical to make these machines more sustainable. Related to this, accurate measurement and modelling of losses in drivetrain components is an important research topic, as it provides valuable information to improve both drivetrain design and operation. At the campus Kortrijk, we have a unique Calorimetric test setup infrastructure for accurate loss measurement, achieving a superior accuracy compared to conventional input-output measurements. The following video shows how the setup is built up: https://youtu.be/7mNPd3SIe64 We have opened a vacancy for a PhD researcher position with the topic ‘Online efficiency maximization of drivetrains using a Calorimeter in the loop’ under the supervision of Prof. Jeroen De Kooning and Prof. Kurt Stockman. The key novelty of the research is to use a Calorimeter in an iteration loop to obtain an accurately validated loss model, to quantify losses in dynamic operation and/or to optimize settings on the drivetrain. The main research challenges are to speed up the iteration process using new algorithms which make use of dynamic thermal modelling and Design of Experiments. In the past years, the research group in Kortrijk has built up critical expertise and laboratory infrastructure to support this PhD.
Deadline : Aug 25, 2023
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(03) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
Predictive Breeding is an ambitious research group that is focused on the development and application of data-driven plant breeding methods. This is a rapidly evolving domain of science that aims to integrate high-througpout phenotyping and genotyping technology to maximise the rate of genetic progress for traits of agronomic importance. In this respect, scientific advancement in the field of data-driven breeding is considered to be a pivotal catalyst for the short-term realisation of the European Green Deal ambitions and the transition towards a sustainable agrifood system. Your PhD research is centred around the concept of genomic selection which involves the prediction of the agronomic performance of plants directly from their DNA code. This selection technique allows to routinely screen the potential of thousands of plants before they even emerge from their seed. However, cost-effective application of genomic selection remains challenging and low-cost genotyping and phenotyping strategies are key to the cost-effective maximisation of genetic gain. Your role is to devise, evaluate and implement strategies for sparse genotyping and phenotyping. Your research activities will introduce you to various statistical and machine learning techniques, making this position an excellent opportunity to demonstrate and further improve your data analysis skills.
Deadline :Aug 31, 2023
(04) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
Soil biology is the new frontier in environmental sciences, and received overwhelming and ever increasing attention in recent years, but despite the rapidly evolving knowledge on soil biodiversity as such, its relation with crucial soil functions remains largely unexplored. The carbon (C) and nitrogen (N) cycles in soil are tightly coupled and determine crucial processes with respect to agricultural production (e.g. N availability) and to environmental problems (N leaching losses, emissions of the greenhouse gases CO2, N2O and CH4, C sequestration, …). It has been frequently suggested that soil microfauna (nematodes, protists) play a very important part in C and N cycling, but research in this field has largely ignored the role of microfauna and their interactions with plant roots, bacteria and fungi, mostly as a result of the phenomenal methodological challenges in this type of research. In the past decade, we have achieved breakthroughs in this field and we were e.g. the first to quantify the contribution of the entire soil nematode community in realistic soil conditions. In this project, we will set up unique multitrophic experiments controlling for the presence of specific trophic groups of nematodes and their combinations, to assess how herbivorous nematodes control rhizodeposition, how this root derived carbon cascades to the microbial community and to the bacterivorous and fungivorous nematodes, and the feedback mechanisms on plant (roots). To this end, we will use 13C stable isotope labelling to track the rhizodeposition as a function of time, and its redistribution over the soil decomposer community. We will monitor the evolution of root trait development using both destructive and non-destructive methods (X-ray computed tomography), and assess how the activity of microfauna controls this development, both directly and indirectly. We will also investigate how nematode trophic groups and their combination influence N2O emissions from soil, potentially leading to improved management to reduce N2O emissions. Finally, this project will produce unique data that should allow to critically evaluate existing soil food web models, and propose new concepts for such models, and that may allow to increase our prediction of N dynamics in biogeochemical simulation models.
Deadline : Aug 24, 2023
(05) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
We are looking for a motivated PhD student (1+3Y) for the UGent funded project ‘MesoMag: a geophysical perspective on Mesolithic land use in complex environments’, which is a collaboration between Ghent University, the University College Dublin, the University of Southampton and the Bulgarian Academy of Sciences. You will devote a minimum of 90% of your assignment to scientific research as part of doctoral dissertation preparation. The remaining time within your appointment you may be engaged to contribute to the general teaching, research and service tasks of the Department of Environment.
Deadline : Sep 29, 2023
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(06) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
We are looking for a PhD student for a research project on textile modelling and characterization. In this project, the main purpose is to develop a multi-scale textile modelling framework that allows accurate simulation of textile manufacturing processes such as yarn unwinding from a bobbin, weft insertion during weaving, stitching and tufting. Besides a strong numerical research focus, there is also an experimental research track focusing on advanced mechanical testing of textile materials and their connections, both on lab-scale and industrial scale (e.g. in-situ measurements on textile machines). Using techniques such as Digital Image Correlation and high speed camera’s we gain much better insights into the rate-dependent behaviour of different textile materials, ranging from yarn to fabric. These measurements will also serve as input to and validation of the numerical models. This PhD requires an experimentalist to do the mechanical characterization of textile materials and their connections at different scales. The PhD researcher will be part of a team of 4 researchers (3 PhD students and one postdoctoral researcher) who will all work on this large research project. You will work at the Department of Materials, Textiles and Chemical Engineering at Ghent University under prof. Lode DAELEMANS (Centre for Textile Science and Engineering, https://textiles.ugent.be) and prof. Wim VAN PAEPEGEM (Mechanics of Materials and Structures, https://composites.ugent.be). Ghent University is a large university in Belgium, counting about 45,000 students and consistently ranks among the best 100 universities in the world. The research group and its laboratories are situated in the Tech Lane Science Park in the south of Ghent (Technologiepark 70, 9052 Zwijnaarde). The campus is easily accessed by bike, bus or car.
Deadline : Sep 30, 2023
(07) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
Applications are invited to apply for a PhD candidate position to perform research in the field of translation technology at the LT3 – Language and Translation Technology Team at the Department of Translation, Interpreting and Communication at Ghent University. LT3 conducts fundamental and applied research in the domain of language and translation technology and has extensive expertise in the use of machine learning for a wide range of language technology problems, including machine translation, terminology extraction, word sense disambiguation, sentiment and emotion detection, and irony detection. With the exponential growth of multilingual content, there is an increasing demand for high-quality translation systems. The goal of this research is to contribute to the advancement of state-of-the-art neural machine translation (NMT) systems and address the challenges associated with multilingual communication. You will perform PhD research on retrieval-based NMT, which is a dynamic and thriving area of study within machine translation and machine learning. Retrieval-based approaches for machine translation aim to augment neural models by retrieving similar translations to a given input during training and/or inference times. As a PhD researcher, you will explore novel frameworks and methodologies to optimise the efficiency and accuracy of retrieval-based NMT systems. Due to their ability to effectively utilise similar translations, retrieval-based NMT can be seen as a leap forward in the integration of NMT and translation memory (TM) systems, which are commonly used in computer-assisted translation workflows, while blurring the distinction between the two technologies. This project further aims to use state-of-the-art NLP methodologies to improve NMT systems and TM-NMT integration strategies. Therefore, In addition to its scientific value, the proposed research has social and economic valorization potential, which can reshape today’s translation and post-editing practices.
Deadline :Aug 29, 2023
(08) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
Urban areas in low-lying coastal zones are typically protected from flooding due to storm surge and waves by a hybrid soft-hard coastal defence structure. Such structures combine a mild-sloped beach (soft structure) and a steep-sloped dike (hard structure). For smaller water depths on the beach (shallow water case), a surf and swash zone starts to develop in front of the dike toe. In this zone, short waves (ss) reduce in wave height by wave breaking, while longer waves or “infragravity (ig) waves” increase in wave height due to shoaling and energy transfer from the ss waves. The ig wave-related processes have a highly significant, but insufficiently investigated effect on the wave overtopping. The research aims at gaining more (quantitative) insight into the influence of ig waves on these processes and in how they can be taken into account in the design of a hybrid beach-dike coastal defence system. The research project is funded by the Research Foundation – Flanders (FWO), and the research consortium is composed of research groups at Ghent University, KU Leuven and Flanders Marine Institute. This vacancy pertains to research tasks carried out at the project coordinator Ghent University.
Deadline : Aug 20, 2023
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(09) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
This research proposal addresses the broader topic of how legal proceedings, specifically arbitration proceedings, have evolved and will continue to evolve with the advent of new technologies. The digital revolution has introduced several technological innovations in international arbitration. However, the focus of current use of technology in arbitration practice seems to be limited to migrating offline communications to online platforms and exploring data-based tools.
Despite these initial steps toward digitalization, there is a consensus that much untapped potential remains. The primary challenge lies in striking the right balance between efficiency and safeguarding the parties’ fundamental procedural rights. This proposed research aims to pave the way for further implementation of technology by examining the diverse ways in which technology could enhance arbitration. It also seeks to determine to what extent this can be reconciled with prevailing procedural and technology law norms. By doing so, we aim to challenge the current cautious policies of major arbitration stakeholders and significantly reduce costs and processing time in the thousands of arbitration procedures initiated each year. The research will rely on empirical research as well as traditional legal methodology, with the need for technological exploration and input.
Deadline :Aug 31, 2023
(10) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
Our research group currently is involved in research projects in the energy domain, including mostly smart grid applications. The focus of our AI4E team in these projects is on data analytics, as well as coordination algorithms for, e.g., demand response. A major objective of the applications we want to support is to accommodate large penetration of renewable sources (wind mills, solar panels, etc.) without requiring excessive investments in the power grid infrastructure. This involves characterizing and eventually predicting both power generation (from renewables) and consumption behavior (and its flexibility, e.g., what portion thereof can be shifted in time), using data analytics techniques, constructing generative models, applying machine learning, etc. The next step is to actively control power consumption, e.g., by developing algorithms for energy management systems (to steer power consumption and/or decide what to use local production for, e.g., push into the grid or local storage). Your role in these projects will be to devise and evaluate cutting edge algorithms, implement them, evaluate them in case studies and report on the results in a well-structured manner. Additionally, depending on the project, this may also involve the design/implementation of software prototypes for simulation and proof-of-concept demonstrations (in lab settings, but also in live field trials). You will have the opportunity to interact and collaborate with researchers and engineers from other universities, research institutes and/or companies. As you will be dealing with several aspects of designing and evaluating systems (mathematical models, machine learning, optimization techniques, software development, simulation, etc.), the function is an excellent opportunity to demonstrate and further improve several of your mathematical and engineering skills.
Deadline :Dec 31, 2023
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(11) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
Our interdisciplinary research group is looking for a motivated and enthusiastic doctoral researcher to conduct research on mechanical profiling of orthopedic patients. The research is part of an FWO research project that studies the link between genetic predictors and biomechanical effects at the level of the lower limb. It concerns a doctoral track of 4 years.
Your research contributes to the development of new clinical applications within personalized treatment of musculoskeletal disorders. You will be part of an interdisciplinary research team consisting of physicians, engineers and biomedical researchers. We offer you a full-time PhD scholarship for 4 years (coupled to a positive evaluation after the first year), starting 01/10/2023 the earliest. 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. For complete overview of all the staff benefits check: https://www.ugent.be/en/work/talent/considering#Employeebenefits
Deadline :Sep 01, 2023
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(12) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
Ghent University is a world of its own. Employing more than 8,000 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. Moreover, the highly attractive city of Ghent is located at the heart of Europe and unfolds as a cultural and historical hub with a vibrant student lifestyle.
Deadline : Aug 25, 2023
(13) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
The water sector is under increasing pressure worldwide. To ensure water security and sustainable development, major paradigm shifts are in progress. A first important shift is the transition towards a circular water and resource economy. This transition is inherently a multidisciplinary and multi-objective effort that implies bridging historical silo’s (for example drinking water, wastewater, hydrology for rainwater harvesting, agriculture, industry). The second paradigm shift is the digital transformation and the emergence of powerful and automated model simulations that support real-time smart decision making. However, to achieve powerful digital tools that can support holistic decision making towards more circular and sustainable water management, many different data sources, models and submodels need to communicate with each other in a more efficient and automated way. For example, the development of a digital twin for water management in a city requires heterogeneous sources of data (e.g., water quality, energy, cost, meteorology, etc.) and various models/sub-models (e.g., models for sewer networks, hydrology, river hydraulics, water/wastewater treatment technologies, economic models, etc.) of the system to be connected to each other and communicate in an efficient and automated manner.
Deadline : Aug 31, 2023
(14) PhD Degree – Fully Funded
PhD position summary/title: Doctoral fellow
You will contribute to Prof. Julie Verstraeten’s research in the field of Retail and with a focus on consumer behavior. Research topics can be about the choices consumers make in a supermarket environment and how different aspects of the supermarket environment influence their choices (e.g. the size of assortments and whether consumers store online or in a physical store). Consumers’ choices can range from food choices, choices between private label and brand product, to choices between products with and without Nutri-score/Eco-score. The underlying drivers that consumers have for their choices and how consumers may differ from each other will also be addressed during the research. The exact research topic will be further developed in consultation with the chosen candidate (based on shared research interests) but should be situated within the above-mentioned field.
Deadline : Sep 06, 2023
(15) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
The research Group IDLab (www.idlab.ugent.be) is one of the research groups of the faculty of Engineering and Architecture at UGent. It is also part of IMEC (www.imec.be). Within IDLab there is a research unit working on graph-theoretical and mathematical aspects of networks in its broadest sense: we work in the field of ICT networks, transportation and logistics, bio-informatics, etc… The research is aimed at scientific innovation and valorization, and research projects are often performed in close cooperation with industry. In these projects, a good and fundamental scientific analysis of the problem at hand is always indispensable, which requires deep mathematical insight and competences. The key challenges are to design a good scientific model of the problem at hand, and then to work towards a good solution from an engineering perspective. Working as a scientist within this environment of the IDLab group can be a truly enriching experience. You will gain a lot of expertise within different application domains and the stimulating interdisciplinary environment at IMEC will allow you to work with important players in the field, giving you a valuable insight in the industry. We work with a very diverse range of industrial and governmental actors: big companies like Arcelor-Mittal, Proximus, Western Digital, Nokia, Telenet; small and medium sized enterprises like Androme, Be-Mobile, Comsof, DigiPolis, OneAccess, Televic, ZapFi; as well as organizations and institutions like De Lijn, city of Ghent, Farys, different hospitals, etc.
Deadline : Sep 30, 2023
(16) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
We offer a challenging, stimulating and pleasant research environment where you can contribute to solving real-life mathematics problems with a clear scientific, societal as well as economic value. The work is often done in collaboration with industry players. We foresee a competitive remuneration and the possibility to obtain a PhD degree in engineering. You will receive a full time scholarship with temporary employment (1+3 years) with yearly progress evaluation.
Deadline : Sep 30, 2023
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(17) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
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 and data 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). The IDLab techno-economics team where this vacancy is offered http://technoeconomics.idlab.ugent.be/ consists of engineers and economists who are supporting decision makers by translating technological innovation into business opportunities and challenges in different application domains like smart cities, smart mobility and smart energy. The group aims at providing research insights that help companies and policy makers in their decision making. Our research aims to put forward methodology-backed insights that combine technical solutions with their expected economic impact like costs, benefits and related business models.
Techno-economic evaluation of 5G and drone-based services With lives at stake, speed and visibility are critical for emergency services to reply properly to the incoming distress calls. The emergency services still too often do not have specific information to estimate calamities. Images that show the magnitude of disasters and the number of people involved are therefore invaluable in saving lives. With Drone-as-a-Service solution, rescuers have real-time insight into emergencies using HD and thermal video images. In addition to providing real-time insights for emergency services, the use of drones can also help to reduce response times and improve the overall efficiency of emergency operations. For example, drones can quickly assess the extent of damage to buildings and infrastructure, identify hazards or obstructions that may impede rescue efforts, and locate individuals in need of assistance.
Deadline : Sep 30, 2023
(18) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
We are looking for a PhD student for a research project on textile modelling. In this project, the main purpose is to develop a multi-scale textile modelling framework that allows accurate simulation of textile manufacturing processes such as yarn unwinding from a bobbin, weft insertion during weaving, stitching and tufting. This framework is implemented using finite element modelling as well as virtual fibre modelling. Big challenges here are the high anisotropy, low bending stiffness and non-linear behaviour of most textile materials, as well as the dynamics of manufacturing systems as most production happens at very high speeds. Moreover, the approach should entail both kinematics as well as mechanics such that predictive simulations of textile manufacturing can be made. This is still a very new research topic and many scientific questions remain unanswered. The PhD researcher will be part of a team of 4 researchers (3 PhD students and one postdoctoral researcher) who will all work on this large research project.
Deadline :Sep 30, 2023
(19) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
The Lung Research Lab of the Department of Respiratory Medicine at Ghent University Hospital is looking for a highly motivated PhD student to join the team. The candidate will perform translational research into the pathogenesis of asthma. This is a chronic inflammatory airway disease that affects around 334 million individuals worldwide and that has a significant economic burden. Within the framework of an FWO funded project, the PhD student will unravel the importance of cell adhesion molecules in severe asthma by combining analyses on human samples with mechanistic studies in a mouse asthma model.
Deadline : Sep 15, 2023
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(20) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
We are offering a PhD scholarship to unravel the molecular-genetic mechanisms that shape herbivory and reproduction in insects and mites. Arthropods are associated with a diverse set of bacteria. Certain intracellular bacteria infect the reproductive tissues of their arthropod host and spread rapidly through host populations by manipulating reproduction. Symbiont-mediated reproductive phenotypes will be a major focus of this PhD scholarship. Bacteria can further influence the evolution and ecology of arthropods by facilitating novel feeding ecologies, such as herbivory. Bacteria promote arthropod herbivory by horizontal gene transfer, or by initiating a long-term symbiotic relationship. This project will contribute to resolving the enigmatic genetic, molecular, and biochemical mechanisms that shape these host-symbiont interactions, with an emphasis on haplodiploid arthropods. The successful applicant will be hosted at the Terrestrial Ecology research group, Department of Biology, Ghent University, Belgium. He/she/they will work within a dynamic and complementary research team that focuses on understanding the evolution and mechanistic basis of reproductive symbiosis and herbivory. The scholar is expected to start between January and March 2024.
Deadline :Sep 11, 2023
(21) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
Description of post: The Design group of the Ghent University-imec IDLab research group is currently looking for several new PhD and post-doc researchers. The Design team is internationally recognized as a leading research group on high-speed and high-frequency integrated circuits for next-generation communications systems. At this moment, the Design group is for example active in twelve European projects, one ESA project and in direct research contracts with world-leading industry partners. These collaborations form the perfect basis for high-level and industry-relevant research in an environment with expert peers and top-notch test and measurement equipment. The main research lines focus on wired (fiber-optic, radio-over-fiber), wireless (5G, mmWave) and instrumentation for which custom CMOS or SiGe BiCMOS chips are developed and integrated in system demonstrators.
Deadline :Dec 31, 2023
(22) PhD Degree – Fully Funded
PhD position summary/title: Doctoral fellow
‘Big data policing’ can be seen as an innovative information-driven policing strategy that uses advanced statistical methods to analyse historical data to predict where and when there is a high risk of new crime. In existing big data policing applications, algorithms are being developed with the aim of “learning” from past crime patterns to predict future trends and patterns. Big data policing is piquing the interest of many police forces in Europe. This research project, funded by the European Research Council (ERC), aims to develop an evidence-based big data policing model that will be tested in several European cities.
Deadline :Sep 29, 2023
(23) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
We live in a society that is driven by computer science, artificial intelligence, data science and STEM. It is time to adapt our educational system to shape creators of the future! Together with you we want to make programming and computational thinking more accessible in the classroom. More specifically, with AI, we want to give teachers insight in the learning process of their students. However, observing the learning process is difficult and costly, especially in an open-ended STEM context. Moreover, it is often challenging for teachers to effectively assess the learning process. The goal of this PhD research project is to develop a tool that can monitor the progress of students in an open-ended learning context. A unique interdisciplinary research opportunity This research project is an interdisciplinary project that involves two labs: IDLab at UGent-imec and Itec KU Leuven-imec. Your PhD project will be led by two PI’s, prof. Francis wyffels (IDLab-AIRO) and prof. Fien Depaepe (Itec), who each bring their own expertise to this project. Furthermore, you will be able to collaborate with other enthousastic researchers of both labs! IDLab is a research group of UGent, as well as a core research group of imec. IDLab performs fundamental and applied research on data science and internet technology, and counts over 300 researchers. 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 circuits and systems. The AIRO (“AI and robotics”) team of IDLab has been studying various kinds of neural networks for more than 20 years. Our focus is on applications in robotics and in human-AI interaction. AIRO has been at the forefront of deep learning research ever since it became popular a decade ago. Illustrative of this success are an excellent track record at Kaggle competitions. thanks to a consistent focus on innovative ideas that are somewhat outside the mainstream “AI-hype”, many of our former PhD students are now working at top commercial research labs, such as Deepmind or Google Brain, or hold strategic senior R&D positions in companies. Itec is a research group of KU Leuven and imec, Flanders’ high-tech research and innovation centre for nanoelectronics and digital technologies. At KU Leuven’s Kortrijk campus, itec brings together researchers from three different faculties (Psychology & Educational Sciences, Arts and Medicine) and five disciplines (educational psychology, statistics, applied linguistics, data science and computer science) to collaborate on research topics in educational technology, such as instructional design and the effectiveness of online learning environments (e.g. e-learning, serious games), multilevel modelling, algorithms for adaptive learning and natural language processing. Itec is structurally part of imec and takes charge of the research program imec Smart Education, within which a broader inter-university team of research groups interacts (also from UGent and VUB). The imec Smart Education research program focuses on research on the use of technologies such as learning analytics, artificial intelligence or wearables.
Deadline : Aug 31, 2023
(24) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
Applications are invited for a PhD position at Ghent University in the field of Children’s Literature. The research project on which the PhD candidate will be employed is supervised by Prof. Dr. Elly McCausland. Candidates are invited to propose their own project, which must be in the field of children’s literature, and combine theoretical inquiry with textual analysis. Possible topics include, but are not limited to, children’s literature and the environment; young adult dystopia; adaptations of canonical texts for children; medievalism in children’s literature; nineteenth-century children’s literature; representations of risk and adventure in children’s literature; play in children’s literature; fantasy and fairytale.
Deadline : Aug 31, 2023
(25) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
Within the framework of a newly funded ERC Consolidator Grant (PASTIME project), we are seeking several motivated PhD students in biophysical modeling. The students will perform theoretical and computational research using simulations at the molecular scale. In the PASTIME project, we will search for methodologies to study the kinetics of drug transport. Since experiments often are too expensive or lack sufficient detail, molecular simulations can give insight in the dynamics of drug binding to proteins, or the permeation kinetics of those drug molecules through membranes. While such computational methodologies exist, new fundamental developments are needed to understand the ‘time’ aspects and to make the computations feasible with present-day computer power.
Deadline : Sep 30, 2023
(26) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
You will perform PhD research within the framework of an FWO project on argumentation mining of political social media text. Since the rise of social networks, daily exposure to fellow users’ opinions and comments has become a constant in many people’s lives. In order to automatically detect the reasoning underlying users’ opinions on political issues of public interest, this project aims to research a new methodology for argumentation mining of social media data in Dutch and English. The PhD student will research a novel framework and methodology to automatically extract topics, stance and argument structures from (political) social media data. A varied social media corpus will be collected and annotated. The insights gained from a pilot annotation study for Dutch will form the basis of a machine learning approach to automatically extract topics, stance and argumentative components and relations from our corpus. The results of this research will push the state-of-the-art in natural language understanding and help communication scientists and social scientists to formulate new hypotheses regarding the evolution of digital politics. The candidate will perform academic research in preparation of a doctoral dissertation. You will be enrolled in the doctoral training program of Ghent University. The PhD student will have the opportunity to attend international conferences and to spend a research stay abroad in other research labs.
Deadline : Aug 29, 2023
(27) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
You will perform PhD research within the framework of an FWO project on argumentation mining of political social media text. Since the rise of social networks, daily exposure to fellow users’ opinions and comments has become a constant in many people’s lives. In order to automatically detect the reasoning underlying users’ opinions on political issues of public interest, this project aims to research a new methodology for argumentation mining of social media data in Dutch and English. The PhD student will research a novel framework and methodology to automatically extract topics, stance and argument structures from (political) social media data. A varied social media corpus will be collected and annotated. The insights gained from a pilot annotation study for Dutch will form the basis of a machine learning approach to automatically extract topics, stance and argumentative components and relations from our corpus. The results of this research will push the state-of-the-art in natural language understanding and help communication scientists and social scientists to formulate new hypotheses regarding the evolution of digital politics. The candidate will perform academic research in preparation of a doctoral dissertation. You will be enrolled in the doctoral training program of Ghent University. The PhD student will have the opportunity to attend international conferences and to spend a research stay abroad in other research labs.
Deadline : Aug 29, 2023
(28) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
We imagine a future world of connected autonomously driving vehicles, AR/VR devices, smart clothing, cooperative robots in industry, or drones delivering packages at your doorstep. These applications are expected to be possible from novel techniques in wireless networking resulting into an increased spectrum, but also from the deep integration of the network with all types of computing power in the cloud and at the edge of the network. While all of this is possible in theory, many network control problems need to be solved under the hoods to make this possible: the topology consisting of all these different network segments must be discovered, routes must be found, and guarantees must be provided such that network communication can happen within (or less than) milliseconds. While already challenging on its own, this all must happen in a continuously changing environment, where people and devices move all the time. This gives rise to a wide number of optimization-related challenges in a highly distributed context. How to detect and utilize the best routes, highest capacity with lowest (and guaranteed) latencies between all those devices, and how to perform reservations within tight time boundaries. The research group is involved in several national and European research projects focusing on future networks and their ability to provide novel services on demand at high performance with strong guarantees.
To face the different research challenges in this domain, we are looking for a researcher who is able to combine modelling, algorithmic and software skills needed to advance this field.
Deadline : Aug 31, 2023
(29) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
We welcome applications for a PhD position on the topic “Assessing the impact of human mobility on Dengue spread in an urban system of Cuba by means of mathematical modeling”. The PhD scholarship follows from a collaboration between the Institute of Tropical Medicine Antwerp (Veerle Vanlerberghe), the Pedro Kouri Institute of Tropical Medicine at the University of Havana (Maria Eugenia Toledo) and Ghent University (Jan Baetens and Tijs Alleman, research unit BIOSPACE – https://biospace.ugent.be – at the Faculty of Bioscience Engineering, Ghent University).
Mathematical models predicted an increase of Dengue cases under the social restrictions imposed to counter COVID-19. Opposed, such increase was not observed and Dengue cases were historically low. This implies the current knowledge on the influence of mobility patterns on dengue transmissions is incomplete and more research is warranted. To this end, qualitative data on public space use and quantitative data on vector prevalence and mobility patterns in Cienfuegos, Cuba will be funneled into a mathematical model co-developed at Ghent University and ITM Antwerp. In addition to broadening our knowledge on Dengue epidemiology, the project aims to build knowledge locally by providing concrete recommendations to policymakers and by building a real-time forecasting system for the Pedro Kouri Institute of Tropical Medicine in Havana. In addition, the project will be relevant in Western Europe under current climate change predictions, as Dengue may become endemic in this region.
Deadline : Sep 30, 2023
(30) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
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). The IDLab techno-economics team where this vacancy is offered http://technoeconomics.idlab.ugent.be/ consists of engineers and economists who are supporting decision makers by translating technological innovation into business opportunities and challenges in different application domains like smart cities, smart mobility and smart energy. The group aims at providing research insights that help companies and policy makers in their decision making. Our research aims to put forward methodology-backed insights that combine technical solutions with expected economic impact like costs, benefits and related business models.
Deadline : Aug 31, 2023
(31) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
The Ghent Institute for Legal History is looking for 5 PhD Candidates who will be working within the project ‘Rethinking emergency from a legal historical perspective: contexts, actors, practices 1914-2020’ (EMERGE), which is funded by the European Research Council (ERC, ERC Consolidator Grant 2022, no 101087876). Set within the Faculty of Law and Criminology, a faculty home to many academics of diverse backgrounds, the Institute is a dynamic venue fostering rigorous ground-breaking research in legal history with a focus on legal theory and contextual analysis. You will develop and grow in research, both individually and as part of a team of ambitious scholars. As PhD Candidate in legal history, you will analyse the historical use of emergency powers and emergency legislation during the 20th century and early 21st century in Europe. The project EMERGE hypothesizes that the enactment of emergency legislation determines substantial and lasting changes to fundamental rights, the principle of the rule of law as well as the commitment to liberal values of equality before the law and universalism of rights. This hypothesis will be tested against five key moments in the constitutional and legal history of five European jurisdictions during the last century (c.1914-c.2020). The PhD Candidates will analyse the historical context, the law and the practice of emergency in five countries (Belgium, France, Germany, Romania, and the United Kingdom). The first PhD position is concerned with Belgium, the second PhD position with France, the third one with Germany (including the GDR), the fourth one with Romania and the fifth one with the United Kingdom (with a focus of Northern Ireland).
Deadline :Aug 31, 2023
(32) PhD Degree – Fully Funded
PhD position summary/title: PhD Student
The water sector is under increasing pressure worldwide. To ensure water security and sustainable development, major paradigm shifts are in progress. A first important shift is the transition towards a circular water and resource economy. This transition is inherently a multidisciplinary and multi-objective effort that implies bridging historical silo’s (for example drinking water, wastewater, hydrology for rainwater harvesting, agriculture, industry). The second paradigm shift is the digital transformation and the emergence of powerful and automated model simulations that support real-time smart decision making. However, to achieve powerful digital tools that can support holistic decision making towards more circular and sustainable water management, many different data sources, models and submodels need to communicate with each other in a more efficient and automated way. For example, the development of a digital twin for water management in a city requires heterogeneous sources of data (e.g., water quality, energy, cost, meteorology, etc.) and various models/sub-models (e.g., models for sewer networks, hydrology, river hydraulics, water/wastewater treatment technologies, economic models, etc.) of the system to be connected to each other and communicate in an efficient and automated manner.
Deadline : Aug 31, 2023
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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