Are you holding Master’s degree and looking for PhD positions – Fully Funded PhD Programs in Europe? Ghent University, Belgium inviting application for funded PhD Programs or fully funded PhD Scholarship. Ghent University is one of the largest university in the world with thousands of employees, students, and research scientists are involved in the innovation of science and technology daily.
Ghent University has huge a campus in Belgium and widely known as for its contribution in top notch education and research. The contribution of Ghent University is not only limited to natural sciences and engineering but it also offers high quality research as well as higher education in bio-medical sciences, social sciences, humanities, psychology, education, architecture etc.
1. Doctoral Position
Summary of Doctoral Project:
The Center for Synthetic Biology (Prof. M. De Mey) and the Laboratory of Immunology (Prof. B. Devriendt) welcome candidates for two PhD positions in the context of the interdisciplinary project ImmunoKeys: Merging immunology with synthetic biology to improve animal health: strain engineering for the production of structurally defined carbohydrates with immunomodulating properties. The continued spread of anti-microbial resistant bacterial pathogens together with a lag in the development of suitable antibiotic alternatives set the alarm bells ringing in public and animal health. The ImmunoKeys project brings together experts in synthetic biology and animal immunology to engineer microbial cell factories capable of producing structurally well-defined chitooligosaccharides with optimal immunostimulating properties via an integrated Design-Build-Test-Learn (DBTL) cycle. The obtained knowledge will lay the foundation for the development of these glycans as innovative alternatives for antibiotics in animal health.
Last Application Date: Sep 02, 2022
2. Doctoral Position
Summary of Doctoral Project:
You investigate the molecular mechanism of light-regulated adventitious root development. You study the behavior of in vitro grown mutants and transgenics (genome editing). You analyze the expression of key signaling gene using reporters and transcriptomics. You are interested in fundamental and applied research.
Last Application Date: Aug 01, 2022
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3. Doctoral Position
Summary of Doctoral Project:
We are looking for an enthusiastic early career researcher or diploma student who is passionate about plants and with an interest in advancing agriculture in line with the sustainable development goals. You will isolate microspores from several major food crops and learn how to recognize the right stage and cellular type that has the capacity to start embryogenesis, using tissue culture technology and microscopy tools. You record with a good sense for detail how cells behave and what is required to identify and isolate the embryonic cells. Molecular tools and markers will be used to help with the selection and to understand what processes take place during microspore regeneration. In a second face fase of the project, you will develop a new device and define conditions for microspore embryogenesis. A parallel project involves a similar study using protoplasts instead of microspores. The job is challenging and exciting and will come with the thrill to be part of a research teams dedicated to achieving the set goals.
Last Application Date: Aug 01, 202
4. Doctoral Position
Summary of Doctoral Project:
You will work on REXPEK, a Strategic Basic Research project funded by Flanders Make. The project resides in the virtual commissioning paradigm where (near) first-time-right commissioning of machines is pursued by means of model based design approaches. The key idea is to determine optimal machine settings through virtual experiments. For this concept to work, the reality gap between the virtual and physical experiments needs to be minimized. Further, in order to reduce the remaining physical experiments, each attempt must be chosen so to yields as much information as possible. The project takes a unique angle to this problem by taking into account the human as a valuable resource both as a knowledge base, a performance sensor or critique as well as a discriminator between what could be good or bad settings. The project has the overall aim to develop new methodologies to assist operators with machine commissioning and real-time tuning.
Last Application Date: Aug 19, 2022
5. Doctoral Position
Summary of Doctoral Project:
The CANOPI project is transdisciplinary and divided in five complementary work packages, each supported by one doctoral work. This position is relative to the first work package addressing the following question. “To what extent does and will climate, and specifically seasonal drought, shape tropical tree species distribution in Africa?” Using up-to-date modelling methods, you will identify the environmental determinants shaping the distribution of plant communities and produce floristic and functional maps of central African forests. You will explore the relationship between the distribution of species, communities, and forests and functional traits, specifically those related to drought-mitigation strategies. The determining role of leaf sheading, a major strategy to avoid desiccation, will be specifically explored. Part of the trait data have already been compiled for ~1000 tree species (leaf habit, maximum height, wood density) but additional measurements will be carried out to acquire new data on bark and wood traits. Finally, you will determine the vulnerability of species, communities and forest types under contrasting scenarios of climate change and anthropogenic threats, and identify areas that will experience major shifts in taxonomic and functional composition.
Last Application Date: Sep 01, 2022
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6. Doctoral Position
Summary of Doctoral Project:
The candidate will help collect forest inventory data (tree diameter and height) and species traits in nine clusters of existing plots distributed across the undersampled Democratic Republic of Congo and (possibly) Gabon. She/he will use forest inventory data to compare structural attributes (including stem density, basal area, average wood density and canopy height) among the plots and among the two regions (Atlantic forests of Gabon versus Inner Congo basin). This will shed light on the question whether inner Congo basin carbon stocks are truly lower than in other African regions. Forest remeasurement data will allow quantification of carbon gains and carbon losses between consecutive remeasurements (plots were remeasured every 2 to 4 years). This will ultimately allow quantifying the (dynamics of the) carbon sink over the 2010-2020 decade and address the question whether the inner Congo basin carbon sink is lower or higher than in other regions of central Africa. Finally, the longest monitored plots will allow tracking down changes in taxonomic and functional composition, addressing the question whether African forest species communities are truly shifting towards a higher share of drought-adapted species.
Last Application Date: Sep 01, 2022
7. Doctoral Position
Summary of Doctoral Project:
The CANOPI project is transdisciplinary and divided in five complementary work packages, each supported by one doctoral work. This position is relative to the third work package addressing the following question. “How does seasonal drought affect the functioning of trees and forests in central Africa?” Using existing data from ongoing phenology surveys (tree crown observations) and in agreement/collaboration with the data owners, the selected candidate will determine the diversity of phenological strategies among tropical tree species in central Africa and identify the environmental drivers and long-term changes in phenology. The latter analyses will be based on the longer phenology records available. She/he will also develop innovative methodologies to monitor leaf loss in the canopy (through the implementation of phenological cameras) and relate canopy phenology to stem growth (using electronic dendrometers) in two key sites, Lope NP in Gabon and Luki Man and Biosphere Reserve in the Democratic Republic of Congo.
Last Application Date: Sep 01, 2022
8. Doctoral Position
Summary of Doctoral Project:
The CANOPI project is transdisciplinary and divided into five complementary work packages, each supported by one doctoral work. This position is relative to the fourth work package addressing the following question: “Which drought mitigation strategies do African canopy tree species use?” You will focus on the relevance of two fascinating processes to canopy functioning in central Africa: (i) foliar water uptake, and (ii) bark photosynthesis. There is increasing evidence that these two processes may become especially important for maintaining the physiological activity in leaves and woody tissues of drought-stressed trees. We will specifically investigate these drought mitigation strategies using an ecophysiological approach that may set new standards in the functional ecology of tropical trees. The candidate will first review foliar water uptake (FWU) and bark photosynthesis as drought mitigation strategies. She/he will help developing a state-of-the-art measurement protocol to quantify FWU and bark photosynthesis using cut leaves, cut branches and intact plants. She/he will screen in situ the FWU capacity and bark photosynthesis potential of timber species in a nursery and plantations in Bambidie, Gabon. She/he will quantify leaf wetness in canopy trees with newly developed, custom-built sensors in Lopé and Luki.
Last Application Date: Sep 01, 2022
9. Doctoral Position
Summary of Doctoral Project:
Context – High performant and power-dense electromechanical systems (e.g. weaving looms, compressors, gearboxes, drivetrains, …) need oil lubrication to reduce friction and resulting wear in rolling element bearings to efficiently dissipate heat from the contact points. On the one hand, these systems contain multiple oil-lubricated bearings of various types, which typically operate under different and/or varying conditions (load, speed, temperature). Ideally, the lubrication properties have been adapted to these operating conditions. However, in practice, each individual bearing operates under suboptimal lubrication conditions, leading globally to an increased Total Cost of Ownership (TCO) due to reduced energy efficiency, reduced component lifetime, and increased maintenance and downtime. At Ghent University, techniques are being developed to actively control and optimize the local lubricant thermomechanical properties in bearings, by means of in-situ thermal conditioning of the lubricant and the bearing surfaces, as well as control of mass flow rates. Your tasks – The envisioned Ph.D. focuses on the development and implementation of an active thermal control system in an existing bearing test rig with the aim of real-time control of lubrication. Besides the design and implementation of the hardware, also digital twin strategies must be developed acting as virtual sensors for control purposes.
Last Application Date: Aug 31, 2022
10. Doctoral Position
Summary of Doctoral Project:
IDLab is a research group of Ghent University, 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. IDLab is also part of imec, the world-leading research and innovation hub in nanoelectronics and digital technologies. The combination of our widely acclaimed leadership in microchip technology and profound software and ICT expertise is what makes us unique. This position is within the research group Distributed Machine Learning. This group focuses on innovative machine learning techniques in situations where intelligence is divided between multiple entities, be it multiple robots, edge device and cloud-backend, or human-AI interaction. This position is situated in the latter domain, and will be carried out within the context of a prestigious FET project.
Last Application Date: Dec 31, 2022
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11. Doctoral Position
Summary of Doctoral Project:
IDLab is a research group of Ghent University, 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. IDLab is also part of imec, the world-leading research and innovation hub in nanoelectronics and digital technologies. The combination of our widely acclaimed leadership in microchip technology and profound software and ICT expertise is what makes us unique. The IDLab NetModel team where this vacancy is offered consists of engineers and scientists who are building models for the future Internet. NetModel investigates network control mechanisms, network optimization and performance-related aspects of networks. The group has a strong track record in the domains of optical networks, network performance optimization, and sofware-defined networking.
Last Application Date: Aug 31, 2022
12. Doctoral Position
Summary of Doctoral Project:
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.
Last Application Date: Aug 31, 2022
13. Doctoral Position
Summary of Doctoral Project:
Sign languages are the primary form of communication for many deaf or hard of hearing people. They are also entirely separate languages, which are regional and have local variations, and generally have very little relation to any spoken languages in the same region. For example, Flemish Sign Language (used in Flanders) is quite different from Dutch Sign Language (used in the Netherlands), but very similar to the French Belgian Sign Language used in Wallonia (the French speaking part of Belgium). Without any connection between written languages and the natural language structure of their native sign language, and without the intermediate step of the (loose) connection between sounds and letter combinations, learning to read and write is much more challenging for people who are born deaf, than it is for hearing people to learn a different spoken/written language.
Last Application Date: Jul 20, 2022
14. Doctoral Position
Summary of Doctoral Project:
Can we use the energy from sun and wind to make renewable molecules at sea and how do we prove that hydrogen is really green? With MuSe (Molecules at Sea) we want to explore the opportunities for producing and important renewable molecules, such as hydrogen, methanol and methane, from offshore energy production as we know it from wind or solar parks. Your research is part of work package 6 of MuSe and concerns the certification of (renewable) hydrogen and other green molecules. Not only at the EU level, but also in various EU Member States, governments and companies are already taking initiatives to support and enable the swift roll-out of (imported) CO2-friendly molecules. In particular, a standardized comprehensive legal framework for hydrogen is crucial to form a single a single liquid and competitive market for green molecules in Central Western Europe. Moreover, the Belgian government intends to explore cooperation between the Netherlands, Luxembourg, Germany and France to establish international and European standards for the certification and trade of renewable molecules..
Last Application Date: Aug 21, 2022
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15. Doctoral Position
Summary of Doctoral Project:
We are looking for an enthusiastic early career researcher or diploma student who is passionate about plants and with an interest in advancing agriculture in line with the sustainable development goals. You will isolate protoplasts from several major food crops and learn how to recognize the right stage and cellular type that has the capacity to start to divide and produce new plants. For this you use tissue culture technology and microscopy tools. You record with a good sense for detail how cells behave and what is required to identify and isolate the competent cells. Molecular tools and markers will be used to help with the selection and to understand what processes take place during protoplast regeneration. In a second face of the project, you will develop a new device and define conditions for protoplast regeneration. A parallel project involves a similar study using microspores instead of protoplasts. The job is challenging and exciting and will come with the thrill to be part of a research teams dedicated to achieving the set goals.
Last Application Date: Aug 01, 2022
16. Doctoral Position
Summary of Doctoral Project:
The research team of Prof. van Loo and Prof. Esther. Hoste has a vacancy for a highly motivated PhD student to investigate the role of different cell death modalities in keratinocytes and their implications for injury repair and skin tumour formation. The successful candidate will be responsible for the study of the impact of cell death on different stem cell niches in the skin, using mouse models of skin inflammation, wound healing and tumour formation in combination with cell-based assays on cells of human and mouse origin. Stem cells are fundamental mediators of tissue biology. In this project, we will make use of advanced confocal microscopy, flow cytometry, mouse transgenesis, CRISPR-Cas9 genome-wide screening approaches and spatial transcriptomics to understand how cell death affects the behaviour of neighbouring stem cells in the skin.
Last Application Date: Oct 03, 2022
17. Doctoral Position
Summary of Doctoral Project:
The omnipresence of sensors causes an explosive growth of data that offers the potential for a revolutionary transformation in the health care sector. As biomedical monitoring devices are becoming more widespread, continuous measurements of critical biomarkers can be collected for the purpose of screening, medical diagnosis and prediction of disease progression. The availability of this time series data makes it possible to develop new systems, such as wearables, that can extract insights from data and transform them into actionable knowledge.
Last Application Date: Aug 31, 2022
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18. Doctoral Position
Summary of Doctoral Project:
Our lab studies vegetation dynamics, carbon and water cycling of terrestrial ecosystems. CAVElab has a strong focus on tropical forests, but a broad interest in all types of terrestrial ecosystems, including projects on temperate forests, drylands and urban ecosystems. Process-based vegetation modelling and 3D forest reconstructions are our core research tools, the questions arising from the modelling work require dedicated fieldwork activities.
Last Application Date: Aug 20, 2022
19. Doctoral Position
Summary of Doctoral Project:
Given the rapid changes in climate, immense shifts in forest composition, functioning and carbon balance are expected in tropical forests in central Africa. However, no studies have confirmed this worrisome trend using ground-based data, keeping central Africa a particularly understudied region despite its overwhelming size. Whether tropical forests in central Africa will be sensitive to drier conditions –because they are already limited by water availability– or resistant –because they are adapted to seasonal drought– is the ambitious challenge CANOPI aims to tackle (https://www.canopi.uliege.be/).
Last Application Date: Sep 01, 2022
20. Doctoral Position
Summary of Doctoral Project:
The research project starts from the idea that communication messages and nudging techniques in a supermarket context (e.g. placing a sustainable product on eye-level) can increase choices of sustainable products. However, these one-time choices do not always lead to subsequent sustainable choices. In this project, we investigate how, when and why behavioral interventions in a store context translate into subsequent sustainable choices (=spillover behavior). In this project, quantitative, online, lab and field studies will be set up to answer the specific research questions. This four-year project will be realized under the supervision of Prof. dr. Iris Vermeir and Prof. dr. Adriaan Spruyt.
Last Application Date: Jul 17, 2022
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21. Doctoral Position
Summary of Doctoral Project:
On July 1st 2021, a EU funded research project called DECIDE with 19 partners in 11 countries will start started for a period of five years. About 9 PhD students and several postdoctoral researchers will be are hired by the partner organizations In the DECIDE project. The DECIDE project will develop aims at developing data-driven decision support tools, which present (i) robust and early signals of disease emergence and options for diagnostic confirmation; and (ii) options for controlling the disease along with their implications in terms of disease spread, economic burden and animal welfare. DECIDE will focuses on respiratory and gastro-intestinal syndromes in the three most important terrestrial livestock species (pigs, poultry, cattle) and on growth reduction and mortality in salmonids. For each of these, we will (i) identify the stakeholder needs; (ii) determine the burden of disease and costs of control measures; (iii) develop data sharing frameworks based on federated data access and meta-information sharing; (iv) build multivariate and multi-level models for creating an early warning system. Together, all of this will form the decision support tools to be integrated in existing farm management systems wherever possible and to be evaluated in several pilot implementations in farms across Europe.
Last Application Date: Jul 31, 2022
22. Doctoral Position
Summary of Doctoral Project:
The AIRO group (Artificial Intelligence and Robotics, airo.ugent.be) of IDLab-imec (idlab.technology) at Ghent University is excited to be offering two fully-funded PhD scholarships to help with our research on social robotics under the supervision of Tony Belpaeme. Social robots are robots that interact with people in a natural manner by, for example, using speech, gestures, facial expressions and language. By using natural communication, these robots are easier to interact with and have many applications in entertainment, services, education, collaborative robotics and therapy [1]. You will join an international project called VALAWAI (short for Value-Aware AI) studying consciousness, values and AI. “Value-aware AI” is AI that includes a component performing the same function as human moral consciousness: a system that helps decide whether or not certain actions are morally acceptable. This system will be based on the Global Neuronal Workspace model developed on the basis of neurophysiological evidence and psychological data [2]. At Ghent University we will look at how social robots can become value-aware and how people respond to social robots that have have some level of consciousness.
Last Application Date: Aug 31, 2022
23. Doctoral Position
Summary of Doctoral Project:
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).
Last Application Date: Dec 31, 2022
24. Doctoral Position
Summary of Doctoral Project:
The offered PhD position is embedded in the BOF-GOA project SOFTRESET (Soft and Flexible Technology for Responsive Epileptic Seizure Treatment), funded by Ghent University with 1.6 million Euros. This project aims to develop technology for targeted therapy of focal epilepsy based on the therapeutic effects of deep brain stimulation using innovative soft probes for both the recording of the epileptic brain region and its optical stimulation. You will be part of a multidisciplinary team of 5 PhD students with interconnecting projects, under the guidance of top researchers from several teams at Ghent University at the faculties of Medicine and Health Sciences, Engineering and Architecture, and Sciences: 4Brain, imec-CMST, imec-Waves, PBM-UGent, and Neural Waves.
Last Application Date: Sep 30, 2022
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25. Doctoral Position
Summary of Doctoral Project:
Trustworthy machine learning (ML) systems should be able to express their uncertainty about the predictions they make, i.e., they should know what they don’t know. However, complex ML methods, such as deep neural networks, often fail to express their uncertainty in an honest way. This is a crucial problem in application domains such as medicine, climate and biology, because ML systems can only assist end users if one can trust the ML systems. In this PhD project we intend to develop and evaluate several ML methodologies to quantify uncertainty. We want to explore four different ways of quantifying uncertainty, resulting in four different tasks. The first two approaches, in which distributions or sets are used to express uncertainty, respectively, are commonly used in supervised learning. Those approaches typically only take aleatoric uncertainty into account, i.e., uncertainty that cannot be reduced by collecting data of more patients. The last two approaches, which express a second-order uncertainty via distributions of distributions or sets of distributions, are less established in supervised learning. However, those approaches are gaining popularity, because they are able to represent epistemic uncertainty as well, i.e., uncertainty that arises because of working with limited sample sizes, and that can be reduced by collecting more data.
Last Application Date: Aug 15, 2022
26. Doctoral Position
Summary of Doctoral Project:
The TREE4FLUX project supports the participation of the Wood Biology Service of the Royal Museum for Central Africa (RMCA) in the eddy covariance (EC) CongoFlux tower in Yangambi (D.R.Congo), in collaboration with Ghent University. The RMCA part of this project aims to further develop forest research on the ground, in support of the CongoFlux data. Specifically, the focus is on three types of permanent forest inventory plots (intensive, large-scale and geographically dispersed). The project will re-measure and further expand this plot network. The data from the plots will be used to validate, supplement and amplify the EC data from CongoFlux. The plots are mainly located in Yangambi.
Last Application Date: Sep 01, 2022
27. Doctoral Position
Summary of Doctoral Project:
We are heading towards a hybrid society, where AI-enabled agents cooperate with humans in a variety of tasks. Human decision making is however notably prone to cognitive biases. In applications supporting the human, the integrated AI should account for these biases when making suggestions or taking actions. Within the context of a prestigious European FET-OPEN collaborative project (ChronoPilot), the Phd study recruited for this position will design a computational model that generates multi-modal (audio, video, haptic) stimuli via XR technology to resolve the differences in individual time perception during group tasks. The perception of time is a critical component of a large range of human activities. In particular, when individuals have to make decisions and consider the outcomes associated with their choices. Nevertheless, humans perceive durations mostly subjectively. Sometimes time flies, whereas at other moments, time feels expanded, depending on the individual’s environment, the task at hand, the allocation of the individual’s attention, etc. This subjective judgment of durations influences the optimality of human decisions, well-being, performance, etc. While the focus of this position is on the computational modelling using AI techniques, the researcher will closely collaborate with researchers from other disciplines.
Last Application Date: Oct 01, 2022
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28. Doctoral Position
Summary of Doctoral Project:
As a PhD fellow you prepare a PhD thesis in the field of persuasive communication with the aim of stimulating individual and collective sustainable behavior among Flemish coastal residents and tourists. Based on social research into the underlying factors (e.g., individual and collective values, place attachment, regional/historical identity, social norms) that explain sustainable behavior and support for sustainable projects in the Flemish coastal region, communication strategies will be developed that result in the development of concrete communication interventions (e.g., VR applications, gaming,…). The effectiveness of these interventions and the explanatory variables are also studied within Blue-Balance.
Last Application Date: Jul 25, 2022
29. Doctoral Position
Summary of Doctoral Project:
Soil and groundwater microbiomes have a high potential to improve degradation of organic contaminants, a process called bioremediation. The MIBIREM project brings together 12 European partners from Austria, Belgium, France, Germany, Italy, and the Netherlands, representing academia and industry, and aims to generate a TOOLBOX to develop applications for bioremediation microbiomes. Within this project, our team recruits a new PhD student who will be studying microbiome communities of cyanide, hexachlorocyclohexane and petroleum hydrocarbons – polluted environments together with visiting scientists from partner labs. A major aim is the development of protocols for microbiome preservation and quality control. To this end we will use techniques as diverse as high-throughput culturomics, long-read 16S rRNA amplicon sequencing, bacterial whole-genome sequencing and comparative genomics, qPCR, flow cytometry, etc.
Last Application Date: Jul 31, 2022
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30. Doctoral Position
Summary of Doctoral Project:
Thermo-Elastohydrodynamic Lubrication (TEHL) is a specific lubrication regime that typically occurs in classic machine components such as rolling element bearings, gears, cam-follower systems, etc., and is therefore very relevant in many machine applications. TEHL is characterized by thin lubricant films (50 nm-1 m) in which the hydrodynamic pressure can reach values up to GPa range (1-4 GPa), inducing elastic deformation of the opposing contact surfaces in the order of the film thickness. At such high pressures, the lubricant becomes compressible and behaves in a highly non-Newtonian way by local solidification and shear-thinning. Accurate computational simulation of TEHL by means of continuum models requires therefore an accurate description of the lubricant’s compressibility and the rheology (i.e. piezo-viscosity and shear thinning) as well as the thermal properties (specific heat, conductivity), wall slip and cavitation. Today, however, the thermomechanical properties of only a handful of “academic” lubricant oils have been measured experimentally and documented in the literature, due to the technical challenges of performing experiments at extreme pressures and shear rates. Hence, typically data is limited to 1.5GPa.
Last Application Date: Aug 01, 2022
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31. Doctoral Position
Summary of Doctoral Project:
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 nine 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.
Last Application Date: Aug 31, 2022
32. Doctoral Position
Summary of Doctoral Project:
The research project in which the successful candidates will be involved focuses on the role of renewable energy communities in the energy transition. Energy communities, as defined by the Clean energy for all Europeans package, allow citizens to participate actively in the energy transition through, e.g.. investment in renewable energy, energy efficiency actions, or demand flexibility services. Energy communities focus on environmental, economic or social community benefits rather than generating financial profits. The project focuses in particular on citizens’ participation in offshore wind projects. In this context, the successful candidates will, i.a., study the profile of current investors in energy cooperatives, socio-economic benefits of the cooperative model, balancing of renewable portfolios, risk mitigation, etc.
Last Application Date: Jul 17, 2022
33. Doctoral Position
Summary of Doctoral Project:
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 nine 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.
Last Application Date: Aug 31, 2022
34. Doctoral Position
Summary of Doctoral Project:
Advances in TeraHertz technology have driven researchers to consider systems that are highly non-linear and strongly radiating. Modelling these systems requires methods that are based on time-stepping, and that can accurately describe unbounded regions. The use of methods such as the finite element method, the method of moments, or the finite difference time-domain method – if at all applicable – results in unacceptable computational costs, and large errors in dispersion and radiation characteristics. The right tool to model this class of devices is the time domain boundary element method. Unfortunately a number of challenges remain, stopping designers from deploying time domain boundary element methods in the modelling of realistic devices and systems. The ERC Consolidator project BET3D will accelerate the development of the time-domain boundary element method into a method that can model highly non-linear, strongly radiating systems and that unlocks the capability to model emerging technologies in THz communications and imaging. In this project, we will develop novel modelling methodologies that allow the integrated simulation of complex sensors made from multiple materials, and including ports, coatings, and two-dimensional materials such as graphene. We will pursue transformational advancements in the formulation, discretization, and implementation of the time domain boundary element method.
Last Application Date: Jul 31, 2022
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35. Doctoral Position
Summary of Doctoral Project:
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).
Last Application Date: Jul 31, 2022
36. Doctoral Position
Summary of Doctoral Project:
We are recruiting one full-time PhD student with an interest in applying network theory and agent based modeling for the FWO research project “Interdependencies of Serial and Co-Offending Networks in Space and Time”. You will be expected to complete a PhD study on the topic of “Interdependencies of Serial and Co-Offending Networks in Space and Time”. The main goal is to develop an understanding of how serial and co-offending behaviors are interdependent in space and time. To do so, you will apply network theory and agent based modeling on an integrated dataset of police recorded crime data and forensic biometric data. You will take primary responsibility for the scientific preparation, follow-up, implementation, and completion of this project. This includes the collection, processing, and analysis of police recorded crime data and forensic biometric data, as well as presenting intermediate results at international conferences and publishing findings in academic journals.
Last Application Date: Aug 31, 2022
37. Doctoral Position
Summary of Doctoral Project:
The Laboratory of Protistology and Aquatic Ecology (Ghent University) and Comparative Network Biology group (VIB) invite applications for a fully-funded PhD studentship for 1 year and extended with another 3 years (after positive evaluation) to study diatom speciation and adaptation. Our understanding the processes underlying speciation and the genetic/phenotypic diversity of diatoms and other microalgae remains very limited, yet it is of crucial importance to predict their response to global change. The successful applicant will employ a combination of field, laboratory and population-genomic approaches to quantify gene flow in diatom metapopulations, to study local adaptation and to reconstruct the impact of past and ongoing gene flow on the evolution of their pan-genome. We offer an intellectually stimulating and international research environment, high-quality training to develop hard and soft skills, opportunities to participate in sampling campaigns and international scientific conferences, and a competitive salary including a bicycle commuting reimbursement. Ghent University is among the top global universities according to several international rankings.
Last Application Date: Aug 01, 2022
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38. Doctoral Position
Summary of Doctoral Project:
You will write a doctoral dissertation about either ‘Rethinking Legal Ignorance: Accessibility of the Law in the 21st Century’ or a self-chosen topic. That topic is open, but should be linked /related to at least one of the following areas: legal theory (jurisprudence) and/or methods of academic legal research. Larger fields in which the topic can potentially be situated (but is by no means required to do so) are e.g. ‘Methods and applications of analytically deconstructive research’, ‘Critically assessing traditional doctrinal legal scholarship’, ‘Private law in context’, ‘Future-proof private law’ or ‘Beyond the public law/private law divide’.
Last Application Date: Jul 31, 2022
39. Doctoral Position
Summary of Doctoral Project:
The selection and presence of the right person has become significantly important since today’s knowledge society supports the specialization of personnel and the development of additional skills to improve the satisfactory execution of activities. To support workers with the processing of tasks in a production environment, we analyze the cost benefits resulting from different forms of training such as self-learning (and forgetting), on-the-job training and off-the-job training to re-skill the workforce. Each of these types of training is characterized by (i) a different degree of learning impacting the efficiency and/or quality a worker can process tasks, known as the up-skilling consequences, (ii) a training duration during which workers cannot process other tasks, and (iii) a training cost.
Last Application Date: Aug 15, 2022
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40. Doctoral Position
Summary of Doctoral Project:
Our research group works on modelling, control and optimization for Mechatronic systems, Industrial robots and processes. We are part of the department of Electromechanical, Systems and Metal Engineering within the Faculty of Engineering of Ghent University (www.ugent.be/ea/emsme/en). 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. Our campus is situated in Ghent, a lively city at the heart of Europe (visit.gent.be/en/HOME). Our research group is also associated to Flanders Make (www.flandersmake.be/en), a non-profit organization, funding precompetitive research for the betterment of the Flemish manufacturing industry. The candidate will be directly embedded in an international research group, working together as a team and will have the possibility to collaborate with many other people active at Ghent University and within Flanders. You will work on REXPEK, a Strategic Basic Research project funded by Flanders Make.
Last Application Date: Aug 19, 2022
