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17 PhD Degree-Fully Funded at Ghent University, Belgium

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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

Ghent University is a world of its own. Employing more than 15.000 people, it is actively involved in education and research, management and administration, as well as technical and social service provision on a daily basis. It is one of the largest, most exciting employers in the area and offers great career opportunities.
With its 11 faculties and more than 85 departments offering state-of-the-art study programmes grounded in research in a wide range of academic fields, Ghent University is a logical choice for its staff and students.

The IDLab Ghent research group is seeking a highly motivated and talented PhD student to join the distributed machine learning team. Our team focuses on developing efficient machine learning algorithms for perception and control; with diverse applications in industry, robotics, remote sensing and agriculture.

Deadline : Dec 31, 2024

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(02) PhD Degree – Fully Funded

PhD position summary/title: PhD Student

The research group Mechanics of Materials and Structures at Ghent University (UGent-MMS) has 4 vacancies for PhD research in the field of fibre-reinforced composites. The vacancies are linked to research on composite hydrogen tanks, micromechanical testing of composites and finite element modelling of textile connections.

Deadline : Sep 30, 2024

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(03) PhD Degree – Fully Funded

PhD position summary/title: PhD Student

We are looking for an enthusiastic young engineer to work on WHEATWATCHER EC funded project. The aim of the WHEATWATCHER is to develop and implement an integrated soil and crop monitoring system to assess soil nutrients status and chemical and biological stressors affecting and/or contaminating wheat grains from at-field growing stage to flour production in various regions across Europe, which will provide a management and decision tool for the farmers, mill owners and policy makers to guarantee quality and safe food production. Ghent University (UGent) is the coordination partner of the project, with Prof. Abdul Mouazen named as the project coordinator.

The successful candidate should answer research questions related to monitoring of different sources of contaminants in agricultural soils and wheat. He/she will need to contribute to the design, optimization and implementation of soil and crop sensing platforms for the collection of data on soil, crop and wheat grains to enable precision agriculture decision making for contaminants removal and mitigation. You will also support the delivery of the tasks assigned to UGent in WHEATWATCHER project.

Deadline : Sep 13, 2024

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(04) PhD Degree – Fully Funded

PhD position summary/title: PhD Student

The IDLab Ghent research group is seeking a highly motivated and talented PhD student to join the Software-Defined Radio (SDR) research team. Digital communication plays a pivotal role in professional environments, supporting both persons, machines to interact with each other over a communication network. In professional environments, such as industry automation (industry 4.0), communication becomes increasingly diverse, and demands more reliable and time-critical end-to-end wireless connectivity, that can seamlessly adapt to dynamic environments and application needs. What is also lacking in today’s wireless network is uniform coverage, users often rely on connection to a specific access point, and performance varies when moving around. The next generation Wi-Fi needs to support distributed and coordinated AP architectures, whereby multiple APs can simultaneously serve a single user with coherent beamforming. In short, we want to advance wireless communications to the next level on these aspects: uniform coverage, end-to-end latency, time synchronization accuracy among distributed applications across diverse network segments, reliability/QoS for high-priority and safety-critical traffic. Today, we are far from achieving that vision, as most research is limited to theoretical or simulation studies, ignoring real-world impairments. Individual access points produced by different vendors rarely cooperate, features such as coherent beamforming among different access points have great potential but cannot be realized in real-life.

In recent years, software-defined radio becomes a popular tool in research community, the SDR team of UGent has created the full stack open-source Wi-Fi chip design openwifi (https://github.com/open-sdr/openwifi). Many innovations has been built above openwifi, such as support of synchronization and Time Sensitive Network (TSN), MIMO diversity, for a complete list of publications using openwifi please refer to (https://github.com/open-sdr/openwifi/blob/master/doc/publications.md).
This PhD vacancy targets to use openwifi to deliver solutions of the advanced WiFi chip for professional end-to-end communication networks that stand out in fulfilling, guaranteeing the challenging requirements of ultra-reliable and time-and-safety-critical applications running on top.

We offer the opportunity to do this research in an international and stimulating environment. The IDLab research group belongs to both Ghent university and IMEC. Ghent University consistently ranks among the best 100 universities in the world. And IMEC is world’s leading independent R&D research hub. Our research center is located in the heart of Europe, Ghent is a beautiful and welcoming city (https://www.lonelyplanet.com/articles/ghent-belgiums-best-kept-secret) with plenty of cultural and leisure activities.

The selected candidate will be offered a 4-year employment, with an intermediate evaluation after the first year (1+3 years). The salary is competitive and will be determined by the university salary scales. In addition, staff members can count on a number of benefits, such as a broad range of training and educational opportunities, 36 days of vacation leave, bicycle allowance, and more.

Deadline : Feb 15, 2025

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(05) PhD Degree – Fully Funded

PhD position summary/title: Doctoral fellow

We are looking for one bright and motivated PhD student for CyberQ project. The project is financed by the Independent Research Fund Denmark, and it is a collaboration between IDLab – Ghent University / imec (Belgium), DTU (Denmark), SiPhotonicIC (Denmark), DFM (Denmark) and GlobalConnect (Northern Europe).

CyberQ is an ambitious research project focused on developing next-generation Quantum Key Distribution (QKD) systems that address challenges in scalability, performance, and practicality. In the modern digital age, secure communication is vital for global commerce, effective governance, and overall security. Traditional cryptographic techniques, though effective, are vulnerable to advancements in computing, especially the upcoming quantum computing era. QKD with AES encryption offers a robust, quantum-resistant solution. CyberQ targets enhancing the security of Continuous Variable (CV) QKD systems, refining multi-party protocols for broader network applications, and improving system resilience and miniaturization for widespread deployment. By identifying vulnerabilities and integrating higher levels of practical security, CyberQ paves the way towards fully device-independent CVQKD systems. CyberQ unites the leading expertise of six international partners and is funded by Innovation Fund Denmark.

Deadline :Dec 31, 2024

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(06) PhD Degree – Fully Funded

PhD position summary/title: Doctoral fellow

We are looking for one bright and motivated PhD student for TripleQ project. The project is financed by the Independent Research Fund Denmark, and it is a collaboration between IDLab – Ghent University / imec (Belgium), Alea quantum technologies (Denmark), DTU (Denmark), and DFM (Denmark).


TripleQ is an ambitious research and innovation project aiming to develop, test and validate secure, low-cost, and ultra-fast 10 Gigabits/second Quantum Random Number Generators (QRNGs) for next-generation cryptographic applications. In today’s highly digitalized societies, information security is crucial as the current cybersecurity infrastructure is under constant pressure from financially and politically motivated hacking. Moreover, the rapid development of quantum computing poses a significant threat, potentially breaking many existing cryptographic protocols and rendering current techniques obsolete. Quantum cryptography offers a solution, which relies on high-quality, certified randomness. Both classical and quantum cryptographic protocols depend on random numbers that are unpredictable to adversaries. TripleQ aims to create QRNGs with a high-security level rooted in the laws of quantum physics, making the technology compact, affordable, and ready for a range of applications. Funded by Innovation Fund Denmark, the project unites leading expertise from four academic and industry partners, working at the forefront of quantum cryptography.

Deadline : Dec 31, 2024 

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(07) 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, 2024

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(08) PhD Degree – Fully Funded

PhD position summary/title: PhD Student

Ghent University is a world of its own. Employing more than 15.000 people, it is actively involved in education and research, management and administration, as well as technical and social service provision on a daily basis. It is one of the largest, most exciting employers in the area and offers great career opportunities.

With its 11 faculties and more than 85 departments offering state-of-the-art study programmes grounded in research in a wide range of academic fields, Ghent University is a logical choice for its staff and students.

Deadline : Sep 30, 2024

View details & Apply

 

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(09) PhD Degree – Fully Funded

PhD position summary/title: PhD Student

The Centre for Synthetic Biology (CSB, www.csb.ugent.be) is part of the Faculty of Bioscience Engineering at Ghent University, a top 100 university in most rankings. CSB has a long tradition in in the application of synthetic biology for industrial biotechnology, particularly directed towards the biocatalytic synthesis of chemicals through either microbial fermentation or the use of isolated enzymes. The area of expertise includes the screening for novel biocatalysts (enzymes and micro-organisms), the optimisation of fermentation strains through metabolic engineering, the engineering of enzymes through rational design and directed evolution, as well as process development, up-scaling, and downstream processing. Prof. De Mey leads a group of 8 PhD students and 5 postdocs and has a strong track-record in translating her basic research into real-life applications, including patents and spin-offs.
For the research group The Centre for Synthetic Biology we are looking for a m/f/x Doctoral fellow
YOUR JOB
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 during the duration of your PhD.

Deadline : Oct 01, 2024

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(10) PhD Degree – Fully Funded

PhD position summary/title: Doctoral fellow

We are seeking a motivated candidate for a fully-funded PhD researcher position (1 year + 3 additional years after a positive evaluation) focused on applying advanced AI techniques (incl. LLMs, vision transformers, multimodal AI, etc.) to enrich and interact with data from the heritage domain.
Team:
The research group led by Prof. Steven Verstockt and Prof. Dieter De Witte, focuses on Applied AI projects in heritage, (mental) healthcare, media, and sports. Recent projects include the enrichment of historical maps, enhancement of plant herbarium collections, use of LLMs to interact with mental health patients, application of multimodal AI for image retrieval, and development of AI-supported annotation interfaces for museums.

Deadline : Dec 31, 2024 

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(11) PhD Degree – Fully Funded

PhD position summary/title: PhD Student

A PhD position focused on experiments to study physics of multiphase/viscoelastic flow in porous media.
You will perform cutting-edge scientific research in the context of the ERC Starting Grant “FLOWSCOPY: Unravelling unsteady fluid flows in porous media with 3D X-ray micro-velocimetry”. Fluid flows in porous materials are a widespread phenomenon, just think of groundwater flow in the subsurface. The behavior of the flow on the large scale, for example how a pollutant spreads in a soil after an environmental disaster, is controlled by how fluids work their way through a maze of minuscule, interconnected pores in the material. Such flows involve complex fluid physics that are currently far from being fully understood. However, there is a major challenge to study this: how do you measure fluid flow in minuscule pores inside a material? In this project, new techniques will be developed to solve this using high-resolution X-ray CT, based on principles used in hospitals to image patients, but at a hundred times higher resolution. By introducing specially designed particles into the flow and tracking their motion with new computer algorithms, we will be able to measure fluid flows that are representative of realistic processes in the subsurface, leading to better models of groundwater flows, and of how CO2 and hydrogen can be stored in porous rock layers in the subsurface.
As a PhD student performing fundamental research on this project, your task will be to design and perform new experiments to study the physics of fluid flows in porous materials. Specifically, you will investigate two-phase flow (e.g. simultaneous flow of water and air) and/or viscoelastic flow (flows of liquids that change their viscosity depending on the flow). You will characterize the different flow regimes that can occur due to their highly non-linear and fluctuating nature, and will investigate how this correlates to the pore geometry in real porous materials. To do this, you will apply novel 3D X-ray imaging techniques and will contribute to their development led by other researchers on this project. The work is meant to lead to a PhD degree after 4 years.

Deadline : Sep 30, 2024

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(12) PhD Degree – Fully Funded

PhD position summary/title: Doctoral fellow

We are seeking highly motivated and talented PhD students to join the AI-bioinformatics research cluster, with profs. Thomas Demeester, Jan Fostier, and Kathleen Marchal, combining their respective expertise in machine learning, high-performance compute in bioinformatics, and AI for biology.
The PhD fits within the recently launched imec Health Mission, a strategic research track aiming to advance the discovery and development of novel therapeutics over the next 10 years. IDLab Ghent is a key partner in the Health Mission, and leads the first mission project ADAPT (for “Affinity and Developability through AI for Protein Therapeutics”). ADAPT aims to develop AI-based models to design and optimize antibodies and nanobodies with high binding affinity and optimal developability properties, in a collaboration with several imec research groups and key industrial partners from the Ghent area specialized in nanobody technology.

Deadline : Dec 31, 2024

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(13) PhD Degree – Fully Funded

PhD position summary/title: PhD Student

We are seeking a dedicated and qualified enthousiast to undertake research on sustainable wear-resistant eco-polymers, with a focus on finding green alternatives to PTFE (PFAS).

The investigation will focus on potential substitutional materials to PTFE and PTFE-containing polymer sliding machine elements and tribotechnical components. This reasearch aims to investigate the abrasive wear behavior, including wear micro-mechanisms, surface and micro-geometry changes along with other tribological properties such as friction in contact. Additionally, the study will explore wear particle generation and embedding characteristics. The research will be conducted under various pressure-velocity conditions, providing a basis for comparison. The goal is to offer comprehensive insights for effective polymer sliding element and tribotechnical component selection, as well as engineering design.

This position offers the opportunity to delve into polymer tribology and contribute to the advancement of environmentally conscious materials science. As part of our research team, you will have the opportunity to develop specialized skills in tribology and gain valuable experience in interdisciplinary research methodologies. You will meet and interact with several (international) companies working in this future-oriented domain.

At least 90% of your assignment will be spent on academic research in preparation of a doctoral dissertation.
You will contribute to publications, presentations and other dissemination and communication material; and collaborate with internal and external stakeholders to discuss material selection, the research results and implement future solutions.

Deadline : Sep 20, 2024

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(14) PhD Degree – Fully Funded

PhD position summary/title: PhD Student electrophoresis in advanced configurations

In the LCP group of Ghent University (lcp.elis.ugent.be) we have a long history of modelling and testing electrophoretic motion of particles in polar and nonpolar liquids. Our goals are to understand the underlying physical mechanisms and to develop or improve new technologies based on this knowledge, such as electronic ink displays, smart windows, manipulation of particles at the microscale and electrodeposition. In recent experiments and prototypes we noticed that phenomena occur that cannot be explained by the one-dimensional models that we developed and commonly use. The PhD candidate will continue our recent research in these new phenomena by designing and creating new microstructures that highlight the observed novel effects and that lead potentially to promising new applications. The experimental work is accompanied by theoretical and computer modelling. A performant model will allow a more realistic simulation of electrophoretic systems, widening our understanding of the phenomena and enabling the improvement of current designs and or development of new designs.

Deadline : Sep 30, 2024

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(15) PhD Degree – Fully Funded

PhD position summary/title: PhD Student

The performance of industrial gearboxes often varies due to subtle manufacturing differences, lubricant property changes, assembly inconsistencies, and fluctuating operating conditions. These variations, even in gearboxes of the highest quality, can affect durability and NVH (Noise, Vibration, and Harshness) performance unless carefully mitigated. Traditional gear design approaches, governed by standards such as DIN 3990, ISO 6336, or AGMA 2001, fall short in addressing the impact of within-tolerance surface roughness, geometric deviations, and changes in lubricant properties. As a result, these factors significantly influence contact dynamics and overall gearbox performance.
To address these challenges, Ghent University, in collaboration with Flanders-Make and KULeuven, launched the research project Rolux. This project aims to develop innovative methodologies and simulation tools for designing robust, high-performance lubricated gearboxes. A central focus of the project is creating a precise, yet computationally efficient, Thermo-Elastohydrodynamic Lubrication (TEHL) solver for rough gear contacts using advanced modelling techniques.

Positions & Tasks – As a PhD candidate, you will lead the development of a highly reliable and computationally efficient code to simulate 2D/3D Thermo-Elastohydrodynamic Lubrication (TEHL) in lubricated contacts, particularly in gear meshes. Your work will involve implementing advanced discretization schemes and numerical algorithms to solve the complex, multi-physics problems of elastic deformation, fluid flow, and heat transport, all within a reduced-order modelling framework. The dual-use solver you create will function both as a standalone tool and as a plug-in for other software, maximizing computational efficiency through Parallel C/C++ implementation and leveraging existing scientific computing libraries (e.g. PetSC) and potential GPU acceleration.

Deadline : Oct 12, 2024 

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(16) PhD Degree – Fully Funded

PhD position summary/title: Doctoral fellow

We are hiring a doctoral fellow on the topic of “Circular and zero-waste design and performance of wood-based building materials from local and underutilised wood sources “. You will be part of an international and interdisciplinary consortium, working on a Horizon Europe project “WoodStock” that investigates climate-smart construction methods using underutilised wood resources like locally harvested hardwood, low-quality and post-consumer wood.

As a collaborator on the project, you will research and develop new zero-waste concepts for structural systems and products from local wood sources, with a specific focus on hardwoods and reclaimed wood components. You will investigate how to exploit wood properties related to hardwoods and post-consumer wood to optimally implement these in building materials. To do so, you will review current, historical and innovative practices, co-create and elaborate the zero-waste concepts and assess their performance. The co-creation will happen in the context of the WoodStock Living Labs, where you will collaborate with students and actors from a.o. the wood and construction industry.

You will be part of the UGent-Woodlab (Faculty of Bioscience Engineering) and the UGent Building Physics research groups (Faculty of Engineering and Architecture), who have been collaborating on topics related to wood and bio-based building materials for over 7 years.

Deadline :Sep 15, 2024

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(17) PhD Degree – Fully Funded

PhD position summary/title: PhD Student statistics/ machine learning

The BIOSTAT research group of the Faculty of Bioscience Engineering at Ghent University is seeking for a highly motivated and talented PhD student working at the interface of mathematical statistics and machine learning. The group (www.biostat.ugent.be) is part of the Department of Data analysis and Mathematical Modelling which has a long tradition in the development and application of statistics in the field of bioscience engineering.

The PhD student will work on the development of spatio-temporal data analysis techniques tailored to the challenges that can arise in environmental settings. The research is defined within the context of the Flanders AI (artificial intelligence) Project (FAIR2) and will be concerned with ways to compute optimal data collection strategies in space and time through e.g. the use of Bayesian methodologies. Besides, the study and occurrence of extremes can be of interest. Computational methods (e.g. resampling methods, Monte Carlo theory among others) will play an important role in this research next to Bayesian statistical modelling with e.g. hierarchical modelling, GAMMs or Gaussian processes.

Deadline :Sep 15, 2024 

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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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