Many PhD Degree-Fully Funded for international students at Ghent University, Belgium

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Ghent University in Belgium is currently accepting online applications for several fully funded Ph.D. programs across various departments. Below is a list of available fully funded Ph.D. programs at Ghent University, Belgium. Eligible candidates are encouraged to apply at the earliest opportunity.

Ghent University, situated in Ghent, Belgium, is a public research university with a rich history. Established in 1817 by King William I of the Netherlands, it came under the administration of the newly formed Belgian state after the Belgian revolution of 1830. In 1930, Ghent University became the first Dutch-speaking university in Belgium, replacing the previously used French language at Université de Gand. In 1991, it gained significant autonomy and changed its name from State University of Ghent (Dutch: Rijksuniversiteit Gent, abbreviated as RUG) to its current designation.

Differentiating itself from the Catholic University of Leuven or the Free University of Brussels, UGent identifies as a pluralist university, not affiliated with any specific religion or political ideology. The motto “Inter Utrumque” (‘In Between Both Extremes’) on the university’s coat of arms emphasizes the pursuit of wisdom and science in an environment of peace, with full support from the monarchy and fatherland.

Ghent University is one of the largest Flemish universities, boasting a community of 44,000 students and 9,000 staff members. The university actively supports facilities like the University Library and the University Hospital, one of the largest in Belgium. Recognized as a major recipient of funding from the Research Foundation – Flanders (FWO), Ghent University consistently achieves high rankings, placing among the top 100 universities globally.

Imec is a big research center in Belgium that focuses on nanoelectronics and digital technologies. They work with partners from different industries and countries to create new innovations in areas like healthcare, smart cities, and energy. Imec is a great place to work, with people from over 97 countries. Research Group: IDLab @ Ghent University/Imec. IDLab is a research group at Ghent University and Imec that focuses on internet technologies and data science. They have over 300 experts and collaborate with universities and companies worldwide. Currently, they are looking for a PhD student to work on Real-time 3D view synthesis methods and neural radiance field-based models.

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Ghent University is a top-ranking university in Belgium with many students and staff members. They are part of a European project called “Harmony,” which aims to develop a green and safe recycling process for rare-earth magnets. They are looking for a PhD student to work on optimizing the design of motors using recycled magnets.

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Imec-IPI is seeking a PhD student to work on Real-time 3D view synthesis methods and neural radiance field-based models. The research will be partly fundamental and partly applied, collaborating with international industrial partners. The candidate will be located at the TELIN offices at Campus UFO in Ghent.

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Imec-IPI is looking for a PhD student to work on optimizing and adapting deep learning systems for industrial applications. The research focuses on enhancing the efficiency and scalability of edge AI solutions in the industrial sector. The candidate will collaborate with international industrial partners.

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The research topic involves studying the behavior of ships in restricted waters, such as access channels, canals, and docks. The candidate will use system identification techniques to enhance the training speed of artificial intelligence algorithms for maneuvering in complex environments.

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IDLab Ghent is looking for a PhD student to join the distributed machine learning team. The research focuses on developing efficient machine learning algorithms for perception and control, with applications in industry, robotics, and agriculture.

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The REXPEK project, funded by Flanders Make, aims to achieve first-time-right commissioning of machines using model-based design approaches. The candidate will work on minimizing the reality gap between virtual and physical experiments and reducing the need for physical experiments through optimal machine settings.

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The project involves developing both hardware and software aspects of a novel technique. The candidate will set up experiments at different X-ray sources and detectors, aiming to improve data acquisition and processing/analysis methods.

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The WAVES research group at Ghent University/IMEC focuses on advanced wireless networks and bioelectromagnetics. They are looking for a PhD student to work on physical-layer research related to wireless networks and electromagnetic exposure.

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The EO4PEAT project, funded by the Belgian Earth Observation program, aims to develop techniques for monitoring and modeling peatlands using Earth Observation data. The research focuses on tropical peatlands in Southeast Asia and the Congo basin.

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The Industrial Systems Engineering group at Ghent University is recruiting a PhD student to join its Optimization team. The research focuses on the integration of production planning, inventory control, and vehicle routing.

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The AFireTest project, funded by the European Research Council, aims to develop the next generation of fire testing. The candidate will work on adaptive fire testing, considering factors like material understanding, building risk evaluation, and environmental costs.

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The Ph.D. position is part of research on data-efficient machine learning techniques for complex problems in science and engineering. The candidate will work on Automation in Machine Learning (AutoML) projects using various machine learning algorithms.

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The candidate will work on using parametric geometries to represent variations in dwelling features for energy performance assessment. The research includes benchmarking the performance of a system called NudgeFlow.

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The BioPort research group at Ghent University focuses on extracellular transport over biological membranes related to Industrial Biotechnology and SynBio. The CiTrY project aims to study and engineer C1 transport over yeast membranes.

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IDLab Ghent is seeking a highly motivated PhD student to join the distributed machine learning team. The research focuses on developing efficient machine learning algorithms for perception and control in various applications.

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Ghent University is looking for a doctoral fellow to research the political culture of the Ottoman Empire in the early modern period. The research can cover various aspects of Ottoman political culture, including political and historical thought, diplomacy, and imperial culture.

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The project “AFireTest” is a 1.5 million EUR project funded by the European Research Council (ERC), which started in September 2023. Over a total period of 5 years, 3 PhD researchers and 2 post-doc researchers will jointly develop the next generation of fire testing. Current fire testing is based on standardized tests which do not provide in-depth understanding of material behavior and the impact of design choices on the fire risk in buildings. Within the new concept of fire testing (Adaptive Fire Testing), test specifications will be set with a specific goal of maximizing the net information gained from the test, taking into account (i) the current state of knowledge; (ii) the goal of the assessment (e.g., material understanding vs building risk evaluation); and (iii) the costs of performing the test (including environmental costs).

The research team led by Prof. Esther Hoste is seeking a highly motivated PhD student to explore reciprocal interactions among skin-resident cell types and their implications for injury repair and skin tumor formation. Responsibilities include studying adipocyte-keratinocyte crosstalk in the skin using mouse models of inflammation, wound healing, and tumor formation, alongside cell-based assays. Advanced techniques such as confocal microscopy, flow cytometry, mouse transgenesis, and single-nuclei and spatial transcriptomics will be employed to understand cell-type communications in diverse skin tissue contexts.

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The advent of new sensors is leading to significant data growth with transformative potential in the biomanufacturing sector. Development of a probe at imec with multiple sensors for continuous monitoring of bioreactor processes. Utilizing time series data to create a dynamic digital twin for forecasting key process parameters.Research focuses on deep learning techniques for time series analysis and model explainability, with an emphasis on data analysis using machine learning. No prior experience or knowledge about biomanufacturing processes is required.

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