30 Fully Funded Doctoral Positions
at Ghent University, Belgium
Ghent University, Belgium is
seeking online applications for various Fully Funded Doctoral Positions at
their different Departments. We have compiled a list of Fully Funded PhD
opportunities presently available at Ghent University, Belgium.
Candidates that meet the
requirements submit their applications as soon as possible.
About Ghent University, Belgium
Ghent University is an
internationally renowned, open, pluralistic and socially engaged university in
Belgium. Ghent University is an open, pluralistic and socially engaged
university. It is more than 200 years old, offers more than 200 programmes
(including 64 English-taught master's programmes) and conducts in-depth
research within a wide range of scientific domains. Our organisational model
provides autonomy for 11 faculties and their departments, supported by 9
central administrative departments.
Recently Advertised Postdoctoral Position
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Recently Advertised Doctoral Position
Doctoral Position: Doctoral
fellow in Department of Translational Physiology, Infectiology and Public
Health
We have one funded doctoral
position (4 years) immediately available in the Laval lab. Based on exciting
recent data and using the pig as a model, this project aims to examine how
peripheral viral infections may trigger a rapid neuroinflammatory response in
the peripheral and central nervous system (PNS/CNS) with long-term consequences
(e.g., neurodegeneration) in the brain. This project is part of a
Geconcerteerde Onderzoek Actie (GOA) project awarded to the lab by Ghent
University. You hold Master in veterinary medicine.
Deadline: 30 June 2023
Doctoral Position: PhD researcher
- Techno-economic analysis of data-enabled ecosystems based on Solid technology
in Department of Information Technology
imec is a 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. By leveraging our
world-class infrastructure and local and global ecosystem of partners across a
multitude of industries, we create ground breaking innovation in application
domains such as healthcare, smart cities and mobility, logistics and
manufacturing, and energy. Digital platforms are constantly gaining importance.
Data is a valuable resource allowing building applications in different
domains. Based on personal data even more added value can be created for end
users. Collecting multi-modal mobility data on a cloud-based platform, for
example, can enable a multitude of traffic management solutions. Under the
supervision of a professor and a postdoc researcher in the team, you will
prepare a PhD dissertation over duration of about 4 years. You perform
cutting-edge research in the domain of techno-economic evaluation of digital
platform ecosystems enabled by Solid technology. You hold a Master degree in Computer
Science, Computer Science Engineering, Electrical Engineering, IEOR or
Commercial Engineering and Strong interest in economic evaluation of
technological projects.
Deadline: 31 August 2023
Doctoral Position: PhD
researcher: Understanding business models for sustainable local energy
solutions in Department of Information Technology
The IDLab techno-economics team
where this vacancy is offered 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.
Business models for sustainable local energy solutions
Contemporary energy challenges lead to an increased importance of local energy
solutions. The installation of local sustainable energy sources, like
PV-panels, heat pumps, etc. can lead to lower dependence on fossil fuels. A
good fit between local supply and local demand can lead to higher degrees of
self-sufficiency for specific neighborhoods or communities and therefore a
lower dependence on the energy grid. Electrical vehicles can be charged at
off-peak times to allow for a lower peak usage. Intelligent solutions like
smart optimization techniques can help to optimize all these decisions. Under
the supervision of a professor and a postdoc researcher in the team, you will
prepare a PhD dissertation over a duration of about 4 years. You perform
cutting-edge research in the domain of techno-economic evaluation of smart energy
solutions. You hold a Master degree in Computer Science, Computer Science Engineering,
Electrical Engineering, IEOR or Commercial Engineering and Strong interest
in economic evaluation of technological projects.
Deadline: 31 August 2023
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Doctoral Position: Doctoral
fellow in Department of Geography
In this project, the student
will have the opportunity to contribute to developing the ALARO regional
climate model, particularly regarding its tropical precipitation performance.
The ALARO model is one of the canonical configurations of the ALADIN system,
embedded in the ACCORD consortium, which brings together 26 National
Meteorological Services. It is specifically designed to target the convective
grey zone (1 – 10 km grid spacing) and is used for operational numerical
weather prediction and regional climate modelling. To evaluate the performance
of ALARO, the student will make extensive use of the U.S. Department of Energy
(DoE) Atmospheric Radiation Measurement (ARM) User Facility observations in the
Amazon (GO Amazon), West Africa (AMMA) and Australia (Darwin, TWP). You hold a
master’s degree in Physics, Mathematics, Earth Sciences, Engineering, or
equivalent. You are skilled in programming in FORTRAN and Python (or
equivalent) and have a good understanding of atmospheric physics.
Deadline: 01 June 2023
Doctoral Position: PhD Student
- Magnetically driven material (re)organization in a reactor for intensified
CO2 conversion in Department of Electromechanical, Systems and Metal
Engineering
The aim of this 4-year project
is to develop and optimize a reactor that utilizes magnetic fields for
intensified CO2 capture and conversion. By employing time and spatially varying
magnetic fields, materials with different functionalities and magnetic
properties, are driven towards a specific spatial organization in the reactor,
leading to an intensified CO2 conversion. This type of reactor is also referred
to as a magnetic field assisted fluidized bed reactor (MAFB). The project will
investigate the optimal magnetic fields and coil design required to achieve
this behavior through a combination of experiments and computational modeling.
You will work closely with fellow researchers who will model the reactor’s
hydrodynamics, with inclusion of reaction kinetics. Moreover, they will obtain
data by testing the experimental reactor in-situ to support the modelling
results for the hydrodynamic and magnetic model. We are looking for a
computationally oriented PhD student with a mechanical engineering
degree (or equivalent) to join the MACBED team. The student will conduct
experiments to obtain the magnetic characteristics of the materials and measure
their resulting movement for specific magnetic fields using a magnetic
targeting setup.
Deadline: 01 June 2023
Doctoral Position: PhD Student
in PASTIME project in Department of Electronics and Information Systems
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. You have
excellent skills in physics/mathematics (for method development) and you
enjoy abstract thinking. You are skilled in scientific programming, data
analysis, and dealing with large data (computational tools for generating
and analyzing data of complex molecular systems), for instance with Python
(or equivalent). Ideally, you have also knowledge in statistical physics,
biophysics or material physics, programming, scientific communication.
Deadline: 15 April 2023
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Recently Advertised Doctoral Position
Doctoral Position: PhD Student
in Department of Languages and Cultures
For the department of Languages
and Cultures (African Studies) at UGhent we are looking for 1 PhD candidate to
do ethnographic research within the framework of the project ‘Green Science,
Technology and Innovation from the South: an interdisciplinary, ethnographic
study of organic pesticide production (pyrethrum) in Kenya, Rwanda and
Tanzania’. You hold a Master's degree with academic distinction in Social
and Cultural Anthropology, African Studies or an equivalent field of study
(development studies, human geography, qualitative sociology)
Deadline: 15 April 2023
Doctoral Position: PhD vacancy
in scheduling and control algorithms for future networks in Department of
Information Technology
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.
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. You hold a
Master degree in Computer Science, Informatics, Mathematics or Physics.
Deadline: 31 August 2023
Doctoral Position: Phd Student
Machine Learning for engineering in Department of Information Technology
IDLab is a core research group of imec, a world-leading research and innovation hub in nanoelectronics and digital technologies, with research activities at Ghent University. IDLab performs fundamental and applied research on data science and internet technology, and is, with over 300 researchers, one of the larger research groups at imec. The activities of the Ph.D. position are embedded in this stimulating environment with a focus on data-efficient machine learning (or surrogate modeling) techniques to solve complex and challenging engineering problems with use cases from various engineering disciplines such as electrical and mechanical engineering. You have (or will obtain in the next months) a master's degree in Computer Science, Mathematics, Informatics, Engineering, or equivalent, with excellent ('honors'-level) grades and Experience with machine learning algorithmic approaches or frameworks (such as PyTorch, Tensorflow, GPFlow, etc.) is considered a plus.
Deadline: 30 June 2023
Doctoral Position: PhD student
on computational modeling of ultrasound neuromodulation in Department of
Information Technology
Ultrasound has gained attention
in the last decade for the application of high-precision non-invasive
neuromodulation. In contrast to existing electrostimulation technologies,
ultrasound can reach deep targets with millimeter precision and without surgery.
However, limited understanding of the mechanisms by which ultrasound interacts
with neurons has hampered systematic neural engineering studies that aim to
design ultrasound neuromodulation therapies for the treatment of brain and
peripheral nervous system disorders. The offered PhD position is embedded
within an international project, with the aim to develop an experimentally
validated computational pipeline of ultrasound propagation and neuron-coupling
for non-invasive peripheral nervous system stimulation. We are looking for
enthusiastic candidates to perform research on the development of computational
models of ultrasound-neuron coupling mechanisms (mechanosensitive ion channels,
radiation force induced membrane bending, intramembrane cavitation, etc.). Candidates
with a master’s degree in biomedical engineering, electrical engineering and
physics engineering qualify for this research job.
Deadline: 30 June 2023
Doctoral Position: Doctoral
fellow in Department of Geology
The Research Group
PProGRess/UGCT, is now looking for a highly-motivated applicant to fill a PhD
position on conservation of building stones. Physical, chemical and biological
weathering has a profound impact on the Earth’s landscape and on its building
infrastructure. Rock and masonry are constantly damaged and disaggregated by
chemical reactions, water infiltration and temperature changes. he key to
manipulating weathering lies in understanding and controlling fluid flow within
the internal pore structure of rocks and thereby influencing the related
pore-scale processes. Within this PhD study new conservation techniques will be
studied in order to contribute to stone conservation. The PhD candidate will
engage in a trans-disciplinary international research environment by closely
collaborating with the PProGRess/UGCT team of postdoctoral fellows and PhD
students, at Ghent University as well as the research Team of Prof. Cnudde at
Utrecht University, working on the VICI project BugControl. We are seeking
a PhD candidate with a Master's degree in Geology. The applicant must
have good practical lab skills and is ideally familiar with imaging techniques
(optical microscopy, SEM) and has a strong interest in stone weathering
and conservation.
Deadline: 31 March 2023
Doctoral Position: PhD Vacancy
Applied AI-researcher: Enrichment of heritage collections
For centuries data about our
history and heritage has been kept secure by institutions such as museums,
archives, and libraries. Today this data is very often kept in its original,
fragile physical form e.g., books, paintings, herbariums, old tapes,
newspapers, etc. If you want to join our team in opening up this data and to proving
its relevance today, this job description might be for you! For this position
we are looking for a motivated candidate for a PhD student position (1 year + 3
more years after positive evaluation) in the areas of applied AI, Computer
Vision, and FAIR data. You hold master's degree with a strong focus on
ICT (e.g., Master of Science in Computer Science Engineering, Master of
Science in Informatics, Master of Science in Computer Science, or similar).
Deadline: 30 June 2023
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Recently Advertised Doctoral Position
Doctoral Position: PhD Student in
Department of Internal Medicine and Pediatrics
The current PhD position is
available for a highly motivated candidate to work on a granted
multi-disciplinary project within the research group of Prof. Mo Lamkanfi, and
involving several other research groups at Ghent University. The main aim of
the PhD project is to define molecular mechanisms regulating cell death
induction by Gasdermin family members and to address their role in cancer and
autoinflammatory diseases. In this regard, the PhD student will setup
experiments using cutting-edge CRISPR-Cas9 genome-wide screening approaches and
retroviral transduction technologies to discover and functionally knockout or
tag potential genes that modulate lytic cell death activation in primary
hematopoietic and epithelial cells of human and murine origin. In this project,
we will also make use of advanced confocal microscopy, flow cytometry and mouse
transgenesis to understand how lytic cell death contributes to inflammatory and
neoplastic pathology. You hold an MSc/Masters’ degree in Biochemistry
& Biotechnology, Bio-engineering, or equivalent related fields from a
recognized university.
Deadline: 02 June 2023
Doctoral Position: PhD
researcher in Techno - economic evaluation of 5G and drone-based solutions in Department
of Information Technology
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. The IDLab techno-economics team where this
vacancy is offered 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.
You hold a Master degree in Computer Science, Computer Science Engineering,
Electrical Engineering or IEOR.
Deadline: 30 September 2023
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Doctoral Position: PhD vacancy
on network architectures for high performance computing in Department of
Information Technology
imec is a 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. By leveraging our
world-class infrastructure and local and global ecosystem of partners across a
multitude of industries, we create groundbreaking innovation in application
domains such as healthcare, smart cities and mobility, logistics and
manufacturing, and energy. 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. In these projects, the IDLab NetModel team is responsible for
the design of novel routing and network control algorithms. The PhD research
will encompass a very broad exploration of topologies in the link- and
networking layer. This includes varying design parameters as well as comparing
a range of multi-stage switching or multi-layer network architectures. The PhD
research will also examine the design of network control algorithms in support
of HPC workloads by involving the setup and scheduling of connections and/or
broadcasting trees, considering the underlying (electrical or optical) network
and the bandwidth, data access, and timing requirements defined by the
applications. You hold a Master degree in Engineering, preferably
Computer Science, Electrical Engineering or Photonics and Strong mathematical
and analytical skills for designing and implementing abstract models.
Deadline: 31 August 2023
Doctoral Position: 2 PhD Fellows
in Department of Structural Engineering and Building Materials
AFireTest is a 1.5 million EUR
project funded by the European Research Council (ERC). 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 current PhD
position, the information value of a fire test will be quantified. Glazing acts
as a case study material. The PhD consists of (i) the development of an
open-source database with reference uncertainties for fire-exposed glazing;
(ii) predictive modelling of fire-exposed glazing (finite element modelling and
experimental testing); (iii) model uncertainty quantification (comparison of
simulations with experiments); and (iv) quantification of the information gain
from fire tests (building upon the previous items). Applicants should have
experience with (or should demonstrate the capability to learn): (i) fire
exposure; (ii) finite element modelling; (iii) probabilistic calculations.
Experience with glass modelling or testing is a plus. You hold a Master in Fire
Safety Engineering; Master in Structural Engineering, or related field; Master
in Engineering.
Deadline: 01 April 2023
Doctoral Position: 2 Doctoral
Fellows in Department of Structural Engineering and Building Materials
AFireTest is a 1.5 million EUR
project funded by the European Research Council (ERC). 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
to 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
current PhD position will focus on risk characterization and physics-based
surrogate modelling (sometimes referred to as grey or hybrid machine learning).
This PhD research is envisioned to result in (i) a breakthrough in the
application of machine learning methods to fire engineering problems, by ensuring
compatibility with physical constraints, and (ii) a computationally efficient
("physics-based") surrogate model for evaluation of the risk profile
of buildings. Applicants should have experience with (or should demonstrate the
capability to learn): (i) fire safety science and engineering; (ii) machine
learning; (iii) risk evaluation. You hold a Master in Fire Safety
Engineering; Master in Structural Engineering, or related field; Master in
Engineering.
Deadline: 01 April 2023
Doctoral Position: PhD on Query
Execution over Personal Genomics in Department of Electronics and Information
Systems
Personal Genomics is now
becoming a reality, thanks to the steadily increasing availability of affordable
sequencing technology. Despite the great promise of genomics for personal
health and precision medicine, most institutions, as well as individuals, are
hesitant to share genomic data. Principal reasons are the risk of unethical
handling of the data, for example leading to higher insurance costs at the
level of individuals. Hence, the build-up of trust for sharing this highly
sensitive, identifiable personal information is critical, individually,
nation-wide, and internationally. Decentralization efforts such as Solid offer
a solution to these problems. Solid allows users to be in full control over
their own data, where applications need to ask them for permission to access
their data, instead of the other way around. The combination of Solid and
Genomics leads to “Genome Pods” where individuals can store their genome data
inside a personal repository. Considering the massive scale of genomic data,
major challenges arise when querying over this data, especially when it is
distributed across multiple Genome Pods. The goal of this PhD is to investigate
and design highly performant query execution algorithms, so that query-driven
applications can offer valuable insights into this genomic data. You hold a Master’s
degree in Computer Science, Engineering, Informatics, ICT or related
field and Proficiency of programming and analytics skills in Python, R, or
JavaScript.
Deadline: 30 June 2023
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Recently Advertised Doctoral Position
Doctoral Position: PhD Student
in Department of Geography
We have an exciting opportunity
for a highly motivated PhD student to work on developing and evaluating
regional climate models, focusing on extreme tropical precipitation (fully
funded). Precipitation extremes have profound impacts on societies in the
tropics, ranging from flooding to landslides and land degradation. Regional
climate models are indispensable tools to assess present-day and future
precipitation characteristics. In this project, the student will have the
opportunity to contribute to developing the ALARO regional climate model,
particularly regarding its tropical precipitation performance. The ALARO model
is one of the canonical configurations of the ALADIN system, embedded in the
ACCORD consortium, which brings together 26 National Meteorological Services.
It is specifically designed to target the convective grey zone (1 – 10 km grid
spacing) and is used for operational numerical weather prediction and regional
climate modelling. To evaluate the performance of ALARO, the student will make
extensive use of the U.S. Department of Energy (DoE) Atmospheric Radiation
Measurement (ARM) User Facility observations in the Amazon (GO Amazon), West
Africa (AMMA) and Australia (Darwin, TWP). You hold a master’s degree in Physics,
Mathematics, Earth Sciences, Engineering, or equivalent. You are skilled in
programming in FORTRAN and Python (or equivalent) and have a good
understanding of atmospheric physics.
Deadline: 01 June 2023
Doctoral Position: PhD Student
in Department of Telecommunications and Information Processing
Imec-IPI is looking for a
qualified and motivated PhD student to work on sensor fusion for object
detection and scene analysis. As a PhD student with IPI, you will be located at
the TELIN offices at Campus UFO in Ghent. You will be offered an initial contract
of 12 months, to be extended up a period of 4 years in total with the aim of
obtaining a PhD. The research will be partly fundamental (furthering the state
of the art) and partly applied. You will collaborate with international
industrial partners while embedded in a university research team that is
internationally recognized for its extensive expertise regarding sensor fusion
for autonomous driving, traffic monitoring and industrial safety. In this
research, we will research deep learning methods that combine the spatial
feature extraction methods of traditional CNNs with novel descriptors operating
over variable time windows. These concepts will be applied to and validated
using multiple configurations of sensors including thermal and RGB cameras, lidar
and radar. You will have the opportunity to work with international academic
and industrial partners on use cases that include detection of hazards and
wildlife at sea (which is often partially or entirely submerged) and autonomous
vehicle perception under difficult circumstances. You hold a Master of Science
degree in computer science, electrical engineering or equivalent. You
possess strong knowledge of mathematics, probability theory, image
processing, machine learning, and computer vision and are well versed in Python
and/or C++.
Deadline: 30 June 2023
Doctoral Position: PhD Fellow
in Department of Chemistry
Printed opto-electronics based
on solution processable colloidal semiconductor quantum dots (QDs) can make
available a much-needed small footprint, low cost and flexible platform for
optical sensing, imaging and spectroscopy in the technologically relevant short
and mid-wave infrared (IR) spectrum (1.5 μm – 5 μm). However, while this
revolution took place in the visible spectrum, and is happening at the side of
detection for infrared light, QD-based IR light source technology is currently
expensive, lacking performance and is based on colloidal nanomaterials made of
restricted chemical elements. You will work on expanding the size range of
III-V colloidal quantum dots and developing doping strategies to realize n-type
III-V QDs. A strong background in nano-materials chemistry is recommended. We
will therefore explore a route towards ‘printable IR opto-electronics’ by
investing in three interconnected scientific domains: chemistry,
photo-physics and integrated photonics. In particular, your job will be to
develop a new class of solution-processable semiconductors in the form
of colloidal QDs based on non-restricted elements with efficient infrared light
emission.
Deadline: 01 May 2023
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Doctoral Position: PhD Fellow
in Department of Chemistry
Printed opto-electronics based
on solution processable colloidal semiconductor quantum dots (QDs) can make
available a much-needed small footprint, low cost and flexible platform for
optical sensing, imaging and spectroscopy in the technologically relevant short
and mid-wave infrared (IR) spectrum (1.5 μm – 5 μm). However, while this
revolution took place in the visible spectrum, and is happening at the side of
detection for infrared light, QD-based IR light source technology is currently
expensive, lacking performance and is based on colloidal nanomaterials made of
restricted chemical elements. Your job will be to develop your own
advanced femtosecond spectroscopy setup, analyse completely novel
nanostructured (1-10 nm) materials developed in the team and build
photo-physical models to understand their behaviour on extreme, femtosecond,
timescales. You will work on building custom advanced optical setups, using them
to study nanomaterials and develop consequently photo-physical models for
light-matter interactions in these nanostructured materials. This requires a
strong background in nano-materials physics (semiconductor, quantum
mechanics) and optics. Hence, a Msc degree in (Applied) Physics,
Photonics Engineering or other relevant fields is required!
Deadline: 01 May 2023
Doctoral Position: PhD Student
in Department of Chemistry
Printed opto-electronics based
on solution processable colloidal semiconductor quantum dots (QDs) can make
available a much-needed small footprint, low cost and flexible platform for
optical sensing, imaging and spectroscopy in the technologically relevant short
and mid-wave infrared (IR) spectrum (1.5 μm – 5 μm). However, while this
revolution took place in the visible spectrum, and is happening at the side of
detection for infrared light, QD-based IR light source technology is currently
expensive, lacking performance and is based on colloidal nanomaterials made of
restricted chemical elements. Your job will be to develop light sources and
photo-detectors on the silicon photonics platform in the infrared spectrum.
This will involve clean-room processing, photonic chip design and measurements.
Your PhD will be joint with the Department of Information Technology (Faculty
of Engineering and Architecture). You will be part of a 6-person team –
composed of chemists, physicists and engineers - focused on the same goal, to
realize printable infrared opto-electronics. You will work at the cross-roads
of . This requires a strong background in nano-materials physics (semiconductor,
quantum mechanics) and optics. Hence, a Msc degree in (Applied) Physics,
Photonics Engineering or other relevant fields is required!
Deadline: 01 May 2023
Doctoral Position: PhD Student
in Department of Electromechanical, Systems and Metal Engineering
We have opened a vacancy for a
PhD researcher position with the topic ‘Online efficiency maximization of drive
trainsusing 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. You will
work in the mechatronics research group at the campus Kortrijk. You will
also work closely with industrial partners and Flanders Make, the research
center for the Flemish manufacturing industry. You have a master degree in
engineering, preferably in electromechanical, electrical, automation or control
engineering.
Deadline: 16 April 2023
Doctoral Position: PhD Student
in Department of Applied Mathematics, Computer Science and Statistics
Observational data is
frequently used to draw causal inferences when a randomised trial is not
feasible or ethical. The ‘target trial’ framework attempts to harness design
principles from trials to improve the standard of observational epidemiology.
Researchers are stimulated to first specify a hypothetical target trial, before
trying to emulate it their data, in order to avoid common analytical
pitfalls. This project will focus on several open methodological problems
within the target trial framework, and will involve developing new models and
estimation approaches for emulating target trials using observational data. The
methods will be illustrated using case studies in collaboration with medical
researchers at the Ghent University Hospital. You hold a Master in statistics,
biostatistics, mathematics, computer science or equivalent.
Deadline: 14 April 2023
Doctoral Position: PhD Student
in Bioavailability of silver for freshwater organisms in Department of Animal
Sciences and Aquatic Ecology
Silver (Ag) is a widely used
antimicrobial compound with substantial releases to surface water that can be
toxic to aquatic organisms in the nanogram per liter range. For this reason,
the European Commission has recently listed Ag as a priority pollutant under
the Water Framework Directive, and proposed an environmental quality standard
(EQS) of 10 ng/L. As for other metals, it is known that certain water quality
variables such as pH, and dissolved organic carbon (DOC) concentration, can
affect bioavailability and toxicity by more than 100-fold. However, there is a
lack of experimental data and models to predict chronic silver toxicity to
aquatic organisms. In this project you will combine experimental work
(ecotoxicity tests, metal speciation measurements) with the development of
bioavailability models (e.g., biotic ligand model, BLM). The ultimate aim is to
have a toolbox with validated models that can predict chronic toxicity of
silver to algae, invertebrates and fish, and which can be used to derive bioavailability-based
EQS values. You hold a Diploma of Master of Science in Engineering,
Environmental Sciences, Environmental Technology, Ecotoxicology (or
similar).
Deadline: 19 May 2023
Doctoral Position: PhD Student
in Department of Biotechnology
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 (Merging immunology with synthetic
biology to improve animal health: strain engineering for the production of
structurally defined carbohydrates with immunomodulating properties) 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. You hold a Master degree in Bioscience
Engineering, Biomedical Sciences, biotechnology or equivalent, completed
before the start date of the position, with excellent grades and experience in
the field of synthetic biology for microbial biotechnology will be
greatly appreciated.
Deadline: 01 April 2023
Doctoral Position: PhD Student
in Department of Biomolecular Medicine
Applications are invited for a
4-year PhD fellowship, which will be conducted at the Center for Medical
Genetics, Ghent University Hospital, Belgium.
The research project focusses on the study of molecular mechanisms underlying a
group of inherited conditions caused by defects in five different enzymes
necessary for proper assembly of the proteoglycan linker region and which are
collectively called “linkeropathies”. In this project, knock-in zebrafish
models will be generated and phenotypically characterized. Several genetic,
transcriptomic, proteomic and glycomic approaches will be combined on relevant
tissues to investigate and elucidate molecular pathways that are shared and/or
different between these conditions to obtain a better understanding of the
underlying disease mechanisms. You hold a Master of Science in Biomedical
Engineering, Master of Science in Biomedical Sciences, Master of
Science in Biochemistry and Biotechnology, Master of Medicine in Medicine.
You are willing to learn and adopt a variety of techniques of genetics,
biochemistry, molecular biology and cell biology.
Deadline: 15 May 2023
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