Info
For you as a student

Coaching and education of young engineers and scientists is an important part of quest’s mission. Thereto, we are active in the Bachelor, Master and PhD programs at the Faculty of Engineering and Architecture at Ghent University.

Below, more information and some useful links are provided for (prospective) students and PhD researchers.

Courses

  • BSc in Electrical Engineering (link)
  • BSc in Engineering Physics (link)
  • BSc in Biomedical Engineering (link)
  • MSc in Engineering Physics (link)
  • MSc in Electrical Engineering – Electronic Circuits and Systems (link)
  • MSc in Electrical Engineering – Communication and Information Technology (link)

Master thesis projects

In the last year of the Master programs, we organise Master thesis projects. These projects are in the realm of computational electromagnetics, computational quantum mechanics, and EMC/SI/PI-aware modelling and design. A list of topics and general information can be found below. Please contact Prof. Dries Vande Ginste for further discussion about topics that may interest you. 

For M.Sc. students in Engineering Physics, Electrical Engineering and Physics and Astronomy: 2024_quest_Master_Thesis_general_info.pdf

  • A balanced-to-balanced power divider with integrated common-mode filtering and differential-mode equalization (link)
  • Design of a differential, broadband equalization structure for multilayer PCBs using through-hole via parasitics (link)
  • Characterization and EMC-aware design of millimeter wave structures (link)
  • An accurate, broadband calibration standard for de-embedding asymmetrical, differential circuits (link)
  • Inducing chaotic behaviour in CMOS circuits through transient bursts and ESD events (link)
  • A full-wave integral equation to efficiently compute scattering from large reflectarrays (link)
  • A novel time-domain modelling technique for good conductors in 3-D ICs (link)
  • Accurate modelling and characterization of etching effects with a Fokas-based Dirichlet-to-Neumann operator (link)
  • Enhancing the differential surface admittance operator by adopting a hierarchical matrix-based implementation to model large on-chip interconnect structures (link)
  • Line edge roughness modelling by means of reduced order stochastic testing (link)
  • Modeling and optimization of dense via arrays (link)
  • Design of passive electromagnetic systems via data-efficient machine learning (link)
  • Uncertainty quantification of interconnects with Bayesian inference and polynomial chaos (link)
  • Novel finite-difference time-domain techniques for transition metal dichalcogenide monolayers in valleytronic and spintronic applications (link)
  • Fourth-order symplectic numerical scheme to solve the (3+1)D Maxwell-Dirac equations in nanoelectronic Dirac devices (link)
  • Exploring time-domain integral equations for the Maxwell-Kohn-Sham co-simulation of nanowires (link)
  • Unravelling periodic effects for TDDFT-FDTD simulations of nanoelectronic devices (link)
  • First principles modelling of non-coherent transport phenomena in nanoelectronic devices by means of the non-equilibrium Green ‘s function formalism (link)
  • First-principles modelling of advanced nanointerconnects by means of the non-equilibrium Green ‘s function formalism (link)
  • A novel time-domain modelling technique for good conductors in 3-D ICs (link)
  • Finite element-based multiphysics modelling of Maxwell-Schrodinger systems to analyse quantum effects in nanodevices (link)
  • Fully-collocated implicit (FCI) finite-difference time-domain (FDTD) method for the (2+1)D Dirac equation (link)
  • A full-wave integral equation to efficiently compute scattering from large reflectarrays (link)
  • Accurate modelling and characterization of etching effects with a Fokas-based Dirichlet-to-Neumann operator (link)
  • Enhancing the differential surface admittance operator by adopting a hierarchical matrix-based implementation to model large on-chip interconnect structures (link)
  • Modeling and optimization of dense via arrays (link)
  • Line edge roughness modelling by means of reduced order stochastic testing (link)
  • Design of passive electromagnetic systems via data-efficient machine learning (link)
  • Uncertainty quantification of interconnects with Bayesian inference and polynomial chaos (link)
  • Novel finite-difference time-domain techniques for transition metal dichalcogenide monolayers in valleytronic and spintronic applications (link)
  • Fourth-order symplectic numerical scheme to solve the (3+1)D Maxwell-Dirac equations in nanoelectronic Dirac devices (link)
  • Exploring time-domain integral equations for the Maxwell-Kohn-Sham co-simulation of nanowires (link)
  • Unravelling periodic effects for TDDFT-FDTD simulations of nanoelectronic devices (link)
  • First principles modelling of non-coherent transport phenomena in nanoelectronic devices by means of the non-equilibrium Green ‘s function formalism (link)
  • First-principles modelling of advanced nanointerconnects by means of the non-equilibrium Green ‘s function formalism (link)
  • Finite element-based multiphysics modelling of Maxwell-Schrodinger systems to analyse quantum effects in nanodevices (link)
  • Fully-collocated implicit (FCI) finite-difference time-domain (FDTD) method for the (2+1)D Dirac equation (link)
  • Accurate modelling and characterization of etching effects with a Fokas-based Dirichlet-to-Neumann operator (link)
  • Modeling and optimization of dense via arrays (link)

Internships for Master students

Students interested in doing an internship (with a focus on electromagnetics or quantum mechanics) in a company may contact Prof. Dries Vande Ginste for mentorship.

  • imec
  • Melexis Technologies 
  • Nokia
  • Keysight Technologies
  • Skeyes
  • onsemi
  • ST Engineering iDirect

Info for prospective PhD students

The PhD program at the Faculty of Engineering and Architecture of Ghent University takes four years. General info can be found here.
We are always on the lookout for people who are interested in doing four years of high-level academic research in our area of interest (see Research) and who have completed (or are about to complete) a Master program in a related field. Note that only candidates with a very strong background in mathematics and physics and who are fluent in English (both verbal and in writing) will be considered.
High-profile candidates may send a CV with cover letter and any other relevant info to Prof. Dries Vande Ginste.