PhD Student

Last application date
Sep 15, 2022 00:00
TW08 - Department of Electromechanical, Systems and Metal Engineering
Limited duration
Master in electromechanical or electrical engineering
Occupancy rate
Vacancy type
Research staff

Job description

Topic: Multiphysics modelling of additively manufactured electric machines considering thermal and mechanical properties of different materials and different printing techniques

Ghent University is a top 100 university worldwide and one of the major universities in Belgium, with more than 44,000 students and 15,000 staff members. At the department of Electromechanical, Systems and Metal Engineering (ESME), the modeling and optimization of electromechanical drive trains is an important research topic.

The Electrical Energy Laboratory (EELAB) at UGent is involved in a Marie-Curie-Doctoral-Industrial project (HORIZON-MSCA-2021-DN-01) with the title “New Generation of Electrical Machines Enabled by Additive Manufacturing – EMByAM”.
To improve the performance of the additively manufactured electric machines, accurate multiphysics models are necessary. These models depend on the electromagnetic, thermal and mechanical properties of the employed materials such as conductivity, BH curve, losses, strength, etc. The properties of today’s additively manufactured electric machines materials are mostly still inferior compared to the properties of conventional machines and depend on the specific printing technique and process. The main goal of in this project is to build accurate and parametrized multiphysics models for the additively manufactured electric machines considering different printing techniques, for optimization and design of machines beyond the SoTA.

As a PhD student, you will build multiphysics modelling of additively manufactured electric machines considering thermal and mechanical properties of different materials and different printing techniques. First, in collaboration with other PhD students in the EMByAM project, the electromagnetic, thermal and mechanical properties of the printed materials will be measured for different printing techniques, on samples with simple geometry (e.g. a rectangular strip). Then, these properties will be implemented in the multiphysics models of the electric machines. Later, the created models will be validated by measurements on prototypes of electric machines. During the project, the AM techniques are expected to improve, which will lead to better material properties and to modifications in the material parameters in the models.

The candidate is responsible for the complete implementation of the previous described work and will be enrolled in a PhD program at Ghent University. The candidate will be hired for half the PhD – program (18 months) by a university and the other half by an industry partner. The candidate will also be enrolled in a variety of workshops and training programs of the EMByAM project.

The initial contract duration will be one year, in which you are hired as a PhD researcher. The contract can be extended under the condition of a positive evaluation after the initial period. Ghent University offers an attractive salary with additional benefits, a positive and inspiring working environment and training possibilities. You will work at the Electrical Energy Laboratory in the Tech Lane Ghent Science Park in Zwijnaarde.

Job profile

  • You hold a master of science in engineering, preferably in electromechanical or electrical engineering.
  • You are motivated, creative and have a passion for academic research. You have an affinity with both experimental research and simulation software.
  • You have a strong technical knowledge, expertise and experience in the domain of multiphysics modelling of electric machines.
  • You have good communication skills in English.
  • You like challenging scientific research in a multidisciplinary and international context.

How to apply

Send your CV and motivation letter to before the 15th of September 2022. If you pass the pre-selection, you will receive further instructions on the selection process and will be invited for a job interview, possibly via Teams.