Range anxiety and packaging are the major barriers in the large-scale electrification of various mobility segments ranging from passenger vehicle to commercial vehicles. There is not one electrical drive technology which can answer the need of different solutions. Every application needs its own specific design solution, which need to be evaluated in the so called feasibility studies. The target of such studies include optimization calculations for total cost of ownership, efficiency, packaging, etc. By introducing modular (scalable) motor solutions, component pre-development (thus system) costs can be reduced. Furthermore, scalable solutions are ideal for combined efficiency packaging optimization (of the vehicle), which either increases the range or the efficiency. Grey-box models provide a good balance between high-accuracy and time-optimized calculation methods, which make them ideal for scalable electrical machine solutions.

Your tasks will comprise development of grey-box models of different electrical machine technologies, ranging from high-efficient, magnet-biased towards cost-effective reluctance machines. The models will provide a bridge between high-fidelity model-based approaches and data-driven models typically used in the application software of the electrical drives. The multi-physical model approach will cover 4 scaling modules for the electrical, magnetic, mechanical and thermal energy domains. Depending on the system optimization parameters, these modules will be treated at different detail levels to make a good balance between model accuracy and simulation time. Your findings will contribute to the transition from model-based to data-driven approaches which integrate big data for electrical drive designs. Additionally, your findings will contribute to the active projects within the EPE group and TUe research institutes (CPSe & EAISI-Responsible Mobility). Besides research you will also contribute to education within the department. Apart from supervising BSc and MSc students in their research projects, other assistance in education, e.g. in bachelor courses, is usually limited to around 5% of your contract time.

About the EPE group:

Eindhoven University of Technology (TU/e) is a world-leading research university specializing in engineering science & technology. The Department of Electrical Engineering is responsible for research and education in Electrical Engineering. The discipline covers technologies and electrical phenomena involved in computer engineering, information processing, energy transfer and telecommunication. The department strives for societal relevance through an emphasis on the fields of smart sustainable systems, the connected world and care & cure. The TU/e is the world's best-performing research university in terms of research cooperation with industry
(#1 since 2009).

The EPE group consists of 2 full professors, 10 associate and assistant professors, several postdocs, about 30 PDEng and PhD candidates and support staff. The EPE group is world-renowned for 6-DoF planar motors and levitated stages, wireless energy transfer concepts, tubular actuation concepts, and high-precision power electronics. The main focus areas of the EPE group are applied and fundamental research in the clusters of high-precision technology, automotive, medical, renewable energy and grids.

We are looking for candidates matching the following profile:

• MSc diploma in Electrical Engineering or Applied Physics with specialization towards electromagnetic, electromechanical and power electronics systems
• Strong affinity with classical and state-of-the-art multi-phase electrical machine design and control, as well as their experimental validation
• Solid practical skills in parameter identification of electrical drive systems towards their lifecycle analysis (e.g. fault-tolerant operation, winding analysis, vibration, etc.)
• Experience in programming and machine simulators (Matlab, Simulink, Phyton, Ansys, Altaire etc.)
• Knowledge of and experience in these fields is a big plus:
• Axial flux machines
• Mobility systems and/or industrial servo applications
• Thermal system engineering
• Model order reduction
• Machine learning techniques
• Classical and modern control theory

• A very strong analytical background, with sound mathematical skills and excellent problem solving abilities for multi-physical systems
• Ability to independently organize your own work, to solve problems, to achieve desirable goals and to cooperate
• Project management skills are a plus
• Ability to participate in the teaching process in BSc and MSc programs (both taught in English)
• Good scientific writing and documentation skills
• Strong command of the English language (knowledge of Dutch/German language is a plus)
• Excellent scientific writing skills, preferably proven with peer-reviewed publications
• Ability and willingness to participate in the educational program offered by the group in the BSc and MSc programs (both taught in English)

• A meaningful job in a dynamic and ambitious university with the possibility to present your work at international conferences.
• A full-time employment for four years, with an intermediate evaluation (go/no-go) after nine months.
• To develop your teaching skills, you will spend 10% of your employment on teaching tasks.
• To support you during your PhD and to prepare you for the rest of your career, you will make a Training and Supervision plan and you will have free access to a personal development program for PhD students (PROOF program).
• A gross monthly salary and benefits (such as a pension scheme, pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labor Agreement for Dutch Universities.
• Additionally, an annual holiday allowance of 8% of the yearly salary, plus a year-end allowance of 8.3% of the annual salary.
• Should you come from abroad and comply with certain conditions, you can make use of the so-called '30% facility', which permits you not to pay tax on 30% of your salary.
• A broad package of fringe benefits, including an excellent technical infrastructure, moving expenses, and savings schemes.
• Family-friendly initiatives are in place, such as an international spouse program, and excellent on-campus children day care and sports facilities.