Functional magnetic resonance imaging (fMRI) is a technique to visualize and quantify neural activity in the human brain. The analysis of measured fMRI signals is very complex, including many analysis steps encompassing the use of advanced signal and image processing methods.

Education on fMRI is included in several TU/e Electrical Engineering (EE) courses. It typically consists of oral lectures accompanied by short demonstrations of fMRI analysis software. Consequently, students do not gain any practical experience with fMRI.

The EngD trainee will perform a 15-month design project in which he/she will develop a well-documented fMRI educational software platform, that allows students to get hands-on experience with the various complex fMRI processing steps so that they gain in-depth practical knowledge of and experience with this complex medical image technique. This will enable the students to more easily solve various learning challenges that we will assign to them, and will prepare them for the foreseen increased use of fMRI in clinical research and clinical practice.

About the EngD trainee program at TU/e

The EngD trainee program is a 2-year post-master program containing a mix of theory (by following courses) and practice (by means of the above-mentioned 15-month design project). It is a paid position, and no tuition fee is required. It will enable the trainee to gain deep insights into the latest design methods. The program is in English.

More information: https://www.tue.nl/en/education/graduate-school/engd-at-tue

We expect applicants to have the following qualifications:

• A MSc degree in Electrical Engineering, Biomedical Engineering, Applied Mathematics, Applied Physics or Computer Science
• Preferably basic knowledge of and experience with structural and functional MRI
• Good software programming skills
• Experience with programming in Python
• Excellent communication skills (oral and writing)

A meaningful job in a dynamic and ambitious university, in an international setting with a close relationship to industry. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:

• Full-time employment for two years.
• Salary and benefits (such as a pension scheme, paid pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labour Agreement for Dutch Universities, scale TOIO  (€2,715).
• A year-end bonus of 8.3% and annual vacation pay of 8%.
• To support you during your EngD and to prepare you for the rest of your career, you will have free access to a personal development program for EngD trainees.
• An excellent technical infrastructure, on-campus children's day care and sports facilities.
• An allowance for commuting, working from home and internet costs.
• A Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates.

About the Signal Processing Systems group

The candidate will work in the Signal Processing Group (SPS) at the Department of Electrical Engineering (EE) of TU/e. The Signal Processing Systems group is conducting a broad range of signal and image analysis research for medical applications, digital communication, and lighting systems. The impact of the work of the group is evident from a very close cooperation with industrial, clinical partners as well as with research institutes, and from international recognition and awards granted to the team.

About the Eindhoven University of Technology

Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow. 

Information

Do you recognize yourself in this profile and would you like to know more?
Please contact Prof.dr.ir. Marcel Breeuwer: m.breeuwer@tue.nl, Dr. Sveta Zinger: s.zinger@tue.nl or Dr. Catarina Dinis Fernandes: c.dinis.fernandes@tue.nl.

Visit our website for more information about the application process or the conditions of employment. You can also contact HR Services, email HRServices.flux@tue.nl.

Are you inspired and would like to know more about working at TU/e? Please visit our career page.

Application

You can apply for this job as soon as possible, but not later than December 14, 2024.

Your application should contain the following information:

• Cover letter explaining your motivation and qualifications for the position;
• Detailed Curriculum Vitae (including a list of publications, if any);
• A list of courses taken at the Bachelor and Master level including grades;
• An electronic copy of your MSc thesis (if it is not available, please explain the reason);
• Contact information of at least two references.