PhD in AI for Electromagnetic Compatibility: Eindhoven University of Technology (TU/e) is offering a PhD position in the field of Artificial Intelligence (AI) applied to electromagnetic compatibility in medical electronic equipment under the PATTERN project, a Marie Sklodowska-Curie Actions Doctoral Network funded by the EU.
Designation
PhD Candidate (Electromagnetic Noise Footprint in Cables)
| Attribute | Details |
|---|---|
| FTE | 1.0 |
| Date of Appointment | During 2025 |
| Duration | 48 months |
| Reference number | V36.7931 |
Research Area
- Artificial Intelligence
- Electromagnetic Compatibility
- Medical Electronic Equipment
Location
Eindhoven University of Technology, Eindhoven, Netherlands
Includes secondment at Safran (FR) and CNRS (FR) for 2-4 months.
Eligibility/Qualification
- MSc degree in electrical engineering or relevant program (to be completed by the end of 2025).
- Interest and/or knowledge in Machine Learning and Data-driven modeling.
- Good communication skills and ability to work in a research team.
- Proficiency in English (spoken and written).
Mobility Criteria:
Candidates must not have resided or conducted main activities in the Netherlands for more than 12 months in the last 36 months.
Description
The PhD candidate will focus on understanding the exchange of parasitic energy of cables with their environment using AI tools. The key objectives include:
- Developing a structural understanding of the ElectroMagnetic Noise Footprint (EMNF).
- Combining multiple EMNFs to optimize cable routing in MedTech products.
The position offers involvement in a high-quality research environment with professional training opportunities, aimed at addressing societal challenges in EMI solutions.
How to Apply
Interested candidates should submit the following documents:
- Detailed CV (Europass format mandatory).
- Motivation letter.
- Transcripts of bachelor and master’s degrees.
- Proof of eligibility regarding mobility criteria and English proficiency.
Candidates will also present a 20-minute presentation on a relevant peer-reviewed paper and may be interviewed online.
For more information on the application process, visit the TU/e application page.
Last Date to Apply
The vacancy will remain open until the position is filled. Applications are encouraged promptly.
For further inquiries, please contact:
Dr. Irène Roc’h
Email: a.roch@tue.nl
Or contact: pattern@tue.nl
