PhD:AI to combine and model Electromagnetic Noise Footprint (EMNF) in PCB Tracks

At the faculty of Electrical Engineering at Eindhoven University of Technology, a PhD-position is available within the PATTERN project, a Marie Sklodowska-Curie Actions (MSCA) Doctoral Network funded by the EU. The position is open for appointment during the course of 2025, with a duration of 48 months hosted by TU/e, and includes a 2-4 months secondment at KU Leuven (BE) and Idiada (CZ).

We are looking for you!

Do you want to be trained to take up a key position mixing electronics and AI for medical electronic equipment? While being part of a prestigious MSCA doctoral network working on the embedding of existing AI technology into a the design for electromagnetic interference in medical equipment? This is your chance!!

This Doctoral Candidate (DC) first goal will be to unravel a structural understanding of the exchange of parasitic energy a PCB Tracks with its environment using AI tools. The so-called EMNF (ElectroMagnetic Noise Footprint) comprises a set of characteristic curves obtained from stand-alone measurements on a PCB. A second goal will consist in exploring how to combine two or more EMNFs. The work will support an optimization (within the Safe and Sustainable by Design framework) of PCB routing by combining EMNFs.

Research Programme Description

PATTERN - European Doctoral Network Enabling Artificial Intelligence for Electromagnetic Compatibility consortium is funded by the European Union under Grant Agreement No. 101169295 and UKRI. It groups 9 hiring Universities: Eindhoven University of Technology (NL), University of Twente (NL), KU Leuven (BE), Universiteit Gent (BE), Tomáš Baťa University (CZ), Technische Universität Hamburg (DE), CNRS (FR), NOVA University of Lisbon (PT) and De Montfort University (UK). PATTERN will create a long-lasting, multidisciplinary, academic-industrial network for doctoral training, with leading European industry and academia, to achieve a breakthrough in the design of innovative EMI solutions, throughout their lifecycle, with AI acting as the key enabler of a new design philosophy. For this inclusion to occur, each DC will develop through their research the missing dedicated components, tools and techniques, and apply them to a representative set of EMI solutions under development. This hands-on training is supplemented with several scientific professional courses and an immersive training where the DCs can fine-tune their skills for the Jobs of tomorrow, while addressing the societal challenges of the PATTERN program.

About Universities and companies hosting this position

• 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.
• KU Leuven is the largest university in Belgium and a LERU Charter member. In Horizon 2020, KU Leuven currently has more than 330 approved projects, and is in 11th place for European institutions hosting ERC grants, which is a manifestation of the three pillars of KU Leuven: research, education and service to society.
• IDIADA CZ, a.s. is part of the Applus+ corporation, in particular the Spanish company IDIADA, which currently employs more than 2,500 professionals in Spain and its branches in 12 countries in Europe, South America and Asia. They are one of the most experienced and strongest suppliers of comprehensive development solutions in the automotive and engineering industry in the Czech Republic.

Requirements:

We are looking for a candidate who meets the following requirements:

• You are creative and ambitious, hard-working, and persistent.
• You have a MSc degree or you will have it by the end of 2025 in electrical engineering or any other relevant program.
• You have theoretical and applied knowledge or interest in Machine Learning, Data-driven modelling,  and/or electrical engineering (with electromagnetism).
• You have good communicative skills, and the attitude to partake successfully in the work of a research team.
• You have a good command of the English language (Spoken and Written).

Salary Benefits:

The successful candidates will receive an attractive salary in accordance with the MSCA regulations for Doctoral Researchers. The nominal (gross) amount includes (at least) a living allowance (€3400 per month, country coefficient applies to allow for the difference in cost of living in different EU Member States), a mobility allowance (€600 per month), and a family allowance (€660 per month, if applicable). Deductions will apply for social security contributions and/or taxes according to the applicable national laws of the country were the recruiting organization is located.

Eligibility and mobility criteria (mandatory requirements EU rules)

• Supported researchers must be doctoral candidates, i.e. not already in possession of a doctoral degree at the date of the recruitment.
• Recruited researchers can be of any nationality and must comply with the following mobility rule: they must not have resided or carried out their main activity (work, studies, etc.) in the country of the recruiting beneficiary for more than 12 months in the 36 months immediately before their recruitment date. For 'International European Research Organisations' (IERO), 'international organisations', or entities created under Union law, the researchers must not have spent more than 12 months in the 36 months immediately before their recruitment in the same appointing organisation. Compulsory national service, short stays such as holidays and time spent by the researcher as part of a procedure for obtaining refugee status under the Geneva Convention are not considered.

38 hours per week

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