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PDEng Robust AI for automotive signal processing ICs

PDEng Robust AI for automotive signal processing ICs

TU/e is opening a PDeng vacancy in the field of Robust AI for automotive signal processing ICs.
Professional Doctorate in Engineering (PDEng trainee)
Electrical Engineering
Graduate Program(s)
Electrical Engineering
Date off
Reference number

Job description


Future cars will incorporate ever more artificial intelligence (AI) to support driver safety, navigation, and comfort. Much of this AI will be embedded in integrated circuits (ICs) that serve, for example, to sense and perceive the car's environment and to support wireless communication and radio reception. To help drive this development TU/e has teamed up with NXP, the globally leading Automotive

IC design company, in a joint research program. In this program PhD and PDEng students will be co-supervised by top AI experts from TU/e and top automotive IC-design experts from NXP, and students will also be hosted by NXP on a part-time basis. As a result, the positions in the program offer a unique combination of high-quality scientific and industrial experience.

The following position in this program is still available:

PDEng position on Radar Data Base development

For the development of radar AI techniques a rich data base of real-world radar data is essential. Within NXP an experimental car equipped with radar sensors is available for this purpose. This PDEng position is aimed at upgrading this car for future research needs. The candidate is expected to familiarize him/herself with the existing car (HW and SW), collect the upgrade requirements by interfacing with the multiple stakeholders and design and implement the upgrade with regular interactions with the stakeholders and the support of NXP experts. The candidate is also expected to support the implementation of measurement campaigns, use the car to collect data for specific experiments and ensure that the database is properly populated with the collected data.

N.b.: the Professional Doctorate in Engineering (PDEng) program is a 2-year program that develops students' capabilities to work within a professional engineering context, in an application- and system-design-oriented setting.

Job requirements

For this position we are looking for talented, team-working-oriented and inquisitive candidates with an electrical engineering background and strong signal processing or AI skills. Applications from computer science and AI MSc students with strong affinity for signal processing, sensing and hardware implementation are also welcomed.

Conditions of employment

Conditions for the PDEng position:

  • A meaningful job in a dynamic and ambitious university with a close relationship to industry.
  • A full-time employment for two years.
  • To support you during your PDEng and to prepare you for the rest of your career, you will have free access to a personal development program for PDEng trainees.
  • A gross monthly salary of € 2.009 on a fulltime basis and benefits 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.
  • 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.

Information and application

More information

Do you recognize yourself in this profile and would you like to know more? Please contact J.W.M. Bergmans: j.w.m.bergmans[at]

For information about terms of employment, please click here or contact HR Services: hrservices.flux[at]

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We invite you to submit a complete application by using the 'apply now'-button on this page.
The application should include:

  • A cover letter in which you describe your motivation and qualifications for the position.
  • A curriculum vitae, including a list of your publications and the contact information of three references.
  • Copies of relevant BSc and MSc diplomas and grade transcripts.

We look forward to your application and will screen it as soon as we have received it. Screening will continue until the position has been filled.

We do not respond to applications that are sent to us in a different way.

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