Tenure-track Assistant Professor in Electrophysiological patient monitoring (V36.3964)

Tenure-track Assistant Professor in Electrophysiological patient monitoring

Universitaire docent
Faculteit Electrical Engineering


Eindhoven University of Technology (TU/e) is one of Europe's leading research universities.
The Eindhoven area, in the southern part of the Netherlands, is one of Europe's top innovation ecosystems, with many high-tech companies and institutes, such as Philips, ASML, NXP, DAF, OCE, and the Holst Centre. TU/e is closely intertwined with many of these companies and institutes, and research at TU/e is characterized by a combination of academic excellence and industrial relevance. Culturally the Netherlands is a very interesting part of Europe. Historic cities such as Amsterdam, The Hague, Maastricht, Brussels, and Antwerp are all within easy reach from Eindhoven.

The Signal Processing Systems group at TU/e has a collaborative, entrepreneurial, and informal working atmosphere, with 16 full-time scientific staff members, 9 senior clinical and industrial experts who are appointed as part-time professor and around 100 PhD students and postdocs. Its strong international scientific reputation is evidenced by e.g. 7 Fellowships of IEEE, AES and OSA.

The position will be embedded in the Biomedical Diagnostics Lab (BM/d, www.bmdresearch.nl), part of the signal processing systems group. This lab has a long-standing international academic reputation in physiological monitoring, biomedical signal and image analysis and machine learning, and is a key player in the Eindhoven MedTech Innovation Center, a large-scale collaboration between TU/e, Philips Research and the semi-academic hospitals in the Eindhoven region geared to create a fast track to MedTech inovations. The candidate will also be embedded in this ecosystem. 

To reinforce this vibrant community we are looking for a new tenure-track scientific staff member.

The vacancy:

Electrophysiological measurements such as ECG, EEG and EMG are used in a variety of clinical applications, such as cardiac status monitoring in high-care hospital units, diagnosis and monitoring of epilepsy, and electrophysiological pregnancy monitoring. There is a strong need and potential to broaden the range of applications of these measurements by building on advances in pathophysiological mathematical modeling, microelectronic bioamplifier design, signal processing, and artificial intelligence. For example, advances in microelectronics foreshadow low-power contactless or semi-contactless measurements of large arrays of electrophysiological signals, potentially permitting reliable measurements in extramural settings, unobtrusive assessment of neonatal EEG, and high-resolution electrocardiographic mapping for atrial fibrillation treatment planning.

To materialize this potential we are looking for a candidate with a strong background in biomedical sensing, signal processing and machine learning, affinity and familiarity with mixed-signal microelectronics and the ability and interest to work closely with medical doctors in order to build up essential pathophysiological and sensor artifact knowledge, capture it in mathematical models, and exploit these models in hybrid model-based/data-driven signal analysis and interpretation approaches.


We are looking for candidates meeting the following requirements:

  • PhD in electrical engineering or physics;
  • Strong academic background in biomedical sensing, signal analysis and machine learning;
  • Extensive publication record in leading scientific journals;
  • Excellent interdisciplinary communication and team working skills;
  • Demonstrable affinity with real-world applications;
  • Proactive and entrepreneurial attitude;
  • Demonstrable interest in and talent for teaching and the ambition to improve teaching performance by taking part in educational training programs.


We offer:

  • A challenging job in a dynamic and ambitious university and a stimulating internationally renowned research environment;
  • Assistant professors are appointed in a tenure track for a maximum of 4 years, with tenure-track options and the possibility of a permanent position.
  • An appointment on a level that matches the CV and past experience of the candidate. Gross monthly salaries are in accordance with the Collective Labor Agreement of the Dutch Universities (CAO NU) and are at least € 3637 per month (scale 11) and at most € 5656 per month (scale 12). An offer will be based on your knowledge and experience. Moreover 8% bonus share (holiday supplement) and an end of year allowance of 8.3% is provided annually;
  • A broad, attractive package of fringe benefits (including an excellent technical infrastructure, child care, savings schemes, and excellent sports facilities).
  • A management development program, specially designed for assistant/associate professors.

Informatie en sollicitatie


More information can be obtained from the links: http://www.tue.nl/ and http://www.bmdresearch.nl/

For further information on this vacancy you can contact Prof. Dr. Ir. Massimo Mischi, m.mischi[a]tue.nl, phone: + 31 402473821

For information concerning employment conditions you can contact S. Sonnemans, Recruiter, s.sonnemans[a]tue.nl, phone: + 31 655183097


Qualified candidates are cordially invited to express their interest in the vacancy or ask for more detailed information. If you are interested in this position, please send  our application including a cover letter, a CV, a statement of education and research interests, a detailed list of publications and achievements and the names of three references, by using the 'apply now'-button on this page.