PhD Position: AI-assisted EEG Monitoring in the ICU

PhD @University of Twente posted 7 days ago

Job Description

Are you passionate about AI and clinical neurophysiology?

Continuous EEG (cEEG) monitoring is essential for managing patients in the intensive care unit (ICU), especially after cardiac arrest or severe brain injury. Yet, clinical use is hampered by limited local expertise and the time-intensive nature of EEG interpretation.

This project aims to develop advanced EEG sensing technology integrated with a cloud-based platform for real-time data analysis and remote expert consultation. The goal is to create an explainable AI-assisted monitoring system that improves decision-making in the ICU and ultimately patient outcomes. The system will be piloted at Medisch Spectrum Twente (MST), with the ambition to scale to (inter)national hospitals.

As PhD candidate, you will contribute to the full development pipeline: from algorithm design and implementation to clinical integration and evaluation. You will also work on improving prognostic models using (neuro-symbolic) AI and develop intuitive, explainable tools for clinicians.

Your Role You will work at the interface of signal processing, AI, and clinical neurophysiology. The project involves close collaboration with MST, the University of Twente TechMed-CNPH and BMS-CodE groups , and industry partners Artinis Medical Systems and Clinical Science Systems.

Your profile

We are looking for a highly motivated candidate with:

  • A Master’s degree in Technical Medicine, Biomedical Engineering, or a related field;
  • Interest in translational research bridging technology and clinical care;
  • Affinity with signal processing, machine learning, and/or physiological monitoring;
  • Strong teamwork and communication skills in multidisciplinary environments;
  • Strong programming skills and experience with implementing machine learning algorithms
  • Proficiency in English and Dutch (spoken and written);
  • German language skills are a plus.

Our offer

  • A full-time position for four years, with a qualifier in the first year.
  • Supervision by a joint team from Clinical Neurophysiology (CNPH) and CoDE BMS.
  • A dynamic, multidisciplinary, and clinically embedded research environment.
  • Collaboration with leading hospitals and medical technology companies.
  • Your salary and associated conditions are in accordance with the collective labour agreement for Dutch universities (CAO-NU).
  • You will receive a gross monthly salary ranging from € 2901,-  (first year) to € 3707,- (fourth year).
  • There are excellent benefits including a holiday allowance of 8% of the gross annual salary, an end-of-year bonus of 8.3%, and a solid pension scheme.
  • A minimum of 232 leave hours in case of full-time employment based on a formal workweek of 38 hours. A full-time employment in practice means 40 hours a week, therefore resulting in 96 extra leave hours on an annual basis.
  • Free access to sports facilities on campus.
  • A family-friendly institution that offers parental leave (both paid and unpaid).
  • You will have a training programme as part of the Twente Graduate School where you and your supervisors will determine a plan for a suitable education and supervision.

Information and application

To apply, please submit your application by the button below, this should include:

  • Your CV
  • A motivation letter
  • An academic transcript
  • Your contact details
  • An academic referee

For more information, contact Prof. Michel van Putten (CNPH) or Dr. Maryam Amir Haeri (BMS): m.j.a.m.vanputten@utwente.nl, m.amirhaeri@utwente.nl.

Biomedical Engineering Master’s degree in Technical Medicine or a related field;

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