Junior researcher Automated Detection of Epileptiform Discharges Using Artificial Intelligence

Junior researcher Automated Detection of Epileptiform Discharges Using Artificial Intelligence

Published Deadline Location
12 May 1 Jun Enschede

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Job description

Epileptiform discharges on the electroencephalogram (EEG) reflect an increased risk of epileptic seizures and are assessed visually by default. This is time-consuming, human errors are common, and trained medical experts are not always available. This motivates the development of automatic analyzes for the interpretation of the EEG. We want to automate the detection of epileptiform discharges with unsupervised learning. This makes it possible to "learn" from very large amounts of data, already available in the clinic. We expect to use this to develop AI techniques that can assess EEGs at least as well as medical experts, making epilepsy diagnostics more efficient, cheaper and available 24/7.
  • The junior researcher will work on unsupervised anomaly (outlier detection) methods for detecting epileptiform discharges in EEG signals.
  • Developing detecting epileptiform discharges software using Matlab and Python.
  • Writing academic publications.
  • Participation in the supervision of master students.
You will work in an interdisciplinary research team between MST hospital and academic staff at University Twente (Prof dr ir Michel van Putten, Dr. Maryam Amir Haeri, Dr. Stephanie van den Berg) in the fields of neurophysiology, machine learning and statistics. We encourage a high degree of responsibility and independence, while collaborating with close colleagues, researchers and physicians.


University of Twente (UT)


We seek a highly motivated candidate who can link different fields such as machine learning, signal processing, and health technologies. Your profile matches the following elements:
  • hold a Master's degree in a relevant discipline such as Computer Science, Computer Engineering, Bio-medical Engineering, Electrical Engineering or equivalent, and preferably have experience in research within a multidisciplinary environment;
  • well-developed analytical and problem-solving skills.
  • strong skills in Matlab and Python
  • strong knowledge in machine learning, and deep learning (having experience in (EEG) signal processing is a plus)
  • collaborative abilities to work within an interdisciplinary team of researchers and physicians (having experience in this area is a plus)
  • possess good communication skills and excellent proficiency in English

Conditions of employment

You will be appointed for one year, within a very stimulating scientific environment. The position can be started latest in the middle of July 2022. The University of Twente also offers an excellent range of fringe benefits, including:
  • We are offering 32-40 hours a week contract for the duration of 1 year;
  • 60%/40% office vs working at home rule. You will be provided with working from home equipment;
  • Depending on qualifications and experience, your gross monthly salary will range from € 2846 - € 3282 based on your education and experience (based on full-time employment, scale 10);
  • Holiday pay and an end-of-year bonus of 8.3%;
  • Ample opportunities for further professional development
  • An optional model for terms and conditions of employment
  • Free of charge access to the campus Sports Centre
  • 29 days of annual leave and 12 days of compensatory time off for a full-time appointment


  • Research, development, innovation
  • 32—40 hours per week
  • €2846—€3282 per month
  • University graduate
  • 583


University of Twente (UT)

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Drienerlolaan 5, 7522NB, Enschede

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