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Eindhoven University of Technology

PhD on Long-Term Monitoring of Sleep Disorder Symptoms with Digital Tools Eindhoven University of Technology in Netherlands

PhD on Long-Term Monitoring of Sleep Disorder Symptoms with Digital Tools

Eindhoven University of Technology

Netherlands

email-of-the@publisher.com

Dec 5, 2025

Keywords

Neuroscience
Computer Science
Data Science
Patient Care
Electrical Engineering
Sleep Medicine
Longitudinal Study
Health Science
Mobile Health
Human-computer Interaction
Medical Diagnostics
Sensor Technology
Wearable Technology
Digital Health
Insomnia
Clinical Data
Statistical Modelling

Description

This PhD position at Eindhoven University of Technology focuses on the long-term monitoring of sleep disorder symptoms, specifically narcolepsy, using digital tools and mHealth applications. The project is a collaboration between TU/e, Sleep Center Kempenhaeghe, and Takeda, aiming to improve low-obtrusive, scalable monitoring and management of narcolepsy symptoms. Narcolepsy is a chronic sleep disorder with a wide range of symptoms, including excessive daytime sleepiness, cataplexy, hallucinations, sleep paralysis, and fragmented sleep, as well as cognitive and mood disturbances. Current questionnaires do not adequately capture the full spectrum or variability of symptoms, creating a need for advanced monitoring tools. The research will utilize the Narcolepsy Monitor, a digital tool developed by Kempenhaeghe, to analyze symptom clusters and quantify disease burden dynamics over time. The project will also integrate wearable sensor data with self-reported data to enhance monitoring accuracy and reduce user burden. Another key aspect is understanding the preferences of patients and healthcare professionals in monitoring and co-creating dashboards tailored to their needs. The successful candidate will join a multidisciplinary team with expertise in sleep medicine, longitudinal monitoring, and digital health technology, working within the Advanced Sleep Monitoring research group (Biomedical Diagnostics lab, Electrical Engineering) and the Human Technology Interaction group (Industrial Engineering & Innovation Sciences). The position offers full-time employment for four years, competitive salary and benefits, and opportunities for professional development. Applicants should have a master’s degree in a relevant field, experience with statistical modelling and clinical data collection, and fluency in English and Dutch. The application process is online, and the position will remain open until filled.

Funding

Available

How to apply

Submit your application online via the provided application link. Include a cover letter describing your motivation and qualifications, a curriculum vitae with publications, and contact information for three references. Applications sent by email or post will not be processed. The vacancy will remain open until filled.

Requirements

Applicants must hold a master’s degree (or equivalent university degree) in data science, human-technology interaction, neuroscience, technical medicine, psychology, or related fields. Experience with advanced statistical modelling and clinical data collection is required. Candidates should have a research-oriented attitude, ability to work in interdisciplinary teams, and interest in collaborating with clinical and industrial partners. Motivation to develop teaching skills and coach students is expected. Fluency in spoken and written English (C1 level) and spoken Dutch (required for patient and clinical staff interaction) is mandatory.

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