PhD on Improving, Implementing and Evaluating Clinical Deterioration Models for Hospitalized Patients

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PhD on Improving, Implementing and Evaluating Clinical Deterioration Models for Hospitalized Patients

Deadline Published Vacancy ID 2025/460

Academic fields

Engineering; Health

Job types

PhD

Education level

University graduate

Weekly hours

38 hours per week

Salary indication

€3059—€3881 per month

Location

De Zaale, 5612AZ, Eindhoven

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Job description

Are you passionate about applying technological innovation and data driven technologies to advance patient safety? Do you thrive in multidisciplinary environments bridging clinicians, engineers, and data scientists? Join Catharina Hospital, Pacmed, and Eindhoven University of Technology within the Eindhoven MedTech Innovation Center (e/MTIC), and directly impact earlier recognition and prevention of clinical deterioration through cutting-edge medical data driven technologies and artificial intelligence.

Information
As a PhD candidate, you will contribute to the PROMETHEUS program in the dynamic e/MTIC ecosystem working together with other medical and technical PhD colleagues. The project focuses on developing, validating, and implementing the Advanced Alert Monitoring (AAM) model—a predictive system designed to identify clinical deterioration in hospitalized patients at least 12 hours earlier than current Early Warning Scores (EWS).
Core responsibilities include:
  • Collecting and integrating electronic health record (EHR) data and continuous monitoring data from wearables and cameras.
  • Developing and validating clinical AI prediction models using multicenter datasets.
  • Collaborating closely with fellow PhD candidates, clinicians, data scientists, and technical experts.
  • Co-creating dashboards and alerting methods with clinical end-users.
  • Integrating the AAM model into hospital workflows and digital environments across diverse EHR systems.
  • Evaluating the clinical impact, including effects on intensive care admissions, complication rates, patient safety, and resource utilization.

The unique infrastructure allows you to work across academic (TU/e), clinical (Catharina Hospital), and industry (Pacmed) locations, accelerating real-world medical AI implementation.

Requirements

  • Master’s degree in Medicine, Technical Medicine, or Biomedical Engineering.
  • An affinity with medical technology, patient monitoring, and clinical innovation.
  • Proven experience in clinical research, data analysis, or decision support is highly desirable.
  • Strong communication and social skills for working within teams and listening to stakehoulders.
  • Self-motivated and organized, able to work independently and proactively.
  • Excellent proficiency in both written and spoken Dutch and English.

Conditions of employment

Fixed-term contract: 4 years.

A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:
  • A full-time position for a minimum of three years at TU/e, additional appointments at
    Catharina Hospital and Pacmed for collaborative research.
  • Supervision by a multidisciplinary team of clinicians, engineers, and scientists (Dr. S. Turco, Prof. Dr. M. Mischi, Prof. Dr. R.A. Bouwman, Dr. A.J.R. De Bie).
  • An intermediate assessment after nine months. You will spend a minimum of 10% of your four-year employment on teaching tasks, with a maximum of 15% per year of your employment.
  • Salary and benefits (such as a pension scheme, paid pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labour Agreement for Dutch Universities, scale P (min. € 3,059 max. € 3,881).
  • A year-end bonus of 8.3% and annual vacation pay of 8%.
  • High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process.
  • An excellent technical infrastructure, on-campus children's day care and sports facilities.
  • An allowance for commuting, working from home and internet costs.
  • A Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates.

Working at TU/e

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