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

Introduction

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.

Job Description

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.

Job 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

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. 

Information and application

About us

Catharina Hospital: A top clinical teaching hospital distinguished by innovation and patient-centered care.
Eindhoven University of Technology (TU/e) – Signal Processing Systems, Department of Electrical Engineering: Join a highly acclaimed group specializing in medical signal processing and artificial intelligence, embedded in a vibrant academic and collaborative network. Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating
with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow.
Pacmed: A leading Dutch healthtech company integrating medical expertise and advanced data analysis to bring AI algorithms directly into clinical workflows.

Information

Do you recognize yourself in this profile and would you like to know more? Please contact the hiring manager Dr. A.J.R. De Bie (Intensivist) – +31 40 239 5428 or Prof. Dr. R. Arthur Bouwman (Anesthesiologist) – +31 40 239 8500.

Visit our website for more information about the application process or the conditions of employment. You can also contact HR Services (hrservices.flux@tue.nl).

Are you inspired and would like to know more about working at TU/e? Please visit our career page.

Application

We invite you to submit a complete application by using the apply button. The application should include a:

• Cover letter in which you describe your motivation and qualifications for the position.
• Curriculum vitae, including a list of your publications and the contact information of three references.

We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.