PhD on Development of Smart Algorithms for Context-Aware Patient Monitoring

Eindhoven University of Technology (TU/e), Netherlands

Updated: about 1 month ago
Deadline: 18 Jan 2026

19 Dec 2025
Job Information
Organisation/Company

Eindhoven University of Technology (TU/e)
Research Field

Engineering » Biomedical engineering
Researcher Profile

First Stage Researcher (R1)
Country

Netherlands
Application Deadline

18 Jan 2026 - 22:59 (UTC)
Type of Contract

Temporary
Job Status

Not Applicable
Hours Per Week

38.0
Is the job funded through the EU Research Framework Programme?

Not funded by a EU programme
Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

We are seeking a highly motivated and talented PhD candidate to join the “SmartNudges” project, a cutting-edge initiative aimed at revolutionizing patient monitoring in clinical settings. The focus of this PhD research is to develop optimal methods for capturing and sampling patient states, with a primary emphasis on designing smart algorithms to trigger non-invasive blood pressure (NIBP) measurements at critical times. This will involve leveraging physiological sensor signals such as the electrocardiogram (ECG) and photoplethysmogram (PPG) to create context-aware, adaptive monitoring solutions. The research will be conducted in collaboration with Philips and the Catharina Ziekenhuis (CZE).
Information
Key Responsibilities:

  • Develop a generalizable and explainable (gray-box) model for adaptive patient monitoring.
  • Utilize a mixed approach combining real and synthetic data for algorithm development.
  • Investigate and implement optimum sampling strategies, including sparse and compressed sampling techniques.
  • Explore the applicability of neural networks in clinical workflows, ensuring solutions are practical and scalable.
  • Design and build a technology demonstrator prototype of clinical-testing grade.
  • Collaborate with interdisciplinary teams, including clinicians, engineers, and machine learning (ML) and artificial intelligence (AI) researchers.
  • Publish findings in high-impact journals and present at international conferences.


Expected Outcomes:

  • A partially explainable AI model for context-aware NIBP measurement triggering.
  • A validated prototype ready for clinical testing.
  • Contributions to the scientific understanding of ML / AI-based adaptive context-aware monitoring for triggering vital sign measurements in general.

Where to apply
Website
https://www.academictransfer.com/en/jobs/357226/phd-on-development-of-smart-alg…

Requirements
Specific Requirements
  • Master’s degree in Biomedical Engineering, Electrical Engineering, Computer Science, or a related field.
  • Strong foundation in biomedical signal processing and hands-on experience with clinical data.
  • Knowledge of information theory, sampling theorems, and optimum sampling strategies.
  • Proficiency in machine learning, deep learning, and artificial intelligence techniques.
  • Familiarity with clinical applications and workflows.
  • Basic understanding of statistics.
  • Programming expertise in Python, or similar languages, with experience in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Excellent communication skills in English, both written and oral.


Preferred Skills:

  • Affinity for understanding human physiology and clinical environments.
  • Experience with wearable sensor data and multimodal datasets.
  • Ability to work in interdisciplinary teams and adapt to dynamic research environments.

Additional Information
Benefits

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:

  • Full-time employment for four years, with 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.

Selection process

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. Kindly note that we may reach out to references at any stage of the recruitment process. We recommend notifying your references upon submitting your application.


Ensure that you submit all the requested application documents. We give priority to complete applications.
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.


Additional comments

Do you recognize yourself in this profile and would you like to know more? Please contact the hiring manager Simona Turco, Assistant Professor, s.turco@tue.nl .
Visit our website for more information about the application process or the conditions of employment . You can also contact HRServices.ee@tue.nl .
Curious to hear more about what it’s like as a PhD candidate at TU/e? Please view the video .
Are you inspired and would like to know more about working at TU/e? Please visit our career page.


Website for additional job details

https://www.academictransfer.com/357226/

Work Location(s)
Number of offers available
1
Company/Institute
TU/e
Country
Netherlands
City
Eindhoven
Postal Code
5612AZ
Street
De Zaale
Geofield


Contact
City

Eindhoven
Website

http://www.tue.nl/
Street

De Rondom 70
Postal Code

5612 AP

STATUS: EXPIRED

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