Internship: Hemodynamic Modelling

Praxa Sense; Delft; On-site; EUR 4,000 - 5,000; Full time

Benefits offered by this job

Professional, yet fun team

Freedom to implement ideas

Opportunity for future employment

Internship compensation of 400 EUR/month

Job summary

Praxa Sense, a young MedTech start-up in Delft, is seeking a student intern to investigate and model the hemodynamics of the skin's microvascular system. You will develop mathematical and computational models, contributing to the quality enhancement of our novel bio-sensor that utilizes innovative optical techniques.

This interdisciplinary role requires a solid background in biology and an affinity for computational modeling, preferably using Python. The internship offers gross compensation of 400 EUR per month and the potential for future employment.

Qualifications

• University BSc/MSc degree in relevant field.
• Experience in data processing languages.
• Affinity with Python or imaging analysis software is a plus.

Responsibilities

• Investigate and model the hemodynamics of the microvascular system.
• Develop mathematical and computational models.
• Read relevant literature to support project work.

Skills

Proficiency in Python

Understanding of biology and physiology

Data processing skills

Experience with R

Imaging analysis software

Good communication skills

Education

BSc/MSc in Applied Physics, Nanobiology, Biomedical Engineering, or related field

Job description

We are a young MedTech start-up based in Yes!Delft. We are looking for a student who is interested in investigating and modelling the hemodynamics of the microvascular system of the skin. The work will contribute to enhancing the biomedical applicability and quality of our novel bio-sensor. The sensor utilizes optical techniques such as DLS and has a configuration comparable to the well-known photoplethysmography (PPG) sensor, and is therefore configured to measure cardiac microcirculatory flow in a non‑invasive manner.

The student will be tasked with reading relevant literature and then developing mathematical and computational models. The project covers multiple disciplines:

• The project is very computational, so an affinity for numerical modelling is a strong plus, for example in Python.
• Given the project’s biology‑heavy nature, a proper understanding of biology and physiology is desirable.

The multidisciplinary aspect makes it a challenging project; however, part of the required background knowledge can be learned during the first part of the internship.

Background

In PPG technology, an LED and a photodiode are used to measure changes in blood volume. These volume changes are the direct result of the heartbeat and the saturation level of the patient. Through these changes, the patient’s heart rate can be measured. In our newly designed sensor, we optimise this process by replacing some of the hardware, which enables the extraction of additional vascular biomarkers and the removal of motion artifacts usually plaguing PPG measurements, thus improving the accuracy of heart‑rate measurements. The approach is both novel and supported by research from TU Delft.

What we offer

• A young and professional, yet fun, team
• Lots of freedom to implement your ideas
• Opportunity to be hired after the internship or after your study
• Internship compensation of gross EUR 400 per month

What we ask

• A university BSc/MSc degree in Applied Physics, Nanobiology, Biomedical Engineering, Computational Sciences, or a related field
• Experience in data processing languages such as Python
• Affinity with Python or other languages such as R, and/or imaging analysis software is a strong plus
• An interest in biophysics and healthcare is recommended
• Proactive team player with good communication skills