This vacancy represents an exciting opportunity for ambitious individuals to join the computational group led by Aurélie Carlier as part of the DRIVE-RM program. The PhD researcher will perform cutting-edge research in computational modeling methods applied to regenerative medicine and more specifically, to bone regeneration.
PhD in Computational Modelling of Bone Regeneration in Compromised Environments
- Our goal: Advance regenerative medicine by developing in silico models that reveal how bone regenerates including how this process changes in compromised biological environments.
- Your colleagues: A collaborative team of computational modelers, biologists, and engineers at MERLN, working at the interface of data-driven and mechanistic modelling.
Regenerative medicine (RM) holds the promise to cure many of what are now chronic patients, restoring health rather than protracting decline, bettering the lives of millions and at the same time preventing lifelong, expensive care processes: cure instead of care. The scientific community has made large steps in this direction over the past decade, however, our understanding of the fundamentals of cell, tissue and organ regeneration and of how to stimulate and guide this with intelligent biomaterials in the human body is still in its infancy. Specifically, it is crucial to understand the underlying regenerative mechanisms and how these are altered in compromised environments (e.g. due to aging or co-morbidities such as diabetes or chronic kidney disease). This research project aims to develop and use in silico models to simulate the bone regeneration process, to improve our fundamental understanding thereof, and use the obtained knowledge to design improved regenerative medicine strategies.
Project description:
• Development of a bone regeneration map
• Computational modeling of bone regeneration (partial differential equations)
• Bringing novel, cutting-edge approaches (e.g. PINNs) to modeling of regenerative processes
• Parameter optimization and sensitivity analysis
• Analysis and integration of various in vitro/in vivo data for model calibration
• Approximately 5% of your time will be dedicated to tutoring, teaching, or supervising students.
Are you ready to push boundaries in regenerative medicine? Then we would love to meet you.
Interested?
Want to know more about this position or what it’s like to work at our university? Reach out to Dr. Aurélie Carlier at a.carlier@maastrichtuniversity.nl. Further information and application link can be found here.
