The Materials-Driven Regeneration (MDR) Gravitation program has vacancy for a postdoctoral researcher computational modeling for regenerative engineering at the Eindhoven University of Technology, in close collaboration with University Medical Center Utrecht, Hubrecht Institute, Utrecht University, and Maastricht University.
About MDRThe Research Center for Materials-Driven Regeneration (MDR) is a partnership between Eindhoven University of Technology, Maastricht University and Utrecht University, University Medical Center Utrecht and the Hubrecht Institute. This consortium brings together materials scientists, cell biologists, tissue engineers and medical scientists to jointly work on the regeneration of tissue and organ function with intelligent, life-like materials. The MDR Research Center was awarded a 18.8 M€ grant in May 2017 by the ministry of education, culture and science of The Netherlands in the framework of the
Gravitation program. The MDR organization is designed to foster collaboration, to forge cross-disciplinary discoveries, and to train the next generation of leading regenerative medicine researchers.
About the positionThe MDR Center contains an Enabling Technologies Platform to provide and develop state-of-the-art and future technologies that are relevant for MDR research. We are looking for an enthusiastic and driven postdoctoral researcher to strengthen the development of computational models for understanding and predicting tissue evolution in material-driven regeneration. The main focus will be on developing and extending theoretical and computational mechanobiological algorithms for predicting tissue growth and remodeling, for example in cardiovascular tissues.
In this position as postdoctoral researcher 'computational modeling for regenerative engineering' you are responsible for:
- Developing and improving computational models for understanding and predicting tissue growth and remodeling.
- Scouting, initiating and leveraging (cross-disciplinary) collaborations within the MDR consortium with regard to computational modeling.
- Co-supervising PhD students in the field of computational mechanobiology.
- Establishing and maintaining the state-of the-art technology platform, and initiating symposia in support of this together with the MDR PIs.
- Sharing and communicating available computational models and methods via the MDR website.
About Eindhoven University of Technology (TU/e)TU/e is a University of Technology with a focus on Health, Energy and Mobility. Within the Health area, several departments cooperate on topics such as Chemical Biology, Regenerative Medicine, Computational Biology, and Biosensing, with close links to healthcare and industry. TU/e is an open and inclusive university with short communication lines. The people are curious, collaborative, and strive for excellence. TU/e enables its academic staff to develop research and education at an internationally renowned level. Our lively campus community facilitates connections between staff and students, in an open, friendly, vibrant atmosphere that welcomes and inspires.
Biomedical EngineeringThe Department of Biomedical Engineering (BME) offers a research driven BME Bachelor program and Masters in Biomedical Engineering and Medical Engineering in its Graduate Program. Its research areas range from Molecular Bioengineering and Imaging, Biomechanics and Tissue Engineering to Biomedical Imaging and Modelling. The department has more than 800 students and up to 200 tenured and non-tenured employees.
Institute for Complex Molecular SystemsThe Institute for Complex Molecular Systems (ICMS) is an interdisciplinary institute at the TU/e which brings excellent researchers from different areas together to promote cross-breeding of ideas across disciplines in the departments Biomedical Engineering, Applied Physics, Chemical Engineering and Chemistry, Mathematics and Computer Science, and Mechanical Engineering. The institute aims to create and study biologically relevant functional structures with the ultimate goal of understanding the complexity of life.