Develop scientific machine learning and control methods for biofabrication and contribute to next generation biomedical and sustainable technologies.
Requirements
- PhD degree in applied mathematics, computational science, machine learning, or a closely related field
- Strong expertise in numerical and scientific computing, including scientific machine learning
- Strong programming skills (preferably Python or Julia) and the ability to work with additional scientific computing tools
- A background in, or strong interest in, biomechanics and the modeling of soft biological tissues
Benefits
- An excellent pension scheme via the ABP
- The possibility to compile an individual employment package every year
- Discount with health insurers on supplemental packages
- Flexible working week
- Every year, 232 leave hours (at 38 hours). You can also sell or buy additional leave hours via the individual choice budget.
- Plenty of opportunities for education, training and courses.
- Partially paid parental leave
- Attention for working healthy and energetically with the vitality program.
