Postdoc AI-Driven Biofabrication and Process Control (AI Engineering)
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Описание вакансии
TL;DR
Postdoc AI-Driven Biofabrication and Process Control (AI Engineering): Developing scientific machine learning and control methods for biofabrication of biomedical and sustainable technologies with an accent on predictive modeling and real-time control of bioprinting. Focus on embedding morphoelastic and biomechanical models into learning processes and validating methods on experimental data.
Location: Must relocate to Delft, Netherlands
Salary: €3,546 – €5,538 per month
Company
is a top international university combining science, engineering, and design to address global challenges in health and sustainability.
What you will do
- Develop scientific machine learning methods for modeling and control of biofabrication processes.
- Design approaches based on CNNs, transformer models, and operator learning.
- Embed morphoelastic and biomechanical models into the learning process.
- Contribute to an AI-driven toolbox for predictive modeling and real-time control of bioprinting.
- Validate models using experimental data in collaboration with UMC Utrecht and Maastricht University.
Requirements
- PhD in applied mathematics, computational science, machine learning, or a related field.
- Strong expertise in numerical and scientific computing, including scientific machine learning.
- Proficiency in Python or Julia.
- Background or strong interest in biomechanics and soft biological tissue modeling.
- Must be able to relocate to the Netherlands.
Nice to have
- Experience with operator learning methods (Neural Operators, DeepONet, FNO).
- Experience with inverse problems, optimization, and control of PDE-based systems.
- Experience in image data processing and modeling.
- Experience in interdisciplinary collaborations.
Culture & Benefits
- Temporary contract for 12-28 months with a flexible working week.
- Salary and benefits according to the Collective Labour Agreement for Dutch Universities.
- Excellent pension scheme via ABP and individual employment packages.
- Comprehensive relocation support and a Dual Career Programme for partners.
- Generous leave (232 hours/year) and partially paid parental leave.
Hiring process
- Submit cover letter, CV with publications, degree certificates, and PhD thesis.
- Undergo a risk assessment for knowledge security during final stages.
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