PhD Position - Machine Learning in Ocular Biomechanics

Every year, millions of people undergo refractive surgery to correct their vision, yet outcomes remain unpredictable for patients with complex corneal conditions. Join us in developing AI-powered tools that could revolutionize how we plan and predict surgical outcomes for patients with severe visual impairment. About the project The Computational Bioengineering Group invites applications for a 3-4 year PhD position in machine learning and ocular biomechanics. You will develop patient-specific biomechanical models of the cornea integrated with machine learning to understand how corneal biomechanics influence visual outcomes and support prediction, treatment, and planning of refractive interventions for patients with severe visual impairment. This SNSF-funded project is conducted jointly with the Swiss Federal Institute of Technology Lausanne (EPFL), the University of Basel (unibas), and Bern University Hospital (Inselspital). The candidate will work closely with engineers, clinicians, and data scientists in a strong translational research environment.

Research environment The Computational Bioengineering Group develops experimental and computational methods in biomechanics to address clinically relevant problems. The group combines finite element modeling, medical image analysis, experimental tissue characterization, and data-driven methods to develop new diagnostic approaches, support surgical planning, and contribute to the design of medical technologies.

Tasks and responsibilities

• Develop medical image analysis tools for patient-specific finite element modeling
• Quantify biomechanical impact of surgical treatments on visual outcomes
• Design machine learning methods to accelerate simulations and predict outcomes
• Identify optimal treatment strategies from preoperative data

Do you have experience in Research?, Do you have a Master's degree?, * Master's degree in computer science, engineering, or applied mathematics

• Experience in computer vision and machine learning
• Solid Python programming for machine learning
• Background in mechanics and computational methods
• Finite element analysis experience (strong asset)
• Working in a medical regulatory environment would be a strong advantage
• Strong English communication skills