Phd position - machine learning in ocular biomechanics

PThe ARTORG Center for Biomedical Engineering Research is a multidisciplinary research center at the University of Bern developing medical technology solutions from basic research to clinical applications. /p pEvery 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. /p bAbout the project /b 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.br/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. bResearch environment /b The 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. bTasks and responsibilities /b liDevelop medical image analysis tools for patient-specific finite element modeling /liliQuantify biomechanical impact of surgical treatments on visual outcomes /liliDesign machine learning methods to accelerate simulations and predict outcomes /liliIdentify optimal treatment strategies from preoperative data /li bRequired qualifications /b liMaster's degree in computer science, engineering, or applied mathematics /liliExperience in computer vision and machine learning /liliSolid Python programming for machine learning /liliBackground in mechanics and computational methods /liliFinite element analysis experience (strong asset) /liliWorking in a medical regulatory environment would be a strong advantage /liliStrong English communication skills /li bWhat we offer /bliInternational environment in a leading biomedical engineering center /liliClose clinical interaction with real-world data access /liliMultidisciplinary team expertise (biomechanics, ML, clinical research) /liliPublication and conference opportunities in high-impact venues /liliCompetitive SNSF salary with Swiss social benefits /liliFree German language courses /libr/bApplication procedure /bbr/Interested candidates should submit the following documents electronically to Prof. Philippe Büchler, liCurriculum vitae, including contact details of references /liliMotivation letter describing research interests and career goals /liliAbstract of the Master's thesis /liliAcademic transcripts /libr/Application deadline: February 15, 2026 | Starting date: May /June 2026