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Philippe Büchler

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University of Bern
Country flagSwitzerland

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About

Philippe Büchler is a Professor at the University of Bern, Switzerland. His research encompasses shoulder pathology, including glenoid bone mineral density and rotator cuff deficiencies, as well as advancements in ophthalmology and biomechanical simulations. Recent articles highlight his work on causal Bayesian models, deep learning applications in scapular morphology, and dynamic evaluations in ocular health and tissue responses.

Recent Grants

Grant: Close

Machine learning and patient-specific biomechanical methods for assessing outcome in total shoulder arthroplasty: a multicenter cohort study

Open Date: 2020-10-01

Close Date: 2024-09-30

Grant: Close

A biomechanical simulation platform to plan and assess refractive treatments on the cornea

Open Date: 2019-11-01

Close Date: 2023-10-31

Grant: Close

MIMetiCO—Multiscale Integrative Approach for Corneal Biomechanics to Assess Corneal Crosslinking

Open Date: 2018-01-01

Close Date: 2020-01-01

Grant: Close

Patient-specific mechanical characterization of the femoro-popliteal arterial tract: Clinical implications for restenosis

Open Date: 2017-05-01

Close Date: 2019-04-30

Grant: Close

GlimS, Patient-specific tumour growth model for quantification of mechanical 'markers' in malignant gliomas: Implications for treatment outcomes.

Open Date: 2017-01-01

Close Date: 2020-01-01

Positions (1)

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Philippe Büchler

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University of Bern

The ARTORG Center for Biomedical Engineering Research at the University of Bern is offering a 3-4 year PhD position in Machine Learning and Ocular Biomechanics, starting May/June 2026. This opportunity is part of an SNSF-funded project in collaboration with EPFL, University of Basel, and Bern University Hospital (Inselspital). The successful candidate will join the Computational Bioengineering Group (CBE), which focuses on developing experimental and computational methods in biomechanics to address clinically relevant problems, particularly in the context of vision and corneal biomechanics. The project aims to develop patient-specific biomechanical models of the cornea, integrating 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. The research environment is highly interdisciplinary, involving engineers, clinicians, and data scientists, and offers close clinical interaction with real-world data access. Key research areas include machine learning, ocular biomechanics, computational bioengineering, finite element analysis, and medical image analysis. The group’s expertise spans finite element modeling, experimental tissue characterization, and data-driven methods for new diagnostic approaches and surgical planning. The position offers a competitive SNSF salary, Swiss social benefits, free German language courses, and opportunities for publication and conference participation. Applicants should have a Master’s degree in computer science, engineering, or applied mathematics, with experience in computer vision, machine learning, Python programming, mechanics, and computational methods. Finite element analysis experience and prior work in a medical regulatory environment are strong assets. Strong English communication skills are required. Application documents include a CV with references, motivation letter, and abstract of the Master’s thesis. The application deadline is February 15, 2026. For more information, visit the ARTORG Center and CBE group websites or contact Prof. Philippe Büchler at [email protected].

8 months ago

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Collaborators (5)

Daniel Abler

University Hospital of Geneva

SWITZERLAND
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Ravi Radhakrishnan

University of Pennsylvania

UNITED STATES
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Alexandre Terrier

EPFL (École Polytechnique Fédérale de Lausanne)

SWITZERLAND
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Miguel Ángel Ariza Gracia

University of Bern

SWITZERLAND
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Elham Taghizadeh

Fraunhofer Institute for Digital Medicine

GERMANY
View details
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