PhD Position in Machine Learning in Biomechanics

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PhD Position in Machine Learning in Biomechanics

The Service of Radiodiagnostics and Interventional Radiology at CHUV and the Computational Bioengineering Group at the University of Bern are jointly offering an exciting Ph.D. position in machine learning, focused on evaluating the risk of failure in total shoulder arthroplasty.

Contexte

The Lausanne University Hospital (CHUV) and the University of Bern are important pillars of the academic and medical landscape in Switzerland. CHUV is one of five Swiss university hospitals. Through its collaboration with the Faculty of Biology and Medicine of the University of Lausanne and the EPFL, CHUV plays a leading role in the areas of medical care, medical research and training. In addition, the University of Bern — centrally located and internationally engaged — promotes interdisciplinary collaboration at the interface of science, medicine, society and politics. Both institutions are committed to ethical responsibility, social impact and inclusive excellence and promote an environment that fosters equal opportunities, well-being, and problem-driven research for the benefit of all.

In this interdisciplinary project, funded by the Swiss National Science Foundation (SNSF), you will develop cutting-edge machine learning algorithms to advance our understanding of shoulder replacement biomechanics and contribute to improving patient outcomes. The research is conducted in close collaboration with leading institutions, including the Swiss Federal Institute of Technology (EPFL), the Lausanne University Hospital (CHUV), and the University of Bern (ARTORG). Join us to work at the intersection of medical imaging, computational modeling, and clinical care in a dynamic, collaborative environment.

You will integrate a research group that develops experimental and computational methods in biomechanics to test original scientific hypotheses, develops new diagnostic methods, and medical devices.

Mission

• Develop algorithms to analyze medical image and generate patient-specific finite element models
• Quantify anatomical degeneration of the hard and soft tissues of patients undergoing total shoulder replacement
• Infer the pre-morbid anatomy of degenerated shoulder joints
• Determine the optimal treatment strategy from pre-operative data and population-based finite element simulations.

Profil

• Master's degree in computer science, engineering, or applied mathematics
• Experience and/or course work in computer vision and machine learning
• Solid programming skills in Python or C/C++/C#
• Background in mechanics and computational methods
• Hands-on experience with finite element analysis would be a distinctive asset
• Strong communication skills in English required.

Nous offrons

We offer

• Creative and international environment to conduct competitive research in an interdisciplinary team
• Strong links to the Bern University Hospital (Inselspital) and Lausanne University Hospital (CHUV) to provide a coherent view of how computer modeling in healthcare can benefit patients
• Expected starting date; autumn 2025.

Contracts are renewed yearly, for up to four years.

To become an employee of the world-famous University Hospital Center from the Canton of Vaud is an assurance of:

• First-rate social benefits such as a Paternity Leave of 20 days and a Maternity Leave of 4 months (there is also the possibility to obtain a complementary breastfeeding leave of 1 month)
• 25 days of vacations per year
• A right to at least three days of training per year, by accessing a wide offer of courses not only from the CHUV Training Center but also from external providers
• Possibility to access one of the 500 furnished apartments offered in the surrounding neighborhoods in case of relocation in Switzerland
• Discounts proposed on social and cultural events, goodies and other services, thanks to the “H-Oxygène” association
• Signing up to our Mobility Plan and benefit from different advantages (discounts on public transportation, promotion of “Mobility” car fleet and discounts on electric bikes)
• Being able to enjoy our high-quality corporate restaurants, located in every hospital building, with employees’ discount.

Contact et envoi de candidature

Contact person in case of questions about this role : Dr Fabio Becce, E-Mail schreiben, tél. 079 556 18 37 (preferably emails).

All of our applications are processed electronically. For this reason, we kindly ask you to apply exclusively by clicking on the APPLY button at the bottom of the advertisement.

Should you experience any problems with your application, you can consult our document "how to apply online". In case of technical issues, you can contact our Recruitment team who will help you (E-Mail schreiben / +41 21 314 85 70)

The CHUV applies the highest quality requirements as part of its recruitment process. In addition, mindful to promote workplace diversity and inclusion we strive to ensure equal treatment and avoid any discrimination. We are looking forward to receiving your application.

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