The ARTORG Center for Biomedical Engineering Research is the University of Bern´s transdisciplinary Center of Excellence for medical technology research. Its mission is to tackle unmet clinical needs and envision future challenge in diagnosis, monitoring and treatment to create viable healthcare technology solutions with imagination, agility and purpose. Its projects run from discovery and basic research to clinical translation.
The Computational Bioengineering Group has opened a Ph.D. Student position in machine learning to evaluate the risks of failure of total shoulder arthroplasty. You will develop machine learning algorithms to better understand the biomechanics of shoulder replacements and improve patients’ care. You will be part of an inter-disciplinary project funded by the Swiss National Science Foundation (www.snf.ch) performed in collaboration with the Swiss Federal Institute for Technology (www.epfl.ch), and the Lausanne University Hospital (www.chuv.ch).
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.
– 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
– 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 (working language at the ARTORG Center)
– 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
– Competitive salary (according to the guidelines of the Swiss National Science Foundation)
– Expected starting date; summer 2020
– Free German courses available for those wishing to learn
Application Interested candidates should send their detailed resumes with references, motivation letter, abstract of your MSc thesis, and school transcripts to Prof. Philippe Büchler, firstname.lastname@example.org.
About the University of Bern The University of Bern is located at the heart of Switzerland. Internationally connected and regionally anchored, it cultivates exchange with society and strengthens partnerships between science, medicine, business, and politics. The University of Bern is committed to a deliberate and ethical responsibility towards people, animate and inanimate nature. As an important educator, promoting enterprise and industry in the region and beyond, it distinguishes itself through problem-oriented research into questions of pressing social relevance. The University of Bern is an equal opportunity employer, promotes healthy work-life-balance and safe working environments, and strives to increase the number of women at all levels in its faculties.