A Fully Funded PhD in machine learning and data science, Lausanne
Vor 2 Tagen
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A Fully Funded PhD in Machine Learning and Data Science, LausanneJob Description:Contexte
The Lausanne University Hospital (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.
Dre Nazanin Sédille and Professor Oliver Y. Chén's teams develop new machine-learning and statistical methods and study large-scale data in health and disease. Our data are from diverse sources from the Service of Clinical Chemistry.
The PhD student will primarily work on three interlinked projects in collaboration between CHUV and UNIL on data related to proteomic and metabolomic profiling in immunological and haematological diseases:
- Automated biomarker discovery and disease prediction: We design machine learning methods to identify biomarkers associated with and predictive of disease outcomes (disease status, disease severity/clinical score, and longitudinal disease progression/fluctuation) in an automated way.
- Discovering latent biomarkers: We design machine learning frameworks to identify latent, potentially nonlinear biomarkers from multivariate, multimodal, and potentially high-dimensional data that could better explain and predict the disease.
- Longitudinal, personalised disease prediction: We design methodological frameworks that incorporate, yet distinguish, population-level and subject-specific information to inform personalised assessment of individual longitudinal disease profiles.
Profil
- A master’s degree and an undergraduate degree in disciplines relevant to (applied) mathematics, computer science, engineering, machine learning, or statistics.
- An interest in developing new methods and applications and employing them to address real-world healthcare-related problems.
- A team player.
- The working language of the group is English. A good command of the French language is mandatory.
- Strong programming skills related to machine learning and longitudinal methods.
- Experience in machine learning, statistical modelling, and version control.
Nous offrons
- Joint affiliations with the Lausanne University Hospital (CHUV) and the University of Lausanne.
- An interdisciplinary environment, and a supportive team. We strive for equality, diversity, and inclusion. Our team is interdisciplinary and multicultural, and we encourage underrepresented students to apply.
- Possibility to collaborate with international universities.
- Access to courses from the CHUV and the University of Lausanne.
- Possibility to access one of the furnished apartments offered in the surrounding neighborhoods in case of relocation in Switzerland.
- Discounts proposed on social and cultural events, 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.
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