PhD in Machine Learning and Data Science
vor 3 Wochen
We are seeking a highly motivated PhD student to join our team at the Centre Hospitalier Universitaire Vaudois (CHUV) in Lausanne, Switzerland. Our team is dedicated to developing new machine learning and statistical methods for analyzing large-scale health data.
About the ProjectThe PhD student will work on three interlinked projects in collaboration with the University of Lausanne and the EPFL. The projects focus on automated biomarker discovery, discovering latent biomarkers, and longitudinal personalized disease prediction. The student will design and develop machine learning methods to identify biomarkers associated with disease outcomes and develop frameworks to identify latent biomarkers.
About the TeamOur team is interdisciplinary and multicultural, and we strive for equality, diversity, and inclusion. We encourage underrepresented students to apply. The working language of the group is English, and a good command of French is mandatory.
Requirements- 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
- An interest in data visualization
- A team player
- Strong programming skills related to machine learning and longitudinal methods
- Experience in machine learning, statistical modeling, and version control
- Joint affiliations with the Lausanne University Hospital (CHUV) and the University of Lausanne
- An interdisciplinary environment, and a supportive team
- 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
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