Published: 16 February 2024
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Médico-technique
A Fully Funded PhD Student in Machine Learning and Federated Learning
We invite highly motivated candidates to apply for a fully funded PhD position to join Professor Oliver Y. Chén's team (www.oliverychen.com). The team works on projects related to: (a) building new machine learning and statistical methods for studying large-scale biological and medical data; (b) disease prediction; (c) digital health; and (d) federated learning. For this PhD position in particular, please see details below. The student will have joint affiliations with the Lausanne University Hospital (CHUV) and the University of Lausanne.
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.
Professor Oliver Y. Chén's team develops new machine-learning and statistical methods and study large-scale data in health and disease. The data are from diverse sources, from brain imaging (e.g., MRI and EEG), sequencing, mass cytometry/spectrometry, and health records, to data from digital devices such as smartphones.
The team's focus is threefold. (a) Building new, methodologically exciting models to address real-world problems; (b) using these methods to (i) study the interplays between large-scale multimodal, multivariate, high-dimensional features, and when/how they may be associated with diseases cross-sectionally and longitudinally and (ii) identify markers that support patient diagnosis and prognosis; (c) translating our algorithms into clinical decision support and patient health management apps.
Mission
Under this fully funded PhD position, the student will primarily work on three projects:
The student will have the freedom to propose and develop independent studies or join other projects within the broader aims of this position and collaborate with or visit other teams.
The students will work in an interdisciplinary, multicultural environment.
The position, once filled, may start immediately.
Profil
Minimum qualifications:
Desired qualifications:
Nous offrons
Contact et envoi de candidature
Please send Professor Oliver Y. Chén (olivery.chen@chuv.ch) the following.
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 have any technical question, please contact our Recruitment Team (021/ 314-85-70 from 08h30 to 12h00 and from 14h00 to 16h30).
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.
We would like to inform external recruitment agencies that any application inserted directly on our recruitment platform will not be accepted and cannot be charged. Thank you for your understanding.