- Highly motivated, self-driven, and shows excellent performance.
- Strong analytical, mathematical, and algorithmic capabilities.
- Proficiency in programming, preferably in Python.
- Proven record of leading interdisciplinary projects (desirable).
- Adaptable and flexible to the continuous changes associated with research demands.
- Through your prior experiences, you have shown your understanding of modelling/analytics and a strong interest in healthcare .
- Confirmed records on some of the methodological areas : graphical neural networks, time series modelling, graphical modelling.
- Proven track record in deploying machine learning models into production (preferred)
- Passion for healthcare and medical decision support.
Postdoctoral Researcher in Explainable Machine Learning for Health Status Monitoring and Modelling - Zürich, Schweiz - SCAI Lab
Beschreibung
Job description
This postdoctoral position would focus on studying the properties of different Graphical Modellings (such as GANS, VAEs, and Diffusion Models) within the context of health information fusion for disease onset prediction that build upon our laboratory's past and ongoing work. As the team lead for this exciting project, you will have the opportunity to work with a group of sensing, clinical, and social researchers to investigate graphical modelling for healthcare decision support.
You will be responsible for the multi-modal longitudinal data analysis and the creation of sparse models that can be mapped to known standards of functioning ability . More concretely, as Post-doctoral researcher , you will be responsible for researchingmethods of digital twining for patients in chronic conditions for studying digital socio-psychological-biomarkers applicable in rehabilitation and daily life monitoring in SCI and elderly populations. With the goal of subsequent implementation of preventive treatment in different comorbidities. e.g., pressure injuries, infections, cardiovascular disease and sleep disorders.
Moreover, the successful candidate will have the opportunity to support the development of new machine learning lectures in the field of healthcare.
If you are a highly motivated and creative individual with a passion for innovation, we want to hear from you.
Your profile
You have outstanding experience in Machine Learning with a PhD degree from a university in Computer Science, or related fields, with a proven track record in statistical machine learning, deep learning, and graphical modelling.