University of Geneva (UNIGE)
Type of contract
The Faculty of Medicine of the University of Geneva benefits from an enriching multicultural environment to which it contributes by its influence within the framework of the mandates that it has given to itself: teaching, research and its partnership with the University Hospitals of Geneva (HUG).
The PhD student will be supervised by Prof. Douglas Teodoro, head of the Data Science for Digital Health (DS4DH) lab, and will be funded by multiple Swiss funding agencies, with strong collaborations with industrial partners. The objective is to develop novel Natural Language Processing (NLP) technologies to extract knowledge from unstructured and semi-structured clinical data, as well as to use deep learning models (Transformer-based Language Models, Graph Neural Networks, etc.) to gather insights from knowledge graphs within the biomedical and healthcare domains.
The PhD student will be located at the Campus Biotech, which is the life sciences hub for the lake Geneva area, and provides lots of opportunities for collaboration and networking.
The newly established DS4DH group, under the Department of Radiology and Medical Informatics, Faculty of Medicine of the University of Geneva, aims to design and implement novel algorithms and computational methods for the management and analysis of complex and large-scale datasets in the health and life sciences domain to foster innovative digital health solutions. With multiple PhD’s and Postdoctoral researchers working in a vibrant and interdisciplinary environment, the group is particularly interested in developing research around machine learning and NLP models that can blend and exploit (semantically) rich and (often) non-Euclidean datasets to create actionable insights. DS4DH is located at Campus Biotech and works closely with other academic and industrial players at the forefront of innovation in digital.
The successful candidate has an MSc in areas such as Computer Science, Biomedical Engineering, Electrical Engineering, Physics, or similar areas, and is/has:
- High motivations to do research in the intersection of data science and healthcare
- Strong quantitative skills in linear algebra, probability theory and other areas related to machine learning and data science
- Experience with machine learning related projects, preferably with relevant publications
- Excellent programming skills (e.g., in Python), preferably familiar with deep learning frameworks such as PyTorch, TensorFlow, etc.
- A problem solver with strong teamwork skills and agile attitude
We are looking for a reliable, rigorous, motivated, hard-working person with a strong passion for research in data science applied to digital health.
The ideal candidate will be autonomous in the organization of his/her work, but will also be able to interface scientifically on a regular basis with those in charge of the research, while naturally integrating into an international team.
The contract is for a period of one year and is renewable.
Start date: 01 Jan 2022
Application deadline: 31 Oct 2021