Position Title: Postdoctoral Fellow (PDF) in Machine Learning
Duration: 2 years
Start Date: May 2024 (negotiable)
Research Group: The Greiner Lab, University of Alberta (Edmonton) & Amii
(the Alberta Machine Intelligence Institute)
Summary
We are looking for a talented, knowledgeable and ambitious candidate to
research several interesting medical-informatics tasks related to
epidemiology (population disease forecasting) and bio-chemical analysis, as
well as foundational topics, especially survival prediction and
counterfactual reasoning, towards effectively learning personalized
treatment effects.
Expectations
1. Participate in relevant research and direct several projects
2. Work with (and perhaps co-supervise) various students
3. Collaborate with many colleagues, in both machine learning and
medicine/healthcare
4. (Co)write high-impact scientific publications
5. Present your work at leading conferences
6. Develop tools that can be used by researchers and practitioners
Requirements
1. PhD in computing science or a related area, with a focus on machine
learning and statistics
2. Experience in Medical Informatics is a asset
3. Evidence of high-quality research, such as publications in relevant
top-tier venues
4. Effective communicator in English, both written and spoken
How to Apply
Please send the following information (preferably in a single PDF file) to
[email protected], with subject “PDF Medical Informatics 2024”
1. A cover letter summarizing your past work and insights on this topic,
and perhaps specific future directions
2. Your curriculum vitae, including a list of publications
3. Contact information for (at least) two references