About the position
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.
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)
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
Qualifications
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
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