The Greiner Lab, 

     in the University of Alberta (Edmonton) and Amii (the Alberta Machine Intelligence Institute),

is looking for a talented, knowledgeable and ambitious candidate for a 2-year post-doctoral fellow (PDF) position in machine learning, to work with our team to address a number of very interesting, and important, medical-informatics tasks – related to

• epidemiology (population disease forecasting),
• bio-chemical analysis, 
• …  

as well as foundational topics, especially

• survival prediction
• counterfactual reasoning … effectively learning personalized treatment effects
• ...

You will be expected to:

• Participate in relevant research… and direct several projects
• Work with (and perhaps co-supervise) various students 
• Collaborate with many colleagues, in both machine learning and medicine/healthcare
• (Co)write high-impact scientific publications
• Present your work at leading conferences
• Develop tools that can be used by researchers, and practitioners

What do we require?

• PhD in computing science or a related area, with a focus on machine learning and statistics
  • Experience in Medical Informatics is a plus!
• Evidence of high-quality research… eg, publications in relevant top-tier venues (ML, medicine, …)
• Effective communicator (in English), both written and spoken

Job application:

We expect to fill this position by February 2023 but the start date is negotiable. Please send the following information (preferably in a single PDF file) to
[email protected], with subject   PDF Medical Informatics 2023 :

• A letter summarizing your past work and insights on this topic,
  and perhaps specific future directions
• Your curriculum vitae, including a list of publications
• Contact information for (at least) two references

For more information, see https://tinyurl.com/PDF-MedInfo-Amii .