Simon Fraser University

Postdoctoral Research Fellow in Educational Data Science

Simon Fraser University

Verified Visa SponsorBurnaby, BC, CAPosted 5 days ago

Job Description

Applications are invited for appointment at Simon Fraser University for a postdoctoral fellow in data science education and research. The successful candidate will be involved in all phases (conceptualization, design, implementation, analysis, and publication) of user studies using a computer-based learning environment designed to collect learning data as students solve data science problems.

Description of requirements for the position

  • PhD (or be close to completing a doctoral degree) in Computer Science, Information Science, Learning Sciences, Artificial Intelligence, Data Science, or related fields.
  • Experience with planning, coordinating, and conducting educational research studies using computer-based learning environments.
  • Experience in education data mining/analytics, machine learning, AI, and statistics. Practical experience conceptualizing and implementing complex analytical models using machine learning and data mining methodologies which learn from user behavior.
  • Ability to program an entire data analysis workflow (e.g., data understanding, data preparation, modeling, evaluation, deployment, communication).
  • Experience with data analytics toolsets (e.g., R) and standard data science packages and methodologies (e.g., Scikit-learn, Tensorflow).
  • Strong track record of research publications in journals and conferences.
  • Ability to work in a team environment.

This position is funded by the Canada Research Chairs Program. This position will be supervised by Dr. Tenzin Doleck. The appointment is for a one-year term. Please note that this is a full-time position based in Burnaby, BC, Canada, and the successful applicant must be eligible to work in Canada.

How to apply

Applicants should submit a cover letter (outlining skills and experience that directly relate to this position), a Curriculum Vitae, a portfolio of relevant work (e.g., portfolio website, GitHub projects, code samples, links to software development projects, demos), three relevant publications, and names and contact details of three references. Reference letters will only be requested from short-listed candidates.

Deadline for applications is July 31, 2023. The expected start date is Sep 1, 2023 (exact start date is negotiable).

Applications and inquiries (with the subject title “Postdoc SFU”) should be directed to:

Tenzin Doleck

tdoleck@sfu.ca

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