How-to-PhD

A collection of resources and information for concrete skills that are helpful when pursuing a PhD in computer science (specifically in ML/AI or related disciplines)

View the Project on GitHub mmcdermott/How-to-PhD

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Moving On

Overview

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Thesis & Graduation

Guiding Questions

  1. How much should you care about your thesis?
  2. What makes a good thesis?

Overall Commentary & Key Take-aways

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Specific Resources

Interview Highlights

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Academic Careers

Guiding Questions

  1. What does the academic job market application process look like?
  2. What are the critical pieces you should keep in mind throughout your PhD to best enable getting an academic job?
  3. How can you best prepare for the academic job market in the year and a half leading up to graduation?
  4. Concretely, …
    1. Where do you look for academic job postings?
    2. What goes into an academic job application?
    3. What are some examples of good and bad academic job packets?

Overall Commentary & Key Take-aways

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Specific Resources

Interview Highlights

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Industry Careers

Guiding Questions

  1. What does the industry job market application process look like?
  2. What are the critical pieces you should keep in mind throughout your PhD to best enable getting an industry job?
  3. How can you best prepare for the industry job market in the year and a half leading up to graduation?

Overall Commentary & Key Take-aways

Under Construction

Specific Resources

Interview Highlights

Under Construction