The Swissquote Chair in Quantitative Finance at EPFL seeks postdocs to reinforce our research in quantitative finance with a focus on applied machine learning.

Main duties and responsibilities
The successful candidates will have a PhD and an outstanding research profile in modern machine learning and applications to finance or related fields. They will be expected to actively contribute to the research and outreach of our group, and assist in teaching in the Financial Engineering Master’s program. The contract is for an initial period of one year, extendable up to three years.

How to apply
Candidates should send:

  • A CV (including the names and addresses of two referees)
  • A copy of their official degree transcripts
  • A research statement

Review of applications begins immediately and continues until the position is filled. Short-listed candidates may be invited for an interview.
All files should be emailed as attachments in PDF format to sophie.cadenakauz@epfl.ch including a brief cover letter in the main body of the email and subject: “Application for postdoc in Quantitative Finance”.
Candidates should ask their two referees to send their letters directly to the same email address.

More information is available on https://careers.epfl.ch/job/Lausanne-Postdoc-Position-in-Quantitative-Finance-at-EPFL/1164777855/