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EPFL

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Postdoc Position in Quantitative Finance at EPFL EPFL in Switzerland

Degree Level

Postdoc

Field of study

Computer Science

Funding

Competitive salary and excellent working conditions; postdoc contract duration 1 year renewable.

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Country

Switzerland

University

EPFL

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Keywords

Computer Science
Mathematics
Finance
Time Series Analysis
Quantitative Finance
Asset Pricing
Economics
Statistics
Statistical Modelling
Research Method
ML

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About this position

The Swissquote Chair in Quantitative Finance at EPFL is recruiting a postdoctoral researcher to strengthen its work in quantitative finance with a particular focus on applied machine learning.

The postdoc will join a research environment centered on collaborative projects, analysis and publication of results, and building a strong professional network in the field. The research topic will be shaped with the successful candidate according to background, expertise, and interests, allowing the project to align with the candidate’s strengths while contributing to the chair’s broader research agenda.

The role also includes participation in education as well as supervision of PhD and master’s students, indicating an active involvement in the academic life of the group. The advert emphasizes an international working environment and interaction with internationally renowned experts, alongside a strong team of postdoctoral researchers and PhD students at EPFL.

The position is connected to the Swissquote Chair and the CSF lab at EPFL.

Funding details

Competitive salary and excellent working conditions; postdoc contract duration 1 year renewable.

What's required

Applicants must submit a brief cover letter (up to 2 pages), a CV with publication list, a research statement (up to 3 pages), and contact details for 3 referees. The advert does not specify a required degree grade, but the role is for postdocs and is aimed at candidates with background, expertise, and affinities relevant to quantitative finance and applied machine learning.

How to apply

Apply only through the online platform at the EPFL careers page. Prepare and upload a cover letter, a CV with publication list, a research statement, and referee contact details. For further information, contact Ms Sophie Kauz-Cadena by email.

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