Postdoc in Quantitative Finance (Applied Machine Learning)
EPFL · Lausanne
Description du poste
About the role
The Swissquote Chair in Quantitative Finance at EPFL is looking for postdocs to strengthen its research in quantitative finance, with a focus on applied machine learning. The precise research topic will be discussed with the successful candidate depending on their background, expertise and interests.
Key responsibilities
- Work and collaborate on research projects
- Analyse results and publish them
- Build a strong research network
- Take part in teaching and supervise PhD and master students
What we offer
- A stimulating and international working environment
- Competitive salary and excellent working conditions
- State-of-the-art research in one of Europe's most dynamic scientific institutions
- Interaction with internationally renowned experts and a strong team of postdocs and PhD students
Applications must be submitted through the online platform, with a cover letter (up to 2 pages), a CV with publications, a research statement (up to 3 pages) and three referee contacts. The contract is fixed-term for 1 year, renewable, with full activity.
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EPFL
Lausanne
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