Postdoc in Quantitative Finance and Applied Machine Learning, EPFL
Job Description
The Swissquote Chair in Quantitative Finance at EPFL is hiring postdocs in quantitative finance with a focus on applied machine learning. The call is open until filled.
At a glance
- Post: Postdoc in Quantitative Finance and Applied Machine Learning
- Where: Swissquote Chair in Quantitative Finance, EPFL, Lausanne, Switzerland
- Pay: on the EPFL scale for this grade; the advert gives no figure
- Closing date: none given. EPFL reviews applications as they arrive, so the post is open until filled. We re-check these listings about every 30 days
Read the official EPFL advertisement before you apply.
The project
The chair is reinforcing its research in quantitative finance, with applied machine learning as the focus. The advertisement is unusually open about the topic: the precise research subject will be discussed with the successful candidate, depending on their background, expertise and interests.
Main duties are working and collaborating on research projects, analysing and publishing results, and building a strong network in the field. For a postdoc, a position where the topic is negotiated, and not handed down, is worth noticing.
Quantitative finance at EPFL sits inside a strong engineering school, which shapes the work: the questions tend to be methodological, and the machine learning is applied to real market and risk problems. The Swissquote Chair is endowed by the Swiss online bank of the same name.
What you need
- A PhD in finance, economics, mathematics, statistics, computer science or a related quantitative field
- Strength in applied machine learning
- Read the official advertisement for the full requirements
Pay and conditions
EPFL pays doctoral assistants and postdoctoral researchers on published Swiss federal scales, which are among the higher ones in Europe. This advertisement states no figure, so check the scale for your grade and the cost of living in Lausanne before you decide.
How to apply
Apply through the EPFL careers page for this post. The advertisement gives no closing date. EPFL reviews applications as they come in, so apply early.
Browse more research jobs on ResearchJobs.in, or search our Find a supervisor page.
Hiring institution: École Polytechnique Fédérale de Lausanne (EPFL)
Official advertisement: careers.epfl.ch
How to prepare for this application
- Bring a topic. The chair sets the subject with the candidate, so arriving with a proposal is an advantage.
- Show applied work. Methods tested on real market data count for more here than theory alone.
- EPFL works in English. Research and teaching at this level run in English, so French is useful but rarely required.
- Doctoral candidates apply twice. A lab offer at EPFL is normally followed by admission to a doctoral programme, so check the programme's own requirements too.
About EPFL
The École Polytechnique Fédérale de Lausanne is one of Switzerland's two federal institutes of technology. It has more than 6,500 staff and over 18,500 people on campus, including more than 14,000 students and 4,000 researchers from over 120 countries, with sites at Lausanne, Neuchâtel, Fribourg, Sion, Geneva and Villigen.
