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PhD Position in AI for Finance at BFH, Uni Twente, and ECB

'As a researcher, I appreciate the relaxed attitude of the BFH with regard to working hours. The great flexibility offered in terms of time allows me to work on solutions for the future whenever I'm inspired - even at unconventional times.' Mascha Kurpicz-Briki

PhD Position in AI for Finance at BFH, Uni Twente, and ECB

100%
Limited for 3 years
Bern
Start date September 1, 2024 or by arrangement
Homeoffice possible
To start with, here are some of our strong points
  • An almost unbelievably large variety of themes and topics and a great mix of research and teaching.
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  • Plenty of contact with eager young people from all over the world who are set on achieving things.
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  • Curiosity is what we want, oodles of it. Plus, lots of independence and autonomy.
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  • Responsibility in hugely exciting projects for the future attracting attention beyond the professional world.
And here are even more good reasons to opt for BFH
What you'll be doing here
  • This PhD position is part of 19 openings within the MSCA Industrial Doctoral Network on Digital Finance, providing a European-wide doctorate in Digital Finance, with leading institutions such as the European Central Bank.
  • You will work on exciting research and innovation projects focused on data science, AI and ML applications in finance together with industry and academic expects from Switzerland and abroad.
  • You will have access to a specialized training program on Digital Finance created at the European level from a consortium of leading industry and academic experts.
  • You will work on industry-relevant topics on AI in Finance. Topics are subject to change.
  • You will spend at least 18 months in industry, with expected placements at the European Central Bank and the Bank for International Settlements. Your PhD-awarding university will be the University of Twente.
What you'll bring with you
  • Master's degree in Business, Economics, Engineering, Information Technology, Computational Science or related fields
  • A strong passion and outstanding skills in data science and experience working with programming languages and statistical software such as Python, R, C++
  • Knowledge on quantitative modelling of financial markets, econometric techniques, machine learning or quantitative empirical research methods
  • The ability to work on real-world problems in an interdisciplinary and internationally oriented environment
  • Good communication skills and an excellent command of English
Apply now
Business School

In the Business School, we offer an education with a clear practical emphasis for the digital change-makers of the future in the economy and society. Content we love to engage with includes topics such as New Work, digital business or public sector transformation.

Doing something meaningful in a fascinating environment and with an outlook to the future: a job at Bern University of Applied Sciencesmakes perfect sense.

Place of work
I’ll be your guide through the application procedure
Cédric Schmid
HR Berater
P +41 31 848 67 69
LinkedIn
Contact
For job-specific queries
Jörg Osterrieder
Dozent
P +41 31 848 58 81
Contact
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