Jobbeschreibung

PhD Student in Digital Finance, Data Science and AI

'What I particularly love about my job are the super-exciting projects. I'm right at the heart of them and lead them from initialization to implementation.' Priscilla Caliandro

PhD Student in Digital Finance, Data Science and AI

100% / Limited for 3 years / Bern / Start 01.06.2023 or by mutual agreement

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.,
• Plenty of contact with eager young people from all over the world who are set on achieving things.,
• Curiosity is what we want, oodles of it. Plus, lots of independence and autonomy.,
• Easy exchanging of views and ideas, also across the divisional boundaries.,
• National and international networks and contacts with business, economy, society and the political world.

And here are even more good reasons to opt for BFH

What you'll be doing here

• 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
• Write a cumulative doctoral thesis and scientific articles with the aim of publication in international top-tier scientific journals
• Active contribution in the acquisition of third-party funding for research projects with the freedom to lead research proposals for various funding schemes
• Offer teaching support for the department group Data Science, Finance, Accounting, and Tax
• Receive the opportunity to complete a doctorate in cooperation with a leading international university and be part of a team that leads large international research networks (through EU projects, COST Actions and research collaborations) including over 200 researchers from ̃40 countries.

What you'll bring with you

• You have a very good Master's degree in business/economics or a related field (e.g. Statistics, Mathematics, Industrial Engineering, Computer Science) or you are about to complete
• You have experience or a strong interest in quantitative empirical work and very good working knowledge in the application of statistical methods (Stata, R, Python)
• Ideally you have knowledge in the following areas: quantitative modelling of financial markets, econometrics, machine learning or quantitative empirical research methods
• You have an excellent command of written and spoken English
• You have perseverance, a strong interest and enthusiasm for science and academic research

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 Sciences makes perfect sense. We’re busy researching, developing and virtually bending our minds to come up with practical solutions for business, culture and people in Bern, in Switzerland and all over the world. Apart from being incredibly interesting, this is also a lot of fun, and we get to learn a lot as well. This cutting-edge knowledge benefits all who are studying here or doing part-time continuing education courses. We have great plans for the future: We join forces to make an effective contribution to a sustainable, digitally literate and health-conscious society. This is how we create great prospects for your future work with us.

Place of work

I’ll be your guide through the application procedure

Christine Kohler
HR Cosultant
P +41 31 848 44 97

ContactContact
Christine Kohler
HR Cosultant
P +41 31 848 44 97

Subject *Your Name *Your E-Mail *Message * Danke

For job-specific queries

Prof. Dr. Jörg Osterrieder
Professor
P +41 31 848 58 81

ContactContact
Prof. Dr. Jörg Osterrieder
Professor
P +41 31 848 58 81

Subject *Your Name *Your E-Mail *Message * Danke

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All current vacancies Application deadline 30.04.2023

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Extra Informationen

Status

Inaktiv

Ausbildungsniveau

Andere

Standort

Bern

Arbeitsstunden pro Woche

4 - 40

Jobart

Vollzeitstelle

Tätigkeitsbereich

Verkauf / Retail

Führerschein erforderlich?

Nein

Auto erforderlich?

Nein

Motivationsschreiben erforderlich?

Nein

Sprachkenntnisse

Deutsch