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PhD Student in Digital Finance, Data Science and AI at BFH and University of Twente

BFH | online seit: 14.11.2023 
Arbeitsort: Bern
100%

Fixed-term for 3 years (with option for extension)

Bern

Start date by arrangement
  • 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 (University of Twente) and be part of a team that leads large international research networks (through EU projects, COST Actions and research collaborations) including over 300 researchers from ˜50 countries. A six-month stay abroad at a foreign university under an SNF grant is envisioned
  • Join the MSCA Doctoral Network on Digital Finance, providing a European-wide doctorate in Digital Finance, with leading institutions such as the European Central Bank
  • 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
30.04.2023
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