PhD Student Digital Finance, Data Science and Artificial Intelligence
|Published||October 30, 2022|
Collaboration on an exciting (SNSF-funded) research project at the intersection of P2P Lending, Machine Learning, and Credit Risk Modelling.
Writing a doctoral dissertation and scientific articles for publication in leading international scientific journals
Participation in the solicitation of third-party funding for research
Aid for teaching in the department of Finance, Accounting, and Tax
Possibility to pursue a doctorate in partnership with a preeminent international university, the University of Twente in Netherlands
(Department of High-tech Business and Entrepreneurship, Section IEBIS)
Competitive salary in line with the SNSF regulations (https://www.snf.ch/media/en/rnVofsFJ4mwCrneh/merkblatt-mitarbeitendenkat...), about 47k CHF/ year plus social benefits.
Duration of PhD studies is expected to be four years.
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REQUIRED EDUCATION LEVELEconomics: Master Degree or equivalentComputer science: Master Degree or equivalentMathematics: Master Degree or equivalent
Master's degree in economics or a related field (e.g. statistics, mathematics, industrial engineering) or are about to graduate with a master's degree.
Experience with or enthusiasm for quantitative empirical analyses and exceptional statistical application skills (Stata, R, Python)
Knowledge of quantitative modeling of financial markets, econometrics, machine learning/AI, or empirical quantitative research should ideally be very strong.
You are proficient in both written and spoken English.
Persistence, enthusiasm, and enjoyment in scientific work.