22 Sep 2023
Job Information
- Organisation/Company
- Berner Fachhochschule
- Department
- Services, Human Resources
- Research Field
- OtherEconomics » Applied economicsEconomics » Financial scienceAll
- Researcher Profile
- First Stage Researcher (R1)
- Country
- Switzerland
- Application Deadline
- Type of Contract
- Temporary
- Job Status
- Full-time
- Hours Per Week
- 42
- Offer Starting Date
- Is the job funded through the EU Research Framework Programme?
- HE / MSCA
- Is the Job related to staff position within a Research Infrastructure?
- No
Offer Description
- 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
Requirements
- Research Field
- All
- Education Level
- Master Degree or equivalent
Skills/Qualifications
- 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
- Languages
- ENGLISH
- Level
- Excellent
Additional Information
Work Location(s)
- Number of offers available
- 2
- Company/Institute
- Bern Business School
- Country
- Switzerland
- Geofield
Where to apply
- joerg.osterrieder@bfh.ch
Contact
- City
- Bern
- Website
- Street
- Falkenplatz 24
- Postal Code
- 3012