Postdoctoral Fellowship - CfET

The successful candidate will join a team of researchers working in this area and contribute to strengthening the Centre's research output. The role is research-focused and does not include teaching duties, though research-related tasks within the Centre are expected.

Qualifications

• PhD in Finance or Economics
• Strong programming skills in R or Python
• Solid experience in empirical research, including panel data methods, ideally with firm-level data
• Experience with machine learning and/or artificial intelligence techniques is an asset
• Strong research potential with the ambition to publish in leading finance journals
• Ability to work independently and collaboratively in a research team

What We Offer

• Competitive salary (by agreement)
• Travel and research support
• Research assistant support
• Access to all major financial research databases
• A strong research infrastructure supporting high-quality academic work

Further Information

Start date is subject to agreement. The positions will only be filled if qualified candidates are identified. Contact Canan Kus via e-mail for inquiries. See for more information about the Centre, department and Frankfurt School.

Application Instructions

Applicants must submit their job-market paper (if available) and work-in-progress abstracts, which reflect their area of research interest. In addition, applicants should submit an updated CV (including a complete list of working papers publications). Two reference letters must also be submitted. Candidates may be asked to forward further information and/or be called in for an interview. All material needs to be uploaded via Interfolio.