Publisher
source

Ying Wang

Top university

4 months ago

Finance Cambridge in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

The PhD studentship is fully funded by the ESRC Cambridge Doctoral Training Partnership. Funding covers tuition and provides a stipend. Exact stipend amount and further financial details are not specified in the post.

Deadline

Expired

Country flag

Country

United Kingdom

University

University of Cambridge

Social connections

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Where to contact

Official Email

Keywords

Computer Science
Finance
Artificial Intelligence
Business
Fintech
Doctoral Studies

About this position

A fully-funded PhD studentship is available at the University of Cambridge, focusing on Artificial Intelligence and the Future of Finance. The position is funded by the ESRC Cambridge Doctoral Training Partnership and offers an excellent opportunity for candidates interested in the intersection of AI, fintech, and finance. The studentship covers tuition and provides a stipend, making it a financially attractive option for prospective PhD students. The main contact and likely supervisor is Dr Ying Wang, Associate Professor of Finance, who has expertise in fintech, AI, and corporate finance.

Applicants should have a strong academic background in a relevant field such as finance, computer science, or a related discipline, and an interest in AI and fintech. For more information or to discuss the opportunity, candidates are encouraged to contact Dr Ying Wang directly at [email protected]. The application window is currently open, but no specific deadline is mentioned. This is an excellent opportunity for those seeking to pursue advanced research at a world-leading institution in a rapidly evolving area.

Funding details

The PhD studentship is fully funded by the ESRC Cambridge Doctoral Training Partnership. Funding covers tuition and provides a stipend. Exact stipend amount and further financial details are not specified in the post.

What's required

Applicants should have a strong academic background in a relevant field such as finance, computer science, or a related discipline. Interest or experience in artificial intelligence and fintech is desirable. Specific degree level or GPA requirements are not mentioned. For further details, candidates are encouraged to contact Dr Ying Wang.

How to apply

Contact Dr Ying Wang at [email protected] for further information or to discuss the opportunity. Applications are now open. Follow up for application procedures and requirements.

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