Actelligent and EIT PhD in Financial Technology Scholarship

This project and scholarship are linked to the PhD in Financial Technology programme. This new opportunity, funded by Actelligent and EIT Digital, will explore improving the accuracy of stock price forecasts by using the supply chain network between companies, as well as that of the boards of directors using machine learning and big data analytics. The successful candidate will be expected to undertake the project under the supervision of Dr Raffaella Calabrese, Professor Desmond Higham, and Dr Valerio Restocchi, along with industry experts at Actelligent.

This project would first map the network between corporations based on common directors in companies’ boards using a unique dataset provided by Actelligent and collected from Facset Research Systems Inc. With support from the supervisory team, the successful student will also create a second network based on competitor-partner and customer-supplier relationships using the same data, and analyse the interplay between the two.

ELIGIBILITY
Applicants will need to meet our minimum programme, English language requirements and any project specific criteria. Incoming student are expected to hold a distinction level (i.e. 70%, or UK equivalent) Masters certificate in the subject of: operations research, finance, economics, informatics, physics, mathematics, engineering, or another relevant programme with significant quantitative elements.

Students with significant finance and technology industry experience or with relevant professional qualifications and that also have a minimum of a Bachelor’s degree in the programmes stated above will be given due consideration on a case-by-case basis. For more information on this, the English requirement and project criteria please visit: https://www.business-school.ed.ac.uk/scholarships/actelligent.

HOW TO APPLY
Project applicants must apply online using our application form found here: https://edin.ac/2TFXXUE. When submitting, you should include a cover letter detailing why you are a good candidate for the particular project you would like to be considered for, and any other required documents.

The deadline to apply is 23:59 (GMT) on 12 July 2020.

Eligible applicants will be ranked by a selection panel and applicants will be notified if they have been shortlisted for interview. Interviews are anticipated to be scheduled early August 2020, with the successful candidate joining the programme in September 2020.