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.
|Deadline||The deadline for this scholarship has now passed|
UK/EU tuition fees plus £20,000 stipend awarded annually for up to 4 years
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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.
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.
Meet the PhD programme academic requirements. This normally requires a minimum qualification (or expected qualification if you are a current Master's student) of above-average academic achievement, quantified as 70% or above overall at the Masters level, with a distinction level dissertation (or UK equivalent) 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 tech 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.
The most commonly approved certificate is an IELTS, for which the minimum accepted score is 7.0 overall with at least 6.0 in each section.
- Honours degree in one of the following:
- Financial Mathematics
- Financial Engineering
- Strong mathematical or statistical background
- Programming skills
- Knowledge of network analysis
How to Apply
Project applicants must apply online using our application form. 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.
If your application is successful, you will then be asked to submit additional details in order to be registered as a student.
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.
University of Edinburgh Business School
29 Buccleuch Place