These PhD projects require a highly numerate graduate with skills and interests in computational science. Candidates should preferably have a Master’s degree in a quantitative discipline such as industrial engineering, operations research, mathematics or computer science (amongst others). Applications are admitted until 15th September 2016, or until a suitable candidate is found thereafter.
Project1: Data Science for Digital Customer Services in Retail Banking
In recent years the retail banking sector has begun to focus on digital customer service offerings as a means of attracting and retaining new customers. The usefulness of such offerings to customers is largely dependent on the underlying data processing capabilities. Data science, i.e. the application of new data technologies and data analytics processing, could offer the ability to provide an enhanced and personalised customer experience for customers of the bank.
Project2: Data Science for Data Management & Analytics in Retail Banking
Since the financial crisis in 2007, the banking sector has been subject to enhanced regulatory scrutiny. At the same time, data science – the application of innovative data technologies and advanced analytics capabilities – provides a challenge for banking data management. In addition the legacy data environments present within most banks provides additional challenge. There is an opportunity to leverage the new data capabilities and analytical techniques in relation to the challenges of data gathering and provisioning of banking analytics to enable banks to deliver business insight and regulatory reporting more quickly and with new controls & safeguards. Demonstrating reduced data risk to the regulators will allow banks to offer more to customers and with additional customer assurance & trust.
Informal enquiries about the projects to Prof Lesley Walls (email@example.com) or Dr Ashwin Arulselvan (firstname.lastname@example.org) or Dr Viktor Dörfler (email@example.com)
How to apply
Applications to: Ms Alison Kerr (firstname.lastname@example.org)
Candidates are required to have:
- An excellent undergraduate degree with Honors in a relevant business, scientific/technological or social science subject
- A Masters degree (or equivalent) will be strongly preferred.
- Students may also have other relevant experience or skills which are relevant to this project.
- All applications must be accompanied by a cover letter indicating the candidate's relevant skills/experience and how they can contribute to this research, as well as a CV and relevant qualification transcripts.
- Two references will be required
Guidance on references
We need two academic references as part of your application for a postgraduate research degree.
When choosing your referees, make sure they're able to comment on your potential to conduct academic research and that you've made them aware of your research proposal.
It's best to choose one referee who can comment on your performance at undergraduate level, if you graduated recently. If you wrote an undergraduate dissertation, your dissertation supervisor is likely to be a good choice.
Your other referee could be the Director of your Masters programme, your Masters Dissertation supervisor, or another member of the teaching staff who knows you well.
If you've been out of higher education for five years or more, one reference can be provided by a current or former employer.
Please ask your referees to follow these guidelines:
- provide the reference in either word document or PDF format
- display the letter-head of the referee's organisation
- clearly state the name and position of the referee
- contain, as a subject line, the name of the applicant the reference concerns (eg John Smith), the academic discipline (ie Management Science), and the institution the applicant is applying to (ie University of Strathclyde)
- don't exceed two sides of A4
References should cover as many of the points below as possible:
- a statement of how long, and in what capacity, you've known the applicant
- an assessment of the applicant's academic potential, with specific reference to the proposed research project
- an assessment of the applicant's previous training, qualifications, and experience that is of relevance to the proposed research project
- if appropriate, comment on the potential impact of the research and its significance to the academic discipline/s concerned
- an assessment of the applicant's ability to successfully complete the programme of study within the prescribed period
For non-academic references:
- an assessment of the applicant's professional performance compared to peers at the same career stage
- an assessment, if relevant, of the applicant's organisational and time management skills, and any project management or research experience
- comment on the applicant's capacity for innovation and original thought
For academic references:
- if the applicant has not completed their current degree programme, indicate the expected result
- an assessment of the applicant's ranking compared to other students on the same course or compared to other students you have taught (eg 5th in a class of 80, in the top 5% of students)