Dr Y Moshfeghi, Prof C Revie, Dr M Goodfellow
No more applications being accepted
Funded PhD Project (European/UK Students Only)
About the Project
Utilising new and emerging Artificial Intelligence (AI) methods to study research questions on Financial Technology including but not limited to Ontologies and Knowledge Representation within this domain.
Project Details
Financial Technology (FinTech) is transforming the finance industry. The growth of FinTech is both emergent and rapid, with significant potential to disrupt the UK’s substantial financial services industries. This presents new challenges and provides new opportunities to improve the way individuals and organisations consume, purchase and manage their finances as well as the strong possibility of reinventing financial services, creating new businesses, generating employment and improving productivity.
The PhD student(s) will utilise new and emerging Artificial Intelligence (AI) methods to study research questions on Financial Technology including but not limited to Ontologies and Knowledge Representation in the FinTech domain. Particularly, the aim of the research is to investigate how ontologies and knowledge representation mechanisms can ensure that FinTech-oriented data lakes do not become data ‘swamps’. We expect that the finished work will be of interest to both academics and practitioners in the area of financial technology (FinTech).
Centre for Doctoral Training
The University of Strathclyde is delighted to announce the establishment of the Centre for Doctoral Training (CDT) in FinTech. The CDT aims to train the next generation of researchers who will design, develop and test novel, advanced and generalisable Artificial Intelligence and Data Science approaches and by doing so, will provide answers to substantial questions relating to the study of FinTech.
The CDT is a multidisciplinary endeavour bringing together faculty from Accounting & Finance (Dr James Bowden, Daniel Broby, Dr Devraj Basu, Dr Andrea Coulson, Prof Lesley Walls), Management Science (Dr Viktor Dorfler), Marketing (Dr Matthew Alexander), Computer and Information Sciences (Dr Yashar Moshfeghi, Dr Martin Goodfellow, Prof Crawford Revie), mathematics and statistics (Michael Grinfeld), Design, Manufacturing and Engineering Management (Dr Kepa Mendabil), and Humanities and Social Sciences (Prof Daniela Sime).
The PhD students will be registered to the PhD programmes in Business, or Computer and Information Science depending on the requirements of their project (see details below). As well as the training provided in their registered degree programme, the PhD students will be able to attend to a selection of the classes from the Artificial Intelligence & Applications, Advanced Computer Science with Big Data, and/or Finance and Financial Technology courses depending on their background, training needs and research projects.
Successful applicants will also be a part of a vibrant and rapidly emerging research group on data science for FinTech consisting of a number of PhD students, research assistants, postdoctoral researchers, primary supervisors as well as other associated faculty. The research group will provide specialist customised training to the PhD students on data science. Furthermore, the research group has a number of large-scale active research projects and upcoming proposals, which will provide hands-on training.
University funded project
Fee waiver at Home/EU rate and annual stipend
*Whilst open to International candidates, please note that this scholarship covers Home/EU/RUK Fee rate only
Deadline
All applications should be submitted by 31/07/2020. We advise applications to be submitted as soon as possible as we will start conducting skype and/or Zoom interviews for shortlisted applicants immediately.
Duration
42 months from October 2020
Eligibility
Candidates are required to have:
• Interest in the Data Science and/or Artificial Intelligence approaches to tackle Financial Technology problems, and more specifically on Ontologies and Knowledge Representation.
• Background in Computing Science (Artificial Intelligence, Data Science, Natural Language Processing, Information Retrieval or any other cognate discipline) with a first or 2:1 UK Honours degree, or overseas equivalent and/or a Master degree. We also welcome applicants with a Maths and Stats or FinTech background, who demonstrate a strong interest in the topic.
• Excellent analytical skills and a demonstrable aptitude to undertake research and develop into an independent researcher.
• Prior knowledge and/or willingness to learn advanced Data Science, Machine Learning and Artificial Intelligence approaches as well as the ability to conduct research in an interdisciplinary domain of Data Science and FinTech.
• Excellent written and oral English language skills (see the application page for minimum test scores if English is not your first language): https://www.strath.ac.uk/courses/research/computerinformationsciences/
Supervisors
• You will be registered to the PhD in Computing Science programme based at Department of Computer and Information Sciences, under the primary supervision Dr Yashar Moshfeghi and secondary supervision of Prof Crawford Revie, and Dr Martin Goodfellow: https://www.strath.ac.uk/courses/research/computerinformationsciences/
Contact Us
Dr Yashar Moshfeghi: [Email Address Removed]
and/or
Prof Crawford Revie: [Email Address Removed]
Funding Notes
• One studentship covering home/EU fees and a tax-free stipend circa £15,384 per annum for 42 months. International applicants will need to cover the difference between Home/EU and International fees.
• We also welcome self-funded or externally funded applications.
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