EPSRC Industrial CASE PhD Scholarship in Business Model Transformation via Data-driven Innovation and Big Data Analytics
University of Edinburgh - Management Science and Business Economics
|Funding for:||UK Students, EU Students|
|Funding amount:||£15,000 to £23,000 per annum|
|Placed on:||13th April 2017|
|Closes:||15th May 2017|
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Application deadline 15th of May 2017
Value (circle fees & specify stipend)
Stipend: £15,000 - £23,000
We equally value academically oriented or practice oriented candidates.
Different employment scenarios – employment at Costain and/or student status – and flexible working approaches can be considered. A stipend commensurate to candidate experience can be negotiated.
Nationality Criteria (circle all eligible)
All Countries but please note that funding level is UK/EU fees only.
Additional entry criteria
This research explores the potential transformational impact of digital technologies in construction projects by investigating the challenges and opportunities offered by the deployment of big data analytics solutions across the construction supply chain.
The overarching goal of this project is to: identify new business opportunities stemming from innovative generation and use of data
By focusing on a portfolio of construction sites belonging to Costain’s major infrastructure projects, such as Highway England and Network Rail, we will develop data-driven decision support tools that will assist decision-making processes at a strategic, tactical and operational level.
From an academic standpoint, being able to interact with site managers and to map and analyse existing business processes in the context of major infrastructure projects offers an endless stream of practice-inspired challenges on which Big Data analytics solutions, such as data-driven automated reasoning tools, can be applied.
This project will train a well-rounded PhD researcher possessing theoretical understanding of contemporary issues in data-driven supply chain research as well as technical skills required to design, implement, and deploy analytics solution across a complex and fragmented supply chain.
In addition to meeting the minimum entry requirement of the Business School, the successful applicant should have:
A background (possibly MBA or MSc/BSc in a related subject, or working experience): Business Management and/or Supply Chain Management and/or Engineering.
A background (possibly MBA or MSc/BSc in a related subject, or working experience): Operational Research and/or Artificial Intelligence and/or Business Analytics and/or Statistics.
Further details are available from the School’s website
The award will be for four years, subject to satisfactory progress, at the following rates:
- standard UK/EU tuition fee plus maintenance fee of £tbc per year
The supervision team would consist of Dr Roberto Rossi of the Business School and Dr Rob Baxter, Edinburgh Parallel Computing Centre.
Award announcement date
Shortlisted candidates should expect to attend an interview either in person or on the telephone or via Skype, or to have been interviewed already by a potential supervisor.
Recipients of the scholarships are usually announced approximately tbc
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