About the Project
Faculty of Business, Greenwich Campus
One of the biggest challenges in supply chain management is to meet customer demand in time. It becomes even more challenging in an emergency environment. For example, during the beginning of the pandemic, demand for toilet paper, sanitation and disinfectant products hit rocket high, which resulted in the whole supply chain experiencing problems such as sourcing materials, managing manufacture and logistics capacity, and coordinating between upstream and downstream counterparts. With the on-going pandemic, uncertainties in the supply chains continue. The traditional supply chain management strategies such as lean and agile are struggling to fit the new norms. There is an urgent need to develop new strategy that can better handle demand responsive supply chain.
Big-data analytics plays a key role in capturing demand changes and making real-time decisions. This project aims to develop big-data analytics framework and machine learning models that can help managers make prompt decisions in demand responsive supply chains. We are looking for an ambitious junior researcher to join us. He/she is expected to either have good experience with Python or R or equivalent skills, or has a good understanding of supply chain management, although ideally, both.
For further information please contact the supervisor: Prof. Li Zhou [Email Address Removed]
Bursary available (subject to satisfactory performance):
Year 1: £15,285
Year 2: In line with UKRI rate
Year 3: In line with UKRI rate
The successful candidate will receive a contribution to tuition fees equivalent to the university’s Home rate, currently £4,407, for the duration of their scholarship. International applicants will need to pay the remainder tuition fee, currently £10,593, for the duration of their scholarship. This fee is subject to an annual increase. Scholarships are available for three years, full-time study from the date scholars first register as an MPhil/PhD student with the university. Applicants must meet the programme entry requirements.
For additional information about the scholarship please go to: https://www.gre.ac.uk/research/study/research-studentships-and-scholarships
How to apply
Please read this information before making an application. Applications need to be made online via https://www.gre.ac.uk/research/study/apply/application-process. No other form of application will be considered.
All applications must include the following information. Applications not containing these documents will not be considered.
• Scholarship Reference Number (Ref) – included in the personal statement section together with your personal statement as to why you are applying
• a research proposal *
• a CV including 2 referees *
• academic qualification certificates/transcripts and IELTs/English Language certificate if you are an international applicant or if English is not your first language or you are from a country where English is not the majority spoken language as defined by the UK Border Agency *
*upload to the qualification section of the application form. Attachments need to be in PDF format.
The closing date for applications is midnight (UTC) on 19th October 2020
The scholarship must commence before January 2021.
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