Postgraduate research opportunities Resilient Supply Chains in Disaster ManagementApply
- Opens: Tuesday 17 January 2023
- Deadline: Friday 31 March 2023
- Number of places: 1
- Duration: 36 months
- Funding: Home fee, Stipend
OverviewThe project will investigate supply chain optimization for complex multi-echelon operations under uncertainty, which can easily propagate in such a system. This is particularly challenging during emergency situations, whether local or global and can be sudden or predictable within a short time. The researcher is expected to develop mathematical optimization models and design customised algorithms to address these problems under various considerations.
1st class honours/undergraduate degree (essential) and an excellent Masters-level qualification or equivalent (strongly desirable), in a highly quantitative subject such as Computer Science, Operations Research,Mathematics, Statistics, or Engineering. Proficient programming skills in an object-oriented programming language are highly desirable.
Strathclyde Business School is committed to supporting a diverse and inclusive postgraduate research population. We make decisions on entry by assessing the whole person and not relying solely on academic achievements. On that basis, please ensure that your application (via your CV and covering letter) can evidence your resourcefulness, commitment and resilience as demonstrated by broader professional and life experiences. This evidence should be centred on your ability to undertake and complete a PhD and contribute to a positive PhD community.
If English isn't your first language, you'll need an IELTS score of 6.5 or equivalent with no individual element below 5.5.
Your application must include:
- A cover letter presenting your academic path, motivation for doing a PhD and fit with the advertised research project
- An updated curriculum vitae
- Details of two academic referees, including email addresses
- Academic transcripts, which must be certified copies
Existing methods of supply chain optimization for complex multi-echelon operations are often computationally expensive, and this problem is further complicated when uncertainties are involved, which propagate upstream or downstream in such a multi-echelon system. This becomes a particular challenge during emergency situations, which involves in finding an efficient transition to accommodate the new requirements of an emergency situation that can be either local (e.g., floods, forest fires) or global (e.g., pandemics) and can be sudden (e.g., earthquakes) or predictable within a short time frame (e.g., pandemic, hurricanes).
Supply chain emergency response management has focussed on individual dimensions such as agility, risk/knowledge management, operational planning (e.g., logistics, facility location, or inventory management), humanitarian issues, and multi-level integration. There is need to develop theory and mathematical models that perceives this as a multifaceted and integrated problem, as well as computational tools that maximize existing data analytics and algorithmic capabilities in the current data-driven world.
The project aims to attempt to address several research questions, such as:
- Do cooperative strategies offer superior benefits in post-disaster supply chain planning?
- What is the best recovery time that one can meaningfully accomplish in the event of a disaster?
- How can we incorporate difficult decisions such as choosing which customers/products to serve?
We are interested in mathematically modelling these problems and designing customised algorithms and data analytics tools and perform extensive computational testing.
Students will be funded to attend advanced Operational Research training courses, and provided opportunities to attend workshops and conferences to present their work.
Fully-funded scholarship for 3 years covers all university tuition fees (at UK level) and an annual tax-free stipend. International students are also eligible to apply, but they will need to find other funding sources to cover the difference between the home and international tuition fees. Exceptional international candidates may be provided funding for this difference.
Number of places: 1
There will be a shortlisting and interview process.
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Start date: Oct 2023 - Sep 2024
Programme: Management Science
For further details contact Kerem Akartunali, firstname.lastname@example.org or Ashwin Arulselvan, email@example.com.