Cranfield School of Management in the UK is inviting applications for its PhD Fully-funded Studentship in Warehouse Operations Optimization for the 2019/2020 academic session.
The PhD research can be characterized as operational research, building models of an existing warehouse system and proposing new operational models to improve the existing system. It will contribute to the operational research discipline as well as warehouse management field by developing new models to optimize picking operations, using the emerging technological solutions offered by picking robots or other applicable technologies.
The PhD research will aim to improve warehouse picking operations using intelligent robots, specifically, path planning of intelligent picking robots.
Worth of Award
Sponsored by Cranfield School of Management, this fully-funded studentship will provide a bursary of up to £15,009 (tax-free) plus course fees for three years.
To be considered eligible;
- Applicants must have a minimum of a good postgraduate/undergraduate degree (2.1 or higher) in Logistics and Supply Chain Management, Industrial Engineering, Systems Engineering, or Applied Mathematics.
- The ideal candidate will have a background in Operational Research, having built mathematical models in their MSc or Undergraduate projects, although these do not have to be at large scale.
- The applicant’s academic writing ability will be evaluated based on the proposal submitted. The proposal should have an initial literature review on path planning in a warehouse and preliminary mathematical formulation.
- Programming experience in a scientific language (MATLAB, R, or Python) is a must. The candidate should demonstrate self-initiation and self-learning.
- The applicant has to satisfy the general requirements for a PhD at Cranfield (numerical reasoning and critical thinking tests and the interview) and have the necessary social skills to engage with stakeholders and to communicate their research to nontechnical audiences.
How to Apply
- If you are eligible to apply for this studentship, please complete the online application form making sure to quote reference number SOM0004 within your application.
- For further information please contact:
- Professor Emel Aktas
E: [email protected]
T: (0) 1234 750111 Ext: 2420
Deadline: Application closes June 30, 2019.