PhD Fully-Funded Studentship in Warehouse Operations Optimization in UK, 2019

Published: 4 years ago Total 1094 views

Cranfield University

College Rd, Wharley End, Bedford , MK43 0AL, United Kingdom

All scholarships

Deadline

30 June 2019

Study in

United Kingdom

Providers

Cranfield University

Study Level

PhD

Area of Study

Subject Offered by University

Funding Types

Fully Funded Scholarships

Introduction

Applications are invited for PhD Fully-Funded Studentship in Warehouse Operations Optimization in UK. Applications are open for students of UK, EU, and rest of the world to pursue PhD degree at the Cranfield University.

Benefits

This golden fully-funded opportunity will provide a bursary of up to £15,009 (tax-free) plus course fees for three years.

Eligibility

Eligible Countries: The UK, EU, and Rest of the world.
Acceptable Course or Subjects: They can apply for a PhD level program for building models of an existing warehouse system and proposing new operational models to improve the existing system at the university.
Admissible Criteria: Having the programming experience in a scientific language (MATLAB, R, or Python) is important for this course. You must have the necessary social skills to engage with stakeholders and to communicate their research to nontechnical audiences.
An Ideal student 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.

Others

If you think that, you have the potential to complete for this program. Then follow the instructions for applying to this course-

Candidates should need to enroll in a PhD in Leadership and Management degree course at the university and make sure to quote reference number SOM0004 within your application. If you meet the eligibility criteria successfully, then you will be automatically selected for the grant.
A brilliant candidate must have a minimum of a good postgraduate/undergraduate degree with 2.1 or higher in Logistics and Supply Chain Management, Industrial Engineering, Systems Engineering, or Applied Mathematics.