FREE Virtual Study Fair | 1 - 2 March | REGISTER NOW FREE Virtual Study Fair | 1 - 2 March | REGISTER NOW

Sustainable planning for Stochastic home healthcare; technology adaptive


   Centre for Business in Society

This project is no longer listed on FindAPhD.com and may not be available.

Click here to search FindAPhD.com for PhD studentship opportunities
  Dr Mahdi Bashiri  No more applications being accepted  Competition Funded PhD Project (Students Worldwide)

About the Project

This PhD project is part of the Cotutelle arrangement between Coventry University, UK and Deakin University, Melbourne, Australia.

Sustainable Home Health Care

The successful applicant will spend the 1st year at Deakin University and the following year at Coventry University and then the final 1.5 years at Deakin University . The supervision team will be drawn from the two Universities. Home Health Care is one of very important services which is usually provided to elderly people.

Although this service is not new but because of emerging new technologies, its method of delivery might have some changes. So, its planning might need some amendments to consider all relevant requirements as well as considering the sustainability issues. To make sure that the home health care planning will achieve a good success, it will need a proper planning.

This research will focus on the planning for a sustainable home healthcare. In this study not only the technology adaptation will be considered for the planning but also some other relevant issues for the planning will be considered to make sure that all aspects of sustainability including economic, social environmental and are achieved in the designed network. There are some concerns in this planning that will be considered in this research.

The issues such as existing of uncertain parameters in the planning, coordination between various service providers, emergency services, and sample life restrictions. In this research, an appropriate mathematical model will be developed to consider above mentioned concerns. As this model might need to be solved in various stages, a Matheuristic solution approach will be developed to be able to solve large size instances efficiently.  

Applicants must meet the admission and scholarship criteria for both Coventry University and Deakin University for entry to the cotutelle programme.  

This includes:  

  • Applicants should have graduated within the top 15% of their undergraduate cohort. This might include a high 2:1 in a relevant discipline/subject area with a minimum 70% mark (80% for Australian graduates) in the project element or equivalent with a minimum 70% overall module average (80% for Australian graduates). 
  • A Master’s degree in a relevant subject area, with overall mark at minimum Merit level. In addition, the mark for the Masters dissertation (or equivalent) must be a minimum of 80%. Please note that where a candidate has 70-79% and can provide evidence of research experience to meet equivalency to the minimum first-class honours equivalent (80%+) additional evidence can be submitted and may include independently peer-reviewed publications, research-related awards or prizes and/or professional reports. 
  • Language proficiency (IELTS overall minimum score of 7.0 with a minimum of 6.5 in each component).  
  • The potential to engage in innovative research and to complete the PhD within a prescribed period of study.  

For an overview of each University’s entry requirements please visit: 

https://www.coventry.ac.uk/research/research-opportunities/research-students/cotutelle-phd-programmes/

https://www.deakin.edu.au/research/become-a-research-student/research-degree-entry-pathways

Please note that it is essential that applicants confirm that they can physically locate to both Coventry University (UK) and Deakin University (Australia)

Application Process

All applications require full supporting documentation, a covering letter, plus an up to 2000-word supporting statement showing how the applicant’s expertise and interests are relevant to the project. All candidates must apply to both Universities.

For the Coventry application, please visit: https://pgrplus.coventry.ac.uk/

For the Deakin application, please visit: http://www.deakin.edu.au/research/become-a-research-student/how-to-apply-research-degrees

To find out more about the project please contact Dr Mahdi Bashiri ([Email Address Removed])


Funding Notes

Fully funded Deakin CU Led
Search Suggestions
Search suggestions

Based on your current searches we recommend the following search filters.

PhD saved successfully
View saved PhDs