Don't miss our weekly PhD newsletter | Sign up now Don't miss our weekly PhD newsletter | Sign up now

  IoT as service for Flood Resilience


   Centre for Digital Innovation

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 Usman Adeel  No more applications being accepted  Funded PhD Project (Students Worldwide)

About the Project

This project will work together with communities to drive innovation in Integrated water management system using IoT for flood resilience. It will involve sensing, monitoring, and data collection, to assist with design and validation of innovative solutions and develop a sustainable sensing and monitoring system.

This project will involve:

  1. Evaluation of monitoring and sensing approaches review existing data sources.
  2. Development of knowledge framework for sharing and disseminating real time data. 
  3. Creation of the foundations for data discovery and directory service in the form of tools enabling stakeholders such as community, scientists, councils, and citizens to explore and add various forms of static and real-time IoT data, to assist in design.
  4. Development and installation a monitoring and sensing framework for data collection, from fixed and mobile sensing devices to single federated repository. This will include scaling of existing IoT approaches and exploration of current models to ensure its sustainability.  
  5. Development of tools and methodologies to support the co-creation of services through community engagement considering varying levels of technical knowledge. 
  6. Validation of performance and usability of proposed innovative solutions on the integrated facility to demonstrate the added value.

Entry Requirements

Applicants should hold or expect to obtain a good honours degree (2:1 or above) in a relevant discipline. A masters level qualification in a relevant discipline is desirable, but not essential, as well as a demonstrable understanding of the research area. Further details of the expected background may appear in the specific project details. International students will be subject to the standard entry criteria relating to English language ability, ATAS clearance and, when relevant, UK visa requirements and procedures.

How to Apply

Applicants should apply online for this opportunity at: https://e-vision.tees.ac.uk/si_prod/userdocs/web/apply.html?CourseID=1191

Please use the Online Application (Funded PHD) application form. When asked to specify funding select “other” and enter ‘RDS’ and the title of the PhD project that you are applying for. You should ensure that you clearly indicate that you are applying for a Funded Studentship and the title of the topic or project on the proposal that you will need to upload when applying. If you would like to apply for more than one project, you will need to complete a further application form and specify the relevant title for each application to a topic or project.

Applications for studentships that do not clearly indicate that the application is for a Funded Studentship and state the title of the project applied for on the proposal may mean that your application may not be considered for the appropriate funding.

For academic enquiries, please contact [Email Address Removed]

For administrative enquiries before or when making your application, contact [Email Address Removed]

Computer Science (8) Engineering (12) Mathematics (25)

Funding Notes

The Fees-Paid PhD studentship will cover all tuition fees for the period of a full-time PhD Registration of up to four years. Successful applicants who are eligible will be able to access the UK Doctoral Loan scheme https://www.gov.uk/doctoral-loan to support with living costs. The Fully Funded PhD Studentship covers tuition fees for the period of a full-time PhD Registration of up to four years and provide an annual tax-free stipend of £15,000 for three years, subject to satisfactory progress. Applicants who are employed and their employer is interested in funding a PhD, can apply for a Collaborative Studentship.
Search Suggestions
Search suggestions

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