May 02

PhD Opportunity: Three fully funded studentships in the domain of Internet of things and Data Science in humanitarian settings

We are pleased to announce three full-time PhD research posts in the areas of the Internet of Things/wireless sensing and data science based at Cogent Labs, Coventry University (Coventry, UK).

Cogent Labs is a world-leading applied research group at Coventry University, dedicated to analysis and development of sensing-based sociotechnical systems. It has a dual focus: robust, deployable pervasive sensing systems for real-life applications at scale; and effective packages for empowering users to maximise the benefits of those systems.

The posts are associated with the EPSRC research project – HELP-Refugee (Humanitarian Energy For Displaced Populations In Refugee Camp And Informal Settlements).

The three-year HELP-Refugee project aims to increase access to affordable, safe and sustainable energy for displaced communities throughout the world. Research into energy access, provision and demand within self-settlements and refugee camps in Africa and Asia will be used to aid future decision-making in the procurement and provision of critical energy products and services. By producing evidence-based ‘design for displacement’ protocols, we will empower humanitarian agencies with the knowledge required to develop and improve the wellbeing of inhabitants, securing intelligent energy solutions for lighting, cooking, heating, water and sanitation. More information about HELP-Refugee is available here: http://help-refugee.coventry.ac.uk

Three fully-funded PhD positions are available, in complementing topics. These are:

Long-lived Networked Sensors in Real-Life Deployments (https://www.coventry.ac.uk/research/research-students/research-studentships/long-lived-networked-sensors-in-real-life-deployments/)

This project will focus on investigating sensors and server failure modes in wireless networked sensor systems. You will develop both theoretical and practical solutions for preserving network life. These solutions will account for the application level data needs and the viability of the deployed network as an informational decision-enabling tool in specific real-life settings.

Data Mining for Mixed Methods Energy Datasets-Dealing with Uncertainty and Calibrating the “Human Sensor” (https://www.coventry.ac.uk/research/research-students/research-studentships/data-mining-for-mixed-methods-energy-data-sets-dealing-with-uncertainty-and-calibrating-the-human-sensor/)

The project will look at the challenges and opportunities of inferring knowledge from and/or making decisions based on diverse datasets such as those obtained from energy systems and questionnaires

Demand management and Adaptive User-Drive Energy Distribution in Renewable Micro-grids (https://www.coventry.ac.uk/research/research-students/research-studentships/demand-management-and-adaptive-user-driven-energy-distribution-in-renewable-micro-grids/)

The aims of the proposed PhD programme are to inform the development of wireless devices and tools to support integrated community-based micro-grids and micro-generation /distribution control; map the current gaps in education and technology that make them inaccessible or difficult to apply in the context of displaced populations and refugee camps. The project will include the development of prototype micro-grid management and control systems—based around wireless sensing and actuation—which are fit for purpose in functional deployed micro-grids.

Key Details:

Eligibility: UK/EU/International students with the required entry requirements

Award Details: £15000 bursary plus tuition fees

Closing Date: 19th June 2018

Start date: September 2018

To apply please visit the relevant application webpages above.

Please feel free to circulate this email to colleagues who may be interested in this post. If you have any queries, please Prof. Elena Gaura (e.gaura.coventry.ac.uk) or Dr. Ross Wilkins (ross.wilkins@coventry.ac.uk)

The research leading to these results has received funding from the EPSRC Global Challenges Research Fund under grant agreement n° EP/P029531/1.
| The research presented in this website has undergone ethical approval at Coventry University reference: P61091.