PhD Studentship in Shared Intelligence for Machines in Extreme Environments
University of Southampton School of Engineering
United Kingdom

PhD Studentship in Shared Intelligence for Machines in Extreme Environments

School of Engineering

Location:  Highfield Campus

Closing Date:  Monday 31 August 2020

Reference:  1259520DA

Supervisor:                 Blair Thornton (FSI) & Jon Hare (Electronics and Computer Science)

Project description

Understanding the Earth's environmental frontiers - from planetary interiors to space - is essential for tackling global challenges and hazards, but they are inaccessible using conventional means. Although these environmental frontiers are remote or otherwise hard to access, they contain the majority of resources, and the natural hazards that take place in them (e.g. space weather, earthquakes, tsunami and flooding) can result in significant humanitarian casualties and economic disruption (in the order of billions of dollars a day) through damage to our infrastructure.

The In-situ and Remote Intelligent Sensing (IRIS) FEPS Centre of Excellence will fund a single PhD that will further our goal to persistent awareness of these environments, to capture more relevant information and facilitate timely, well informed decisions that will improve the sustainability and resilience of our infrastructure and the safety of citizens. IRIS has been established with the ultimate aim of developing intelligent, connected and multi-sensor capabilities that enable persistent awareness of the regions, insight that bridges the knowledge gap, and informed response.

Entry Requirements

A very good undergraduate degree (at least a UK 2:1 honours degree, or its international equivalent).

Closing date: applications should be received no later than 31 August 2020 for standard admissions, but later applications may be considered depending on the funds remaining in place.

Funding: full tuition fees for EU/UK students plus for UK students, an enhanced stipend of £15,285 tax-free per annum for up to 3.5 years. 

How To Apply

Applications should be made online, please select the academic session 2020-21 “PhD Engineering and Environment (Full time)” as the programme. Please enter Blair Thornton under the proposed supervisor.

Applications should include: 

Curriculum Vitae

Two reference letters

Degree Transcripts to date

Apply online:

For further information please contact: 

If you apply for this position please say you saw it on Engineeroxy


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