View All Vacancies

PhD Studentship: Safe nanotechnology-enabled AI

Electronic Materials & Devices Group

Location:  Highfield Campus
Closing Date:  Saturday 31 August 2019
Reference:  1163319PN

Supervisor:                Dr Alex Serb

Project description

The Electronic Materials and Devices Research Group at the University of Southampton is a dynamic interdisciplinary team delivering novel solutions for advanced sensory systems, energy technologies and unconventional computing architectures. Our group encompasses diverse expertise ranging from materials process development to electronic devices, circuits and systems. This knowledge combined with our state-of-art facilities and strong collaborations with industry enables us to off­er unique solutions to real-world problems.

Our vision is to disrupt current ways of thinking, transforming our society through emerging nanotechnologies, such as: nano/bio-sensors, safe and efficient nano-batteries and novel Hardware for AI. To realise this vision, we are seeking exceptional candidates to join our team, interested in devoting their passion for addressing some of the challenges we have identified.

This particular studentship will take a broad view of the entire field of AI from physical implementation all the way to behaving and even multi-agent systems (multiple AI systems interacting with each other). The factors contributing to loss of trust in AI systems (the uncertainty factors) will be investigated. The project will not stop at current best practice but investigate the projected developments that are expected to revolutionise the field over the next decade or more and reveal how they will contribute to the issue of trust in AI. We welcome applications from candidates with a background in computation, electronics, machine learning and/or mathematics.

Entry Requirements

We welcome applications from future experts who have, or expect to shortly have, a very good undergraduate degree (at least a UK 2:1 honours degree, or its international equivalent), in computer science, electronics, or other closely related subject such as mathematics or physics.

Closing date: applications should be received no later than 31 August 2019 for standard admissions, but later applications may be considered depending on the funds remaining in place.

Funding

We accept applications from those who wish to receive a funded scholarship, those who already have a funded scholarship from another source, or self-funded applicants (proof of funds will be required).

Funding: full tuition plus, for UK students, an enhanced stipend of £18,000 tax-free per annum for up to 3.5 years. www.orc.southampton.ac.uk/phd_funding.html 

How To Apply

Candidates should apply as soon as possible to be considered for a place for September 2019 entry. All shortlisted applicants will be invited for interview at the University of Southampton. Note that if, due to your personal circumstances, you are unable to attend for interview in person, please get in touch.

Applications should be made online here selecting “PhD ORC (Full time)” as the programme. Please enter Electronic Materials and Devices/Safe nanotechnology-enabled AI under the Topic or Field of Research.

Applications should include: 

Your Curriculum Vitae

Two reference letters

Degree Transcripts to date

Applying: https://www.southampton.ac.uk/courses/how-to-apply/postgraduate-applications.page

Please contact Dr Alex Serb (a.serb@soton.ac.uk). 

Email details to a friend
Login to your account

Login

Forgotten your password?

Register for an account

Mindful Employer Disability Confident Leader HR Excellence In Research Stonewall Diversity Champion Athena Swan Silver Award - University of Southampton Committed to being an Inclusive Employer