Research Fellow

University of Southampton
February 20, 2024
Offerd Salary:£34,980 to £42,978
Working address:N/A
Contract Type:Fixed Term for 24 mo
Working Time:Full time
Working type:N/A
Ref info:N/A
Research Fellow (AI for Transportation) Agents, Interaction & Complexity

Location: Highfield Campus Salary: £34,980 to £42,978 per annum Full Time Fixed Term for 24 months Closing Date: Tuesday 20 February 2024 Interview Date: To be confirmed Reference: 2582424FP

You will work on an exciting project on Future Electric Vehicle Energy networks supporting Renewables (FEVER). This 5-year interdisciplinary EPSRC- funded programme grant will develop and demonstrate fully grid-independent, renewables-powered electric vehicle (EV) charging stations.

Your role within this project will be to develop novel digital technologies, such as machine learning, decision-making algorithms and other artificial intelligence (AI) techniques, to realise the FEVER vision. For example, you might work on smart charging algorithms that balance charging demand and supply dynamically, based on current and predicted generation of renewable energy.

You will also support the implementation of a FEVER demonstrator, contributing work on the communications infrastructure that will allow us to monitor and remotely control a proof-of-concept charging station. Furthermore, you will have the opportunity to work on an app that EV drivers can use to interact with our demonstrator.

As part of the FEVER project team, you will work with highly interdisciplinary colleagues from computer science, engineering, economics and psychology. Furthermore, you will interact with our industrial stakeholders to help ensure real-world impact. You will also collaborate directly with the Citizen-Centric AI Systems team.

To be successful you will have (or are within 6 months of completing) a PhD (or professional qualifications and experience) in computer science, AI or a relevant topic related to energy systems or transportation. You have the ability to publish and present your work at top international venues, and you need to have programming experience. Ideally, you would have experience programming embedded or IoT devices, especially if this is related to EV charging. Knowledge of relevant protocols / packages, such as CCS, OCPP, OpenEVSE or EVerest, is desirable.

Applications will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification. The title of Research Fellow will be applied upon completion of PhD. Prior to the qualification being awarded the title of Senior Research Assistant will be given.

This role will be offered on a full-time, fixed-term basis for 24 months.

About Us

You will join the Agents, Interaction and Complexity group within the School of Electronics and Computer Science (ECS). We are one of the world's leading groups in multi-agent systems, and you will benefit from our significant networks. For example, we lead Responsible AI UK, the UKRI TAS Hub, we are part of the Alan Turing Institute, and we run the MINDS and SustAI CDTs. These networks will provide you with a valuable opportunity to work with collaborators from a wide range of backgrounds.

We highly value diversity in our teams, and we particularly encourage women, Black, Asian and minority ethnic (BAME), LGBT+ and disabled applicants to apply for this position. ECS is committed to Equality, Diversity and Inclusion, and we hold an Athena SWAN Bronze Award. We give full consideration to applicants who wish to work flexibly and those who have taken a career break. The University has a generous maternity policy (subject to qualifying criteria) and onsite childcare facilities.

For informal enquiries, please contact Prof Sebastian Stein ([email protected]).

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Further details:
  • Job Description and Person Specification
  • We are committed to equality, diversity and inclusion and welcome applicants who supports our mission of inclusivity.

    Apply by midnight on the closing date. For assistance contact Recruitment on +44(0)2380 592750 or [email protected] quoting the job number.


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