|Salary:||£38,560 to £43,374|
|Placed On:||16th November 2023|
|Closes:||7th December 2023|
£38,560 - £43,374 per annum
Fixed term for 2 years
37 hours per week
We have an exciting opportunity for a Research Fellow to join the AI4UTMC research team (ai4utmc.info) within the School of Computing & Engineering, a large, research-intensive School, at the University of Huddersfield.
The School aims to build upon its success in the Research Excellence Framework (REF2021) by investing in its facilities and staff across its broad range of engineering and computing disciplines.
As part of this, the AI4UTMC research team (ai4utmc.info) is seeking to appoint a dedicated individual to work within the scope of the project “AI4ProTraffiC: AI for Proactive Traffic Control”, on the design of AI-based approaches for supporting innovative intelligent urban traffic management and control systems. The research team has great expertise in the field of intelligent traffic control and mobility, and excellent connections with industry and traffic authorities.
The work will entail the design and developments of AI-based techniques, and the experimental evaluation on real-world data provided by project partners. You will help review the available literature, design and develop techniques, collect and analyse data, and generate academic outputs.
With a Doctoral qualification in AI or a closely related area, you will have an interest in AI and machine learning applications, and an enquiring and creative approach to challenges. The work will also involve collaborations with industrial partners, so good communication skills will be essential and previous experience of liaising with industry will be an asset.
The AI4UTMC research team is part of the research Centre on Autonomous and Intelligent Systems (CAIS), which is currently working on a variety of topics involving the design and use of AI techniques, for instance in robotics, healthcare, logistics, and supply chain optimisation. It provides the ideal environment for a researcher interested in the positive impact that AI can have on our society.
The University is deeply committed to equality and diversity for all its students and staff. We seek to be diverse and inclusive, supporting individuals and groups to fulfil their potential and nurture a sense of belonging. We strive to be an accessible, inclusive employer, removing barriers for all. Find out more about our approach to Equality, Diversity and Inclusion, including our commitments and accreditations as a Disability Confident Employer, Stonewall Top 100 Employer, Athena SWAN Bronze Award holder and our membership of the Race Equality Charter.
Informal enquiries are welcome to Mauro Vallati via email: firstname.lastname@example.org
For further details about this post, and to make application, please select the apply button shown.
Closing date: 07 December 2023
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