Location: | Huddersfield |
---|---|
Salary: | £38,560 to £43,374 |
Hours: | Full Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 21st August 2024 |
---|---|
Closes: | 4th September 2024 |
Job Ref: | R7600 |
School of Computing & Engineering
£38,560 - £43,374 per annum
Fixed term for 12 months
37 hours per week
This in an exciting opportunity to work with Tierra Foods and the School of Computing and Engineering at the University of Huddersfield as a Research Fellow in Applied Artificial Intelligence to lead the delivery of a pioneering Monitoring, Reporting and Verification methodology for biomineralisation-centric food systems using Artificial Intelligence. This innovative collaboration is funded by Innovate UK and the Department for Environment, Food & Rural Affairs (Defra) through the Environmental Monitoring Innovation programme.
The School of Computing and Engineering is a research-intensive environment where academics and researchers are developing tomorrow’s technologies, with a strong focus in Artificial Intelligence and Cyber Security.
You will join the Centre for Autonomous and Intelligent Systems which has a track record in publishing at leading international venues for Artificial Intelligence and its applicants and securing funding for research and knowledge exchange projects. The Centre is led by Prof. Mauro Vallati who has been awarded a prestigious Future Leaders Fellowship by UK Research and Innovation.
We’ll support your ambitions and help you develop as an academic. We’ll provide opportunities for you to grow your career and become the best version of yourself.
You will lead the development of a pioneering AI-driven approach for biomineralisation-centric food systems to monitor, report and verify carbon sequestration. You will have the opportunity to apply a range of AI methodologies and explore applications related to sustainability and net zero, which have attracted significant interest due to their role in securing our planet’s future.
With a Doctoral Qualification in Artificial Intelligence, Computer Science or a related discipline, you will have substantial practical experience in problem solving and strong programming skills and be able to lead the design and development of solutions to meet the project objectives. You will be able to demonstrate your theoretical knowledge of Artificial Intelligence concepts and your experience in applying Artificial Intelligence methodologies, ranging from machine learning and deep learning to knowledge graphs.
You will also have a track record of research outputs in Artificial Intelligence that evidence your commitment to research excellence and have the ability to prepare research proposals and funding bids and to teach and supervise students.
You will want to accelerate your personal and career growth by immersing yourself in a stimulating environment. You’ll be looking to develop your skills and experience working alongside ambitious academics, researchers and industrial partners, demonstrating your drive to achieve excellence.
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 Gold Award holder and Top 100 Employer, Athena SWAN Bronze Award holder and Race Equality Charter Bronze Award holder.
Should you wish to have an informal discussion about this post, please contact Dr George Bargiannis via e-mail: g.bargiannis@hud.ac.uk
For further details about this post and to make an application please select the apply button shown.
Closing date: 04 September 2024
Working for Equal Opportunities.
Inspiring Global Professionals.
Type / Role:
Subject Area(s):
Location(s):