Location: | Lincoln |
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Salary: | £27,344 pro rata |
Hours: | Part Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 24th February 2025 |
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Closes: | 9th March 2025 |
Job Ref: | CHS196 |
Salary: From £27,344 pro rata
Please note, this post is fixed-term for 7 months and part-time at 14.8 hours per week.
Closing Date: Sunday 09 March 2025
Interview Date: Thursday 20 March 2025
We are delighted to be recruiting a Project Researcher in Robot Learning from Human Interactions as part of the EPSRC UK-RAS project, "Principles of Learning from Unstructured Human-Robot Interactions". You will join a team of researchers from the Universities of Lincoln and Nottingham to contribute to developing the next generation of intelligent machines that can learn from human interactions.
In this role, you'll be involved in the research process, working closely with a team of experts to explore the principles of robot learning from unstructured human-robot interactions. You'll apply data analysis techniques, implement and evaluate cutting-edge robot learning algorithms (including Learning from Demonstration and Reinforcement Learning), and contribute to the deployment and testing of solutions on actual robot systems. You'll also play a vital role in collaborating with researchers across institutions and contributing to the wider research community through seminars, conferences, and publications. It's a chance to apply your skills, expand your knowledge, and make a real impact in a field that's shaping the future of technology.
We're seeking a talented and enthusiastic individual with an MSc (or current enrolment in an MSc program) in a relevant field. You will possess a strong foundation in Machine Learning, AI, and Data Processing/Analysis, you're a skilled coder with experience in C++/Python and preferably the ROS robotics framework. Most importantly, you're a team player with excellent communication skills, ready to contribute to a collaborative and innovative research environment.
If you are looking to gain practical experience in the field of ML/AI, Robotics and Human-Robot Interaction, this is an excellent opportunity to work alongside an ambitious team working on real-world solutions to shape the future of service robotics.
For informal inquiries about this exciting opportunity, please contact Dr Francesco Del Duchetto, Lecturer in Robotics and Autonomous Systems, at fdelduchetto@lincoln.ac.uk.
Further details:
You can find out more about working at Lincoln, and everything that we have to offer, at: https://www.lincoln.ac.uk/jobopportunities/
We strive for a diverse workforce with the very best employees and are committed to creating an inclusive environment for all. The University encourages applications from underrepresented groups inclusive of Black, Asian and other minoritised/marginalised ethnic groups, all gender identities and expressions from the LGBTQIA+ community, candidates with a disability, and those that practise different faiths and beliefs, to enhance our One Community where we strive to be kind, patient, and supportive of each other.
Please note: If you think you may require a visa to work in the UK, please refer to UK Visas and Immigration or UK Visas – Information for Prospective Staff before embarking upon an application, to ensure that you understand the requirements for sponsorship. You may be eligible to work in the UK via other alternative visa routes such as the Global Talent Visa or by having Settlement / ILR; please refer to the UK Visas pages above for further details.
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