Research Assistant/Associate in IoT and Digital Twins

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Part time
Location: Loughborough
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Job offered by: Loughborough University
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Category:
The job requirements are detailed below. Where applicable the skills, qualifications and memberships required for this job have also been included. The University is dedicated to supporting an equitable, diverse, and inclusive environment – to create better futures, together. The diverse backgrounds, characteristics and opinions within our community are our great strength and are key to our pursuit of delivering educational excellence, enterprise, research and professional services. We welcome applications from people from diverse backgrounds and minoritized groups as they are currently under-represented within our community. We recognise the value of a fulfilling and balanced work and personal life which promotes wellbeing. We seek to support colleagues in achieving this balance and have family-friendly policies, flexible working arrangements and many roles can be suitable for dynamic working arrangement. This includes considering applications to work on a part-time, flexible and job share basis wherever possible. Loughborough University is a UKVI Sponsor. Some individuals may require sponsorship to enable them to apply for a visa to provide them with the right to work in the UK. Please note certain roles are not eligible for sponsorship. For further information and eligibility please visit the UKVI website. Job details

Job title: Research Assistant/Associate in IoT and Digital Twins Job reference: REQ250007 Date posted: 07/01/2025 Application closing date: 09/02/2025 Location: Loughborough Package: SSA Grade 5 or 6 (£28,879 - £33,882 or £34,866 - £45,163 per annum) School of Science The Department of Computer Science at Loughborough University is seeking to appoint a Research Associate (SSA Grade 6) or Research Assistant (SSA Grade 5) to work on an Innovate UK funded project on the Internet of Digital Twin Things (IoDT^2). The IoDT^2 project aims to research and develop a novel digital twin framework. This framework will allow for the easy sharing of models and data across networks, and computation resources can dynamically be formed to execute simulations. The successful candidate will collaborate with Dr. Posco Tso, his team, and industry partners to develop a novel distributed digital twin framework. They will have skills in distributed artificial intelligence (AI), machine learning (ML), and digital twin, and strong knowledge in computer networking. They will also have experience in publishing in competitive venues. The position is currently funded for 23 months for Research Associate or 24 months for Research Assistant, with possibility of extension up to 14 months. The Research Associate will be based in the internationally renowned Department of Computer Science at Loughborough University, UK. Founded in 1974, the Department of Computer Science is one of the most well-established university computing departments in the UK with a long track record of developing skilled and highly employable graduates, as well as a reputation for cutting edge research and industry engagement. The university ranked 7th in the UK (National Complete University Guide Rankings 2023) and 212th in the World (QS World University Rankings 2024). In the REF 2021, the department ranked in position 32 out of 90 UK universities, and 91% of Loughborough's research was classed as world-leading or internationally excellent. Informal enquiries should be made to Dr Posco Tso by email at p.tso@lboro.ac.uk. For more information refer to the

Job Description and Person Specification.

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