9 research analyst jobs found

This 3.5-year PhD studentship is open to Home (UK) applicants. The successful candidate will receive an annual tax-free stipend set at the UKRI rate (£20,780 for 2025/26; subject to annual uplift), and tuition fees will be paid. We expect the stipend to increase each year. The start date is January 2026. We recommend that you apply early as the advert will be removed once the position has been filled. This fully funded PhD explores AI-native and sensing-aware wireless systems where communications and sensing are co-designed end-to-end. You will unify modern machine learning, statistical signal processing, or optimisation to turn heterogeneous knowledge (channel/network state, maps and topology, mobility, hardware constraints, and task-level KPIs) into reliable and efficient decisions. The work spans theory to lightweight on-hardware prototypes, with publications targeted at leading IEEE venues in communications and signal processing, and relevant AI venues. Indicative directions...

Position Overview Discipline: EngineeringLocation: London, Devon House (St Katherines Dock) Term: 2 years, fixed term, full-time Direct Reports: n/a Reports to: Professor Osvaldo Simeone Benefits: The university supports staff maintaining a good work-life balance, offering: (i) flexible working and parental leave opportunities; (ii) an employee assistance programme which provides free, confidential advice on both home and work concerns, as well as optional private medical insurance; (iii) season ticket loans; and (iv) being part of the cycle-to-work scheme. Start: October 2026 The Role Northeastern University London invites applications for three Post-Doctoral Research Associates in Reliable Neuromorphic, Classical, and Quantum AI to work with Professor Osvaldo Simeone. The successful candidates will join an ambitious research programme aimed at developing theoretically principled and statistically reliable frameworks for next-generation AI, spanning classical, neuromorphic, and...

Research theme: Nuclear Engineering How to apply: uom.link/pgr-apply-2425 This 3.5-year PhD project is fully funded; home students are eligible to apply. The successful candidate will receive an annual tax-free stipend set at the UKRI rate (£20,780 for 2025/26) and tuition fees will be paid. We expect the stipend to increase each year. The start date is October 2026. We recommend that you apply early as the advert may be removed before the deadline. High-temperature gas-cooled reactors (HTGRs) are of significant interest to the UK due to their ability to deliver high-temperature, low-carbon energy for applications beyond electricity generation, and building on the UK’s extensive experience of gas-cooled reactor operation. HMG has selected the High Temperature Gas-cooled Reactor (HTGR) as the most credible Advanced Modular Reactor (AMR) technology. Achieving improved performance requires accurate, high-fidelity modelling to reliably predict power distributions and ensure fuel...

Application deadline: 31/05/2026 Research theme: Nuclear Engineering How to apply: uom.link/pgr-apply-2425 This 3.5-year PhD project is fully funded; home students are eligible to apply. The successful candidate will receive an annual tax-free stipend set at the UKRI rate (£20,780 for 2025/26) and tuition fees will be paid. We expect the stipend to increase each year. The start date is October 2026. We recommend that you apply early as the advert may be removed before the deadline. High-temperature gas-cooled reactors (HTGRs) are of significant interest to the UK due to their ability to deliver high-temperature, low-carbon energy for applications beyond electricity generation, and building on the UK’s extensive experience of gas-cooled reactor operation. HMG has selected the High Temperature Gas-cooled Reactor (HTGR) as the most credible Advanced Modular Reactor (AMR) technology. Achieving improved performance requires accurate, high-fidelity modelling to reliably predict power...

About the role This post of Research Assistant (pre-doctoral) or Research Associate (post-doctoral) is to conduct world-leading research on Leveraging Ontological Knowledge with Argumentative Agentic AI to Accelerate Chemical Development  under the direction of Prof Francesca Toni, in collaboration with Prof Alexei Lapkin from the University of Cambridge, Dr Antonio Rago from King’s College London, and industrial collaborators, within the AIChemy Hub (https://aichemy.ac.uk/). The successful candidate will focus on developing an advanced argumentative agentic AI approach for chemical development settings based on reinforcement learning but able to shape rewards with the help of ontological knowledge of chemical process development (by the group of Prof. Lapkin based in Cambridge and in Singapore) as well as expert knowledge from humans and from other agents. The approach will be based on and will develop techniques from computational argumentation combined with reinforcement...

Contract Type: Fixed Term 28 months The University of Derby’s engagement with global industries based in the Derby region helps ensure that our research and teaching are at the forefront of emerging industry needs and opportunities. Our links with companies in our region including Bloc Digital, Rolls-Royce and Alstom, also mean our students benefit from placement years and live briefs.   About Richard Lang & Son Ltd  Founded in 1949, Richard Lang & Son Ltd is a third-generation, family-owned giftware importer and wholesaler based in Derby, supplying independent retailers and national chains across the UK, with expansion into Europe underway. As a heritage business undergoing significant digital and operational transformation, the company has invested heavily in warehouse modernisation, systems integration, automation, and enterprise data infrastructure. The ambition is to architect and deploy scalable, production-ready AI and digital twin systems that transform sales...

Location: Based predominantly at SSEN in Thatcham Contract Type: Fixed Term (30 months) This exciting Knowledge Transfer Partnership (KTP) project will develop a novel AI‑enabled system to automatically detect low‑voltage services and conductors from image data, using advanced machine learning models to infer the location of hidden or obscured conductors. You will work within SSEN’s core asset data team, collaborating to develop tools and techniques to deliver a user‑friendly mapping solution. What you will gain Develop and apply advanced AI and machine learning methods to complex, large‑scale data to solve real‑world infrastructure challenges Gain hands‑on experience working across multidisciplinary teams in a large utility company serving 3.9 million customers Access a personal development and training budget of £2,000 per year Work closely with world‑leading researchers at Aston University, gaining valuable industrial experience and mentorship Contribute to a high‑impact project...

About the role We are seeking a Research Assistant or Research Associate to work on new approaches to energy-efficient artificial intelligence based on temporal neural computation. The project will investigate how spiking neural networks, temporal coding and learned neural delays can enable accurate computation with extremely low-precision weights, potentially supporting a new generation of ultra-efficient AI hardware. Working at the intersection of machine learning, computational neuroscience and digital hardware design, the successful candidate will help develop neural architectures in which time becomes a key computational resource. The project combines algorithm development, hardware-aware modelling and evaluation on FPGA-based platforms. This is an opportunity to contribute to fundamental research in neuromorphic and energy-efficient AI while developing techniques relevant to future AI accelerators and edge-AI technologies. The role will be affiliated with NeuroWare, the new...

Funding provider: Northeastern University London (NU London) Project start date: September 2026 Supervisors (*lead): Giovanni Petri* (Network Science Institute, Northeastern University London) Zhongtian Sun (School of Computing, University of Kent) Aligned programme of study: PhD in Network Science Northeastern University London As part of a major investment, Northeastern University London (NU London) has multiple, fully-funded PhD studentships available to accelerate its interdisciplinary research in the humanities, social sciences and digital sciences. Each scholarship is fully-funded for three and a half years (UKRI rates) and includes fees, an annual stipend, an additional London allowance and associated costs, such as training. NU London is both a UK university governed by UK higher education regulations, and the European campus of Northeastern University – a large, top-tier research intensive, Boston based institution. Founded in 1898, Northeastern received $230.7m of...