05 Postdoctoral Fellowship at University of Surrey, England

Applications are invited for a Research Fellow (RF) position within the Centre for Vision Speech and Signal Processing (CVSSP) and the Surrey Institute for People-Centred AI, at the University of Surrey, UK, to work in the area of generative AI for audio generation.

This post funded by the AI Hub in Generative Models- http://www.genai.ac.uk/ . The Gen AI Hub brings together experts in Generative AI, from industry and academia, to make Generative AI models more customisable, reliable and trustworthy, and to help to realise the benefits of these technologies for society, science and the economy. 

The postholder will be responsible for undertaking research in generative AI and machine learning methods for audio generation and audio-related multimodal content generation, including audio generation for environmental sounds, using approaches such as diffusion models and/or flow matching.

We are seeking a Postdoctoral Research Fellow for a (up-to) 3-year position to work on an exciting project funded by the Medical Research Council and led by Dr Bingxin Lu.   

This project aims to reconstruct the evolutionary dynamics of chromosomal instability in cancer genomes.  Understanding how chromosomal instability evolves during the progression from precancerous lesions to malignancy, metastasis, and treatment resistance is important for cancer detection and treatment. Building upon our previously published method, CNETML (https://doi.org/10.1186/s13059-023-02983-0), this project will develop more realistic evolutionary models of copy number alterations and better phylogenetic inference methods with wider applicability. The developed methods will then be applied to extensive publicly available datasets to investigate the dynamics of chromosomal instability. Our new methods will enhance the toolkit for cancer researchers and drive broader applications of cancer phylogenetic inference. The insights gained from the inferences will also support personalized therapy and advance public health efforts.

The successful candidate will not only design and conduct the research but also write and communicate results as scientific papers and in scientific presentations at national and international conferences. 

The Surrey Institute for People-Centred AI (PAI) is a core partner leading AI research and development for the new CoSTAR National Lab for R&D in Creative Technology. The CoSTAR National Lab, led by Royal Holloway, University of London, is a £51m investment by the UK Government in applied research to ensure that the UK’s screen and performance industries have the research infrastructure and innovation skills to compete globally.

The aim of CoSTAR is to put the UK at the forefront of applied research in advanced technologies for the creative sector. PAI will lead the CoSTAR Creative AI research and development to realise the next generation of AI-enabled storytelling experiences and technologies. This builds on Surrey’s track-record of over 35 years of fundamental advances in AI research in computer vision and spatial audio leading to ground-breaking technologies for the creative industries.  

The post will advance knowledge in the use of audio systems for virtual production and contribute to both research publication and novel demonstration of creative technology as part of the CoSTAR National Lab.  The post will initially be offered for a fixed-term of 3 years, which may be extended for the duration of the partnership. 

This position is based at the Centre for Vision, Speech and Signal Processing (CVSSP) at the University of Surrey, which forms the core foundational AI expertise of PAI. CVSSP is ranked first in the UK for computer vision and recognised worldwide for pioneering new technologies in audio and vision. The centre leads ground-breaking research in audio-visual AI and machine perception for the benefit of people and society through technological innovations in healthcare, security, entertainment, robotics and communications. Over the past three decades, CVSSP has pioneered advances in 3D and 4D computer vision and spatial audio which have enabled award-winning technologies for content production in TV, film, games and immersive entertainment.

The School of Engineering at the University of Surrey is seeking to recruit a full-time Postdoctoral Research Fellow in AI, digitalisation, manufacturing and sustainability analysis to work under the leadership of Prof Jhuma Sadhukhan. This is a fixed term contract up to mid to late 2029. 

The primary objective of this role is to conduct comprehensive research focusing on digital twin creation for advanced manufacturing systems and conduct their techno-economic analysis and life cycle sustainability assessment including life cycle assessment. The role will explore AI for end-to-end integrated 3D polymer material manufacturing from waste resources. 

The successful candidate will study the sustainability of systems and combine it with AI for intelligent decision-support tools. You will develop the above methodologies for plausible bioplastics manufacturing and compare them against conventional systems and conduct their uncertainty analysis. You will create AI models for online optimisation and advanced control of the systems. You will also produce educational training materials on the studies you conduct and publish in high-impact journals. You will develop interactive tools for all the work done for users to evaluate and analyse their systems.

Dr Nalesso’s group is characterising the effect of the inhibition of a new microRNA on cartilage health. Around 10 million people in the UK alone suffer of osteoarthritis, a musculoskeletal condition promoting joint pain and impairing life quality. Currently, no pharmacological treatment other than pain relief or invasive surgical joint replacement procedures are available to treat affected patients. We are looking for a post-doctoral researcher to join our group on an exciting project aimed to shape a new, non invasive therapeutic approach to halt or delay OA progression avoiding the need for surgical intervention.