New Digital Transformation PhD Studentships at UEA Starting 1 October 2023

The School of Computing Sciences at UEA is seeking to recruit a new cohort of eight full-time PhD students to contribute to our existing Research Groups. 

The studentships will be three years in duration and due to funding timeline constraints, applications are open to UK applicants only who have the appropriate right to work in the UK. 

We want to develop the thought leaders of the future who will contribute new insights and innovations across a range of high impact areas of research where Digital Technologies have a key role to play. 

We are seeking applications from candidates who have the ability to work independently and have the agile and interdisciplinary thinking necessary to conduct research of the highest quality. The projects cover a wide range of topics and will engage with world-leading research institutes, scientists and industry where appropriate. 

Commencing in October 2023, we will recruit eight doctoral researchers who will train within the School of Computing Sciences interdisciplinary community. Studentships will provide funding including a maintenance stipend (the 2022/23 rate was £17,668 per annum), tuition fees and a research and training grant.  

Researchers will also be expected to contribute to Tutor activities for laboratory support on our MSc Courses in Data Science, Computing Sciences and Cyber Security commensurate with their core expertise, within the working hours permitted for full-time Postgraduate Researchers. 

(i) Application deadline date: Monday 19 June 2023
(ii) How to apply – Apply for a Postgraduate Research Programme
(iii) Funding Conditions:

Note.  Due to funding timeline constraints, applications are open to UK applicants only who also have the appropriate right to work in the UK when they apply to comply with visa regulations and to allow a start of 1 October 2023.

The available PhD Projects for this competition are:

• Automation of Home Spirometry Systems (AUNGH_U23CMP). (Dr H Aung)
• Reading Between the Lines: Using NLP to understand online ideologies (BUCKLEYO_U23CMP). (Dr O Buckley)
• Interactive docking of flexible molecules in VR (HAYWARDS_U23CMP). (Dr S Hayward)
• Algorithms to help make Darwin's dream a reality (HUBERK_U23CMP). (Dr K. Huber)
• Subject-specific dynamic simulation of childbirth on the GPU (LAPEERR_U23CMP). (Dr R. Lapeer)
• Improving diagnosis in dementia through analysing of longitudinal brain scans (MACKIEWICZM_U23CMP). (Dr M. Mackiewicz)
• Developing machine learning methods to improve seabed mapping (MILNERB_U23CMP). (Dr B. Milner)
• Computational identification of genomic threats pathogenetic bacteria using machine learning (MOULTONV_U23CMP). (Prof. V. Moulton)
• Network meta-analysis of diagnostic test accuracy studies via factor copula mixed models (NIKOLOULOPOULA_U23CMP). (Dr A. K. Nikoloulopoulos)
• GPS/RTK Localization-based Agri-Robot for Precision Agri-tasks in Crop Fields (RENE_U23CMP). (Dr E. Ren)
• Assessing the extinction risk and recovery potential of species with Deep Learning (WUT_U23CMP). (Dr T. Wu)

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