13 machine-learning-phd "The University of Manchester " positions in United Kingdom

PhD in Rock Mechancis and Geotechnical Engineering

18 Apr 2024 Job Information Organisation/Company The University of Manchester Department School of Engineering Research Field Engineering » Civil engineering Engineering » Geological engineering

PhD Studentships: Connections between Numerical Analysis of Differential Equations and Machine Learning

the Universities of Manchester, Lancaster, Edinburgh, Cambridge, Bristol and Warwick on the Mathematical and Computational Foundations of AI. Machine learning (ML) and AI methods are becoming increasingly popular as

PhD Studentship - Using Natural Language Processing and Molecular Simulations to Build Polymer Databases

of Manchester from October 2024. The use of machine learning methods and molecular simulations for polymer design and property prediction is the new frontier in polymer science. This project aims at using a mix

PhD Studentship: Multi-fidelity systems-level simulations for nuclear thermal hydraulics

to enforce consistency with the resolved CFD (averaged to the systems code resolution). The identification of regions where the CFD grid is resolved can initially be done manually. With machine learning

Research Fellow in Efficient Machine Learning Systems

” project’s ambitious objectives. You will work with Dr Jagmohan Chauhan and Dr Alex Weddell in ECS in collaboration with teams at the University of Cambridge,  University of Manchester,  Turing Institute, and

PhD Studentship: Development of a Visuo-Haptic Recognition System to Enhance Robotic Perception in Cluttered Environments

to the long-term goal of nuclear decommissioning at RAICo1, Dalton Cumbria and The University of Manchester. During nuclear decommissioning, operators face severe risks from unknown environment to dealing with

PhD Studentship: Developing a machine learning based approach to 2D and 3D hydride characterisation in zirconium alloys

This 4 year PhD project is funded by EPSRC (funding from Materials 4.0 CDT and Rolls-Royce Submarines). The funding is for UK students only; tuition fees will be covered and you will received a

Principal Bioinformatician

, fragmentomics) using computational statistics and machine learning/AI approaches. This work will require collaboration across a wide range of studies involving early detection of cancer, monitoring of treatment

Research Associate (DMWL)

), entitled ‘Doing more with less: digital twinning of Ti forgings’. This project is a collaboration between the University of Manchester, the University of Strathclyde and the Turing Institute. The role will

Research Associate in Efficient Machine Learning Systems for Earth Observation (Fixed Term)

PhD in a relevant subject area. Excellent knowledge of machine learning and experience of applying machine learning techniques is expected. Familiarity with efficient ML techniques, edge AI hardware