51 machine-learning "https:" "https:" "https:" "https:" "https:" positions at University of Sheffield
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; Communicating Data; Data Translation; Data Modelling; Databases and Beyond; Practical Programming for Data Science; and User Centred Design and Human Computer Interaction You will also carry out supervision of UG
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, advanced statistical methods and the potential to develop pioneering reconstruction and calibration techniques involving machine learning. The PhD will prepare equally well for a career in industry and
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, brain-inspired computation. Supervisor Bio Professor Eleni Vasilaki is a computational neuroscientist who has spent years building bridges between biological learning theory and machine learning. Her most
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“An improved machining temperature prediction model for aerospace alloys: Effect of cutting edge radius and tool wear”, Journal of Manufacturing Processes 133 (2025) 1100–1110. https://doi.org/10.1016/j.jmapro
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environment and the generation of microstructure-based crystal plasticity models of additive manufacturing. Develop machine learning (ML) models to accelerate virtual material testing and verification. Generate
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the Ice Sheet and Sea Level System Model (ISSM). and/or The development of automated (e.g., machine learning) approaches for mapping glacier-surface morphologies on Mars. You will join a cutting-edge
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. This PhD project will build directly on this work by using ideas from machine learning—originally developed to study the movement of larger organisms—to understand how bacteria process information in
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to achieve a sustainable wind farm lifecycle by developing methods for high-value reuse of composite turbine blades. Machine learning and non-destructive evaluation techniques will be developed to efficiently
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with core data analysis and professional skills that are necessary for bioscience research and related non-academic careers. https://www.yorkshirebiosciencedtp.ac.uk Project Description: Are you
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experiments and cognitive modelling. You will focus on machine learning, but will be involved in all areas. There are also spinout opportunities. For details: PhD information sheet The team have wide experience