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                2 Fully Funded PhD Candidate positions in GENIUS MSCA Doctoral Network hosted at University of Derby30 Oct 2025 Job Information Organisation/Company University of Derby Research Field Engineering » Civil engineering Engineering » Geological engineering Researcher Profile First Stage Researcher (R1 
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                AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhDlife. It also provides valuable skills in AI, materials testing, and data analysis. In addition to its technical innovation, this project offers a range of unique personal and professional development 
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                -equilibrium conditions. The project is a UKRI/NSF collaboration with Virginia Tech, and the use of direct numerical simulation, modelling and analysis will be complemented with experimental data from 
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                . 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 studying bumblebee behaviour 
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                they are effective in this population of CYP and their families. The project is likely to include conducting systematic reviews, secondary data analysis of social care data and obtaining access and analysing data held 
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                physics through to applications, and the student will develop skills in electromagnetic simulation, nanofabrication within a state-of-the-art cleanroom, experimental optical systems and data analysis 
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                . Experience with EEG, fNIRS, or behavioural experiments. Programming and data-analysis skills (e.g., MATLAB, Python, R). Funding: This position is funded by the EU-funded HUM.AI.N-ACCENT Marie Skłodowska-Curie 
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                research. You will be responsible for designing and implementing proteomic data analysis, with opportunities to apply your skills to integrating this with other data types (e.g. genomic and transcriptomic 
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                Data-driven predictions of dynamical systems are used in many applications, ranging from the design of products and materials to weather and climate predictions. Mathematical concepts from geometry 
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                hands-on and applied, with modules such as: Applied Nanoscience, an introductory module covering core topics in Nanoscience research, experimental skills and data analysis through lab practicals; Systems