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. The successful candidate will have a PhD in Computer Science or equivalent with experience in cyber security or distributed systems. The School of Computing and Communications at Lancaster University offers a
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in a relevant area would be desirable but is not essential for the position. The postholder will be based in Lancaster University’s School of Computing and Communications, working closely with
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structure, function, and benefits to people. This specific position will focus on how biodiversity-ecosystem function relationships and ecosystem recovery potential are influenced by seabird nutrient inputs
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applying AI to complex real-world problems. You should have a PhD in computer vision, machine learning, AI or a related discipline, with practical experience developing and applying deep learning approaches
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-mentoring of PhD students. You are encouraged to think through their own ideas about the role of seabird nutrients on food web rewiring and how their area of expertise could be applied to this study. You will
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for the selection, follow-up and analysis of supernovae and their host galaxies are also desirable. The position(s) are funded for 4 years with a budget for travel and computing. Start dates are expected to range
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join the BEACON programme and lead field experiments and mechanistic modelling investigating how disturbance disrupts reef fish behaviour and ecosystem function. Salary: Grade 7. Location: Lancaster
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School of Computing and Communications Location: Bailrigg, Lancaster, UK Salary: £48,822 to £59,966 full time, fixed term Closing Date: Friday 31 July 2026 Interview Date: To be confirmed Reference
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Position Description The School of Mathematical Sciences at Lancaster University is seeking to appoint a Senior Research Associate (SRA) to work within ‘MARS: Mathematics for AI in Real-world
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utility-function-based experimental design methods to identify the computer simulations and observational surveys that maximise information about future sea level for a given computational cost. Work