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prototyping with access to Lancaster's high-performance computing facilities. Essential Requirements • PhD in Machine Learning, Computer Science, Computational Neuroscience, or related field
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: 0828-25 Lecturer in Technology Enhanced Learning in the School of Social Sciences, Lancaster University (Temporary one-year post). The School of Social Sciences seeks to appoint a full-time Lecturer in
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Sociology Location: Bailrigg, Lancaster, UK Salary: £39,906 to £48,882 Part time-Fixed Term Closing Date: Sunday 05 October 2025 Interview Date: To be confirmed Reference: 0691-25 The learning
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: 0832-25 This is a full-time (1 FTE) position. We are seeking to appoint a Learning Developer to join our well-established team at Lancaster University. The successful candidate will be responsible
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experience of machine learning, multiwavelength imaging and data analysis are encouraged to apply. Prospective candidates are encouraged to contact Dr John Stott (j.p.stott@lancaster.ac.uk ) for further
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revision techniques, and participating in teaching reviews and quality assurance processes. We are particularly looking for candidates who are passionate about creating an outstanding lab-based learning
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bringing together observations and global atmospheric models using innovative statistical and machine-learning approaches. It will provide the first clear attribution of how different physical, chemical and
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a PhD in mathematics or a related discipline and be able to demonstrate previous research experience in using mathematical machine learning and AI methods, or applied mathematics, to solve challenging
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bringing together observations and global atmospheric models using innovative statistical and machine-learning approaches. It will provide the first clear attribution of how different physical, chemical and
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. The role will focus on delivering high-quality teaching across core computer science undergraduate modules including Human Computer Interaction (HCI). Background skills in Software Engineering and/or