93 assistant-professor-computer-science "https:" "https:" "https:" "https:" "https:" positions at Lancaster University in United Kingdom
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. PHIRST LiLaC is one of ten PHIRSTs and is a collaboration between universities of Liverpool and Lancaster, led by Professor Ben Barr and Dr Emma Halliday. In this role, you will largely be responsible
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and Pharmaceutical Science to over 600 undergraduate students, and a post-graduate programme in Biomedicine. We have a significant population of MSc and PhD research students. You will have a strong
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Faculty of Science & Technology Location: Bailrigg, Lancaster, UK Salary: Senior Salary (Full time, fixed term) Closing Date: Wednesday 18 February 2026 Interview Date: Monday 23 March 2026
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Reference: 0011-26 Lancaster University is delivering a major Curriculum Transformation Programme to reshape how education is designed, delivered and managed across the institution. This is a full-time fixed
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to support their management and conservation. The fundraiser role will work closely with project lead, Professor Carly Stevens, to identify potential funding sources to support the research, engagement
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Reference: 0543-25-R Lancaster University is delivering a major Curriculum Transformation Programme to reshape how education is designed, delivered and managed across the institution. This is a fixed term
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School of Mathematical Sciences Location: Bailrigg, Lancaster, UK Salary: £39,906 to £46,049 (Full time, indefinite with end date) Closing Date: Sunday 04 January 2026 Interview Date: Monday 09
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Reference: 0984-25 The School of Computing & Communications (SCC) wishes to appoint a Teaching Associate to assist with delivery and ongoing improvement of lab-based modules on our undergraduate and
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the opportunity to help deliver a truly world-class education experience in computer science and cyber-security. You should be able to demonstrate a strong computer science background and excellence in lab-based
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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