Senior Lecturer in Mathematics and AI (2 posts)

Lancaster University
May 14, 2024
Offerd Salary:£57,696 to £64,914
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Contract Type:Other
Working Time:Full time
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Senior Lecturer in Mathematics and AI (2 posts)

Mathematics & Statistics Location: Bailrigg, Lancaster UK Salary: £57,696 to £64,914 (Full time, indefinite) Closing Date: Tuesday 14 May 2024 Interview Date: Tuesday 28 May 2024 Reference: 0471-24

The School of Mathematical Sciences at Lancaster University is seeking to appoint 2 Senior Lecturer and 2 Lecturer positions in mathematics and AI as part of a new £15M investment in “MARS: Mathematics for AI in Real-world Systems”. These posts will form an inaugural cadre of high-quality researchers conducting research and teaching at the interface of mathematical modelling and AI. They will focus on the mathematical principles, computer science, and/or implementation underpinning application areas including Health, Environmental Science, Manufacturing Engineering, and Cybersecurity within a new unit aimed at addressing real-world challenges through a mathematical and AI lens.

“MARS: Mathematics for AI in Real-world Systems” is an exciting new £15M investment at Lancaster University, expanding on our excellence in impactful and industrially engaged research. Bringing in 10FTE new academic posts, with associated research staff and PhD students, MARS will revolutionise Lancaster's research capacity in mathematics connecting systems modeling and AI methods, to support its flagship strategies in the applied sciences of Manufacturing, Environmental Science, Health, and Cybersecurity. New undergraduate and postgraduate programmes will accompany this, providing opportunities to address a major skills-gap in the principles underlying AI and their application to real-world systems. These activities will reach out to industry and government partners as regional, national, and global leaders in next-generation mathematics. With E3 funding, MARS will become a unique national capability in the North West, pushing the boundaries of AI-driven modelling to tackle key challenges in the modern world.

You will have, or show clear evidence of developing, a strong track record of excellence in research, teaching and external engagement within a field related to mathematical modelling and/or AI methodology, with an enthusiastic approach to developing scholarship within MARS and the wider School of Mathematical Sciences. You will be able to demonstrate a compelling vision for the future of mathematical AI, with promise for publishing in internationally leading Mathematical Sciences literature, and creative ideas for obtaining external research funding. You will show evidence of a commitment to translating foundational mathematical discoveries into real-world solutions through partnerships outside the academic sector, and have a desire to foster the next generation of mathematicians within an outward-facing talent pipeline. Strong applicants will be expected to have an application focus in areas including (though not limited to): epidemic modelling; systems modelling in biological, environmental, and ecological systems; areas of manufacturing and materials engineering; and cybersecurity applications.

We welcome applications from all diversity groups. The Department provides an environment aiming to meet the individual needs of each staff member. All new staff members are provided with mentoring and support from a carefully selected group of colleagues, with a lead individual taking responsibility for personal development. We are committed to family-friendly and flexible working policies, and seek to promote a healthy work-life balance. The University is a charter member of Athena Swan and has held a Bronze award since 2008, in recognition of good employment practice to address gender equality in higher education and research. The Department achieved its own Athena Swan Bronze award in 2017, renewed in 2021, and is a registered supporter of the London Mathematical Society's Good Practice Scheme. We will consider applications to work on a part-time, flexible and job-share basis and habitually agree to flexible modes of working.

Informal enquiries should be made to the Head of MARS, Professor Chris Jewell [email protected], or the Director of Research, Professor Rebecca Killick [email protected].

General information about the department can be found at https: // www.

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