Lecturer/Senior Lecturer in AI & Cyber Security

Salary: 

Lecturer Grade F: £41,064 to £46,049

Lecturer Grade G: £47,389 to £56,535

Lecturer Grade H: £58,225 to £67,468

Newcastle University is a great place to work, with excellent benefits. We have a generous holiday package; plus the opportunity to buy more, great pension schemes and a number of health and wellbeing initiatives to support you.

Closing Date: 27 September 2026

The Role 

Applications are invited at Lecturer/Senior Lecturer level in AI & Cyber Security, and the full range of levels from lecturer to professor in each of Artificial Intelligence, and AI & Quantum. The roles will be based in the appropriate school within SAgE faculty, depending on the background and alignment of the candidate: either the School of Computing, or the School of Mathematics, Statistics & Physics (MSP), with a flexible start date to be agreed. The successful candidate will be expected to carry out excellent research and teaching in the appropriate subject which complements and strengthens existing activities within the relevant School.

You will benefit from a thriving environment in Artificial Intelligence, which is one of the key research themes of Newcastle University. We are expanding our Artificial Intelligence capacity from a position of strength: we host and lead the £12 million EPSRC-funded National Edge AI hub and are partners in the £30m Newcastle-based National Innovation Centre for Data. We host the STFC Centre for Doctoral Training in Data Intensive Science, as well as Centres of Research Excellence in Data Science & AI, Cybersecurity and Resilience, and AI Safety. We are also heavily involved in the University development of Newcastle Helix, a £200 million project bringing together academia, the public sector, business, and industry on a new site in the heart of the city.  

Our research activities span the theory and methods underpinning AI and Quantum through to data-driven real-world applications of AI in the life sciences, the cosmos and industry.  Our activities are supported by a broad portfolio of research funding, including from the Alan Turing Institute, EPSRC, ERC, the Heilbronn Institute, ICMS, the Leverhulme Trust, NERC, the Royal Society, and STFC, and an extensive network of Knowledge Transfer Partnerships across the North East.

You will be a key contributor to the AI2030 faculty project to broaden our institutional offering in Artificial intelligence, alongside the related Data Science 2030 project. This will comprise a joined up educational offering at UG and PGT level, and will be sector-leading in providing forward-facing AI skills embedded in academic units across all parts of the university. AI2030 will act as a solid platform to build tangible cross-institutional research and business engagement opportunities. AI2030 will be supported by strategic investment and the role holder will be a critical contributor to the success of the project.

Our aim is to employ a rich mix of Colleagues with different backgrounds that will help us to:

• contribute new ideas and different perspectives to both teaching and research


• provide diverse role models and attract a wide range of bright, active, and engaged students


• At Reader/Prof level we are seeking candidates to pro-actively lead on ambitious academic initiatives such as the AI and Data Science 2030 projects that can contribute to our institutional portfolio in AI, for example, large-scale funding opportunities and/or new education provision

The University has developed an Academic Job Summary Guidance document which summarises the range of activities that academic staff may be expected to perform.

All applicants who fulfil the criteria are welcome. We are keen to offer opportunities, where possible, to people from groups who are currently underrepresented in STEM disciplines in the UK.  We are the proud recipients of an institutional gold Athena SWAN award and a unit-level silver award, demonstrating our achievements and ongoing commitment to achieving gender equality. 

Informal enquiries may be made to Dr David Seifert ([email protected]), Prof Phil Lord ([email protected]) or Prof Murray Pollock ([email protected]).

More information about the Schools can be found at http://www.ncl.ac.uk/maths-physics and https://www.ncl.ac.uk/computing/

To apply please follow the below link to Newcastle University Careers Page found here. 

Key Accountabilities 

Teaching & Learning

• Deliver high-quality teaching, assessment, and student support at undergraduate and postgraduate levels in the area of AI and beyond, in accordance with the requirements of the home School


• Contribute to programme development, accreditation, and academic leadership in education across a broad range of AI disciplines, as well as specifically within Cyber Security


• Mentor and support students throughout their studies in the role of personal tutor


• Set, and mark, assessment of modules in accordance with University standards and utilise on-line and digitised curricula and education frameworks


• Ensure all our students benefit from studying in a research intensive, academic environment


• Provide education for life, that engages, challenges and supports our students to discover and fulfil their potential both while they are studying with us and once they have graduated


• Supervise UG and MSc students across a broad range of AI disciplines


• Undertake external professional activities that enhance teaching relevance and industry alignment in AI and Cyber Security


• Undertake innovative and effective teaching and curriculum design


• Fully engage with Newcastle's Leading Edge Curriculum redevelopment, ensuring that our students’ learning is enriched through engagement with research, industry, practice and society

Research

• Develop and lead internationally excellent research in AI and/or Cyber Security which demonstrates international standards of excellence in terms of originality, significance and rigour in the subject area


• Supervise PhD students and postdoctoral researchers across a broad range of AI disciplines


• Publish refereed articles in venues of international standing appropriate to AI & Cyber Security


• Collaborate with colleagues in the home section, and beyond into other disciplines within the university, on AI & Cyber Security


• Seek out external funding opportunities and develop grant-funded research projects


• Demonstrate impact by developing research-based solutions to real-world problems and engage with external stakeholders to develop the impact of your work

Other

• Contribute positively to the Vision, Mission and Strategy of the home School as well as the life and work of the School in general


• Carry out administrative duties as assigned by the Head of School and the School Executive Board


• Demonstrate the ability to advance equity and fairness in higher education through inclusive teaching, research, or professional practice, without compromising the legal protections for academic freedom and freedom of speech within the law


• Undertake a range of administrative tasks to support your area of teaching, and/or research, and/or engagement for example, recruitment or research team leadership


• Take responsibility for a defined management or administrative role such as Module Leader, Year Tutor, Degree Programme Director, Research Director, Outreach Co-ordinator

In addition, for Senior Lecturer Grade H:

• As a senior colleague, make a positive citizenship contribution to the School/Faculty community


• To provide academic leadership to colleagues and students


• To have responsibility for the design, development, implementation and administration of successful new courses


• Attract as well as supervise PGR students in a research-led university

The Person

Knowledge, Skills and Experience

Essential Criteria – Lecturer (Grade F)

• Ability to deliver high-quality, research-led teaching in AI & Cyber Security, using appropriate technologies to engage and support students, including supervision of undergraduate and postgraduate projects


• Evidence or potential to produce high-quality research outputs in AI & Cyber Security, contributing to the research profile of the School


• Ability or emerging potential to contribute to research funding bids and collaborative research activity


• Ability to work collaboratively across disciplines and contribute to team-based activity, with emerging engagement with external stakeholders to support research impact


• Strong communication, organisational and time management skills, with the ability to contribute positively to School priorities, strategy and academic community

Additional Criteria – Lecturer (Grade G)

(Demonstrated track record expected beyond Grade F)

• A developing or sustained international research profile, with a track record of high-quality publications and growing academic recognition


• Evidence of securing or significantly contributing to externally funded research and delivering impact through stakeholder engagement


• Experience of designing and delivering high-quality teaching materials and contributing to programme/module development


• Experience of supervising PGR students and mentoring junior colleagues, alongside consistent supervision of UG/PG research projects


• Evidence of active contribution to the subject group/School and the ability to take on leadership responsibilities where required

Additional Criteria – Senior Lecturer (Grade H)

(Clear leadership and sustained impact expected)

• Experience of leading programme-level design and delivery of teaching, learning and assessment strategies


• A strong, sustained international research profile with a consistent track record of high-quality outputs and recognition


• Demonstrated ability to lead teams, initiatives or strategic areas within the School, contributing to its wider academic and operational leadership

Qualifications

Lecturer Grade F

• A degree (or equivalent) in AI & Cyber Security, or a closely related discipline such as Mathematics, Computing, Data Science, or Machine Learning


• PhD at or near completion (strictly within three months of submission at time of application) in a relevant subject in AI & Cyber Security, or a closely related discipline such as Mathematics, Computing, Data Science, or Machine Learning

Desirable 

• A relevant Professional Body Membership as appropriate to the subject area 


• HE teaching qualification (or equivalent experience) 

Lecturer Grade G

In addition to meeting the criteria for the Lecturer Grade F candidates must also meet the following criteria:

• Completed PhD in AI & Cyber Security, or a closely related discipline such as Mathematics, Computing, Data Science, or Machine Learning

Senior Lecturer Grade H

In addition to meeting the criteria for the Lecturer Grade F/G candidates must also meet the following criteria:

• HE teaching qualification (or equivalent experience)

Newcastle University is a global University where everyone is treated with dignity and respect.  As a University of Sanctuary, we aim to provide a welcoming place of safety for all, offering opportunities to people fleeing violence and persecution.

We are committed to being a fully inclusive university which actively recruits, supports and retains colleagues from all sectors of society.  We value diversity as well as celebrate, support and thrive on the contributions of all of our employees and the communities they represent.  We are proud to be an equal opportunities employer and encourage applications from individuals who can complement our existing teams, we believe that success is built on having teams whose backgrounds and experiences reflect the diversity of our university and student population.

At Newcastle University we hold a Gold Athena Swan award in recognition of our good employment practices for the advancement of gender equality.  We also hold a Race Equality Charter Bronze award in recognition of our work towards tackling race inequality in higher education REC.  We are a Disability Confident employer and will offer an interview to disabled applicants who meet the essential criteria for the role as part of the offer and interview scheme.

In addition, we are a member of the Euraxess initiative supporting researchers in Europe. 

Requisition ID: 29571

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