Senior Lecturer/Reader/Professor in Artificial Intelligence (Teaching & Research)

About the role

Salary:  Senior Lecturer Grade H: £58,225 to £67,468 Reader Grade IA: £69,488 to £73,090 Professor Grade IB: Band 1: £74,921 to £82,282 Band 2: £84,174 to £111,879 Band 3: £114,268 +   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   Senior Lecturer,  Reader, or  Professor  level in  Artificial Intelligence. The role 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.     You will be  expected to carry out excellent research and teaching  in an area of  Artificial Intelligence  which complements and strengthens existing activities within the  Faculty.  You will contribute to the research profile of the assigned school by  publishing in  internationally  recognised  journals  and conferences,  demonstrating  research impact, and securing external research funding. Additionally, 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.     The University has developed  an   Academic Job Summary Guidance  document which summarises the range of activities that academic staff may be expected to perform.     Key Accountabilities     The successful candidate will be expected to:   Provide academic leadership  in  Artificial Intelligence, shaping research direction and contributing to the strategic development of the school   Lead and contribute to  interdisciplinary  research initiatives across  Artificial Intelligence  and related  fields.  Publish refereed articles in  venues  of international standing   appropriate to   Artificial Intelligence   Collaborate with colleagues in the  relevant section of the home school, and   with  colleagues from other  disciplines within the university  on  Artificial Intelligence   Seek out funding opportunities and d evelop grant-funded research projects   Attract, supervise,  and  mentor doctoral researchers and  postdoctoral  associates   across a broad range of  Artificial  Intelligence   disciplines.   Build and  maintain  strategic links with industry,  government  and external stakeholder s   in order to  contribute to the development of  applied, methodological, or theoretical aspects of AI technologies   Lead the design and delivery of research-inspired teaching   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   Fully engage with Newcastle's Leading Edge Curriculum redevelopment, ensuring that our students’ learning is enriched through engagement with research, industry,  practice  and society     Carry out administrative duties as assigned by the Head of School and the School Executive Board.     The Person      Knowledge,  Skills  and  Experience     Essential criteria  -  Senior Lecturer (Grade H)     Ability to deliver high-quality, research-led teaching in  A rtificial Intelligence, using  appropriate technologies  to engage and support students, including supervision of undergraduate and postgraduate projects.      Experience  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.      A record of successful research income generation, either in own name or as a major contributor, with evidence of leading collaborative research success in Artificial Intelligence   A strong  track record  of successful supervision of PhD students and postdoctoral  researchers   students,  alongside consistent supervision of UG/PG research projects.      Demonstrated ability to  mentor junior colleagues,  lead teams,  initiatives  or strategic areas within the  School, contributing to its wider academic and operational leadership.     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 – Reader    An outstanding research profile  commensurate  with career sta g e,  with  a strong publication record  in  Artificial Intelligence,  evidenced  by publications in leading venues and other esteem indicators appropriate to  Artificial Intelligence   Strong  ability to  effectively  teach at university level, including experience of  programme  development. Evidence of development  of,  and  ability to deliver,  innovative and effective teaching and learning materials  across a broad range of Mathematical or Computing Science and AI modules  with an ability to create ideas for course development at undergraduate and postgraduate levels   Excellent written and oral communications skills, and ability to engage effectively across the academic unit,  Faculty  and external stakeholders.   Ability to  pro-actively  lead on ambitious academic initiatives  such as AI 2030,  that can contribute to our institutional portfolio in  AI, for example, large-scale funding opportunities and/or new education provision   Experience of  university  leadership   or significant administrative roles,  and management in academic or industrial settings, with the ability to motivate, empower, and support colleagues in a collaborative and consultative environment   Strategic thinking, with experience of contributing to  organisational  development and change   Significant experience  of managing projects and leading a group of  researchers  ( Desirable )   Evidence of supporting cross-disciplinary research  ( Desirable )     Additional Criteria – Professor   An internationally recognised research leader with a substantial record of publications in leading journals  and conference proceedings, significant research funding, and demonstrable impact   A proven ability to lead large-scale, collaborative research programmes or institutional initiatives   A sustained record of academic leadership, including contributions to School, Faculty, or national-level strategy.     Attributes and  Behaviour   Ability to lead or co-lead within  the relevant school, setting clear direction, inspiring colleagues, and fostering a culture of continuous improvement and excellence.    Strong interpersonal and team-working skills, with a clear commitment to creating an inclusive, supportive, and high-performing academic environment.   Commitment to mentoring and developing early-career researchers, while contributing positively to the wider life, culture, and success of the  School.    Demonstrates  an ambitious, credible research vision aligned to School priorities,  demonstrating  thought leadership and long-term impact.    Demonstrates integrity, accountability, and resilience in the face of change, alongside a positive and responsive approach to student engagement and  administrative  support.   An 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.     Qualifications   A degree (or equivalent)  in  Artificial Intelligence, or a closely related discipline such as  Mathematics,  Computing, Data Science, or Machine Learning.     Completed PhD  in  Artificial Intelligence, or a closely related discipline such as  Mathematics,  Computing, Data Science, or Machine Learning.     HE  teaching  qualification (or equivalent experience)    A relevant Professional Body Membership as  appropriate to  the subject area (Desirable)    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: 29573 #AI2030