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

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. 

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 develop 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 stakeholders 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. 

Ability to deliver high-quality, research-led teaching in Artificial 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.    

An outstanding research profile commensurate with career stage, 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) 

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. 

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. 

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)