Senior Lecturer/Reader/Professor in AI & Quantum (Teaching & Research)
- Bolton upon Dearne, United Kingdom
Posted 2 days ago
About the role
.buttontext6d0b46980d8b0627 a{ border: 1px solid transparent; } .buttontext6d0b46980d8b0627 a: focus{ border: 1px dashed #16726d !important; outline: none !important; }
Senior Lecturer/Reader/Professor in AI & Quantum (Teaching & Research)
Requisition ID: 29572
Location:
Newcastle, GB
#job-location.job-location-inline { display: inline; }
Contract Type: Open Ended
Working Pattern: Full Time
Posted Date: 28 Aug 2026
.buttontext5b73eb8ce7144827 a{ border: 1px solid transparent; } .buttontext5b73eb8ce7144827 a: focus{ border: 1px dashed #16726d !important; outline: none !important; }
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 AI & Quantum. 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 AI & Quantum which complements and strengthens existing activities within the Faculty. Your research will address the interface between AI (including research into and/or the application of artificial intelligence, machine learning or data science) and Quantum (including theoretical or experimental research into quantum technologies or underpinning experimental techniques or theoretical foundations). 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. The role holder will have access to state-of-the-art research facilities which includes significant investment in the Great Northeast Cleanroom and the recently commissioned supercomputer Comet. AI2030 will be supported by further 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 AI & Quantum, shaping research direction and contributing to the strategic development of the appropriate school (either MSP or Computing)
Lead and contribute to interdisciplinary research initiatives across AI & Quantum and related fields. Publish refereed articles in venues of international standing appropriate to AI & Quantum
Collaborate with colleagues in the home section, and beyond into other disciplines within the university, on AI & Quantum
Seek out external funding opportunities and develop grant-funded research projects
Attract, supervise, and mentor doctoral researchers and postdoctoral associates across a broad range of AI disciplines
Build and maintain strategic links with industry, government and external stakeholders in applied, methodological, or theoretical aspects of AI & Quantum 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, as well as specifically within AI & Quantum
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 AI & Quantum, using appropriate technologies to engage and support students, including supervision of undergraduate and postgraduate projects.
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.
A record of successful research income generation, either in own name or as a major contributor, with evidence of leading collaborative research success in AI & Quantum
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 stage, with a strong publication record in AI & Quantum, evidenced by publications in leading venues and other esteem indicators appropriate to the subject.
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, or potential, to lead or co-lead within either School of Computing or MSP, 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
Senior Lecturer Grade H, Reader, and Professor
A degree (or equivalent) in AI & Quantum, or a closely related discipline such as Physics, Computing, or Mathematics/Statistics.
Completed PhD in AI & Quantum, or a closely related discipline such as Physics, Computing, or Mathematics/Statistics.
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: 29572
#AI2030
.buttontext5b9fe3ea4bb792d9 a{ border: 1px solid transparent; } .buttontext5b9fe3ea4bb792d9 a: focus{ border: 1px dashed #16726d !important; outline: none !important; }
Senior Lecturer/Reader/Professor in AI & Quantum (Teaching & Research)
Requisition ID: 29572
Location:
Newcastle, GB
#job-location.job-location-inline { display: inline; }
Contract Type: Open Ended
Working Pattern: Full Time
Posted Date: 28 Aug 2026
.buttontext5b73eb8ce7144827 a{ border: 1px solid transparent; } .buttontext5b73eb8ce7144827 a: focus{ border: 1px dashed #16726d !important; outline: none !important; }
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 AI & Quantum. 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 AI & Quantum which complements and strengthens existing activities within the Faculty. Your research will address the interface between AI (including research into and/or the application of artificial intelligence, machine learning or data science) and Quantum (including theoretical or experimental research into quantum technologies or underpinning experimental techniques or theoretical foundations). 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. The role holder will have access to state-of-the-art research facilities which includes significant investment in the Great Northeast Cleanroom and the recently commissioned supercomputer Comet. AI2030 will be supported by further 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 AI & Quantum, shaping research direction and contributing to the strategic development of the appropriate school (either MSP or Computing)
Lead and contribute to interdisciplinary research initiatives across AI & Quantum and related fields. Publish refereed articles in venues of international standing appropriate to AI & Quantum
Collaborate with colleagues in the home section, and beyond into other disciplines within the university, on AI & Quantum
Seek out external funding opportunities and develop grant-funded research projects
Attract, supervise, and mentor doctoral researchers and postdoctoral associates across a broad range of AI disciplines
Build and maintain strategic links with industry, government and external stakeholders in applied, methodological, or theoretical aspects of AI & Quantum 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, as well as specifically within AI & Quantum
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 AI & Quantum, using appropriate technologies to engage and support students, including supervision of undergraduate and postgraduate projects.
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.
A record of successful research income generation, either in own name or as a major contributor, with evidence of leading collaborative research success in AI & Quantum
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 stage, with a strong publication record in AI & Quantum, evidenced by publications in leading venues and other esteem indicators appropriate to the subject.
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, or potential, to lead or co-lead within either School of Computing or MSP, 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
Senior Lecturer Grade H, Reader, and Professor
A degree (or equivalent) in AI & Quantum, or a closely related discipline such as Physics, Computing, or Mathematics/Statistics.
Completed PhD in AI & Quantum, or a closely related discipline such as Physics, Computing, or Mathematics/Statistics.
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: 29572
#AI2030
.buttontext5b9fe3ea4bb792d9 a{ border: 1px solid transparent; } .buttontext5b9fe3ea4bb792d9 a: focus{ border: 1px dashed #16726d !important; outline: none !important; }