LecturerSenior Lecturer in Mathematical or Statistical Data Science

Salary:

Lecturer Grade F 41064 - 46049 per annum

Lecturer Grade G 47389 - 56535 per annum

Senior Lecturer Grade H 58225 - 67468 per annum

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: 14 June 2026

The role

Applications are invited at Lecturer or Senior Lecturer level in Mathematical or Statistical Data Science broadly interpreted to include AI. The role will be based within the Statistics and Data Science section in 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 Mathematical and/or Statistical Data Science which complements and strengthens existing activities within the addition there is an opportunity to engage with applied Data Science across a wide range of disciplines within the University including the School of Computing and the Faculty of Medical Sciences.

You will contribute to the research profile of the Statistics and Data Science Section within MSP by publishing in internationally recognised journals demonstrating research impact and securing external research funding.

Additionally you will be a key contributor to the Data Science 2030 (DS2030) faculty project to broaden our institutional offering in data science alongside the related Artificial Intelligence 2030 project. This will comprise a joined up educational offering at UG and PGT level and will be sector-leading in providing forward-facing data skills embedded in academic units across all parts of the university. DS2030 will act as a solid platform to build tangible cross-institutional research and business engagement opportunities. DS2030 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.

For any additional documents you will need to attach them to either your CV or Cover letter and upload them.

For all informal enquires please contact

Key Accountabilities

Teaching & Learning
To provide high quality teaching and learning and student support across a broad range of Data Science disciplines
Mentor and support students throughout their studies in the role of personal tutor
Set and mark assessment of modules in accordance with University stand- ards and utilise on-line and digitised curricula and education frameworks
Contribute to curriculum development in the area of Data Science and beyond in accordance with the requirements of the Statistics and Data Science section
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 MSc students across a broad range of Data Science disciplines
Undertake external professional activities that contribute to the development of applied methodological or theoretical Data Science
Undertake innovative and effective teaching and curriculum design

Research
Undertake independent original research in Mathematical and/or Statistical Data Science 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 Data Science disciplines
Publish refereed articles in venues of international standing appropriate to Data Science
Collaborate with colleagues in the Statistics and Data Science section
Collaborate with colleagues from other disciplines within the university on applied Data Science
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 MSP 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)
(Evidence or clear potential expected)
Ability to deliver high-quality research-led teaching in Data Science 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 Mathematical and/or Statistical Data Science contributing to the research profile of the Statistics and Data Science section
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)
Academic Job Description

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 Data Science or a closely related discipline such as Mathematics Statistics or Machine Learning
PhD at or near completion (strictly within three months of submission at time of application) in a relevant subject in Data Science or a closely related discipline such as Mathematics Statistics or Machine Learning)
A relevant Professional Body Membership as appropriate to the subject area (Desirable)
HE teaching qualification (or equivalent experience) (Desirable)

Lecturer Grade G
In addition to meeting the criteria for the Lecturer Grade F candidates must also meet the following criteria:
Completed PhD in in Data Science or a closely related discipline such as Mathematics Statistics 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 GoldAthena Swan award in recognition of our good employment practices for the advancement of gender equality. We also hold a Race Equality CharterBronze 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: 29384