Lecturer (Assistant Professor)/ Senior Lecturer (Assistant Professor) / Reader (Associate Professor) in NLP, Reinforcement Learning or AI Security/Assurance/Verification

Job title Lecturer (Assistant Professor)/ Senior Lecturer (Assistant Professor) / Reader (Associate Professor) in NLP, Reinforcement Learning or AI Security/Assurance/ Verification

Department Computer Science

Salary Starting from £47,389, rising to £73,709

Grade Grade 8 to Grade 9*

Contract Type Full Time, Open Ended

Placed on Wednesday 17 June 2026

Closing date Open Until Filled

Interview date To be confirmed

Reference AS13762

Guidance for International Applicants

The Department of Computer Science wishes to appoint a Lecturer (Assistant Professor) or Senior Lecturer (Associate Professor) or Reader (Associate Professor) in AI, specifically Natural Language Processing, Reinforcement Learning and/or AI Security/Assurance/ Verification, to join our strong and growing Artificial Intelligence and Machine Learning Research Group.

We are a highly collaborative team, working not only with other researchers in our department but across the university and beyond. We will offer you support and growth opportunities, including career mentoring, and opportunities to progress, manage and lead. We will help you to develop collaborations with regional, national and international partners, for example in science, entertainment, sport and healthcare. We will support the deepening of existing academic collaborations and the development of new ones. You will offer us a strong academic record and the ability and enthusiasm to create an engaging experience for our excellent students.

The University of Bath is based on an attractive, single-site campus that facilitates interdisciplinary research. It is located on the edge of the World Heritage City of Bath and offers the lifestyle advantages of working and living in one of the most beautiful areas in the UK.

About the role

Research
You will work with colleagues, students and researchers to develop and publish papers. You will apply for research funding to support your ideas. You will find ways of making your research available to society, for example, by working with industry, developing spin-outs, collaborating with charities, influencing policymakers, or delivering talks and demonstrations to inform and excite wider audiences.

Teaching
You will design and deliver teaching materials for lectures, tutorials, and labs. You will be educating and inspiring some of the brightest students in the country, delivering an engaging experience and a supportive programme.

Helping with the running of the department
You will have a few internal roles to help the Department run smoothly. For instance, you might help with student placements, ethics processes, recruitment and admissions or lead a research team.

The support and growth opportunities we provide

Training for an HEA fellowship qualification
New Lecturers will be enrolled into the Pathway to HEA Fellowship. Senior Lecturers will have the option to do so. This course will give you skills and support to help you in the teaching aspects of the role. After completing the course, you will become a Fellow of the Higher Education Academy.

Mentoring
All of our staff are allocated a mentor when they join. Your mentor will support you in your day-to-day job and help you progress.

Opportunities to progress, manage and lead
We’re a growing team and there are lots of opportunities to grow with us.

Opportunities to collaborate and build on our networks
You will be able to work with and build on the strong networks we have developed across sectors to help with your research and to attract more funding.

About you

Our ideal candidates will hold a PhD or equivalent in a relevant discipline, along with a first degree or equivalent experience. Membership of a professional body and a higher education teaching qualification (e.g. PGCert, FHEA) are desirable.

• You should demonstrate substantial research experience in your field, with an emerging track record for Lecturers and an established research profile with funding success for Senior Lecturers/Readers.
• A deep conceptual understanding of your subject, alongside experience teaching at UG/PG levels, is essential.
• Strong written, oral and interpersonal skills, along with the ability to form positive collaborations and working relationships, are required.
• A commitment to excellence in research and teaching, student experience, and ethical professional conduct is essential.
• Senior Lecturers and Readers should also exhibit academic leadership and a clear research vision.
• Additionally, Senior Lecturers and Readers must have current knowledge of modern teaching methodologies, including learning technologies, and a strong research strategy.
• All roles require excellent organisational and administrative skills.

Appointments will be made at Grade 8 for Lecturer positions, and at Grade 9 for Senior Lecturer and Reader positions.

We operate a rolling recruitment process; applications will be reviewed on an ongoing basis and the role will remain open until filled.

If you have any questions or you would like to talk informally about the role, please contact Professor Eamonn O’Neill, maseon @bath.ac.uk , Head of Department, or Professor Özgür Simsek, View email address on myscience.uk , Head of the AI and Machine Learning Research Group.

The University of Bath is an equal opportunities employer - we welcome applicants from all backgrounds. We’re working to improve the gender balance in the Department of Computer Science, and we particularly welcome applications from women.

We consider ourselves to be a university where difference is celebrated, respected and encouraged. We have an excellent international reputation with staff from over 60 different nations and have made a positive commitment towards gender equality and intersectionality receiving a Silver Athena SWAN award. We truly believe that diversity of experience, perspectives, and backgrounds will lead to a better environment for our employees and students and encourage applications from all genders, backgrounds, and communities, particularly from under-represented groups, and value the positive impact that will have on the university. We are committed to maintaining a safe and secure environment for our students, staff, and community by reinforcing our Safer Recruitment commitment.

We’re very proud to be a signatory of the Armed Forces Covenant . an accredited Disability Confident Leader ; autism friendly university , committed to building disability confidence and supporting disabled staff .

What we can offer you

We’re continually expanding our benefits package to better support you and enhance your experience with us and the below is just an example of some of the many great benefits we offer:

• Free counselling services through Health Assured
• Cycle to work scheme
• Electric vehicle salary sacrifice scheme
• Staff discount at Team Bath gym
• Staff discounts on postgraduate tuition fees
• Staff discount on language courses
• Generous employer contributory pension schemes
• Generous annual leave allowance with an additional 5 discretionary days so that you can enjoy a positive work life balance
• A wide range of personal and professional development opportunities including Apprenticeships, LinkedIn Learning and more
• Free entry to the Holburne Museum in Bath
• Local discounts and more
• A family-friendly workplace
• An excellent reward package that recognises the talents of our diverse workforce
• Relocation allowance
• Visa reimbursement and Interest-Free Loan to help with the cost of some immigration expenses

Find out more about our benefits and watch the video to hear from our staff about what makes the University of Bath a great place to work as well as following us and .

Email details to a friend

Further details:

• Job Description & Person Specification
• Job Description & Person Specification
• Job Description & Person Specification

Terms and Conditions of Employment

Right to Work in the UK: We do not assess immigration or right to work status until offer stage. Being invited to interview does not guarantee you are eligible for visa sponsorship and all offers are conditional on meeting right to work requirements. Further information is available on our application support webpage.

Anonymous shortlisting: We are constantly seeking to reduce the unconscious bias that enters any assessment process, with the goal of creating an inclusive and equal assessment process. To support this, personal details such as your name, may be removed from application forms at the initial shortlisting stage.