Lecturer in Research Methods / AI Skills
Lecturer in Research Methods / AI Skills

Lecturer in Research Methods / AI Skills

Hampshire Full-Time 33900 - 45400 £ / year (est.) No home office possible
U

At a Glance

  • Tasks: Lead training in AI skills and conduct cutting-edge research in quantitative methods.
  • Company: Join the University of Southampton, a leader in education and research with a commitment to inclusivity.
  • Benefits: Enjoy a competitive salary, generous holiday allowance, and flexible working options.
  • Why this job: Be part of an innovative project shaping the future of digital skills and AI in the UK.
  • Qualifications: Ideal for those nearing completion of a PhD in relevant fields with a background in quantitative methods.
  • Other info: Position available part-time or full-time, with potential for extension based on funding.

The predicted salary is between 33900 - 45400 £ per year.

The University of Southampton invites applications for a Lecturer from candidates with interests in AI, quantitative research methods, applied statistics, survey methodology and/or (online) data collection methods, and a commitment to excellence in research and education. This is an exciting opportunity to work on a new UKRI-funded project ‘New approaches to digital skills development (AI skills)’ and with the ESRC-funded National Centre for Research Methods (NCRM).

The digital skills project aims to develop skills training in AI methods to deliver an innovative training and capacity building programme that will help to ensure that the UK remains at the forefront of digital skills and AI. Work spans across three project themes:

  • Large language models for (survey) research and data usage and analysis,
  • AI in prediction and in polling data; and
  • Use of AI to support environmental sustainability research.

The programme leverages the UK-wide partnership model of NCRM. The current post is for a Lecturer to undertake training and capacity building work and quantitative, cutting-edge research. The post holder will be required to support and lead on the training and capacity building programme, predominately around AI, including engagement and co-production with key project partners and stakeholders across sectors. You will have the opportunity to conduct high-quality research in line with the project’s and/or Centre’s remit.

The post also offers a unique opportunity to work with key stakeholders in the UK around AI and in research methods. The postholder will be based in the School of Economic, Social and Political Sciences and will work as part of the NCRM team. Applications for this position will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification. The title of Lecturer will be applied upon successful completion of the PhD.

The candidate should have a background in quantitative methods or applied/social statistics. The candidate must show evidence of working independently, excellent organisation skills, team-work abilities, excellent writing skills, and interests and experience in AI and/or quantitative methods, and, for level 5, experience in grant writing and/or income generating activities. Experience with survey methodology and/or (online) data collection methods and/or statistical modelling are desirable.

The current post is until 31st Oct 2026 with the possibility of an extension depending on project funding. The post is available on a part-time or full-time basis (minimum 0.6fte). The successful candidate will be expected to start 4th August 2025, or as soon as possible thereafter. We aim to hold interviews during w/c 7th July (likely 7th, 8th, or 11th.)

The employing organisation is the University of Southampton which offers a competitive salary, pension scheme and other benefits. The University of Southampton holds an Athena SWAN Silver Award demonstrating commitment to equal opportunities in the workplace. We welcome applications from all sections of the community.

For informal enquiries about the post, please feel free to contact the NCRM Director and Project Lead Prof Gabriele Durrant. As a university, we aim to create an environment where everyone can thrive and are proactive in fostering a culture of inclusion, respect and equality of opportunity. We believe that we can only truly meet our objectives if we are reflective of society, so we are passionate about creating a working environment in which you are free to bring your whole self to work. With a generous holiday allowance as well as additional university closure days, we are committed to supporting our staff and students and open to a flexible working approach.

Apply by 11.59 pm GMT on the closing date. For assistance, contact Recruitment quoting the job number.

Lecturer in Research Methods / AI Skills employer: University of Southampton

The University of Southampton is an exceptional employer, offering a vibrant work culture that prioritises inclusivity and professional growth. With a commitment to excellence in research and education, employees benefit from competitive salaries, generous holiday allowances, and opportunities to engage in cutting-edge projects in AI and quantitative research methods. The university's dedication to fostering a supportive environment ensures that all staff can thrive while contributing to meaningful advancements in digital skills and sustainability.
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Contact Detail:

University of Southampton Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Lecturer in Research Methods / AI Skills

✨Tip Number 1

Familiarise yourself with the latest trends in AI and quantitative research methods. This will not only help you during the interview but also demonstrate your genuine interest in the field and the specific projects at the University of Southampton.

✨Tip Number 2

Network with professionals in the field of AI and social statistics. Attend relevant conferences or webinars, and connect with current staff or alumni from the University of Southampton to gain insights into their work and the culture of the department.

✨Tip Number 3

Prepare to discuss your experience with training and capacity building in AI methods. Think of specific examples where you've successfully engaged with stakeholders or led projects, as this aligns closely with the responsibilities of the role.

✨Tip Number 4

Research the UKRI-funded project and the ESRC-funded National Centre for Research Methods. Understanding their goals and how your expertise can contribute will give you a significant edge during the interview process.

We think you need these skills to ace Lecturer in Research Methods / AI Skills

Quantitative Research Methods
Applied Statistics
Survey Methodology
Data Collection Methods
AI Skills
Statistical Modelling
Grant Writing
Project Management
Teamwork Abilities
Excellent Writing Skills
Independent Working
Organisational Skills
Stakeholder Engagement
Capacity Building

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in AI, quantitative research methods, and applied statistics. Emphasise any relevant projects or research that align with the job description.

Craft a Strong Cover Letter: In your cover letter, express your passion for AI and research methods. Discuss how your background and skills make you a perfect fit for the role, and mention your commitment to excellence in research and education.

Highlight Relevant Experience: When detailing your experience, focus on any work related to survey methodology, data collection methods, or statistical modelling. Provide specific examples of your contributions and outcomes in these areas.

Proofread Your Application: Before submitting, carefully proofread your application materials. Check for spelling and grammatical errors, and ensure that your writing is clear and concise. A polished application reflects your attention to detail.

How to prepare for a job interview at University of Southampton

✨Showcase Your Research Passion

Make sure to express your enthusiasm for AI and quantitative research methods. Discuss any relevant projects or experiences that highlight your commitment to excellence in research and education.

✨Demonstrate Collaboration Skills

Since the role involves working with key stakeholders, be prepared to share examples of how you've successfully collaborated in past projects. Highlight your teamwork abilities and how you engage with partners across different sectors.

✨Prepare for Technical Questions

Expect questions related to applied statistics, survey methodology, and data collection methods. Brush up on these topics and be ready to discuss your experience and knowledge in detail.

✨Discuss Your Future Vision

Articulate your vision for contributing to the digital skills development project. Share ideas on how you would approach training and capacity building in AI methods, demonstrating your forward-thinking mindset.

Lecturer in Research Methods / AI Skills
University of Southampton
U
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