At a Glance
- Tasks: Join a research team to analyse far-right discourse using innovative statistical methods.
- Company: Lancaster University, a top-ranked research institution in the UK.
- Benefits: Competitive salary, supportive work environment, and opportunities for professional growth.
- Other info: Enjoy a vibrant community and beautiful surroundings near the Lake District.
- Why this job: Make a real impact on understanding digital far-right movements while developing your research skills.
- Qualifications: MSc or BSc with 1st class honours in statistics or related field required.
The predicted salary is between 33002 - 37694 £ per year.
Location: Bailrigg, Lancaster, UK
Salary: £33,002 to £37,694 (Full time, indefinite with end date)
Closing Date: Sunday 07 June 2026
Interview Date: To be confirmed
Reference: 0333-26
This position is funded by the UKRI Future Leader’s Fellowship scheme. The successful applicant will join a team of researchers based at Lancaster University working on the project ‘A Multi-Dimensional Understanding of the Digital Far Right’.
The project has three core aims:
- To systematically identify how far right groups vary (what linguistic features and repertoires they share and how the most high risk content compares).
- To develop an innovative methodology to allow for (1).
- To provide training of (1) and (2) to law enforcement.
The applicant should hold an MSc (or BSc with 1st class honours) in statistics or a relevant field, have a background in multivariate statistical techniques, clustering techniques, sparse data and zero-inflation techniques and a critical academic interest in far right discourse.
This is a fixed term FTE for a period of 12 months.
Lancaster University is highly ranked and research-led and situated near the historic city of Lancaster. The North West of England offers high standards of living, beautiful countryside, including the Lake District, and excellent national and international transport connectivity.
For informal enquiries, please contact Dr Isobelle Clarke, Lecturer in Security and Protection Science; UKRI Future Leaders Fellow.
Please note: unless specified otherwise in the advert, all advertised roles are UK based.
The University recognises and celebrates good employment practice undertaken to address all inequality in higher education whilst promoting the importance and wellbeing for all our colleagues. We warmly welcome applicants from all sections of the community regardless of their age, religion, gender identity or expression, race, disability or sexual orientation, and are committed to promoting diversity, and equality of opportunity.
Research Associate in England employer: Lancaster University
Lancaster University is an exceptional employer, offering a vibrant work culture that prioritises research excellence and employee wellbeing. With a commitment to diversity and equality, the university provides ample opportunities for professional growth and development, all set against the backdrop of the picturesque North West of England, which boasts stunning landscapes and excellent transport links. Join us in making a meaningful impact through innovative research while enjoying a supportive and inclusive workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Research Associate in England
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Lancaster University on LinkedIn. A friendly chat can give us insider info and might just put your name on the hiring manager's radar.
✨Tip Number 2
Prepare for the interview by diving deep into the project ‘A Multi-Dimensional Understanding of the Digital Far Right’. Show us you’re not just interested in the role, but that you understand the impact of the research!
✨Tip Number 3
Practice your stats skills! Brush up on multivariate statistical techniques and clustering methods. We want to see you confidently discuss how your expertise aligns with the project’s aims during the interview.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you’re serious about joining the team at Lancaster University.
We think you need these skills to ace Research Associate in England
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Research Associate role. Highlight your relevant experience in statistics and any projects related to far right discourse. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about this project and how your background fits with our aims. Keep it engaging and personal – we love a bit of personality!
Showcase Your Skills:Don’t forget to showcase your multivariate statistical techniques and clustering skills in your application. We’re keen to see how you can contribute to developing innovative methodologies for our research.
Apply Through Our Website:Make sure to apply through our website for the best chance of being noticed. It’s super easy, and we’ll get all your details in one place. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Lancaster University
✨Know Your Stuff
Make sure you brush up on your knowledge of multivariate statistical techniques and clustering methods. Be ready to discuss how these apply to the project on the digital far right, as this will show your genuine interest and expertise in the field.
✨Show Your Passion
Express your critical academic interest in far right discourse during the interview. Share any relevant research or projects you've worked on that align with the aims of the project. This will help you stand out as a candidate who is not just qualified but also genuinely invested in the subject matter.
✨Prepare Questions
Think of insightful questions to ask about the project and the team at Lancaster University. This shows that you're engaged and eager to learn more about how you can contribute to their goals, especially regarding training law enforcement.
✨Practice Makes Perfect
Conduct mock interviews with friends or mentors to practice articulating your thoughts clearly and confidently. Focus on explaining complex statistical concepts in simple terms, as this will be crucial when discussing methodologies with non-experts.
