At a Glance
- Tasks: Teach advanced quantitative methods and supervise postgraduate research projects.
- Company: Join LSE, a leading university committed to diversity and inclusion.
- Benefits: Competitive salary, generous leave, pension scheme, and professional development opportunities.
- Other info: Excellent support for career progression into tenure track positions.
- Why this job: Make an impact in social science while advancing your academic career.
- Qualifications: PhD in progress or completed, with teaching experience and strong communication skills.
The predicted salary is between 43277 - 51714 £ per year.
LSE is committed to building a diverse, equitable and truly inclusive university. Salary from £43,277 to £51,714 per annum inclusive of London allowance with potential to progress to £55,497 pa. This is a fixed-term appointment for 2 years, starting in September 2026.
The Department of Methodology at LSE coordinates and provides a focus for methodological research and teaching, with a particular focus on the methodological development of postgraduate students. The department is methodologically and disciplinarily diverse, with faculty in sociology, anthropology, international relations, political science, statistics, economics, social psychology, social policy, and criminology.
We are seeking to appoint an individual with established research interests and teaching experience in advanced quantitative methods and computational social science. The successful candidate will contribute to the Department’s teaching activities through seminar teaching, methods surgeries, and dissertation/capstone supervision. The successful candidate will join an internationally outstanding group of social science methodologists, be encouraged to collaborate with faculty on new and ongoing projects and supported to develop their own independent research agenda.
The Department of Methodology has an excellent record of supporting its Postdoctoral Fellows into tenure track positions at leading universities in the UK and internationally. Candidates should have completed or be near to completing their PhD by the time they take up the post.
Candidates should have:
- A developing record of outstanding publications
- Ability to teach social science research methods to postgraduate students from diverse disciplines
- Commitment to high quality teaching and course development
- Excellent communication skills, both verbally and in writing
Applications should include:
- a covering letter which explains how you meet each of the essential and desirable criteria that are set out in the person specification for the post, and states your motivation for applying;
- a curriculum vitae that includes details of your teaching experience and of your most important publications and working papers;
- a recent research paper that best represents your work.
We offer an occupational pension scheme, generous annual leave and excellent training and development opportunities. For further information about the post, please see the how to apply document, job description and the person specification. To apply for this post, please go to www.lse.ac.uk/LSEJobs. If you have any technical queries with applying on the online system, please use the “contact us” links at the bottom of the LSE Jobs page. Should you have any queries about the role, please email: Head of Department Prof Patrick Sturgis at p.sturgis@lse.ac.uk. The closing date for receipt of applications is 26th April 2026 (23.59 UK time). Regrettably, we are unable to accept any late applications.
NB An LSE Fellowship is intended to be an entry route to an academic career and is deemed by the School to be a career development position. As such, applicants who have already been employed as an LSE Fellow for three years in total are not eligible to apply. If you have any queries about this please contact the HR Division.
LSE Fellow in Advanced Quantitative Methods employer: LONDON SCHOOL OF ECONOMICS AND POLITICAL SCIENCE
LSE is an exceptional employer, offering a vibrant and inclusive work culture that fosters collaboration and innovation among its diverse faculty. With competitive salaries, generous annual leave, and robust training opportunities, the Department of Methodology supports the professional growth of its staff, particularly in advancing their research agendas and teaching skills. Joining LSE means becoming part of a prestigious institution dedicated to academic excellence and impactful social science research.
Contact Details:
LONDON SCHOOL OF ECONOMICS AND POLITICAL SCIENCE Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land LSE Fellow in Advanced Quantitative Methods
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like LONDON SCHOOL OF ECONOMICS AND POLITICAL SCIENCE!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like LSE Fellow in Advanced Quantitative Methods at LONDON SCHOOL OF ECONOMICS AND POLITICAL SCIENCE.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like LONDON SCHOOL OF ECONOMICS AND POLITICAL SCIENCE.
✨Apply Directly through Our Website
When you find a suitable opening like LSE Fellow in Advanced Quantitative Methods at LONDON SCHOOL OF ECONOMICS AND POLITICAL SCIENCE, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace LSE Fellow in Advanced Quantitative Methods
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at LONDON SCHOOL OF ECONOMICS AND POLITICAL SCIENCE, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at LONDON SCHOOL OF ECONOMICS AND POLITICAL SCIENCE. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at LONDON SCHOOL OF ECONOMICS AND POLITICAL SCIENCE
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at LONDON SCHOOL OF ECONOMICS AND POLITICAL SCIENCE!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
