Teaching Fellow in Statistics or Senior Teaching Fellow in Statistics

Imperial College London
London
1 year ago
Applications closed

Related Jobs

View all jobs

Reader in Artificial Intelligence

Reader in Artificial Intelligence

Reader in Artificial Intelligence

Reader in Artificial Intelligence (Machine Learning, NLP, Reinforcement Learning, and AI Security)

Reader in Artificial Intelligence

MSc Data Science and Artificial Intelligence

The Department of Mathematics has a popular undergraduate programme with around 900 enrolled students, many of whom specialise in Statistics, as well as a heavily over-subscribed MSc in Statistics. In 2021-22, the Department welcomed the first cohort of students on a new MSc programme in Machine Learning and Data Science, delivered entirely online.

The Department of Mathematics wishes to appoint a permanent Teaching Fellow or Senior Teaching Fellow. Your main duties will be to develop and deliver undergraduate and postgraduate modules on behalf of the Statistics Section across all these programmes. You will also carry out personal tutoring and project supervision work. At the senior level, you would be expected to make a substantial contribution to the development of the undergraduate and postgraduate curriculum, and to the efficient running of teaching within the Department.


Your main duties will be to develop and deliver undergraduate and postgraduate modules on behalf of the Statistics Section across all these programmes. You will also carry out personal tutoring and project supervision work. At the senior level, you would be expected to make a substantial contribution to the development of the undergraduate and postgraduate curriculum, and to the efficient running of teaching within the Department.


You will hold a PhD (or equivalent) in Statistics or a closely related discipline.

You will also have, or be working towards, a recognised teaching qualification, or be able to demonstrate experience in a formal teaching environment.

A specialist knowledge of Statistics, or closely related field, and of teaching methods and techniques within the field of mathematics is essential. You must have recent experience and proven competence of teaching at (at least) an undergraduate level, including project supervision and tutoring.

You must have experience of promoting effective learning and interaction with students, together with an ability to motivate mathematics students in the study of statistics.

Please see the list of essential and desirable requirements in the job description. Your application should address and evidence each of these as far as is possible.


The opportunity to continue your career at a world-leading institution.Sector-leading salary and remuneration package.The opportunity to teach in and further develop our thriving undergraduate and postgraduate programmes in Statistics.Dedicated mentors, supportive colleagues and tailored training opportunities.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.