Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Janeway Institute Postdoctoral Research Fellowship (Research Assistant or Research Associate) (Fixed Term)

University of Cambridge
Cambridge
10 months ago
Applications closed

The Faculty of Economics, Cambridge University has a Postdoctoral Research Fellowship available for candidates working in Empirical Analysis of Financial Markets who have recently been awarded a doctoral degree or expect to receive their degree by September 2025. The Fellowship is for a period of 3 years.

The Fellowship will be based at the Janeway Institute. The Janeway Institute was created to develop new fundamental ideas, methods and research which push the frontier of economics.

We welcome applications from researchers working on areas related to the below theme of the Institute (a non-exclusive list of topics of interest is in parenthesis)

Empirical analysis of financial markets (including high dimensional econometrics; high-frequency trading and market-microstructure; big data)

For more information see ().

Successful candidates should demonstrate an ability to develop their own research ideas and indicate how they can contribute to the empirical analysis of financial markets research group in Cambridge. It is expected that successful candidates' work will be at the cutting edge of the research frontier with a view to future publications in world leading journals.

Successful candidates who have not yet received their PhD by September 2025 will be employed on University Grade 5 as Research Assistants, starting at £31,396 per annum. Upon being awarded their PhD, their salary will be upgraded to Grade 7 as Research Associates (Fellowships), starting at £36,024 per annum in the first year. In the second year, the salary will rise to £37,099, and in the third year, it will be £38,205.

Limited teaching opportunities through the Janeway Teaching Fellowships are potentially available for those interested in gaining valuable experience and contributing to the learning environment. These opportunities are contingent on the Faculty's needs and the candidate being suitably qualified and eligible for the fellowship scheme. Further details, including additional remuneration for these teaching responsibilities, can be discussed during the interview process. Fellows would also have the possibility of joining a college.

Applications should consist of:a curriculum vitae;expression of interest cover letter outlining how you would be able to contribute to Janeway Institute in light of your research interests; job market paper;supplementary material containing other available research papers.

Three references will be sought upon receipt of application.

Queries may be directed to Marion Reusch, Janeway Institute Administrator,

Closing date: 15th December 2024

Interviews will be held in January or February.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

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.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.