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

Apply Now

Research Fellow in Data science and Economics

UCL Eastman Dental Institute
London
6 months ago
Applications closed

Related Jobs

View all jobs

Product Data Scientist, Google Play, Developer

Product Data Scientist, Google Play, Developer

Data Engineer/Wrangler (CD3)

Software Engineer - Graph Data Science

Research Fellow in Data Science and Analytical Chemistry

Senior Research Fellow in Epidemiology and Data Science

About the role

The key tasks for the RA are to support with administration and logisitics with regard to the 1-day workshop for the Social Finance for Better Post Disaster Health project (SoFIT project) to be held in June , to support with creating pathways for research uptake/dissemination with Indonesia’s National Disaster Management Agency (BNPB), data collection, analysis and compilation as required. The 1-day workshop is to enable a face-to-face meeting with an expert form Indonesia's Resilience Development Initiative, stakeholders in social finance, and the private sector to support the coproduction of an innovative financial instrument for better post-disaster health in Indonesia to enable uptake of research. The workshop will support the building of a REF impact case study. To enable the this, the RA will play a critical role in creating impact pathways for research uptake/dissemination with Indonesia’s BNPB.

About you

The post-holder should be reading for a PhD with excellent skills in organisation, communication and secondary data collection. Prior experience working with Indonesia’s Disaster Management Agency and proficiency with Bahasa Indonesia required to support with data gathering and research uptake. Commitment to working to a higher quality in a collaborative working environment, involving international partners essential.

What we offer

As well as the exciting opportunities this role presents, we also offer some great benefits some of which are:• 41 Days holiday (27 days annual leave 8 bank holiday and 6 closure days per annum) per annum• Additional 5 days' annual leave purchase scheme• Defined benefit career average revalued earnings pension scheme (CARE)• Cycle to work scheme and season ticket loan• Immigration loan• Relocation scheme for certain posts• On-site gym• Enhanced maternity, paternity and adoption pay• Employee assistance programme: Staff Support Service• Discounted medical insurance. To find out more, visit

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.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.