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

Apply Now

Postdoctoral Research Associate

University of Oxford
Oxford
11 months ago
Applications closed

Related Jobs

View all jobs

Postdoctoral Research Associate in Network Data Science, Statistics and Probability - London...

Postdoctoral Research Associate in Transdiagnostic Artificial Intelligence

Research Fellow in Data Science and Analytical Chemistry

Assistant Professor in Statistics and Data Science (Research and Education) - School of Mathema[...]

MRC Postdoctoral Research Scientist in Machine Learning

Postdoctoral Research Assistant in Computer Vision

Cardiovascular Medicine Level 6, West Wing, John Radcliffe Hospital, Oxford OX3 9DURADCLIFFE DEPARTMENT OF MEDICINEPost: Postdoctoral Research AssociateContract Type: Fixed-term for 4 yearsWe seek a postdoctoral scientist to join our interdisciplinary cardiovascular research group investigating human heart disease through multiscalar imaging approaches. As a core team member, you will spearhead computational approaches to cardiac spatial and tissue biology, working closely with clinical and preclinical scientists across local and international collaborations. The role will include developing computational pipelines for -omics datasets, creating reproducible workflows, and designing novel spatial analytical methods. You will author publications, present at conferences, mentor junior researchers, and contribute to grant proposals. Experience in single-cell analysis, image processing, computer vision, machine learning, and high-performance computing is valued, as is knowledge of cardiovascular biology and interest in clinical translation. Qualified candidates must hold a PhD/DPhil in a relevant field with demonstrated research experience, project management ability, and well developed interpersonal and communication skills. A track record of scientific publication and grant writing experience is an advantage but not essential. While the role is intended to be primarily computational, relevant wet-lab expertise would also be welcomed. We strongly encourage potential applicants to reach out for informal discussion about the opportunity and role alignment.Application ProcessInterviews are expected to be held on3rd February 2025.

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.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.