Postdoctoral Research Scientist – Quantum Nanomaterials

University of Oxford
Oxford
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Genomic Data Scientist - 2 Year FTC, Adult Population Genomics Programme (we have office locations in Cambridge, Leeds & London)

Postdoctoral Data Analyst

Remote Postdoc Researcher - AI & Data Science Challenges

Research Assistant/Associate in Exoplanetary Remote Sensing and Data Science (up to 2 posts) (F[...]

Postdoctoral Fellow- Computational Biology and Machine Learning

Postdoctoral Fellow- Computational Biology and Machine Learning

We are seeking

a Postdoctoral Research Scientist to join Prof. Molly Stevens’s lab. The ideal candidate will be a motivated researcher with expertise in organic chemistry, a proven track record of first-author publications, and strong collaboration and self-management skills. You will develop next-generation quantum nanomaterials for ultrasensitive point-of-care diagnostics, working with interdisciplinary teams in nanotechnology, biosensing, optics, and machine learning. Responsibilities include synthesising and characterising photoluminescent materials and hybrid organic-inorganic systems to enhance brightness and stability. This fixed-term post is available from January 2025.Key responsibilities:• Develop hybrid quantum materials for advanced diagnostic platforms.• Collaborate with interdisciplinary researchers.• Synthesise and characterise nanomaterials and polymers.• Manage research activities and contribute to the group’s collaborative environment.Selection criteria:• PhD (or near completion) in organic chemistry, materials science, or nanotechnology. • Strong publication record and team collaboration skills.What we offer:Your wellbeing at work matters, so we offer a range of family friendly and financial benefits including:• An excellent contributory pension scheme• 38 days annual leave• A comprehensive range of childcare services• Family leave schemes• Cycle and electric car loan schemes• Employee Assistance Programme• Membership to a variety of social and sports clubs• Discounted bus travel and Season Ticket travel loans While this is a full-time role, we welcome applications from individuals who wish to be considered for part-time working or other flexible working arrangements.

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.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

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.