Senior Research Associate - Earth Observation Data Scientist

University of Bristol
London
1 year ago
Applications closed

Related Jobs

View all jobs

Research Associate / Senior Research Associate in Computer Vision and Machine Learning (Medical Imaging)

Artificial Intelligence Engineer

Data Scientist within Asset & Wealth Management (Senior Associate)

Data Scientist within Asset & Wealth Management (Senior Associate)

Applied AI and Machine Learning Scientist - Senior Associate

Lead Data Scientist

The role

Based in a world leading research team composed of members of the Visual Information Lab (VI-Lab) within the School of Computer Science at the University of Bristol, this is an exciting opportunity to join a strong group developing state of the art synthetic aperture radar (SAR) image processing and analysis technologies. You will be immersed within the AssenSAR team, which has over the last seven years designed AI systems for the detection and identification of ships in satellite SAR imagery in order to enable maritime traffic monitoring. The work will focus on the Celtic Sea, one of the most important areas for offshore wind in the UK.


What will you be doing?

You will be responsible for conducting cutting edge research in remote sensing image processing and AI to develop state-of-the-art SAR imaging algorithms. These will serve the purpose of mapping fishing and leisure vessels in the Celtic Sea and investigate their impact to offshore wind. You will collaborate with The Crown Estate and Celtic Sea Power, the two industrial project partners, and help improve their understanding of vessel density and location, which will be incredibly valuable for their planning of marine spatial and habitat restoration efforts.


You should apply if

The successful applicant will have:

A PhD in Computer Science, Electrical and Electronic Engineering, or Mathematics. Proven experience of signal/image processing and analysis techniques. Experience with Earth Observation systems Experience of programming using Python and Matlab and/or C++

Strong mathematical background.


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.