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

Apply Now

Research Assistant or Postdoctoral Research Assistant

Queen Mary University of London
London Borough of Tower Hamlets
1 year ago
Applications closed

Related Jobs

View all jobs

University Assistant or Associate Professor (Honorary Consultant) in Artificial Intelligence for Cli

Postdoctoral Data Scientist Engineer for the Quantitative Neuroradiology Initiative

Research Assistant In AI & Machine Learning

Research Assistant/Research Fellow in Cancer Healthcare Epidemiology / Data Science

Research Assistant in Health Data Science and Innovation

Research Assistant / Research Fellow in Epidemiology/Data Science

About the Role

The School of Electronic Engineering and Computer Science seeks to recruit a Research Assistant or Postdoctoral Research Assistant in Intelligent Decision Making and Autonomous System Management, to work on decision-making systems in electromagnetic warfare. This is a collaborative project between the Machine Intelligence and Decision Systems (MInDS) group led by Dr Anthony Constantinou, and the Antennas & Electromagnetics group led by Prof Akram Alomainy. The project is funded by the Defence Science and Technology Laboratory (Dstl) through the Electromagnetic Environment (EME) Hub.

About You

Applicants at the RA level must have a MSc in Computer Science or related field. Applicants at the PDRA level must have a PhD in Computer Science or a related field. Expertise in intelligent decision-making under uncertainty is essential, relevant areas include influence diagrams, causal Bayesian networks, causal discovery/machine learning, Markov decision processes, decision theory, simulation Applicants are expected to broaden their knowledge in autonomous electromagnetic defence systems to evaluate the effectiveness.

About the School of EECS

Our researchers work with the arts and sciences collaborating with psychologists, biologists, musicians and actors, mathematicians, medical researchers, dentists and lawyers. As a multidisciplinary School, we are well known for our pioneering research and pride ourselves on our world-class projects. We are equal first in the UK for the impact of our Computer Science research, and second in the country for our Electronic Engineering research output (REF 2021).

About Queen Mary

Throughout our history, we’ve fostered social justice and improved lives through academic excellence and we embrace diversity of thought in everything we do. We believe that when views collide, disciplines interact, and perspectives intersect, truly original thought takes form.

Benefits

We offer competitive salaries, pension scheme, 30 days’ leave per annum (pro-rata for part-time/fixed-term), a season ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment policies, flexible working arrangements, and campus facilities including an on-site nursery at the Mile End campus.

The post is based at the Mile End Campus in London. It is a full-time, fixed term appointment for 30 months or until 31 December 2026, whichever is sooner. With an expected start date of July 2024 or as soon as possible thereafter. The starting salary will be Grade 4, in the range of of £36,572 - £37,182 for a RA and £40,223 - £44,722 for PDRA per annum, inclusive of London Allowance.

Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. We have policies to support our staff throughout their careers, including arrangements for those who wish to work flexibly or on a job share basis, and we provide support for those returning from long-term absence. We particularly welcome applications from under-represented (BAME) groups, and from women in all stages of life, including pregnancy and maternity leave.

Candidates are kindly requested to upload documents totaling no more than 10 pages; certificates, references and research papers should not be provided at this stage.

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.

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.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.