Research Assistant in Machine Learning for Wireless Networks

King's College London
London, United Kingdom
Yesterday
£43 pa

Salary

£43 pa

Job Type
Contract
Work Pattern
Full-time
Work Location
On-site
Seniority
Entry
Education
Degree
Visa Sponsorship
Available
Posted
28 Jul 2026 (Yesterday)

Benefits

10 days professional development per year (pro-rata) Potential for contract extension

About us

Recently re-founded, the Department of Engineering is rapidly expanding into a world-class research and teaching department. Research currently focuses on robotics, telecommunications and biomedical engineering, but we are looking to establish new research themes.

We offer both undergraduate and postgraduate teaching, with a distinctive approach, combining both traditional teaching methods with modern, project-based learning, catering for the needs of our students and the industries in which they will work.

As a new department we have invested in new laboratories and maker space at the centre of the Strand campus in the heart of central London.

For more information:https://www.kcl.ac.uk/engineering

About the role

Applications are invited for a position as a Research Assistant in Machine Learning for Wireless Networks at King’s College London.

You will be a conscientious, innovative scientist who has successfully completed a BSc (or equivalent) in computer science, Telecoms, and engineering including electrical/electronic engineering or similar. Experience in federated learning/deep reinforcement learning is preferred.

At King’s, you will join a research-leading and multi-disciplinary team led by Prof. Yansha Deng. You will be based in the Centre for Telecommunications Research group at the Department of Engineering.

The position is full-time until December 31st 2026, with potential for extension. The post is expected to start in Aug. 2026.

Research staff at King’s are entitled to at least 10 days per year (pro-rata) for professional development. This entitlement, from theConcordat to Support the Career Development of Researchers, applies to Postdocs, Research Assistants, Research and Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit theCentre for Research Staff Development for more information.

Related Jobs

View all jobs
Spotlight

Senior AI Engineer

Bodyswaps London, United Kingdom
Hybrid
Spotlight

Business Development Manager – New Business Sales

SenseAI Liverpool, Merseyside, United Kingdom
Hybrid

Research Assistant in Machine Learning (Fixed Term)

University of Nottingham Nottingham, Midlands Of England, NG2 3HX, United Kingdom
£32 pa On-site

Postdoctoral Research Assistant in Machine Learning

University of Oxford Oxford, South East England, United Kingdom
£39 – £47 pa Permanent

Research Assistant in AI for Medical Imaging

University of Cambridge Cambridge, South East England, United Kingdom
£33 – £35 pa Contract

Senior Research Assistant - Cell Biology

Relation Therapeutics London, United Kingdom
On-site

Research Assistant Tissue Profiling (12 Months)

Relation Therapeutics London, United Kingdom
On-site

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Is an AI Forward Deployed Engineer? The Fastest-Growing Job in AI for 2026

If you have been watching AI job boards over the past year, one title keeps surfacing again and again: the forward deployed engineer, or FDE. It has gone from a niche term known mainly to Palantir alumni to arguably the hottest role in the entire AI hiring market. Job postings for forward deployed engineers have exploded, salaries have climbed past levels most software engineers will ever see, and the biggest names in AI — OpenAI, Anthropic, Google, Salesforce, Databricks and Palantir — are all competing for the same small pool of talent. So what exactly is an AI forward deployed engineer, why has demand surged so dramatically, and how do you position yourself to land one of these roles? This guide breaks it all down for AI engineers, software engineers and data scientists looking at their next move.