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

Apply Now

Data Security Researcher

Fujitsu
Slough
8 months ago
Applications closed

Related Jobs

View all jobs

Lead R Engineer / Data Scientist - Integrated Pest Management (IPM)

Lead R Data Scientist - Sustainability

Metering Data Scientist

Technology Risk Senior Manager

Principal Naval Architect

Principal Naval Architect

Fujitsu Research of Europe

Senior Researcher Social Trust

Slough


Are you someone who enjoys using your research mindset to explore and innovate? Do you want to shape your world and change the way it works? Do you want to collaborate with committed people and achieve results together to develop truly human centric innovation? Are you someone who is interested in creating innovative solutions using core techniques to solve real market problems around Social Cybersecurity from either technical or socio-technical side? If this is your world, here is an opportunity to shape it for the better.


At Fujitsu Research of Europe (FRE), we are combining research and industrial innovation to transform businesses and society. FRE is a multidisciplinary centre which, as part of Fujitsu’s global R&D activity, conducts research and innovation – shaping our world for the better as well as supporting the constant learning of our employees.


Your Role


We are seeking a highly motivated and talented research scientist to work on our Social Cybersecurity technologies in our Data and Security Laboratory at Slough. This pivotal role will focus on advancing fundamental technologies from disinformation detection/countermeasures, cognitive security, and federated AI agents. We value individuals with a vision to pick up new knowledge, see through complex scenarios and arrive at simple, elegant yet workable solutions. A self-driven nature, creativity, strong communication skills, and attention to detail, are traits of a successful researcher in this role. Your role will involve the following:


  • Conducting research on Social Cybersecurity methods to enhance and verify the trustworthiness of online information with related advanced technologies like disinformation detection/countermeasure and cognitive security


  • Development of one or more of the following technologies,

1.Disinformation detection/countermeasure

2.Cognitive security with personalized AI agent

3.Federated AI agents with privacy-preserving learning and operation


  • Conducting experiments and data analysis to evaluate the effectiveness of research findings on simulations and real applications
  • Publishing findings in renowned scientific journals and conferences, while also showcasing achievements through presentations at invited talks, conferences, and workshops
  • Integrating various stages of technologies, from early stage in-house-developed to commercially available software, to realize impactful solutions
  • Fostering collaboration across interdisciplinary teams, including esteemed professors, to propel research endeavors forward


Your Required Experience:


A PhD in Computer Science, Mathematics, or other related field

  • Expert-level knowledge in one or more these areas: LLM, machine learning, federated learning, network systems, cognitive security
  • Strong track record of publishing research in top-tier conferences and journals
  • Strong expertise in developing downstream tasks in AI agent and related security


Your Welcome Experience:

  • Experience in rapid prototyping and testing methodologies to validate the functionality and performance of developed solutions
  • Experience in integrating multiple technologies from multiple research domains, including AI, security and network
  • Designing and prototyping applications combining a variety of tools and platforms
  • Experience in machine learning programming written in Python and/or web frontend programming written in TypeScript
  • Experience in interdisciplinary research collaborations
  • Experience in formal methods, proofs and cryptographical systems design


Achieve together

We are Fujitsu. A Japanese company with a strong set of values and a history of respecting fairness and equality, whilst promoting diversity and inclusion. We want you to thrive. If working for a progressive organization, with an active people-led Inclusive Community, demonstrating our commitment to diversity, equity and inclusion and equity, you belong at Fujitsu. #LifeatFujitsu

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.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.

The Best Free Tools & Platforms to Practise AI Skills in 2025/26

Artificial Intelligence (AI) is one of the fastest-growing career fields in the UK and worldwide. Whether you are a student exploring AI for the first time, a graduate looking to build your portfolio, or an experienced professional upskilling for career growth, having access to free tools and platforms to practise AI skills can make a huge difference. In this comprehensive guide, we’ll explore the best free resources available in 2025, covering AI coding platforms, datasets, cloud tools, no-code AI platforms, online communities, and learning hubs. These tools allow you to practise everything from machine learning models and natural language processing (NLP) to computer vision, reinforcement learning, and large language model (LLM) fine-tuning—without needing a huge budget. By the end of this article, you’ll have a clear roadmap of where to start practising your AI skills for free, how to build real-world projects, and which platforms can help you land your next AI job.

Top 10 Skills in Artificial Intelligence According to LinkedIn & Indeed Job Postings

Artificial intelligence is no longer a niche field reserved for research labs or tech giants—it has become a cornerstone of business strategy across the UK. From finance and healthcare to manufacturing and retail, employers are rapidly expanding their AI teams and competing for talent. But here’s the challenge: AI is evolving so quickly that the skills in demand today may look different from those of just a few years ago. Whether you’re a graduate looking to enter the industry, a mid-career professional pivoting into AI, or an experienced engineer wanting to stay ahead, it’s essential to know what employers are actually asking for in their job ads. That’s where platforms like LinkedIn and Indeed provide valuable insight. By analysing thousands of job postings across the UK, they reveal the most frequently requested skills and emerging trends. This article distils those findings into the Top 10 AI skills employers are prioritising in 2025—and shows you how to present them effectively on your CV, in interviews, and in your portfolio.