Senior Lecturer in Cyber Security

Esrc IAA University of Surrey
Guildford
3 days ago
Create job alert

Senior Lecturer in Cyber Security

The School of Computer Science and Electronic Engineering is seeking to recruit a full-time Senior Lecturer in Cyber Security to expand our team of dynamic and highly skilled security researchers. It is part of a strategic investment in cyber security, alongside a Lecturer position in cyber security.


The Surrey Centre for Cyber Security (SCCS), within the School, has an international reputation in cyber security and resilience research excellence in applied and post-quantum cryptography, security verification and analysis, security and privacy, distributed systems, and networked systems. SCCS is recognised by the National Cyber Security Centre as an Academic Centre of Excellence for Cyber Security Research and Education. Its research was also a core contributor to Surreys 7th position in the UK for REF2021 outputs within Computer Science. Surrey was recognised as Cyber University of the Year 2023 at the National Cyber Awards.


Surrey has an internationally leading track record in security and communications research and runs the newly formed Doctoral Training centre in Future Open Secure and Resilient Communications in collaboration with Queens University Belfast with funding for 50 PhD students.


This post sits within SCCS and this role encourages applications in the areas of systems security, web security, cyber-physical systems, cyber resilience, ethical hacking, machine learning for security, with application in various domains with preference in communications, space, banking, and autonomous systems. Candidates with practical security experience and skills will complement our strengths in cryptography and formal verification.


This post will support the growing cohort of students across all undergraduate Computer Science programmes and support students in the highly successful MSc in Cyber Security.


As a Senior Lecturer, the postholder is expected to have demonstrated an independent international profile, evidence of contributing and leading successful applications for research funding, and some experience of research student supervision. The postholder will also have experience of effective curriculum and assessment design, ideally with experience of teaching practical security topics such as digital forensics, network security, malware security, offensive security, and/or real-world applications security.


What we can offer

The postholder will benefit from the support of colleagues within the School and across the University to develop their careers. The Universitys welcoming community recognises the need to nurture its staff and to help them build a flourishing career. You will also have an opportunity to join the many emerging pan-university institutes supporting the growth of cross-disciplinary research and training in which security research will feature prominently.


In addition to salary, you will receive a yearly incremental pay rise, generous annual leave entitlement of 30 days holiday plus 7 university closure days and 8 bank holidays (pro rata for part time roles), a generous pension, access to world-class leisure facilities on campus, a range of travel schemes, and supportive family friendly benefits including an excellent on-site nursery.


Additional Information

Interviews are planned to take place on 3rd April, 2025.


For informal enquiries, please contact Professor Steve Schneider, .


The University of Surrey is committed to providing an inclusive environment that offers equal opportunities for all. We place great value on diversity and are seeking to increase the diversity within our community. Therefore, we particularly encourage applications from under-represented groups, such as people from Black, Asian and minority ethnic groups and people with disabilities.


Our strategy and mission

Surrey recently launched its Vision 2041 strategy that produces graduates and research outcomes that enrich lives, transform society and create change for a better world.

J-18808-Ljbffr

Related Jobs

View all jobs

Lecturer / Senior Lecturer

SENIOR DATA SCIENTIST - Computer Vision / Generative AI HYBRID

Senior Go Developer

Senior Data Delivery Project Manager - Insurance/Financial Services

Senior Computational Chemist

Senior PySpark Developer

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

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

Global vs. Local: Comparing the UK Machine Learning Job Market to International Landscapes

How to evaluate opportunities, salaries, and work culture in machine learning across the UK, the US, Europe, and Asia Machine learning (ML) has rapidly transcended the research labs of academia to become a foundational pillar of modern technology. From recommendation engines and autonomous vehicles to fraud detection and personalised healthcare, machine learning techniques are increasingly ubiquitous, transforming how organisations operate. This surge in applications has fuelled an extraordinary global demand for ML professionals—data scientists, ML engineers, research scientists, and more. In this article, we’ll examine how the UK machine learning job market compares to prominent international hubs, including the United States, Europe, and Asia. We’ll explore hiring trends, salary ranges, workplace cultures, and the nuances of remote and overseas roles. Whether you’re a fresh graduate aiming to break into the field, a software engineer with an ML specialisation, or a seasoned professional seeking your next challenge, understanding the global ML landscape is essential for making an informed career move. By the end of this overview, you’ll be equipped with insights into which regions offer the best blend of salaries, work-life balance, and cutting-edge projects—plus practical tips on how to succeed in a domain that’s constantly evolving. Let’s dive in.

Machine Learning Leadership for Managers: Strategies to Motivate, Mentor, and Set Realistic Goals in Data-Driven Teams

Machine learning (ML) has become an indispensable force in the modern business world, influencing everything from targeted marketing campaigns to advanced medical diagnostics. As industries integrate predictive algorithms and data-driven decision-making into their core operations, the need for effective leadership in machine learning environments has never been greater. Whether you’re overseeing a small team of data scientists or spearheading an enterprise-scale ML project, your leadership style must accommodate rapid innovation, complex problem-solving, and diverse stakeholder expectations. This guide provides actionable insights into how you can motivate, mentor, and establish achievable goals for your machine learning teams—ensuring they thrive in data-driven environments.

Top 10 Books to Advance Your Machine Learning Career in the UK

Machine learning (ML) remains one of the fastest-growing fields within technology, reshaping industries across the UK from finance and healthcare to e-commerce, telecommunications, and beyond. With increasing demand for ML specialists, job seekers who continually update their knowledge and skills hold a significant advantage. In this article, we've curated ten essential books every machine learning professional or aspiring ML engineer in the UK should read. Covering foundational theory, practical implementations, advanced techniques, and industry trends, these resources will equip you to excel in your machine learning career.