Lecturer/ Senior Lecturer (Cyber Security) - (7070)

Jobleads
Manchester
1 year ago
Applications closed

Related Jobs

View all jobs

Lecturer/Senior Lecturer in Artificial Intelligence

Lecturer / Senior Lecturer in Artificial Intelligence

Lecturer in Artificial Intelligence Education (AEP) x2

Lecturer in Artificial Intelligence Education (AEP) x2

Lecturer in Artificial Intelligence Education (Programme & Software Development (Academic Education

Lecturer in Artificial Intelligence (2 roles)

Manchester Metropolitan University is a pioneer of modern education since its origins in 1824 and sits in the top 200 young universities in the world. 30% of our research is considered world leading (4*) and 90% of our research impact is rated 'world leading' (4*) or 'internationally excellent' (3*). Located in the heart of Manchester, a globally recognised centre for digital media with a vibrant and rapidly expanding technology sector. We are proud that we are a TEF Gold Institution and the quality of our apprenticeship education has been rated as Outstanding by OfSTED.


The Department of Computing and Mathematics is a successful academic community of students and staff committed to achieving high-quality teaching, research and enterprise. The Department delivers courses to over 1500 students and has over 70 members of academic staff with ambitious plans for growth.


Our ethos is to be highly innovative in teaching and we are recognised as the sector leader in Degree Apprenticeships where we deliver the award-winning Digital and Technology Solutions programme in collaboration with a wide range of companies. We are a founding member of the National Institute of Coding.


The Department has a long track record of obtaining research council funding and has a growing portfolio of projects, much of this grounded in our work with the region's vibrant digital sector.


Research in the department is distributed across five main themes:

  • Machine Intelligence
  • Data Science
  • Smart Infrastructure & Cyber Security
  • Human-Centred Computing
  • Computational Modelling


For this post, we are looking for candidates with expertise in one of the following areas:

  • Cryptography, quantum encryption, or secure quantum communications
  • OT (Operational Technology) security / ICS (Industrial Control System) security
  • Trust, identity or privacy


We offer flexible working arrangements, such as flexible hours and compressed hours.


Role

You will be a passionate academic with an excellent and accelerating profile in research and knowledge exchange. You will provide academic leadership in curriculum and research development and act as a role model and mentor to early career academics within the department.


Ideal Candidate

We are seeking applicants who have expertise in the field of Cyber Security either through academic research or professional practice. You will:

  • have in-depth knowledge of current Cyber Security tools and techniques.
  • be expected to have higher education level teaching or mentoring experience in Cyber Security, and have a PhD in Computer Science or a related discipline or have the equivalent industrial experience in Cyber Security.
  • be a strong collegiate team player with the ability to impassion and motivate student/staff communities through your contributions, collaboration and co-creation.


To arrange an informal discussion, please email: Professor Darren Dancey D.D


To Apply:

To apply, please submit aCV and covering letteroutlining, in particular, how your profile, experience and ambition make you the ideal candidate for the role.


Manchester Met University is committed to creating an intentionally inclusive culture of belonging that promotes equity and celebrates diversity. We understand the importance of having a diverse workforce and the benefits it can bring to ensuring diversity of thought and innovation in everything we do. We, therefore, encourage applications from our local and international communities, in particular people from ethnic minority groups, disabled people and people who identify as LGBTQIA+. We recognise the benefits and importance of an environment that supports flexible working and are open to conversations about this throughout the application process.

#J-18808-Ljbffr

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.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

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.