Assistant / Associate Professor in Cyber Security / Artificial Intelligence / Computer Games De[...]

University of Khorfakkan
Liverpool
5 days ago
Applications closed

Related Jobs

View all jobs

Assistant/Associate Professor, Air Quality & Data Science

Research Assistant/Associate in Exoplanetary Remote Sensing and Data Science (up to 2 posts) (F[...]

Research Associate in Causal Machine Learning

Exoplanetary Remote Sensing & Data Science Postdoc

Research Associate in Data Compression in the Intersection of Machine Learning and Information Theory

Machine Learning Engineer New

Introduction

The University of Khorfakkan (UKF) is a young, ambitious, and rapidly growing public institution established under the vision and leadership of His Highness Sheikh Dr. Sultan bin Muhammad Al Qasimi. Located on the picturesque east coast of the UAE, UKF provides a unique academic environment where world‑class education meets breath‑taking natural surroundings.


As part of UKF's strategic expansion, the College of Computing and Intelligent Systems is emerging as a regional hub for innovation and excellence in Cybersecurity, Artificial Intelligence, and Computer Games Development. With state‑of‑the‑art laboratories, modern computing facilities, and strong institutional support for teaching and research, the College is committed to producing graduates who can contribute to the UAE's digital transformation and global technological leadership.


In line with this exciting growth, we are seeking highly motivated, forward‑thinking, and research‑active faculty who want to shape the future of computing education in the region. Joining UKF means becoming part of a dynamic academic community that values innovation, interdisciplinary collaboration, and impactful research aligned with national priorities such as digital security, AI adoption, and the creative industries.


Role Description

This full‑time, on‑site position at the University of Khorfakkan requires an Assistant/Associate Professor specializing in Cyber Security, Artificial Intelligence, Computer Games Development or Embedded Systems. The role involves conducting high‑quality teaching, mentoring, curriculum development, and guiding undergraduate and postgraduate students. The candidate will engage in innovative research, contribute to scholarly publications, and participate in academic committees, departmental activities, and community outreach.


Qualifications

  • A Ph.D. in Computer Science or a closely related discipline from a recognized and accredited institution. Preference will be given to graduates from internationally top‑ranked universities.
  • Demonstrated expertise in Cyber Security, Artificial Intelligence, or Computer Games Development, evidenced by strong academic achievements, professional contributions, and relevant scholarly activities.
  • Substantial teaching experience in higher education, with a proven ability to design, deliver, and assess engaging curricula that promote interactive, student‑centric, and innovative learning experiences.
  • A solid research profile, including publications in reputable peer‑reviewed journals, conference presentations, and evidence of ongoing scholarly engagement.
  • Excellent interpersonal, communication, mentorship, and teamwork skills, with the ability to collaborate effectively within a diverse academic environment.
  • Familiarity with contemporary pedagogical approaches and educational technologies that support effective teaching and learning is highly desirable.
  • Experience with academic program accreditation processes, quality assurance activities, and meaningful institutional service will be considered an asset.

Application Instructions

Applicants should submit:



  1. Cover letter outlining qualifications and interest.
  2. Curriculum vitae including publication list.
  3. Teaching philosophy and research statement.
  4. Contact information for three referees.


#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.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.