Assistant Professor (Lecturer) / Associate Professor (Senior Lecturer / Reader) - Engineering with Artificial Intelligence

computer science and electrical and electronic engineering. With new course offerings and a new strategic plan, ASU London is entering a new phase of growth, scale and institutional maturity, leveraging the extensive resources of Arizona State University. For UK students, ASU London offers the opportunity to gain two international degrees and to graduate and work in the US. And for US students, ASU London offers the opportunity to travel and learn abroad in a global city. For ASU London employees, tapping into the vast expertise and innovation from the #1 university for innovation in the US, 11 years running, and ranked in the top 1% globally, will allow for both personal and professional development opportunities. Arizona State University is widely recognised as one of the world’s leading and most innovative universities and renowned for its global outlook, employability, sustainability, applied learning, and strong links to industry. ASU London brings this prestige, ambition and academic philosophy into the UK system, creating a distinctive institution with international reach and long-term backing. OUR VALUES – Inclusive – Collaborative – Inspiring – Courageous – Integrity Our values underpin our developing culture, ethical focus and approach to decision making. You will be able to role model and champion these values along with all staff within ASU London, providing challenge and open discussion to ensure we do so all of the time. ABOUT THE VACANCY We are recruiting to ASU London and we require staff to contribute across all of our Engineering, Business and Management and Computer Science programmes. Academics teaching on our programmes should generally be skilled in guiding students through real‑world challenges, supporting multidisciplinary teamwork, and using industry‑standard tools and workflows given the highly practical, project‑based pedagogy we have. They should be confident embedding sustainability, ethics, inclusivity, and responsible innovation into their teaching, reflecting the programme’s emphasis on professional identity and societal impact. In particular the knowledge for each programme requires is: BEng Engineering with Artificial Intelligence : Candidates will need strong foundations in engineering principles, mathematics, computational methods, and the application of AI and machine learning to real‑world engineering problems. They should also be capable of fostering students’ research capability, technical fluency, and confidence in applying AI‑enabled engineering solutions across the curriculum. HOW TO APPLY If you wish to apply, please download our application form and send your application in addition to your CV via the ‘Apply’ button above (e: careers@asu-london.ac.uk ) We welcome applicants seeking fractional/part time roles and urge people to apply early as we have the right to interview and appoint early. Please specify clearly in your email subject the role you wish to be considered for and for which level. Should you wish to discuss the role further or for details on how to progress your application, please direct all enquiries to Peter Kay, Associate Dean of Academic Engagement and Partnership- peter.kay@asu-london.ac.uk BENEFITS Core terms Working days per annum 260 Holiday entitlement 28 days Closure days Additional 5 days (Christmas/New Year) plus identified statutory/ bank holiday days Buying holiday Up to 10 days may be bought, 5 days maximum may be sold Holiday year runs 1 January – 31 December each year Pension incl. life insurance and permanent health insurance, employer contribution up to 10% Life Insurance 4x Annual Salary Hours of work per week 40 hours, a standard day is 8 hours. There may be a requirement for evening or weekend working for identified roles. Location: London Salary: £45,000 to £65,000 Per Annum Hours: Full Time Contract Type: Permanent Placed On: 3rd February 2026 Closes: 25th February 2026