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ASU London

Assistant Professor in Engineering with Artificial Intelligence

London
£45k – £55k/yr
Posted about 18 hours ago
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Assistant Professor in Engineering with Artificial Intelligence

Salary: £45,000 - £55,000 per annum

Hours: Full Time

Contract: Permanent

Location: ASU London, EC1V

Jobs at ASU London

At ASU London, we’re creating an environment where bold ideas, practical learning, and global perspectives come together. Our team is growing, and we’re looking for people who want to make an impact in higher education.

About ASU London:

ASU London, a UK-accredited higher education institution founded by Arizona State University, is focused on new and innovative models of teaching and learning in the UK. It builds on the work of The Engineering & Design Institute London (TEDI-London), co-created by Arizona State University in 2020. ASU London incorporates TEDI-London’s innovative, project-based engineering programmes with new degrees in business and management, computer science, and electrical and electronic engineering. As ASU London enters its next phase of growth, scale, and institutional maturity, it will draw on the extensive resources, expertise, and global outlook 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.

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About the Role

We are recruiting to ASU London and we require staff to contribute across our Engineering and Engineering with Artificial Intelligence 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.

The role requires the following programme-specific expertise: 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.

Candidates will also need experience of teaching cyber security to Level 6.

About You

Qualifications / Professional Membership

  • Doctorate in relevant subject (or equivalent professional / industry experience)
  • PGCert in Learning & Teaching in HE or Equivalent
  • Fellowship of HEA (Descriptor 2 of UKPSF)

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Teaching & Learning

  • Deliver high-quality PG teaching, using varied methods and technologies.
  • Design modules and contribute to programme structure.
  • Lead modules of study and attend exam boards.
  • Supervise UG dissertations and PG taught projects.
  • Collaborate with partners on real-world projects.

Research, Scholarship &/or Practice

  • Establish independent research /practice profile.
  • Publish in peer-reviewed outlets.
  • Apply for small / medium funding.
  • Disseminate via conferences, exhibitions.

Knowledge Exchange & External Engagement

  • Build professional networks.
  • Apply research to external partnerships.
  • Present at conferences.

Academic Citizenship & Leadership

  • Take on departmental administrative duties (e.g., Admissions Tutor, Ethics Lead).
  • Support programme and curriculum management.
  • Work collaboratively across teams.

Closing date for applications: Monday 21st September 2026

Interested?

If you would like to find out more, please click the apply button. You will be directed to our online portal to complete your application for this position.

This role is exempt from the Rehabilitation of Offenders Act 1974.

In addition, you are required to submit to a Disclosure and Barring Service (DBS) check.

No agencies please.

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Skills

Artificial Intelligence
Machine Learning
Engineering Principles
Cyber Security
Computational Methods
Curriculum Design
Academic Research
Project-Based Learning
Higher Education Teaching
Student Supervision
Mathematics
Knowledge Exchange
Sustainability
Ethics in Engineering
Multidisciplinary Teamwork

Location

London, England, United Kingdom

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