Tutor (Research) Artificial Intelligence and Digital Art

Royal College of Art; Greater London; On-site; GBP 42,000 - 62,000; Full time

Job summary

The Royal College of Art invites applications for a Tutor (Research) to lead teaching in Creative Coding within the MA/MFA AI and Digital Art AiDA programme. You will guide students in programming and computational thinking, and introduce machine learning, generative AI, and agentic AI.

You will shape the studio-learning environment with diverse postgraduate artists, exploring how AI systems are constructed, data biases, and how artistic practice can reinterpret these technologies.

Qualifications

• Advanced programming skills with emphasis on creative coding and AI/ML.
• Strong research profile in computational art or related field.
• Experience communicating complex technical concepts to postgraduate students.]
• Evidence of high-quality postgraduate teaching and research excellence.

Responsibilities

• Lead teaching in Creative Coding for the MA/MFA AiDA programme.
• Develop and deliver curriculum, supervise students and assess progression.
• disseminate research and contribute to program development and funding opportunities.

Skills

Creative coding

AI/ML methods

Programming

Communication

Education

PhD or equivalent

Tools

Python

TensorFlow

PyTorch

Job description

The Royal College of Art (RCA) is the world’s leading university for art and design, ranked number one globally for 12 consecutive years (QS World University Rankings by Subject, 2015–2026). We are a postgraduate-only university with a rich history of creative innovation and a global community of artists, designers, researchers and practitioners.

We are seeking an established computational researcher, creative technologist or artist with expertise in creative coding, machine learning and artificial intelligence to join our MA/MFA Artificial Intelligence and Digital Art (AiDA) programme as a Tutor (Research).

About the role

This is an exciting opportunity to shape how the next generation of artists engage critically and creatively with AI. You will lead teaching in Creative Coding, developing students’ programming skills and computational thinking while supporting their progression into more advanced areas, including machine learning, generative AI and agentic AI.

Working with postgraduate artists from diverse disciplinary and technical backgrounds, you will help students explore how AI systems are constructed, how data and models can embed cultural assumptions and biases, and how artistic practice can challenge, reinterpret and reconfigure these technologies.

You will bring emerging developments in AI and computation into the studio, encouraging experimentation across creative coding, photography, installation, performance, robotics, software, moving image and networked media. You will also contribute to curriculum development, student supervision, assessment and the wider research culture of the programme.

As a research-active academic, you will develop and disseminate your own research, contribute to funding opportunities and help strengthen the RCA’s reputation for innovative, critical and artist-led approaches to emerging technologies.

About you

You will have advanced programming skills and expertise in creative coding, contemporary AI or machine-learning methods, alongside a strong research profile in computational art or a related field. You will be able to communicate complex technical concepts clearly and inspire postgraduate artists with varying levels of technical experience.

You will bring a critical understanding of AI, including the cultural assumptions, representation and bias embedded in data and models, as well as a commitment to inclusive, supportive learning environments. A doctorate or equivalent professional or academic achievement is required, together with evidence of high-quality postgraduate teaching and research excellence.

At the RCA, you will join a collaborative, interdisciplinary community where art, technology and critical thinking come together to challenge conventions and imagine new possibilities.

Contract: Permanent & full time, subject to a two-year probationary period.

Help us shape the future of creative practice and AI at the world’s leading university for art and design.

Closing for applications at 11.59pm on Wednesday 4th November 2026