Assistant Professor (Teaching Focussed) in Applied AI and Robotics
| Posting date: | 17 February 2026 |
|---|---|
| Salary: | £47,389 to £56,535 per year |
| Hours: | Full time |
| Closing date: | 10 March 2026 |
| Location: | Warwick University, Coventry |
| Remote working: | Hybrid - work remotely up to 2 days per week |
| Company: | University of Warwick |
| Job type: | Contract |
| Job reference: | 110984-0226 |
Summary
WMG is seeking to appoint an Assistant Professor (Teaching) with experience in delivering and/or developing modules in Applied Artificial Intelligence, Robotics and practice-led digital technologies.
We welcome candidates with strong expertise in areas such as:
Machine learning and deep learning using PyTorch or TensorFlow
Computer Vision (CV), Natural Language Processing (NLP), and Generative AI
Model deployment (MLOps), explainable AI (XAI), and advanced techniques such as transformers and GANs
Application of AI to real-world domains such as manufacturing, healthcare, business, and sustainability
AI-enabled robotics, intelligent automation, autonomous or cyber-physical systems
This role is on the University of Warwick Teaching Career Pathway, providing opportunities for advancement up to and including Professor level. This is an education focussed appointment and we are looking for candidates who can demonstrate experience of teaching in higher education and a passion for impactful education and positive student outcomes. Candidates with a track record in research outputs but limited educational experience are unlikely to be shortlisted for this role.
There is significant growth in demand for our education programmes and this is an exciting opportunity for you to develop your professional profile and work as part of a world- renowned education group. In return we will provide a great range of benefits which includes membership of the USS pension scheme, 30 days holiday plus bank holidays and Christmas closure, and excellent learning and development opportunities.
About You
The successful candidate will support the delivery and development of AI-, robotics- and related digital technologies modules with a strong applied and practice-led focus.
We are particularly interested in applicants with knowledge of deep learning and modern AI techniques, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), transformers, GANs, and AI agents / agentic AI.
Experience applying these techniques in practical, real-world contexts such as computer vision, natural language processing, autonomous or intelligent systems, robotics, or industrial and digital technology use cases is highly desirable.
Familiarity with MLOps pipelines, explainable or ethical AI, and deploying AI models in applied environments would be an advantage.
For roles at Assistant Professor level, the successful candidate will hold a doctorate, or equivalent professional qualification alongside a postgraduate degree, and have experience of teaching in a higher education or professional education context.
We welcome candidates with strong expertise in areas such as:
Machine learning and deep learning using PyTorch or TensorFlow
Computer Vision (CV), Natural Language Processing (NLP), and Generative AI
Model deployment (MLOps), explainable AI (XAI), and advanced techniques such as transformers and GANs
Application of AI to real-world domains such as manufacturing, healthcare, business, and sustainability
AI-enabled robotics, intelligent automation, autonomous or cyber-physical systems
This role is on the University of Warwick Teaching Career Pathway, providing opportunities for advancement up to and including Professor level. This is an education focussed appointment and we are looking for candidates who can demonstrate experience of teaching in higher education and a passion for impactful education and positive student outcomes. Candidates with a track record in research outputs but limited educational experience are unlikely to be shortlisted for this role.
There is significant growth in demand for our education programmes and this is an exciting opportunity for you to develop your professional profile and work as part of a world- renowned education group. In return we will provide a great range of benefits which includes membership of the USS pension scheme, 30 days holiday plus bank holidays and Christmas closure, and excellent learning and development opportunities.
About You
The successful candidate will support the delivery and development of AI-, robotics- and related digital technologies modules with a strong applied and practice-led focus.
We are particularly interested in applicants with knowledge of deep learning and modern AI techniques, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), transformers, GANs, and AI agents / agentic AI.
Experience applying these techniques in practical, real-world contexts such as computer vision, natural language processing, autonomous or intelligent systems, robotics, or industrial and digital technology use cases is highly desirable.
Familiarity with MLOps pipelines, explainable or ethical AI, and deploying AI models in applied environments would be an advantage.
For roles at Assistant Professor level, the successful candidate will hold a doctorate, or equivalent professional qualification alongside a postgraduate degree, and have experience of teaching in a higher education or professional education context.