Lecturer/Senior Lecturer (Artificial Intelligence)

The Department of Computing and Mathematics is a large and successful academic community of students and staff in the Faculty of Science and Engineering that is committed to achieving high-quality teaching, research and enterprise. The Department delivers courses to over 1500 students across Undergraduate, and Postgraduate programmes and has over 70 members of academic staff with ambitious plans for growth.

The Centre for Advanced Computational Science (CfACS) is a University's strategic research and knowledge exchange centre focusing on Artificial Intelligence (AI), Machine Learning, Data Science, AI ethics, Cyber Security, Mathematical and Computational Modeling and their cross-sector applications.

Our ethos is to be highly innovative in both teaching and research. Our vision to provide the current and future needed talents and workforce in the transforming economy and society. We are recognised as the sector leader in Degree Apprenticeships where we deliver the Digital and Technology Solutions programme in collaboration with a wide range of companies including multinationals and SMEs. We are a founding member and one of five theme leads of the National Institute of Coding, a consortium of 34 universities and over 100 companies and outreach organisations, that is driving teaching innovation in digital skills education to address the digital skills gap. We are the leading partner for major ERDF projects – AI Foundry and Cyber Foundry.

The Centre for Advanced Computational Science (CfACS) conducts world-leading research in computer science, distributed across five main themes:

• Machine Intelligence
• Data Science
• Smart Infrastructure & Cyber Security
• Human-Centred Computing
• Computational Modelling

Role

You will be a passionate educator who fully understands the pedagogic approaches needed to deliver excellent student experience and learning opportunities on the undergraduate and postgraduate courses you will teach. You will also be a innovative scientist who is passionate of using research to advance the knowledge in the filed and applying the knowledge to drive the transformation of economy and society. As an academic you will have the ability to flexibly balance teaching, and research and knowledge exchange.

Ideal Candidate

We are seeking applications from individuals who have expertise in the field of AI, machine learning and the innovative applications of AI in healthcare, digital health, clinical data analytics, and health informatics. You will have in-depth knowledge of the state of arts in research and the current tools and techniques used in both research and teaching.

You will be expected to have higher education level teaching or mentoring experience in Computer Science, and have a PhD on AI or relevant subjects. Industrial experience or experience in working within NHS digital or PHE sector will be valuable to this role. You will be a strong collegiate team player with the ability to impassion and motivate student staff communities through your contributions, collaboration and co-creation.

To arrange an informal discussion, please email: Professor Yonghong Peng ([email protected]) To apply, please submit a CV and covering letter outlining, in particular, how your profile, experience and ambition make you the ideal candidate for the role.