Professor in Machine Learning and Artificial Intelligence

Computer Science

Location: Guildford
Salary: Competitive Salary
Post Type: Full Time
Closing Date: 23.59 hours BST on Sunday 11 June 2023
Reference: 025023

Come and join the Surrey Institute for People-Centered Artificial Intelligence (PAI). Work with our inspiring colleagues to shape the future of AI. The Institute represents a significant step towards a future in which trustworthy, responsible and inclusive AI brings positive change for all. This pan-University Institute brings together Surrey’s strength in pioneering AI foundations for over 30 years with leading expertise in arts, social, health and engineering sciences to address key global challenges for individuals and society. We are growing further and are looking to recruit two exceptional candidates who will join the School of Computer Science and Electronic Engineering as well as the Surrey Institute for People-Centred AI.

The appointed candidates will be outstanding research leaders with high levels of integrity, a collaborative attitude and a desire to bring their expertise to the benefit of the other team members. This role is Professor in Machine Learning and Artificial Intelligence aligned to Nature Inspired Computing and Engineering (NICE) research group. Find out more about the group here

The appointments are to provide research leadership within the School’s AI and Machine Learning activity. The successful candidate aligned to NICE is expected to have expertise in; Computational Intelligence (Optimisation Algorithms and Computational Modelling), Natural Language Processing and Data Science is desirable.

The role responsibility:

• Establishment and leadership of major research activities, initiating new areas of research, attracting funding and delivering impact. 
• Sustaining published research findings in primary international forums.
• Planning, co-ordinating and managing a significant programme of research.
• Supporting the work of colleagues and doctoral students.
• Leading innovative research proposals, submitting collaborative funding bids, winning support and planning the research to be taken.
• Contributing to teaching leadership and delivery at undergraduate and postgraduate level.
• Engaging in external academic activities in accordance with the Institute, School and faculty’s research strategy at a national level and international level.

Essential Skills Required

• A proven track record in academic leadership with a track record in securing external research grant income.
• World-class research performance including an exceptional and continuing publication record in a related field.
• Evidence of scholarly contributions to conferences and societies at an international level and other external activities.
• Evidence of delivering high-quality, inspirational teaching at undergraduate and continuous improvement of modules/units.

For a full list refer to the candidate pack.

Benefits

We offer a generous pension, relocation assistance, flexible working options including job share and blended home/campus working (dependent on work duties). Find out more about our benefits here  

The University of Surrey is committed to providing an inclusive environment that offers equal opportunities for all. We place great value on diversity and are seeking to increase the diversity within our community. Therefore we particularly encourage applications from under-represented groups, such as people from Black, Asian and minority ethnic groups and people with disabilities and any additional access requirements, and will ensure you have appropriate support in place throughout the process.

How to apply

With your application, please attach a full CV and complete the form evidencing how you meet the essential criteria. We encourage applications from UK as well as non-UK nationals.

For further information, Professor Ferrante Neri, Head of the NICE (f.neri@surrey.ac.uk ).

Closing deadline 23:59 Sunday 11th  June 2023 

Interview (Guildford) Friday 30th  June 2023.

Further details: Job Description