As an Associate Professor you will have a substantial national and growing international reputation in Cyber Security and will make a significant impact on research and teaching.

You will undertake research, both individually and collaboratively, that complements the existing interests and activities of the CybSec group. You will seek and secure funding through the development of your own research proposals and be active in research and knowledge exchange projects both internally and externally. You will act as principal investigator on major research projects, taking an active role in supervising postdoctoral researchers and responsibility for new research and other initiatives linked to your area of expertise. You will review and interpret research project outcomes, publishing in high-impact venues.

You will have the ability to deliver high quality teaching through a variety of methods to support the School’s teaching requirements, with a focus on your area of cyber security. You will be responsible for the development of content and structure of existing and new teaching as part of the overall curriculum and at both undergraduate and postgraduate levels.

See our recruitment microsite (https://www.nottingham.ac.uk/computerscience/work-with-us/index.aspx) for more information on our School's vision, research profile, and position within university strategy. 

Our vision as a School is to be highly rated in all areas: Research and Knowledge Exchange, Education and Student Experience, People and Culture. We are committed to creating opportunities for people from groups traditionally under­represented in the field of Computer Science and therefore the ability to relate to and mentor students and colleagues within an increasingly ethnically and gender diverse community is essential.

At the University of Nottingham, we aim to give you all the support you need to nurture your talent, develop, and reach your professional and personal career goals. You will have access to a range of benefits and rewards, including leading fitness and health facilities, staff discounts and travel schemes, along with a generous holiday allowance.

This is a permanent position. Hours of work are full-time (36.25 hours). We are willing to discuss flexible working arrangements. Job share arrangements may be considered. 

Ensure your CV and supporting statement are uploaded before submitting your application

Informal enquiries may be addressed to Professor Steven Furnell at steven.furnell@nottingham.ac.uk. Please note that applications sent directly to this email address will not be accepted.

For more details and/or to apply on-line please click here. If you are unable to apply on-line please contact the Human Resources Department, tel. 0115 9515206 please quote ref 83023

Closing Date: 25 May 2026
Category: Research and Teaching (R&T)

This studentship is fully funded for 3.5 years from 1^st October 2026. (Home applicants only).

In this Ph.D. project, you will advance this research field by investigating how to develop, design, and evaluate domain specific multi-agentic AI models and systems that can plan and execute tasks with multi-modal heterogeneous data (e.g. text, location, and images), associated with diverse applications, such as earth observation, climate, and phenotyping. Developed models will be tested for a variety of highly relevant problems in agriculture, like crop type classification, crop yield forecasting, field boundary delineation, crop disease, and crop failure detection. The Ph.D. research builds upon recent advancements in multi-agentic AI systems. Processing and integrating multiple data modalities will also be key to the research objective of developing dynamic and intelligent systems that provide further insight into modern agricultural applications and food security problems.

You will work with an interdisciplinary and international team of experts in artificial intelligence (e.g. computer vision, deep learning, AI) and green life sciences (e.g., remote sensing, crop modelling, and food security), within the European funded project AgriscienceFM (Horizon programme), which has recently been awarded by the European Commission. For information about this project can be found here: https://www.agriscience.fm 

Your duties and responsibilities: 

• Familiarise with the state-of-the-art in multi-agentic AI, and how to interact with external models and tools.
• Design, develop, and evaluate multi-agentic AI model architectures to gain and improve our insights in agriculture from analysing multi-modal data.
• Use Anthropic and/or OpenAI APIs.
• Perform large-scale training and testing on an HPC server.
• Disseminate the research results by writing papers and presenting your work at international conferences.
• Collaborate with other project partners in joint tasks, and contribute to the overall project success.

You will be supervised by Valerio Giuffrida (see email below) and one other member of the academic staff within CVL.

What are we looking for?

You are highly motivated, self-driven, and curious to advance use-inspired artificial intelligence methods. You bring along your enthusiasm to work in a highly dynamic, international team towards a common objective. 

In addition: 

• A successfully completed BSc/MSc degree in computer science, artificial intelligence or engineering, or a similar relevant field.
• Proficiency in programming in Python and experience in PyTorch, Scikit-Learn or related modern machine learning libraries.
• Some working knowledge of using Anthropic/OpenAI APIs.
• Good writing skills, or contributions to scientific papers.

Funding

Annual tax-free stipend based on the UKRI rate (£21,805 for 2026/27) plus fully-funded Home PhD tuition fees for the 3.5 years.

Entry Requirements

2:1 Bachelor or Masters degree or international equivalent in computer science, artificial intelligence, or engineering (or related discipline). Studentships are open to home students only. 

Application Process

Applications to be informally made direct to the Valerio Giuffrida Valerio Giuffrida at valerio.giuffrida@nottingham.ac.uk first.

Post interview, application to be made through the MyNottingham system stating the supervisor’s name and project title. The deadline to have completed and submitted your formal application is Friday 29^th May 2026. 

Enquiries to be directed to: Valerio Giuffrida - valerio.giuffrida@nottingham.ac.uk

Closing Date: 29 May 2026
Category: Studentships