Publisher
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University of Ulster

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PhD in Advanced AI and Cognitive Robotics for Sustainable and Resilient Industries Ulster University in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Competition funded PhD project (students worldwide). Funding details beyond competitive funding are not specified in the post.

Deadline

Jan 8, 2027

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Country

United Kingdom

University

University of Ulster

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Keywords

Computer Science
Environmental Science
Agriculture
Systems Engineering
Mechanical Engineering
Electrical Engineering
Artificial Intelligence
Industry 4.0
Industrial Engineering
Human-computer Interaction
Computer Vision
Robotics
Cognitive Robotic
ML

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About this position

PhD opportunity: Advanced AI and Cognitive Robotics for Sustainable and Resilient Industries at Ulster University, Faculty of Computing, Engineering and the Built Environment, in Belfast, United Kingdom.

This project sits at the intersection of artificial intelligence, cognitive robotics, machine learning, computer vision, human-computer interaction, and systems engineering. The research team is developing autonomous and intelligent robotic systems to address operational and environmental challenges in modern agriculture and manufacturing, with a strong emphasis on sustainability, resilience, and human-centric Industry 5.0 approaches.

Applicants can choose one of three embedded research directions:

1) AI-Driven Robotics for Sustainable Precision Agriculture — vision-based autonomous robotics for highly targeted resource management, such as spot-spraying weeds, with the goal of reducing herbicide use and overcoming challenges in visual complexity and high-speed precision actuation.

2) LLM-Integrated Robotics for Industry 5.0 — human-robot collaboration research that uses large language models to help legacy robots understand natural language instructions through a translation framework.

3) AI-Enabled Predictive Robotics Framework for Resilient Manufacturing — robot-assisted predictive maintenance using sensor data to forecast remaining useful life and schedule safe interventions to maximise factory uptime.

The listed supervisors are Dr Dermot Kerr, Dr Justin Quinn, Dr Nazmul Siddique, and Dr Deepika Nikam. Supervisory chairs for the three project options are Dr Justin Quinn, Dr Nazmul Siddique, and Dr Deepika Nikam respectively.

Funding: competition funded PhD project for students worldwide. The post does not specify stipend amount, tuition coverage, or other financial details.

Eligibility: the post does not list formal entry requirements such as degree classification, prior qualifications, or English language scores. Interest in AI, robotics, computer vision, machine learning, or manufacturing/agriculture applications would be relevant.

How to apply: register your interest via the FindAPhD project page. The university will respond directly. You will need a FindAPhD account to view your enquiry and receive alerts.

Deadline: Friday, 8 January 2027.

Funding details

Competition funded PhD project (students worldwide). Funding details beyond competitive funding are not specified in the post.

What's required

Applicants should be interested in AI, robotics, computer vision, machine learning, human-robot collaboration, or predictive maintenance. The post does not specify degree class, prior degree level, language scores, or other formal eligibility criteria.

How to apply

Register your interest through the FindAPhD enquiry form on the project page. The university will respond directly, and you need a FindAPhD account to view enquiries and email alerts.

More information can be found here

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