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University of Birmingham

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Autonomous Environment Cooperative Perception and Intelligent Vehicle Control University of Birmingham in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Funded PhD Project (Students Worldwide)

Deadline

Year round applications

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Country

United Kingdom

University

University of Birmingham

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Keywords

Computer Science
Mechanical Engineering
Electrical Engineering
Computer Vision
Sensor Fusion
Robotics
Mechatronics
Autonomous Vehicle
Machine learning

About this position

The University of Birmingham's Department of Electronic, Electrical and Systems Engineering invites applications for a PhD project in Autonomous Environment Cooperative Perception and Intelligent Vehicle Control. This research opportunity is designed for candidates passionate about developing next-generation autonomous technologies that integrate energy-efficient control with advanced environmental perception.

As a PhD student, you will investigate how real-time sensing, multi-sensor fusion, and intelligent algorithms can be harnessed to enable safer, greener, and smarter vehicle operations or asset management. The project covers key topics such as eco-driving, environment cooperative perception, multi-sensor calibration, and AI-based vehicle control. By leveraging both onboard and infrastructure-supported sensors—including camera, radar, and LiDAR—you will enhance vehicles' abilities to perceive their surroundings and respond optimally in dynamic conditions.

Research themes include environment cooperative perception and infrastructure-assisted sensing, multi-sensor calibration and real-time sensor fusion, eco-driving and optimal control for energy-efficient vehicle operation, autonomous vehicle decision-making and trajectory planning, and AI-driven modelling and intelligent control in transport environments. The group offers access to developed perception systems and a large repository of first-hand, self-collected datasets, providing a strong foundation for experimental work.

You will collaborate closely with industrial partners, gaining exposure to experimental platforms, real-world data, and test environments. This partnership ensures that your research remains relevant to current industry challenges and provides valuable networking opportunities.

Funding is available through a range of University and Industrial Scholarships for both UK and international students. The ideal candidate will have a background in computer vision and intelligent transportation, with experience in MATLAB, Python, or machine learning frameworks. Applicants should hold a relevant degree in engineering, computer science, or a related discipline, and possess strong analytical and programming skills.

Applications are accepted year-round. To apply, prepare your CV, academic transcripts, and a statement of research interest, and submit your application via the University of Birmingham's online portal. For further details, contact the department directly.

This is an excellent opportunity to contribute to cutting-edge research in autonomous vehicles, intelligent control, and environmental perception, while working within a dynamic and well-supported academic environment.

Funding details

Funded PhD Project (Students Worldwide)

What's required

Applicants should have a background in computer vision and intelligent transportation. Experience with MATLAB, Python, or machine learning frameworks is highly desirable. Candidates should hold a relevant degree in engineering, computer science, or a related field. Strong analytical and programming skills are preferred. No specific language test or GPA requirements are mentioned.

How to apply

Submit your application through the University of Birmingham's online portal. Prepare your CV, academic transcripts, and a statement of research interest. Contact the department for further details about the application process. Applications are accepted year-round.

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