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Aston University

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Fully-funded PhD in AI-Enabled Tactile Sensing for Driver Fatigue Detection in Smart Mobility Systems Aston University in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Sep 15, 2026

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Country

United Kingdom

University

Aston University

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Keywords

Computer Science
Signal Processing
Mechanical Engineering
Electrical Engineering
Information Technology
Deep Learning
Artificial Intelligence
Tactile Sensing
Robotics
Embedded System
Machine learning

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About this position

PhD opportunity at Aston University in AI-enabled tactile sensing for driver fatigue detection in smart mobility systems.

This fully funded PhD project focuses on privacy-preserving driver monitoring using tactile and pressure-sensing surfaces rather than face images or wearable electrodes. The research will explore tactile sensing system design, data acquisition, signal processing, feature extraction, and AI-accelerated fatigue detection models for real-time recognition and early-warning prediction.

Research themes: tactile sensing, pressure sensors, machine learning, deep learning, signal processing, sensor data analysis, embedded systems, embodied AI, and smart mobility safety.

Funding: fully funded studentship with a bursary to cover fees and an annual maintenance allowance.

Location: Birmingham, United Kingdom. Start date: January 2027. Duration: 3.5 years.

Eligibility: applicants should have, or expect to achieve, a relevant bachelor’s degree with First Class or 2.1, or a relevant bachelor’s plus a master’s with Merit or higher. Suitable backgrounds include Computer Science, Artificial Intelligence, Electronic Engineering, Robotics, Data Science, or related areas. Familiarity with machine/deep learning, signal processing, sensor data analysis, embedded systems, or embodied AI is expected; Python skills and interest in tactile sensing and fatigue detection are desirable.

Supervisory team: Dr Dan Dai, Dr Zhengjia Xu, and Prof. Jose Ricardo Sodré.

How to apply: submit a complete application including transcripts/certificates, a research statement, a personal statement, two academic referees, English language evidence, and a passport copy. Incomplete applications will be rejected. Interviews will be held online via Microsoft Teams.

Deadline: 15 September 2026.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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