PhD Position in AI, and Sustainable EV/e-Bike in the UK Apply now

Are you passionate about Artificial Intelligence, Machine Learning, Renewable Energy, Smart Transportation, and Sustainability? Nottingham Trent University (NTU), United Kingdom, is offering a fully funded PhD studentship for UK and international students on an exciting research project focused on AI-powered, smart, and sustainable EV/e-bike charging systems.

This innovative PhD project is supported by the European Commission’s Horizon Europe Programme and aims to develop intelligent charging solutions powered by solar energy while integrating Artificial Intelligence, Internet of Things (IoT), Machine Learning, and Environmental Impact Assessment techniques.

1. Introduction

The rapid adoption of electric vehicles (EVs), e-bikes, and e-scooters has created a growing demand for efficient, sustainable, and intelligent charging infrastructure. As governments worldwide work toward carbon neutrality and cleaner transportation systems, innovative energy management solutions are becoming increasingly important.

This PhD project at Nottingham Trent University seeks to address these challenges by developing advanced charging stations powered by renewable energy sources and enhanced through AI technologies. The research combines smart energy monitoring, predictive maintenance, machine learning, environmental sustainability, and large language models (LLMs) to create next-generation charging systems.

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Students joining this project will have the opportunity to work on cutting-edge technologies while contributing to global sustainability goals.

2. PhD Overview

• Position: PhD Student – AI-Powered, Smart and Sustainable EV/e-Bike Charging
• University: Nottingham Trent University (NTU)
• Country: United Kingdom
• School: School of Architecture, Design and the Built Environment
• Study Mode: Full-Time
• Funding Type: Fully Funded
• Eligible Applicants: UK and International Students
• Project Duration: 3 Years
• Intake: October 2026
• Application Deadline: 1 July 2026

Key Highlights

• Fully Funded PhD
• Tuition Fees Covered
• Annual Stipend Included
• Open to International Students
• AI and Machine Learning Research
• Renewable Energy Applications
• Horizon Europe Supported Project
• Industry-Relevant Research

3. Benefits

The studentship provides substantial academic and financial support.

Financial Benefits

• Full Tuition Fee Coverage
• Three-Year Stipend
• Funding for the Entire PhD Duration
• Open to UK and International Applicants

Academic Benefits

• Research at a Leading UK University
• Access to Advanced Research Facilities
• Supervision by Experienced Researchers
• Participation in Horizon Europe Research Activities

Career Benefits

• Expertise in Artificial Intelligence
• Machine Learning Applications
• Renewable Energy Systems
• Sustainable Transportation Technologies
• Environmental Assessment Techniques

4. Research Areas

The project combines multiple interdisciplinary research fields.

Core Research Topics

• Artificial Intelligence (AI)
• Machine Learning (ML)
• Electric Vehicles (EVs)
• E-Bike Charging Systems
• Internet of Things (IoT)
• Renewable Energy
• Solar Energy Systems
• Sustainable Transportation
• Smart Energy Management

Research Objectives

Intelligent Energy Monitoring

Develop systems capable of remotely monitoring and managing charging stations across multiple locations.

AI-Powered Fault Detection

Use Large Language Models (LLMs) to identify faults, diagnose problems, and improve operational efficiency.

Predictive Maintenance

Develop machine learning models to predict battery degradation and optimize maintenance schedules.

Environmental Impact Assessment

Conduct sustainability evaluations using Product Environmental Footprint (PEF) and Life Cycle Assessment (LCA) methodologies.

5. Eligibility Criteria

Applicants should possess a strong academic background relevant to the project.

Academic Requirements

Applicants are expected to have qualifications in areas such as:

• Artificial Intelligence
• Computer Science
• Data Science
• Electrical Engineering
• Electronic Engineering
• Renewable Energy
• Mechanical Engineering
• Sustainable Energy Systems
• Environmental Engineering

English Language Requirements

International applicants must demonstrate English proficiency.

IELTS Requirement

• Overall IELTS Score: 6.5
• Minimum Score of 6.0 in:
  • Reading
  • Writing
  • Listening
  • Speaking

6. Required Documents

Applicants should prepare the following documents:

Application Documents

• Updated Curriculum Vitae (CV)
• Academic Transcripts
• Degree Certificates
• Research Statement
• Personal Statement
• English Language Test Results (if applicable)

Applicants are encouraged to contact the supervisors before submitting their application.

7. Application Process

OFFICIAL LINK

Step 1

Review the project details and eligibility requirements.

Step 2

Prepare all required documents.

Step 3

Contact the project supervisor if you have questions regarding your suitability.

Step 4

Submit your online application through Nottingham Trent University’s application system.

Supervisors

Dr Wenjie Peng
📧 wenjie.peng@ntu.ac.uk

Professor Daizhong Su
📧 daizhong.su@ntu.ac.uk

Application Deadline

📅 1 July 2026

Study Start Date

📅 October 2026

8. How to Avail This Opportunity

To strengthen your chances of selection:

Develop Relevant Skills

Experience in any of the following areas will be advantageous:

• Artificial Intelligence
• Machine Learning
• Data Analytics
• Renewable Energy Systems
• IoT Applications
• Smart Grid Technologies
• Battery Management Systems

Highlight Research Experience

Include:

• Research Projects
• Publications
• Final Year Projects
• Technical Reports
• Industry Experience

Demonstrate Motivation

Clearly explain:

• Why you are interested in sustainable transportation
• Your interest in AI and renewable energy
• Long-term research and career goals

Contact the Supervisor

Discussing your research interests with the project supervisor before applying can help strengthen your application.

Conclusion

The Fully Funded PhD Position in AI-Powered, Smart, and Sustainable EV/e-Bike Charging at Nottingham Trent University offers an exceptional opportunity for ambitious researchers interested in Artificial Intelligence, Renewable Energy, Machine Learning, and Sustainable Transportation. With full funding, expert supervision, and participation in a Horizon Europe-supported project, successful candidates will contribute to developing innovative technologies that support a cleaner and more sustainable future.