At a Glance
- Tasks: Research and develop AI-driven solutions for sustainable e-bike charging systems.
- Company: Leading UK university with a focus on innovative energy solutions.
- Benefits: £27,043 annual funding for living costs and tuition fees, plus international student support.
- Other info: Full-time position with opportunities for international collaboration and research advancement.
- Why this job: Join a cutting-edge project that combines AI and sustainability to make a real-world impact.
- Qualifications: PhD candidates with strong background in AI, machine learning, and energy systems.
The predicted salary is between 27043 - 27043 £ per year.
Ph D studentship in energy-efficient EV/e-bike charging systems at a UK university, funded under Horizon Europe.
The project covers remote monitoring, AI-based fault detection, ML-driven maintenance, and environmental impact analysis using PEF.
English language proficiency (IELTS 6.5 with min 6.0 in all components) is required.
The studentship provides £27,043 per year for living costs and tuition fees. Full-time appointment with funding for international students.
#J-18808-Ljbffr
PhD Fellowship: AI-Driven Sustainable E-Bike Charging in Nottingham employer: Technical University of Denmark
The University is an exceptional employer, offering a supportive and collaborative work environment that prioritises employee well-being and professional growth. With the flexibility of hybrid working and generous leave entitlements, including 36 days off, staff are encouraged to maintain a healthy work-life balance while contributing to the academic success of students in the Faculty of History.
Contact Details:
Technical University of Denmark Recruitment Team
