Rupak Kharel

A fully funded PhD position is available at the University of Huddersfield for UK applicants, focusing on AI-Driven Cybersecurity for Electric Vehicles Smart Charging Network. The project is supervised by Professor Rupak Kharel and Dr Omprakash Kaiwartya, both experts in cyber security and smart systems. This research will explore advanced artificial intelligence methods to enhance the security of smart charging infrastructure for electric vehicles, addressing emerging threats and developing robust solutions for future transportation networks. The studentship is funded by the Engineering and Physical Sciences Research Council (EPSRC) and covers tuition fees and a tax-free stipend starting at £20,780 for 2025/26, with increases in line with EPSRC guidelines. The duration is 3 years full-time, with an additional 12 months for writing up (unfunded). Applicants must be UK citizens and hold a First Class or Upper Second-Class Honours degree or equivalent in a relevant subject area such as computer science, electrical engineering, or related fields. The application process is competitive and includes an interview. To apply, candidates should complete the Expression of Interest Form 2025, provide transcripts, certificates, and two references, and submit all documents via email to [email protected] by 1st August 2025. Informal enquiries about the project can be directed to the lead supervisor. The successful candidate will join a vibrant research community at the University of Huddersfield and contribute to cutting-edge research in AI and cybersecurity for smart mobility.

A fully funded PhD position is available at the University of Huddersfield for UK applicants, focusing on AI-driven cybersecurity for electric vehicles smart charging networks. The project is supervised by Professor Rupak Kharel and Dr Omprakash Kaiwartya, both experts in cyber security and intelligent systems. The research will address the challenges of securing smart charging infrastructure for electric vehicles using advanced artificial intelligence techniques. The studentship is funded by the Engineering and Physical Sciences Research Council (EPSRC) and covers tuition fees and a tax-free stipend starting at £20,780 for 2025/26, with increases in subsequent years. The duration is 3 years full-time, with an additional 12 months for writing up (unfunded). Applicants must be UK citizens and hold a First Class or Upper Second-Class Honours degree or equivalent in a relevant subject area such as computer science, electrical engineering, or related fields. The application process is competitive and includes an interview. To apply, candidates should complete the Expression of Interest Form 2025, provide academic transcripts, certificates, and two references, and submit all documents via email to [email protected] by 1st August 2025. For project-specific queries, applicants may contact the lead supervisor. The successful candidate will join a vibrant research community at Huddersfield, working on cutting-edge topics in AI, cybersecurity, and smart mobility.

A fully funded PhD position is available at the University of Huddersfield for UK applicants, focusing on AI-Driven Cybersecurity for Electric Vehicles Smart Charging Network. The project is supervised by Professor Rupak Kharel and Dr Omprakash Kaiwartya, both experts in cybersecurity and smart systems. The research will address the challenges of securing electric vehicle charging infrastructure using artificial intelligence and advanced cybersecurity techniques. The studentship is funded by the Engineering and Physical Sciences Research Council (EPSRC) and covers tuition fees and a tax-free stipend starting at £20,780 for 2025/26, with increases in subsequent years. Applicants must be UK citizens and hold a First Class or Upper Second-Class Honours degree or equivalent in a relevant field such as computer science, electrical engineering, or related disciplines. The application process is competitive and includes an interview. Interested candidates should complete the Expression of Interest Form, provide academic transcripts, certificates, and two references, and submit all documents via email to [email protected] by 1st August 2025. The successful candidate will join a vibrant research community and work on cutting-edge topics in AI, cybersecurity, and electric vehicle technology. The start date for the position is 1st October 2025. For project-specific queries, applicants are encouraged to contact the lead supervisor.