PhD in Edge AI for safety-critical systems

Tuition fees are 25,100 GBP per year; applications for the Sep 2027 intake are due by Mar 1, 2027.

The PhD in Edge AI for safety-critical systems at Loughborough University is a 3-year degree for students with a Master's degree. This program focuses on machine learning for safety-critical systems like aerospace or self-driving cars.

The curriculum involves researching and prototyping new techniques for processing and analyzing real-time data from complex industrial systems, using edge computing to model uncertainty in collected data or model parameters. Students will develop skills in machine learning, data processing, and algorithm development.

Graduates can pursue careers as AI Engineers, Data Scientists, Aerospace Engineers, or Autonomous Vehicle Engineers in industries such as aerospace, automotive, or manufacturing, working for employers like tech companies or research institutions.

Loughborough University presents a learner-focused environment with extensive academic and campus resources tailored to international students. The institution highlights modern campus facilities, strong research and teaching support, and a wide-ranging library collection that supports coursework and independent study. Students benefit from well-equipped laboratories, collaborative study spaces and a library designed to meet the demands of diverse academic programs.

The university promotes a vibrant campus life through many clubs, societies and sports opportunities, encouraging students to balance academic work with extracurricular engagement. Student organizations cover arts, entrepreneurship, sports and cultural exchange, providing platforms for leadership, networking and social integration. On-campus catering, leisure facilities and landscaped areas create a welcoming atmosphere for study and relaxation.

International opportunities and partnerships enhance global mobility and employability, with pathways for study abroad, industry links and internship experiences that connect students with multinational employers. Teaching is delivered in modern facilities across multiple campuses, and student services support orientation, accommodation and academic success. Overall, this university aims to combine strong academic provision with an active campus community to prepare graduates for global careers.