The University of Manchester
🎓 PhD opportunity at the University of Manchester: AI for power electronics PCB layout
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School of Engineering PhD Scholarships: Autonomous Layout Synthesis for High-Density Power Electronics PCBs
Institute Description
The University of Manchester is a globally recognised research-intensive institution, known for pioneering work, excellent teaching, and a strong commitment to social responsibility. As a member of the Russell Group, it ranks among the top universities worldwide and within the UK in major international league tables. The university’s impact on social and environmental challenges is highlighted by its top ten positions in both the QS World University Sustainability Rankings and Times Higher Education Impact Rankings for contributions to the UN Sustainable Development Goals. With a diverse community of over 44,000 students, 12,800 staff, and 550,000 alumni from 190 countries, the University of Manchester offers a rich, international environment for study and research. It is also one of the UK’s most popular and most targeted universities for graduate recruitment, reflecting strong connections with leading employers.
Role Description
This is a full-time, on-site PhD opportunity based in Manchester, focusing on applying artificial intelligence techniques to power electronics PCB (printed circuit board) layout. The doctoral researcher will design and develop AI-driven models and algorithms to optimise PCB layout for performance, reliability, and manufacturability in power electronic systems. Day-to-day activities will include conducting literature reviews, defining research questions, building and validating computational models, running simulations, and analysing experimental and simulation data. The role will involve collaboration with academic supervisors, research groups, and potentially industrial partners, as well as preparing reports, conference papers, and journal publications. The candidate will also contribute to the wider research community through seminars, group meetings, and occasional support for teaching or laboratory activities aligned with the PhD project.
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Qualifications
- Strong foundation in electrical engineering, electronic engineering, or a closely related discipline, with knowledge of power electronics and PCB design principles.
- Experience with artificial intelligence or machine learning methods (e.g., supervised and unsupervised learning, optimization algorithms, deep learning) and their application to engineering problems.
- Proficiency in relevant programming and simulation tools (such as Python, MATLAB, or similar), and familiarity with PCB design and electronic CAD software is highly beneficial.
- Ability to conduct independent research: skills in problem formulation, literature review, experimental or simulation design, data analysis, and scientific writing.
- Effective communication and teamwork skills, including the ability to present complex technical concepts clearly, collaborate in multidisciplinary environments, and manage time and project milestones.
- Normally a first-class or strong upper second-class undergraduate degree (or international equivalent); a relevant master’s degree in engineering, computer science, or a related field is an advantage.
- Demonstrated interest in sustainable technologies, energy systems, or advanced electronics, and motivation to contribute to high-impact research aligned with global challenges.
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