Research Fellow in Advanced Semiconductor Device Modelling
Develop and validate predictive models for next-generation semiconductor devices using TCAD, compact modelling, and AI-assisted approaches.
Best for:Best for postdoctoral researchers with expertise in semiconductor device modelling, TCAD, or AI-assisted simulation, seeking to contribute to cutting-edge device physics research.
Overview
This postdoctoral position at the University of Surrey focuses on advancing semiconductor device modelling within an EPSRC-funded project. The successful candidate will work under the supervision of Dr Radu Sporea, specialising in source-gated transistors (SGTs) and multimodal transistors (MMTs). The role combines computational modelling, experimental validation, and interdisciplinary collaboration to refine device physics and manufacturing insights. Applicants must demonstrate expertise in high-fidelity TCAD, compact modelling, or AI-assisted techniques, with a strong background in electronic engineering or semiconductor physics. The position offers opportunities for publication, mentorship, and international engagement, with a fixed-term contract until July 2027.
What you'll do
- Develop and validate advanced predictive models for source-gated transistors (SGTs) and multimodal transistors (MMTs) using TCAD, compact modelling, and physics-informed machine learning techniques.
- Collaborate closely with experimental teams to integrate device physics and manufacturing effects into models, ensuring alignment with measured data.
- Fit and validate models against experimental device data to inform circuit and device design decisions.
- Produce high-quality research outputs, including publications, reusable simulation frameworks, and technical documentation.
- Present research findings at conferences, workshops, and international dissemination events.
- Contribute to student mentoring, research proposals, and external collaborations.
- Engage in international travel for collaboration and knowledge exchange.
Requirements
Degree required: PhD in Electronic Engineering, Semiconductor Device Physics, computational or numerical modelling, or a closely related discipline
Language: English; proficiency sufficient for academic research and collaboration
Instruction: English
- Demonstrable expertise in high-fidelity TCAD, compact modelling, or advanced numerical/AI-assisted modelling of semiconductor devices
- Ability to exercise academic judgement and critically interpret modelling results
- Experience working closely with experimental data to ensure physically meaningful models
- Publicly verifiable technical outputs supporting expertise in semiconductor device modelling
- Strong computational and simulation skills applicable to semiconductor research
- No explicit eligibility restrictions mentioned beyond PhD qualification
Funding & terms
How to apply
Deadline: 2026-11-02
Submit a CV and cover letter via the University of Surrey’s application portal. For further enquiries, contact Dr Radu Sporea at r.a.sporea@surrey.ac.uk.
- CV
- Cover letter
Contact
Radu Sporea· Principal Investigator
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