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Semiconductor Device Physics and Electrical Engineering● OpenPostdocPreview

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.

University of Surrey · Guildford, United Kingdom · R2 · Recognised researcher
More professors at University of Surrey
source-gated transistors (SGTs)multimodal transistors (MMTs)TCAD (Technology Computer-Aided Design)compact modellingphysics-informed machine learningsemiconductor device simulation
This is a postdoc position — not a PhD studentship.
Deadline
Nov 2, 2026
19 days
Funding
Salaried
£38.4k–£47.0k/yr
Start date
as soon as recruitment permits
Full-time
Location
Guildford
United Kingdom

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.

semiconductor device modellingTCAD simulationcompact modellingAI-assisted modellingdevice physicssemiconductor researchelectronic engineeringEPSRC-funded project

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

Required skills
  • 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
Nice to have
Experience with surrogate modelling techniquesBackground in device manufacturing effects and their integration into modelsPrior collaboration with experimental research teams
Eligibility
  • No explicit eligibility restrictions mentioned beyond PhD qualification

Funding & terms

Type
Salaried
Amount
£38.4k–£47.0k/yr
Duration
fixed-term, up to July 2027
Programme
EPSRC project EP/Y000196/1
Engineering and Physical Sciences Research Council (EPSRC)

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.

Documents required
  • CV
  • Cover letter
↗Apply on site

Contact

Radu Sporea· Principal Investigator

r.a.sporea@surrey.ac.uk

RS
Prof.
Radu Sporea
ATI Electronics (ATI EE)
Lab
ATI Electronics (ATI EE)
University of Surrey
EPSRC project EP/Y000196/1United Kingdom
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