Research Fellow: AI-Driven Semiconductor Device Modelling

University of Surrey; Guildford; Hybrid; GBP 45,000 - 65,000; Full time

Benefits offered by this job

Generous pension

Relocation assistance

Flexible working options, includingJob

Job summary

University of Surrey invites applications for a Research Fellow in Advanced Semiconductor Device Modelling. The role focuses on developing and validating predictive models for source-gated transistors (SGTs) and multimodal transistors (MMTs) using TCAD, compact modelling, surrogate modelling, and physics-informed machine learning.

You will collaborate with the experimental team to ensure models reflect device physics and manufacturing effects, fit to data, and inform device and circuit design,

Qualifications

• A PhD in Electronic Engineering, Semiconductor Device Physics, computational or numerical modelling, or a closely related discipline.
• Demonstrable expertise in at least one of high-fidelity TCAD, compact modelling, or advanced numerical/AI-assisted modelling of semiconductor devices, supported by publicly verifiable technical outputs.
• The post holder must be capable of exercising academic judgement, selecting and developing appropriate modelling approaches, critically interpreting results, and working closely with experimental data to ensure that models remain physically meaningful and grounded in measured behaviour.

Responsibilities

• The role will undertake modelling and simulation research within EPSRC project EP/Y000196/1, developing and validating predictive models of SGT and MMT devices using appropriate techniques such as TCAD, compact modelling, surrogate modelling and physics-informed machine learning.
• Working closely with the experimental team, the postholder will incorporate relevant device physics and manufacturing effects, fit and validate models against measured data, and use these models to inform device and circuit design.
• You will also produce high-quality research outputs, including publications, reusable models and simulation frameworks, maintain appropriate documentation, present findings at conferences and workshops, and contribute where appropriate to student mentoring, research proposals, external collaborations and international dissemination activities.

Skills

TCAD modelling

Compact modelling

AI-assisted modelling

Education

PhD in Electronic Engineering/related

Job description

University of Surrey invites applications for a Research Fellow in Advanced Semiconductor Device Modelling. The role focuses on developing and validating predictive models for source-gated transistors (SGTs) and multimodal transistors (MMTs) using TCAD, compact modelling, surrogate modelling, and physics-informed machine learning.

You will collaborate with the experimental team to ensure models reflect device physics and manufacturing effects, fit to data, and inform device and circuit design,