Research Fellow in Advanced Semiconductor Device Modelling

University of Surrey; Guildford; On-site; GBP 38,000 - 47,000; Full time

Job summary

The University of Surrey invites applications for a full-time, fixed-term research role focused on advanced modelling and simulation of source-gated transistors (SGTs) and multimodal transistors (MMTs) on EPSRC project EP/Y000196/1. You will work under the PI to develop high-fidelity TCAD, compact, and AI-assisted models, coupling with experimental data.

A PhD in Electronic Engineering, Semiconductor Device Physics, computational or numerical modelling, or a closely related discipline is

Qualifications

• PhD in Electronic Engineering, Semiconductor Device Physics, computational or numerical modelling, or a closely related discipline.
• Demonstrable expertise in high-fidelity TCAD, compact modelling, or advanced numerical/AI-assisted modelling of semiconductor devices.

Responsibilities

• Develop and validate predictive models of SGT and MMT devices using TCAD, compact and surrogate modelling, or physics-informed AI.
• Collaborate with experimental team to incorporate device physics and manufacturing effects, fit models to data and inform design.
• Produce publications and reusable models, document work, and contribute to proposals and external collaborations.

Skills

High-fidelity TCAD

Compact modelling

AI-assisted modelling

Education

PhD in Electronic Engineering or related

Tools

TCAD software

Surrogate modelling

Job description

The University of Surrey is a global community of ideas and people, dedicated to life-changing education and research.

We are ambitious and have a bold vision of what we want to achieve - shaping ourselves into one of the best universities in the world, which we are achieving through the talents and endeavour of every employee.

Our culture empowers people to achieve this aim and to collectively, and individually, make a real difference.

The role

The holder will undertake research on EPSRC project EP/Y000196/1 under the supervision of the principal investigator, with particular responsibility for developing and validating advanced modelling and simulation approaches for source-gated transistors (SGTs) and multimodal transistors (MMTs). The role may focus on high-fidelity TCAD, compact modelling, or advanced numerical and AI-assisted modelling, according to the successful candidate's expertise and the needs of the project.

Main 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.

Person Specifications

• 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.

This is a full-time (1.0 FTE), fixed-term post (up to July 2027) on EPSRC project EP/Y000196/1, starting as soon as the recruitment process permits. The role is primarily computational but requires close engagement with experimental device data and may involve national or international travel for collaboration and dissemination.

£38,448 to £46,970 per annum