Research Associate, TFT Devices for AI Hardware

The University of Edinburgh; City of Edinburgh; On-site; GBP 41,000 - 49,000; Full time

Job summary

A leading UK university is seeking an experienced Research Associate in Thin Film Transistor Devices. This full-time role involves developing electronic devices utilizing thin film technologies and conducting extensive characterisation of materials. The successful candidate will have a PhD in Electronics or related fields and robust experience in fabrication and testing of TFTs. Join a vibrant team dedicated to innovating energy-efficient hardware solutions for AI applications and contribute to a collaborative environment focused on advanced nanotechnologies.

Benefits

Competitive salary

Generous holiday entitlement

Defined benefits pension scheme

Family-friendly initiatives

Flexible work options

Qualifications

• Strong background in semiconductor devices and thin films.
• Experience in independent cleanroom work.
• Knowledge of common testing procedures for electronic devices.

Responsibilities

• Develop electronic devices based on thin film technologies.
• Design device architectures and material stacks.
• Conduct analytical and morphological characterisation of films.

Skills

PhD in Electronics, Physics, Materials Science or similar

Proven track record in fabrication and testing of TFTs

Experience with cleanroom fabrication processes

Knowledge of electrical characterisation techniques

Physical layout tooling experience

Education

PhD in Electronics, Physics or Materials Science

Tools

Cleanroom fabrication tools

XPS

SEM

AFM

Job description

A leading UK university is seeking an experienced Research Associate in Thin Film Transistor Devices. This full-time role involves developing electronic devices utilizing thin film technologies and conducting extensive characterisation of materials. The successful candidate will have a PhD in Electronics or related fields and robust experience in fabrication and testing of TFTs. Join a vibrant team dedicated to innovating energy-efficient hardware solutions for AI applications and contribute to a collaborative environment focused on advanced nanotechnologies.