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A prestigious university in Edinburgh seeks an experienced Research Associate in Thin Film Memcapacitors. The role involves developing electronic devices with a focus on nanotechnology and semiconductor devices. Candidates should possess a PhD in a relevant field and experience in cleanroom fabrication processes. This position offers a fixed-term contract for up to 24 months, pushing the boundaries of electronics and AI through advanced engineering solutions.
Grade UE07: £41,064-£48,822 per annum
School of Engineering, College of Science & Engineering
Institute for Integrated Micro and Nano Systems (IMNS)
Full Time: 35 hours per week
Fixed Term: up to 24 months
We are looking for an experienced Research Associate in Thin Film Memcapacitors. The position will be based at the King’s Buildings Campus and will commence as soon as possible.
Our ambition is to push the frontiers of electronics through emerging nanotechnologies, disrupting current ways of thinking by innovating advanced energy-efficient Hardware solutions for AI and the new age of electronics. To realise this vision, we are seeking exceptional candidates to join our team, interested in devoting their passion for addressing some of the challenges we have identified.
This post will involve the development of electronic devices based on thin film technologies for novel and emerging memory applications with a focus in reconfigurable and tuneable capacitance. These include designing device architectures and material stacks with standard cleanroom processes (lithography, magnetron sputtering, ALD, etc), analytical and morphological characterisation of developed films (such as XPS, SEM and AFM) as well as electrical characterisation of fabricated devices.
This position is affiliated with the prestigious Royal Academy of Engineering Chair in Emerging Technologies held by Regius Chair of Engineering Prof Prodromakis, Director of the Centre for Electronics Frontiers. The appointee will support the delivery of the vision of this 10-year programme that aspires to develop AI Hardware solutions for Lifelong Learning applications.