Applications are invited for a Research Associate position in the Microelectronics Design Lab at the University of Manchester. We are looking for a researcher with knowledge of integrated circuit design and interest in neuromorphic systems. The focus of the job is to develop circuits and systems implementing acceleration of machine learning algorithms, including neural networks, in analog and mixed-signal hardware technologies. The developed systems will use a CMOS process integrated with state-of-the-art ReRAM (memristor) devices to provide non-volatile analog storage, and other novel functionalities. The job is associated with the £6M EPSRC Programme Grant on "Functional Oxide Reconfigurable Technologies (FORTE)", carried out in the Department of EEEE and Computer Science at Manchester in collaboration with Southampton, Imperial, and industrial partners. This is a 2.5-year fixed term position, which will be most appropriate as a period of post-doctoral work for candidates with a PhD in Electronics, or a related discipline, and previous chip design experience. More experienced researchers and candidates with equivalent industrial background are welcome to apply. Please use the link below for full job description and further particulars.
As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.
Blended working arrangements may be considered
Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.
Enquiries about the vacancy, shortlisting and interviews:
Name: Professor Piotr Dudek
Email: p.dudek@manchester.ac.uk
General enquiries:
Email: hrservices@manchester.ac.uk
Technical support:
https://jobseekersupport.jobtrain.co.uk/support/home
This vacancy will close for applications at midnight on the closing date.
Please see the link below for the Further Particulars document which contains the person specification criteria.
