Research Fellow in Brain-inspired Learning Accelerators

About us

Recently re-founded, the Department of Engineering is rapidly expanding into a world-class research and teaching department. Research currently focuses on information processing systems, robotics, telecommunications, and biomedical engineering, but we are looking to establish new research themes.  

This post will be affiliated with the newly established Centre for Intelligent Information Processing Systems within the department. 

About the role

The Centre for Intelligent Information Processing Systems (CIIPS) led by Professor Bipin Rajendran and Professor Osvaldo Simeone brings together interdisciplinary and diverse expertise synergistically to address future challenges in intelligent information systems, encompassing hardware-software co-design, nanoscale information systems, signal processing, information engineering, and quantum information processing. 

We are seeking a highly motivated and conscientious post-doctoral researcher to work closely with the NeuMatmul project team funded by ARIA. 

The goal of the NeuMatmul project is to combine the multiplicative advantages that arise from:

• event-driven, backprop-free learning algorithms,
• stochastic computing, and
• in-memory computing based on Si CMOS technology, to design and demonstrate a neuromorphic framework to reduce the cost of developing AI models.

You will contribute to the design and development of hardware accelerators for training and fine-tuning of large language models implemented using a neuromorphic framework. You will also have the opportunity to mentor PhD and MSc students working in the group

You will also have the opportunity to mentor PhD and MSc students working in the group.

This is a full-time contract, and you will be offered a fixed term contract until 31/12/2026.

About you

To be successful in this role, we are looking for candidates to have the following skills and experience:

Essential criteria

• Post-Doc experience of over one year in industry or academia, with a PhD in Electronic or Computer Engineering
• Strong publication record in AI hardware accelerator design in top-tier conferences and journals
• Previous experience with large scale ML models and/or probabilistic, neuromorphic, Transformer, State space models
• Experience in preparing or contributing to research grant applications
• Effective communication (oral and written) skills, ability to write research reports and papers in style accessible to academic audiences
• Ability to work independently and as part of a team on research programmes

Desirable criteria

• Previous experience with contributing to grant applications
• Previous experience with designing mixed-signal circuits, tapeouts, and testing

Downloading a copy of our Job Description

Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the next page after you click “Apply”. This document will provide information of what criteria will be assessed at each stage of the recruitment process.

Further Information

We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community.

We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's.

We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible.

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