Postdoctoral Research Associate in Neuromorphic Accelerators in London

About the Opportunity

Position Overview

Discipline: Engineering

Faculty: Computing, Mathematics, Engineering and Natural Sciences (CoMENS)

Location: London, Devon House (St Katherines Dock)

Term: 2 years, fixed term, full-time

Salary Range: Grade 6, pt 32 (£42,701) per role, per annum

(may be appointed at a higher spine point if more experienced).

Start: January 2026

The Role

Northeastern University London invites applications for a Post-doctoral Research Associate (PDRA) in Neuromorphic Accelerators to work with Professor Bipin Rajendran.

The successful candidate will work on the design, implementation and validation of hardware accelerators for state-of-the-art AI models based on neuromorphic computing and In-Memory Computing (IMC) principles for applications in enterprise, IoT and Networked Systems.

Core duties include:

• Contribute to the design and development of hardware accelerators for training, fine-tuning, and inference of SOTA AI models implemented within a neuromorphic framework.

• Develop and evaluate algorithms and architectures for energy-efficient training and inference on neuromorphic and IMC platforms.

• Collaborate with cross-disciplinary teams in information theory, hardware design, AI/ML algorithms, and systems software to enable end-to-end integration.

• Publish high-quality research results in leading journals and conferences in AI hardware, neuromorphic computing, IoT/Networked systems, and computer architecture.

• Supporting the supervision and mentoring of PhD and MSc students working in the group.

• Engage with industrial and academic collaborators to support technology