Postdoctoral Research Associate in Neuromorphic Accelerators
Join a transatlantic research hub to develop energy-efficient hardware accelerators for next-generation AI models.
Best for:Best for researchers with a PhD in engineering or computer science and expertise in neuromorphic hardware, FPGA/ASIC design, and AI model implementation.
Overview
Northeastern University London is seeking a Postdoctoral Research Associate to join the NeuroWare Neuromorphic Computing Hardware Semiconductor IKC. Working under the supervision of Professor Bipin Rajendran, the successful candidate will focus on the design, implementation, and validation of hardware accelerators for advanced AI models. The role involves developing energy-efficient architectures and hardware-software co-design methodologies for neuromorphic and in-memory computing platforms. This position is based within the Intelligent Networked Systems Institute, a transatlantic hub bridging research between the US and Europe.
What you'll do
- Design, implement, and evaluate neuromorphic and in-memory hardware accelerators for AI training and inference.
- Develop energy-efficient algorithms, architectures, and hardware-software co-design methodologies.
- Collaborate with cross-disciplinary teams in hardware, AI algorithms, and systems software for end-to-end integration.
- Publish high-quality research in leading journals and conferences.
- Supervise and mentor PhD and MSc students within the research group.
- Engage with industrial and academic partners to support technology transfer and translational research.
- Contribute to project management, technical reporting, and proposal development.
Requirements
Degree required: PhD in Computer Science, Electronics, Computer Engineering, or a related quantitative field.
Language: English
Instruction: English
Publications: Strong publication record in leading conferences and/or journals.
- Strong publication record in neuromorphic hardware design.
- Expertise in system- and architecture-level innovation.
- Experience in simulation, implementation, and validation of large-scale machine learning models.
- Proficiency in ASIC and/or FPGA design and hardware prototyping.
- Experience with hardware-software co-design for nanoscale devices.
- Effective oral and written communication skills.
- Must demonstrate eligibility to work in the UK in accordance with the Immigration, Asylum and Nationality Act 2006.
Funding & terms
How to apply
Deadline: 2026-10-26 · open until filled
Submit your application via the official portal using the reference R141061. Include a CV and a one-page covering letter addressing the role criteria, along with contact information for up to three references.
- CV
- Cover letter
Contact
Bipin Rajendran· Professor
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