Postdoc: Neuromorphic AI Hardware Architect

Northeastern University - London; Greater London; On-site; GBP 43,000 - 48,000; Full time

Benefits offered by this job

Flexible working

Parental leave

Employee assistance programme

Season ticket loans

Cycle-to-work scheme

Job summary

NU London is seeking a Postdoctoral Research Associate in Neuromorphic Accelerators to join the INSI London Hub, London. You will design, implement, and evaluate neuromorphic and in-memory hardware accelerators for AI training and inference.

Join a cross-disciplinary team spanning hardware design, AI algorithms, information theory, and software to enable end-to-end system integration. You will publish in top venues, supervise students, and collaborate with industry for translational impact.

Qualifications

• PhD in Computer Science, Electronics or Computer Engineering or related quantitative field.
• Strong publication record in neuromorphic hardware design.
• Experience with large-scale machine learning models, including probabilistic, neuromorphic, Transformer, and/or state-space models.
• Experience with ASIC and/or FPGA design, hardware prototyping, and tapeout workflows for emerging AI hardware systems.

Responsibilities

• Contribute to the design, implementation, and evaluation of neuromorphic and in-memory hardware accelerators for training and inference of state-of-the-art AI models.
• Develop algorithms, architectures, and hardware–software co-design methodologies for energy-efficient AI computation on neuromorphic and in-memory computing platforms.
• Collaborate with cross-disciplinary teams spanning hardware design, AI/ML algorithms, information theory, and systems software for end-to-end system integration and validation.
• Publish high-quality research outcomes in leading journals and conferences in neuromorphic computing, AI hardware, and computer architecture.
• Support the supervision and mentoring of PhD and MSc students within the research group.
• Engage with industrial and academic collaborators to support joint research activities, technology transfer, and translational impact.
• Contribute to project management activities, including technical reporting, proposal development, and dissemination of research outcomes.

Skills

Neuromorphic hardware design

Machine learning models

Hardware–software co-design

ASIC/FPGA design

Communication skills

Education

PhD in Computer Science / Electronics / Computer Engineering

Tools

ASIC design tools

FPGA toolchains

Job description

NU London is seeking a Postdoctoral Research Associate in Neuromorphic Accelerators to join the INSI London Hub, London. You will design, implement, and evaluate neuromorphic and in-memory hardware accelerators for AI training and inference.

Join a cross-disciplinary team spanning hardware design, AI algorithms, information theory, and software to enable end-to-end system integration. You will publish in top venues, supervise students, and collaborate with industry for translational impact.