Postdoc in Neuromorphic AI Hardware Accelerators

NU London; Greater London; Hybrid; GBP 43,000 - 48,000; Full time

Benefits offered by this job

25 days annual leave

Private medical insurance

Cycle scheme

Job summary

NU London invites applications for a Postdoctoral Research Associate in Neuromorphic Accelerators. Working with Professor Bipin Rajendran, you will design, implement and validate hardware accelerators for neuromorphic AI models using in-memory computing principles.

You will publish in top venues, supervise students, and collaborate with industry partners to translate research into impact, with a view to advancing enterprise and networked systems applications.

Qualifications

• PhD in Computer Science, Electronics or Computer Engineering or related quantitative field.
• Strong publication record in neuromorphic hardware design and related areas.
• Experience with large-scale ML models including probabilistic or neuromorphic approaches; Transformer/state-space models is a plus.

Responsibilities

• Design, implement and validate neuromorphic and in-memory accelerators for training/inference of AI models.
• Develop algorithms and HW–SW co-design methodologies for energy-efficient AI on neuromorphic/IMC platforms.
• Collaborate with cross-disciplinary teams to enable end-to-end system integration and validation.
• Publish research outcomes in leading journals/conferences; supervise PhD/MSc students.
• Engage with industry/academic partners for joint research and dissemination.

Skills

Neuromorphic hardware design

ML model training/inference

Hardware–software co-design

Academic publishing

Independent collaboration

Education

PhD in CS, Electronics or Computer Engineering

Tools

ASIC design

FPGA design

Tapeout workflows

Job description

NU London invites applications for a Postdoctoral Research Associate in Neuromorphic Accelerators. Working with Professor Bipin Rajendran, you will design, implement and validate hardware accelerators for neuromorphic AI models using in-memory computing principles.

You will publish in top venues, supervise students, and collaborate with industry partners to translate research into impact, with a view to advancing enterprise and networked systems applications.