At a Glance
- Tasks: Design and implement cutting-edge neuromorphic hardware for AI applications.
- Company: Join a pioneering research hub at Northeastern University London.
- Benefits: Flexible working, employee assistance programme, and season ticket loans.
- Other info: Collaborate with diverse teams and engage in groundbreaking research.
- Why this job: Make a real impact in AI and neuromorphic computing while advancing your career.
- Qualifications: PhD in relevant field with strong publication record and hardware design experience.
The predicted salary is between 42701 - 48035 £ per year.
About the Opportunity
Postdoctoral Research Associate Position in Neuromorphic Accelerators
Position Overview
- Discipline: Engineering Faculty
- Institute: Institute for Intelligent Networked Systems (INSI)
- Location: London, Devon House (St Katherines Dock)
- Term: 1.5 years, fixed term, full-time
- Salary Range: £42,701- £48,035 per annum - dependent on experience
- Reports to: Professor Bipin Rajendran
Benefits:
- Flexible working and parental leave opportunities
- An employee assistance programme which provides free, confidential advice on both home and work concerns, as well as optional private medical insurance
- Season ticket loans
- Being part of the cycle-to-work scheme
The Role
Northeastern University London invites applications for a Post-doctoral Research Associate (PDRA) in Neuromorphic Accelerators to work with Professor Bipin Rajendran as part of the NeuroWare Neuromorphic Computing Hardware Semiconductor IKC. 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.
- 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 (IMC) platforms.
- Collaborate with cross-disciplinary teams spanning hardware design, AI/ML algorithms, information theory, and systems software to enable 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.
We particularly encourage applications from those belonging to groups underrepresented in UK higher education.
About the Institute
The Intelligent Networked Systems Institute (INSI) at NU London is a newly established transatlantic research hub focused on next-generation connectivity and intelligent computing and learning systems. The INSI London Hub acts as a bridge between the US and Europe, advancing interdisciplinary collaboration across continents. INSI is dedicated to addressing pressing challenges in telecommunications, artificial intelligence, quantum information, and information processing— all with the objective of creating a more efficient, connected, and secure world.
Person Specification Criteria
- Qualifications: PhD in Computer Science, Electronics or Computer Engineering or related quantitative field.
- Strong publication record in neuromorphic hardware design demonstrated through publications in leading conferences and/or journals, with expertise extending beyond materials and device optimisation toward system- and architecture-level innovation.
- Experience in the simulation, implementation, and validation of 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.
- Experience in hardware–software co-design approaches aimed at mitigating, exploiting, or adapting to the non-ideal effects and variability of nanoscale devices.
- 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.
Additional Information
Enquiries: Informal enquiries may be made to Professor Bipin Rajendran (b.rajendran@nulondon.ac.uk). However, all applications must be made in accordance with the application process specified. The role may require a basic or enhanced DBS check. The organisation acknowledges the duty of care to safeguard, protect and promote the welfare of our students and staff, and is committed to ensuring safeguarding practice reflects statutory responsibilities, government guidance and complies with best practice and Ofsted requirements. Must adhere to the above if offered a role with NU London.
Applications are welcome from all sections of the community and will be judged on merit alone. We welcome applications from underrepresented groups. Applicants must be able to demonstrate their eligibility to work in the UK in accordance with the Immigration, Asylum and Nationality Act 2006. Visa sponsorship may be available for a successful candidate for this position.
Postdoctoral Research Associate Position in Neuromorphic Accelerators employer: Northeastern University London
Northeastern University - London is an exceptional employer, offering a vibrant work culture that fosters academic excellence and innovation in transport planning. With flexible working arrangements, generous annual leave, and comprehensive benefits such as private medical insurance and a cycle-to-work scheme, the university prioritises employee well-being and professional growth, making it an ideal place for those passionate about teaching and scholarship in a dynamic urban environment.
Contact Details:
Northeastern University London Recruitment Team
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