Postdoctoral Research Associate Position in Neuromorphic Accelerators

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

About the Opportunity

Postdoctoral Research Associate Position in Neuromorphic Accelerators Position Overview Discipline Engineering Faculty 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
• 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

Role

• 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

To undertake this role, the following should apply – should you not have the experience below, please do highlight where transferable skills would assist with you undertaking the role.

• 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.

Eligibility and Diversity

Please note this role may require a basic or enhanced DBS check. Our organization 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. Applications are welcome from all sections of the community and will be judged on merit alone.

We welcome applications from underrepresented groups.

Candidates 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.

About the University

Northeastern University London (NU London) is a prestigious higher education institution based in the heart of London and is part of Northeastern University’s global campus network. Overlooking the River Thames near Tower Bridge, NU London offers academically challenging educational programmes designed to inspire innovative thinking, encourage interdisciplinary study, and provide global experiences. The bright and modern campus offers award winning, contemporary facilities for students and staff including state of the art audio visual technology in its teaching and meeting spaces. Inspired by excellence, infused with an energy of ideas and ability in motion, at NU London, being a part of our staff is to be a part of a collective of entrepreneurs and educators, builders and thinkers.NU London is growing quickly, offering opportunity and growth for our staff. Currently hosting 1,500 students, our aim is to have 4,000 students by 2028/29.

Enquiries

Informal enquiries may be made to Professor Bipin Rajendran ([e-mail]). They can be reached at the following: [e-mail]