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About the Role

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.

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 (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.

Requirements

• 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.
• Candidates must be able to demonstrate their eligibility to work in the UK in accordance with the Immigration, Asylum and Nationality Act 2006.

Location

• London, Devon House (St Katherines Dock)

Work Type

• full-time

Experience Level

• dependent on experience

Education Level

• PhD

Salary/Compensations

• £42,701- £48,035 per annum

Benefits

• Flexible working and parental leave opportunities
• Employee assistance programme providing free, confidential advice on both home and work concerns
• Optional private medical insurance
• Season ticket loans
• Cycle-to-work scheme
• 25 days annual leave, plus 8 bank holidays and winter break holidays
• Access to personalised Continuous Professional Development (CPD) plans and opportunities
• Eye test reimbursement
• Access to deals and discounts for food & shopping in the local area

About the Company

• 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.
• 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.

Equal Opportunity

• Applications are welcome from all sections of the community and will be judged on merit alone.
• We welcome applications from underrepresented groups.
• We welcome applications from all underrepresented groups, including the Global Majority.