Natural Computing with MEMS Neuromorphic Reservoirs for In-Sensor Intelligence (Ref: FP-SA26-AH) Loughborough University in United Kingdom

This PhD opportunity at Loughborough University, within the Wolfson School of Mechanical, Electrical and Manufacturing Engineering, focuses on pioneering research in MEMS-based neuromorphic platforms for in-sensor intelligence. The project aims to revolutionize the Internet of Things (IoT) and edge computing by integrating sensing and computation into a single MEMS device, overcoming traditional bottlenecks in speed and energy efficiency. By physically implementing Reservoir Computing (RC)—a bio-inspired approach leveraging nonlinear dynamics—the research will enable fast, efficient, real-time data processing directly at the sensor level.

As a doctoral researcher, you will design and develop a physical RC system that exploits the rich nonlinear dynamics of MEMS resonators, including phenomena such as modal coupling, to enhance computational power. The project’s goal is to create a novel MEMS neuromorphic sensor that combines sensing and computing, significantly reducing latency and energy consumption. Validation tasks include MNIST handwritten digit recognition and real-world gas sensing, demonstrating simultaneous sensing and computation in practical scenarios.

This research will establish a new paradigm for neuromorphic sensors, paving the way for next-generation, low-power solutions for IoT and edge AI. You will gain expertise in MEMS technology, natural computing, and advanced sensor integration, positioning yourself as a future leader in these fields. The project is supervised by Dr Amal Hajjaja and Prof Stephanos Theodossiades, both experts in MEMS and dynamics, with academic profiles available for further information.

The studentship is funded for three years, offering a minimum tax-free stipend of £20,780 per annum (2025/26 rate) plus university tuition fees. Funding is competitive and subject to final university approval. No bench fees are required. Both UK and international applicants are eligible to apply. Entry requirements include a minimum of an upper-class honours degree (2:1) or overseas equivalent in Engineering or Physics, or relevant industrial experience. Applicants must also meet the university’s English language requirements.

To apply, submit your application online under the programme name Mechanical and Manufacturing Engineering, quoting reference FP-SA26-AH. Required documents include a personal statement, up-to-date CV, details of two referees (one from your highest degree qualification), certified certificates and transcripts for all completed degree programmes, and a reference to the project. Submission of a research proposal is optional but may strengthen your application. The closing date for applications is 16th February 2026, with interviews expected in February/early March 2026. The project is available full-time (3 years) or part-time (6 years), starting July 2026.

For further details, visit the project page or contact the Wolfson School at [email protected]. This is an exceptional opportunity to contribute to cutting-edge research in MEMS, neuromorphic computing, and sensor technology at a leading UK institution.