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Research Assistant/Associate in Embedded Machine Learning Systems

Newcastle University - School of Engineering

Location: Newcastle upon Tyne
Salary: £32,546 to £35,116 per annum. See advert text for details.
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 18th June 2025
Closes: 16th July 2025
Job Ref: 28237

We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development of the North East of England. Attracting and retaining high-calibre people is fundamental to our continued success.

Salary
Research Assistant: £32,546 to £34,132 per annum.
Research Associate: £35,116 per annum.

The Role
We are seeking a motivated and talented Research Associate to join the Northern Net Zero Impact Accelerator project titled ECO-HAVEN: Energy Conservation for Households using Adaptive Edge Learning. This project develops a low-cost, privacy-preserving embedded AI device to reduce household carbon emissions through smart appliance energy profiling and explainable feedback mechanisms.

The successful candidate will play a key role in delivering a hardware-software prototype for Non-Intrusive Load Monitoring (NILM) that can provide real-time, interpretable energy-saving suggestions to households—completely on-device. This role involves applied machine learning research, hardware interfacing, and community-facing development through focus groups and user feedback.

The position is full-time (37 hours per week) and is fixed-term for 6 months and will be based in the School of Engineering.

You will work under the guidance of Tousif Rahman and Prof. Rishad Shafik.

For informal queries please contact Dr. Tousif Rahman at: tousif.rahman@newcastle.ac.uk.

To apply, please provide evidence of how you meet the essential criteria required for the role outlined in ‘The Person’ (available on the university's website, accessed by the 'Apply' button) by uploading a letter of application along with your Curriculum Vitae (CV).

For more information on the school of engineering, please click here.

As part of our commitment to career development for research colleagues, the University has developed 3 levels of research role profiles. These profiles set out firstly the generic competences and responsibilities expected of role holders at each level and secondly the general qualifications and experiences needed for entry at a particular level.

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