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Amal Hajjaj

6 months ago

PhD Research Associate in Dual Mode MEMS Sensing for Propulsion Applications Loughborough University in United Kingdom

Degree Level

PhD

Field of study

Signal Processing

Funding

Available

Deadline

Expired

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Country

United Kingdom

University

Loughborough University

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Keywords

Signal Processing
Mechanical Engineering
Electrical Engineering
Automotive Engineering
Propulsion Systems
Nonlinear Dynamics
Energy Harvesting
Mechatronics
Physics

About this position

This PhD position at Loughborough University offers a unique opportunity to join the Wolfson School of Mechanical, Electrical and Manufacturing Engineering as a Research Associate in Dual Mode MEMS Sensing for Propulsion Applications. Funded by the Marie-Skłodowska-Curie Learning Network for Decentralized critical Infrastructure Asset Monitoring and coNDition assessment (DIAMOND), the role is part of a high-level European Doctoral programme training 16 PhD students across several countries.

The successful candidate will work on the modelling, design, fabrication, and testing of a novel MEMS sensor for dynamic torque and motion measurement in automotive powertrains. The research will involve nonlinear dynamics, adaptation to electric and hybrid powertrain configurations, integration of electrical circuits for autonomous (self-powered) sensing, power management, energy storage, data collection/storage, and wireless transmission. The developed MEMS system will be validated in laboratory settings using a powertrain rig and packaged for use with rotational vibration energy harvesters or alternative power sources.

Applicants must not already hold a PhD and must not have resided in the UK for more than 12 months in the three years prior to appointment. Proficiency in English is required, and candidates should have a strong background in mechanical engineering, electrical engineering, mechatronics, automotive engineering, or physics. Desirable skills include electro-mechanical expertise, broader computing skills, and a preference for interdisciplinary, collaborative environments. Excellent communication and collaboration skills are expected.

The position is fully funded for three years, offering a competitive salary (£44,296 per annum), living allowance, mobility allowance, and family allowance (if applicable). Tuition fees are waived for the duration of the PhD. The role is subject to the commencement of the project and agreement signed. Benefits at Loughborough University include generous holiday allowance, access to world-class facilities, financial wellbeing support, flexible and hybrid working options, health and wellbeing offers, and sustainable commuting schemes.

Informal enquiries can be directed to Dr Amal Hajjaj (Senior Lecturer in Electromechanical Systems and Dynamics) and Prof. Stephanos Theodossiades (Professor of Dynamics). Applications must be submitted via the university's online recruitment portal by 28 April 2026. For further details, refer to the Job Description and Person Specification, and ensure you meet the Marie Skłodowska-Curie Early Stage Researcher eligibility criteria.

This position is ideal for motivated scientists passionate about micro-sensors, propulsion systems, and advancing critical infrastructure asset monitoring. It offers the chance to collaborate with leading experts from research and industry and contribute to the future of self-powered sensing technologies.

Funding details

Available

What's required

Applicants must not already have a PhD and must not have resided in the UK for more than 12 months in the three years prior to appointment. A strong background in mechanical engineering, electrical engineering, mechatronics, automotive engineering, or physics is required. Candidates must demonstrate proficiency in English to meet Loughborough University requirements. Electro-mechanical skills, broader computing skills, and preference for interdisciplinary, collaborative environments are desirable. Excellent communication and collaboration skills are expected.

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Professors

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University Name
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United Kingdom

Research Interests

Internet Of Things

Automotive Engineering

Electrical Engineering

Physics

Mechanical Engineering