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Amal Hajjaj

10 months ago

PhD in Dual-Mode MEMS Sensors for Propulsion Systems at Loughborough University (DIAMOND MSCA Doctoral Network) Loughborough University in United Kingdom

Degree Level

PhD

Field of study

Mechanical Engineering

Funding

This is a fully funded 36-month MSCA Doctoral Candidate position. The successful candidate will receive a salary of £44,296 per annum, with additional mobility and family allowances if eligible. The position covers tuition fees and provides a living allowance in accordance with MSCA regulations.

Deadline

Expired

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Country

United Kingdom

University

Loughborough University

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Keywords

Mechanical Engineering
Electrical Engineering
Automotive Engineering
Propulsion Systems
Sensor Technology
Mechatronics
Physics

About this position

Loughborough University’s Wolfson School of Mechanical, Electrical and Manufacturing Engineering is recruiting a Doctoral Researcher (PhD student) as part of the prestigious Marie Skłodowska-Curie Doctoral Network DIAMOND (Decentralized critical Infrastructure Asset Monitoring and coNDition assessment). The DIAMOND network brings together leading European institutions to train 16 doctoral candidates in infrastructure monitoring, decentralized computing, sensor-level intelligence, advanced diagnostics, and digital twins.

The available PhD project (DC1) focuses on designing novel dual-mode MEMS sensors for next-generation self-powered sensing in propulsion systems, particularly targeting hard-to-access locations such as powertrains. The research aims to address the gap in versatile MEMS sensors capable of tracking transient torque and motion using mechanical oscillations in rotary systems. The successful candidate will work on modeling and designing MEMS sensors, fabricating devices for various powertrain configurations, developing supporting electronics, and validating the system in laboratory settings. The project also involves packaging the sensor for use with energy harvesters for autonomous operation.

The position is fully funded for 36 months under the MSCA program, offering a competitive salary (£44,296 per annum), mobility and family allowances, and full tuition coverage. The candidate will benefit from network-wide secondments, including placements at ETH Zürich and AVL, and will collaborate with leading experts in academia and industry. The research is supervised by Dr. Amal Hajjaj and Prof. Stephanos Theodossiades at Loughborough University, with additional mentorship from Prof. Eleni Chatzi (ETH Zürich) and Mehdi Mehrgou (AVL).

Eligibility requirements include not holding a PhD at the time of appointment and not having resided or carried out the main activity in the UK for more than 12 months in the last 3 years. Applicants should have a strong background in mechanical engineering, electrical engineering, mechatronics, automotive engineering, or physics, and must demonstrate proficiency in English. Preferred skills include electro-mechanical and computing skills, and the ability to work in an interdisciplinary, collaborative, and inclusive environment.

Applications are open until 4 February 2026. For more information and to apply, visit the Loughborough University vacancies portal. Informal enquiries can be directed to Dr. Amal Hajjaj or Prof. Stephanos Theodossiades via email. This opportunity is ideal for candidates passionate about sensor technology, infrastructure monitoring, and AI-driven engineering solutions.

Funding details

This is a fully funded 36-month MSCA Doctoral Candidate position. The successful candidate will receive a salary of £44,296 per annum, with additional mobility and family allowances if eligible. The position covers tuition fees and provides a living allowance in accordance with MSCA regulations.

What's required

Applicants must not already have a PhD and must not have resided or carried out their main activity in the UK for more than 12 months in the last 3 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 as per Loughborough University requirements. Preferred skills include electro-mechanical skills, strong computing skills, and the ability to work in an interdisciplinary, collaborative, and inclusive environment. Excellent communication and collaboration skills are also desirable.

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Professors

Associate Professor

University Name
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United Kingdom

Research Interests

Automotive Engineering

Mechanical Engineering

Propulsion Systems

Electrical Engineering

Digital Twin Technology

Professor

University Name
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United Kingdom

Research Interests

Internet Of Things

Automotive Engineering

Electrical Engineering

Physics

Mechanical Engineering