PhD Studentship - Energy-Efficient Storage Technologies and Quantum Materials

Summary:

Applications are invited for a 4-year PhD studentship within the new established EPSRC funded Centre for Doctoral Training in Sensing, Processing, and AI for Defence and Security (SPADS). The program involves both a PhD research project and integrated studies as part of a cohort of like-minded students. The integrated studies will include advanced courses and bespoke training events such as summer schools, specialised theme meetings, and innovation and commercialisation sandpits.

Description:

With the advent of 5G networks, Internet of Things (IoT), particularly in the defence and security area, there is an exponential growth on the amount of data generated worldwide. It is estimated that by 2025, more than 175 Zettabyte (1 Zettabyte=10⁹ Terabytes) of data per year will be produced. Indeed, information technology is predicted to consume 21% of the world electricity supply by 2030. There is hence a pressing economic and societal urge to find more energy efficient solutions. To make progress in the targeted area of quantum storage technologies, new materials and/or processes need to be created or found. Therefore, the proposed project aims to: (i) find the most promising compounds displaying magnetic textures at technologically relevant temperatures, (ii) understand the quantum interactions between electrical currents, femtosecond laser pulses with spin-lattices, (iii) design energy-saving and high-performance quantum computing mechanism for applications in quantum storage technologies (QSTs).

Objectives:

• To design new quantum magnetic devices where energy-efficient operations are developed with optimized computing architectures beyond classical approaches,
• To model and improve scalability and intrinsically integrate AI self-learning capabilities within the material at large-scale production, and
• To target high density at low-power consumption for multifunctional device-platforms for quantum storage technologies (QSTs)

Funding

Tuition fees + stipend are available for applicants who qualify as Home applicants. Applications will be considered from EU/International Students who meet the eligibility requirements. To qualify as a Home student, you must fulfil one of the following criteria: 

• You are a UK student.
• You are an EU student with settled/pre-settled status who also has 3 years residency in the UK/EEA/Gibraltar/Switzerland immediately before the start of your Programme.
• Further information and other funding options: View Website

Eligibility

Students are expected to hold a 2.1 Hons degree or above, or equivalent, in Electronics and Electrical Engineering, Computer Science, Physics or related discipline. A Master’s degree in one of the above fields would be advantageous.

Applicants who require an ATAS certificate to work study in the UK will not be eligible for this PhD programme. A list of nationalities that do not require ATAS certification can be found here - www.gov.uk/guidance/find-out-if-you-require-an-atas-certificate

For a more comprehensive overview of the eligibility criteria, please visit the University of Edinburgh website via the following link: edin.ac/3V27sxe

Further information on English language requirements for EU/Overseas applicants.

Further Information

PhD Project to be run through the Centre for Doctoral Training in Sensing, Processing, and AI for Defence and Security (SPADS). For more information, please visit: spads.ac.uk

The University of Edinburgh is committed to equality of opportunity for all its staff and students, and promotes a culture of inclusivity. Please see details here: www.ed.ac.uk/equality-diversity

Informal Enquiries

Please direct your informal enquiries to Prof Rebecca Cheung (R.Cheung@ed.ac.uk), or Dr. Elton Santos (esantos@ed.ac.uk)

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