University of Portsmouth

PhD in Smart Energy Efficient Computing A Deep Learning Approach To Sustainable ICT Systems (PhD)

Portsmouth, United Kingdom 3 years Taught in English Open to international students

Why students choose this program

  • Taught in English
  • Tuition 10% below the typical PhD
  • No application fee
  • Applications currently open

About PhD in Smart Energy Efficient Computing A Deep Learning Approach To Sustainable ICT Systems (PhD)

The application deadline for PhD in Smart Energy Efficient Computing A Deep Learning Approach To Sustainable ICT Systems (PhD) is Aug 31, 2026. Tuition fees for PhD in Smart Energy Efficient Computing A Deep Learning Approach To Sustainable ICT Systems (PhD) are 24,254 USD per year.

The School of Computing at the University of Portsmouth offers a PhD in Smart Energy Efficient Computing, focusing on deep learning approaches to sustainable ICT systems. Supervised by Dr Hamidreza Khaleghzadeh and Dr Alexander Gegov, this project aims to develop energy-efficient applications with a low energy footprint, targeting contemporary computing platforms, including the Internet of Things (IoT) and accelerators (GPUs). The project involves analysing performance and energy consumption, and creating predictive models using machine and deep learning methods. Collaborations with the Heterogeneous Computing Lab (HCL) at University College Dublin, Ireland, led by Dr Alexey Lastovetsky, further enrich the research experience by providing opportunities for skills and career development.

About University of Portsmouth

University of Portsmouth, established in 1869 and located in the historic coastal city of Portsmouth, offers a vibrant student experience with around 28,000 students, including approximately 5,000 international learners. The university combines strong teaching and research with practical industry links and a waterfront location that enriches campus life. Its long history of technical and professional education makes it a familiar choice for students seeking applied learning in a city with excellent transport links.

Portsmouth provides a range of programs organized across ten broad subject areas, encompassing engineering, business, health professions, creative arts and sciences. Students benefit from industry placements, modern laboratories and career-focused modules that enhance employability. The university also supports research-led teaching and partnerships with local employers, giving international students opportunities to gain real-world experience alongside academic study.

Comprehensive support services help international students with visas, accommodation, language preparation and wellbeing, while student societies and campus activities foster social integration. With practical training options, placement support and access to regional industries and cultural sites, Portsmouth is well suited to students who value both academic quality and hands-on experience. Prospective applicants should investigate program specifics, placement opportunities and scholarship options before applying.

This program's tuition is 10% below the typical PhD in the United Kingdom.

Median tuition for that cohort is 27,642 USD, across 1,949 programs on Global Admissions.

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PhD in Smart Energy Efficient Computing A Deep Learning Approach To Sustainable ICT Systems (PhD): Frequently Asked Questions

What are the fees for PhD in Smart Energy Efficient Computing A Deep Learning Approach To Sustainable ICT Systems (PhD)?
Tuition: USD 24,254.38 per year.
How long is the PhD in Smart Energy Efficient Computing A Deep Learning Approach To Sustainable ICT Systems (PhD) program?
The program duration is 3 year.
What is the application deadline?
The application deadline is 2026-08-31.
Is PhD in Smart Energy Efficient Computing A Deep Learning Approach To Sustainable ICT Systems (PhD) available online?
This is an on-campus program at University of Portsmouth in Portsmouth.

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