Sustainability-related context-aware data center system


   School of Built Environment, Engineering and Computing

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  Prof Ah-Lian Kor, Dr Thalita Vergilio, Dr Nawar Jawad  Applications accepted all year round  Self-Funded PhD Students Only

About the Project

Leeds Beckett Sustainable IT Doctoral Research 

The School of Built Environment, Engineering and Computing at Leeds Beckett University is looking to recruit a highly motivated AI software developer to work and conduct research with the Sustainable IT Research Group, ENEA (Italy), University of Lorraine (France), two of our Genial project partners. This is a unique opportunity for the right candidate to complete a PhD whilst working in partnership with ENEA and University of Lorraine to enhance existing data center energy efficiency metrics, develop, and validate an applied holistic sustainability-related context-aware data center system. 

The Sustainable IT Research Group in the School of Built Environment, Engineering and Computing has been renowned for their Sustainable IT and IT for Sustainability research. We have forged very strong academic and research links with our international collaborators, ENEA (Italy) and University of Lorraine (France) via two EU funded EMJMD projects (since 2012; PERCCOM and GENIAL). Together with our international project partners, we pride ourselves on our World Leading Green IT Education Provision (see https://sdgs.un.org/sites/default/files/2022-07/Session%209%20presentation.pptx.pdf)  and also applied data center energy efficiency work (since early 2000).   

ENEA stands for Italian National Agency for New Technologies, Energy and Sustainable Economic Development. It is an owner of two commercial data centers that are used as experimental facilities for their H2020 funded research work on High Performance Computing, Big Data, Cloud Infrastructures and Data Center Sustainability.  CRAN (Research Centre for Automatic Control of Nancy) at University of Lorraine conducts world leading research on automation, modelling, analysis, control and supervision of dynamic systems. To support our international collaborative applied research work on data energy efficiency, we are seeking a dynamic, flexible, proactive AI software developer to manage and lead the project with the ability to further develop, expand our work, and conduct high impact doctoral research. The role will have two distinct complementary elements. The first part of the research will enhance existing data center energy efficiency metrics while the second part involves the development and validation of a sustainability context-aware framework for a holistic energy efficient data center system (by taking into consideration monitoring and analysis of data relating to environment, IT infrastructure, and cooling systems).  

The successful candidate will be supervised by Prof. Ah-Lian Kor (Expertise in Sustainable and Intelligent Computing), Dr. Thalita Vergilio (Expertise in Edge and Cloud Intelligence) and Dr. Nawar Jawad (Expertise in 5G, AI Defined Networks and Openstack Cloud Infrastructure). Your external advisors will be ENEA (Italy) and University of Lorraine (France). 

We are seeking candidates with very strong AI programming skills. The successful candidate will be passionate about sustainability research and its potential to achieve real impact on data center energy efficiency. We also want someone who is ambitious and able to work collaboratively with our international research partners. The role will also include opportunities to teach on modules across the School of Built Environment, Engineering and Computing, supported by experienced academic mentors. 


Computer Science (8)

Funding Notes

Note: Information on UK doctoral loan can be found here: https://www.gov.uk/doctoral-loan.

References

Sustainable IT Research
Details of our Sustainable IT research work and projects are found here: https://www.leedsbeckett.ac.uk/research/centre-for-research-in-computer-science-and-applications/sustainable-it/
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