Applications are invited for a full PhD Scholarship starting Sep 2022/Jan 2023 (or as soon as possible thereafter) to undertake research in the area of Sustainable and Reliable Cloud/Edge/Serverless Computing. Recent technological developments and paradigms such as Serverless computing, Internet of Things (IoT), and processing at the network edge, bring new opportunities for Cloud computing. However, they also pose several new challenges and create the need for new approaches and research strategies, as well to revisit the models that were developed to address issues such as scalability, elasticity, reliability, latency, sustainability. Emerging technologies such as Edge and Serverless Computing and the IoT present new challenges which cannot be easily met by current resource provisioning and scheduling techniques, frameworks and mechanisms. Our future research aims to develop systems using the latest Artificial Intelligence (AI) and Machine Learning (ML) techniques which will be capable of meeting the requirements of modern IoT applications while delivering reliable and sustainable services.
This studentship will explore the intersection of Cloud/Edge/Serverless and ML/AI to deliver reliable and sustainable services for modern IoT applications. The scope of the project is quite broad. Applicants are encouraged to suggest their own interest and refine the research direction accordingly.
The PhD will be supervised by Dr Sukhpal Singh Gill and will be based in the Networks Research Group (http://networks.eecs.qmul.ac.uk/), an interdisciplinary group with strong publication record and high international impact, which is part of the School of Electronic Engineering and Computer Science (http://www.eecs.qmul.ac.uk), Queen Mary University of London, UK.
Qualifications:
All applicants should have a first-class honour degree or equivalent, or a MSc degree, in Computer Science or Electronic Engineering (or a related discipline). Applicants should have a good knowledge of English and ability to express themselves clearly in both written and spoken form. The successful candidate must be strongly motivated to undertake doctoral studies, as well as must have demonstrated the ability to work independently and perform critical analysis. A record of publishing research in international conferences and/or journals is highly desirable, as well as a strong track record of working in international teams.
The essential selection criteria include:
● Experience in Cloud, Edge, Serverless Computing.
● Good coding skills in Python, Matlab and/or Java.
● Good knowledge of data science methods.
● Understanding of Machine Learning and IoT.
● Ability to work independently or as part of a team.
The desirable selection criteria include:
● Experience and knowledge of machine learning techniques.
● Experience in action and activity recognition.
To apply, please follow the online instructions specified by the college website for research degrees: http://www.eecs.qmul.ac.uk/phd/how-to-apply/. Steps 2 onwards are applicable in this case. Please note that we request a ‘Statement of Research Interests’. Your statement (no more than 500 words) should answer two questions:
(i) Why are you interested in the topic described above?
(ii) What relevant experience do you have?
In addition to this, we would also like you to submit a sample of your written work. This might be a chapter of your final year or masters dissertation, or a published conference or journal paper.
How to apply
In order to submit your online application you will need to visit the following webpage: https://www.qmul.ac.uk/postgraduate/research/subjects/computer-science.html. Please scroll down the page and click on “PhD Full-time Computer Science - Semester 2 (January Start)”. The successful PhD candidate will be a member of the Networks Research group. You should mention this in your application.
Applicants interested in the post, seeking further information or feedback on their suitability are encouraged to contact Dr. Sukhpal Singh Gill at [Email Address Removed] with subject “Sustainable and Reliable Cloud/Edge/Serverless Computing”. All applications must be made via the website mentioned above.
The closing date for applications is 30 June, 2022.
Interviews are expected to take place in July 2022.
Starting date: Sep 2022/Jan 2023.
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