[AISWorld] PhD position - Data Science and cloud services

[M.Younas]

PhD Studentship: A Data Science approach to cloud services selection
using a big data storage system
Oxford Brookes University, Oxford, UK

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Project Description:

With growing demand and popularity of cloud computing, hundreds of
technology  companies offer on-demand software and hardware services
such as compute  power, memory, disk storage, network bandwidth, email
services, etc. Such  services are provisioned on negotiated agreement
between service providers and  consumers. However, given the vast
diversity of services and quality criteria (e.g.,  security,
reliability, performance), selection of appropriate cloud services has
 become one of the most challenging tasks for the cloud consumers.
This research  proposes a data science approach towards selection of
cloud services. Data science  is an interdisciplinary field that
involves processing and analysing of large volume  of data (big data)
and requires expertise from different disciplines, mainly,  computer
science, mathematics and statistics.
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Requirements:

- Applicants should have a first or upper second-class honours degree
from a Higher Education Institution in Computing, Computer Science,
Statistics or acceptable equivalent qualification.
- Knowledge of databases, cloud computing and statistics methods.
- Ability to conduct independent research and good aptitude for research
- Good communication and writing skills and ability to work in a team
- UK and international applicants are eligible.

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Fee and Bursary:

Bursary: £17,668 per year
Fees: Tuition fees will be paid by the university
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Deadline: Applications must be completed by 5pm GMT, 28-Feb-2023.
Interview date: 6-Mar-2023
Start date of studentship: June 2023
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How to apply:

To apply for this studentship see the submission instructions on our
website: https://www.brookes.ac.uk/study/how-to-apply/applying-directly/

When completing your application Online, select the following:

Academic Level: 'Research Degrees'
Subject Group: 'All Research'
Course: MPhil/ PhD in: Engineering, Computing and Mathematical Sciences
Title: A Data Science Approach to Cloud Services Selection

Please also email Research Administrator (dmaitland at brookes.ac.uk) to
confirm your application has been received.

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Documents required:

As part of your application, please attach the following documents:

1. Cover letter (2 pages max) summarising:
Your reasons for wanting to undertake this project:
A brief statement of research interests (describing how past
experience and future plans fit with the advertised position). The
cover letter should also demonstrate how you meet the essential
selection criteria identified in the advert.

2. Research proposal: A research proposal within 2,000 words that
includes clear research aims/questions, an description of methodology,
and a rough timeline.
3. Details of two referees: Please provide the contact details of two
referees. If you are awarded the studentship, you will need to provide
two written references (one of which must be academic) from your
referees.
4. A scan of your passport
5. Copies of your previous Degree Certificate(s)
6. Copies of your previous Transcript(s)
7. IELTS certificate or equivalent evidence of English Language
abilities (if applicable): For more details please consult the Oxford
Brookes English language requirements pages: Entry English language
requirements. Please note that we cannot accept TOEFL as an English
language qualification.
8. Your CV

If short-listed for interview, you will be contacted by email to
arrange a suitable interview date and time. The successful candidate
will be notified after the final application deadline. If you are not
successful in your application, you will be notified of this within
approximately six weeks of the closing date. Due to the high volume of
applications we will not be able to provide feedback to unsuccessful
candidates.
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Contacts:

If you have any further questions about application process, please,
contact Research Administrator at (dmaitland at brookes.ac.uk).

For informal inquiries about the project, please, contact Dr M.Younas
(m.younas at brookes.ac.uk)