MacMi- A Machine Learning Approach for Migrating to Microservices
We are recruiting new Doctoral Researchers to our EPSRC funded Doctoral Training Partnership (DTP) PhD studentships starting 1 October 2023. Applications are invited for the project MacMi- A Machine Learning Approach for Migrating to Microservices
Successful applicants will receive an annual stipend (bursary) of approximately £19,668, including inner London weighting, plus payment of their full-time home tuition fees for a period of 42 months (3.5 years).
You should be eligible for home (UK) tuition fees there are a very limited number (no more than three) of studentships available to overseas applicants, including EU nationals, who meet the academic entry criteria including English Language proficiency.
You will join the internationally recognised researchers in the Department of Computer Science
This exciting research project is focused on developing an approach that uses machine learning techniques to automate the migration of monolithic software into microservice architecture. The purpose is to aid software engineers in identifying candidate microservices from existing software systems by using features and metrics of the code. Microservices are in the top 10 technologies that IT leaders are planning to invest to achieve Digital Transformation. However, many organisations find it difficult to perform this architectural shift.
Please contact Dr Nour Ali at firstname.lastname@example.org for an informal discussion about the studentships.
Applicants will have or be expected to receive a first or upper-second class honours degree in an Engineering, Computer Science, Design, Mathematics, Physics or a similar discipline. A Postgraduate Masters degree is not required but may be an advantage.
Skills and Experience
Applicants will be required to demonstrate their knowledge in:
- Object-Oriented Analysis and Design
- Software Architecture
- Machine Learning
- Familiarity with software repositories such as GitHub.
- Ability to conduct Critical Background and Literature Reviews
You should be highly motivated, able to work independently as well as in a team, collaborate with others and have good communication skills.
How to apply
There are two stages of the application:
1.Applicants must submit the pre-application form via the following link https://brunel.onlinesurveys.ac.uk/epsrc-dtp-23-24-pre-application-form-brunel-university-lon-3 by 16.00 on Friday 26th May 2023.
2.If you are shortlisted for the interview, you will be asked to email the following documentation in a single PDF file to email@example.com within 24hrs.
- Your up-to-date CV;
- Your Undergraduate degree certificate(s) and transcript(s) essential;
- Your Postgraduate Masters degree certificate(s) and transcript(s) if applicable;
- Your English Language qualification of IELTS 6.5 overall (minimum 6.0 in each section) or equivalent, if applicable;
- Contact details for TWO referees, one of which can be an academic member of staff in the College.
Applicants should therefore ensure that they have all of this information in case they are shortlisted.
Interviews will take place in June 2023.