|Funding for:||UK Students, EU Students, International Students|
|Funding amount:||From £17,668 maintenance grant, per annum|
|Placed On:||3rd February 2023|
|Closes:||28th February 2023|
Project Title: Opportunistic constraint-aware continual machine learning
Funding amount: £17,668 maintenance grant per annum
Lead Supervisor name: Prof Hamid Bouchachia
The undertaken research work is part of an EU project called ExtremeXP (Experiment driven and user experience-oriented analytics for extremely precise outcomes and decisions) under the direction of Prof Hamid Bouchachia. The project will develop scenario-driven and opportunistic machine learning with the aim to:
We are seeking to fill the position with a talented and enthusiastic candidate with excellent analytical, programming, communication and scientific writing skills, who will contribute to the delivery of the project (planning, designing and conducting the proposed research and producing published outputs). Candidates must have strong analytical background in Machine Learning preferably with good exposure to Meta-learning, Continual Learning, AutoML, Scalable ML and Trustworthy AI. The project will target new and original ML algorithms and strategies leading to exploitable constraint-aware ML and analytics services.
What does the funded studentship include?
A fully-funded Studentship includes a maintenance grant of £17,668 per year to contribute towards living expenses during the course of your research, as well as a fee waiver for 36 months. Associated costs, such as for fieldwork and conference attendance, will also be met under the Studentship.
The BU PhD and MRes Studentships are open to UK, EU and International students. Candidates for a PhD Studentship should demonstrate outstanding qualities and be motivated to complete a PhD in 4 years and must demonstrate:
In addition to satisfying minimum entry criteria, BU will look closely at the qualities, skills and background of each candidate and what they can bring to their chosen research project in order to ensure successful completion.
Applicants will be asked to submit an online application form and a proposal (approximately 1500 words) outlining their understanding of the project for which they are applying, the approach they would envisage taking and what qualities they will bring to the research community.
Closing date: The closing date for applications is 28 February 2023.
For further information on how to apply click the ‘Apply’ button above or email email@example.com
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