Location: | Southampton |
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Salary: | £34,980 to £41,732 Per annum |
Hours: | Full Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 27th March 2024 |
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Closes: | 24th April 2024 |
Job Ref: | 2534723FP-R |
Research Fellow in Bayesian Deep Learning
We are seeking applications for a research fellow at the University of Southampton within the Vision, Learning and Control (VLC) Group in Electronics and Computer Science, to work in the area of Bayesian deep learning. The position is available on a fixed term basis for 36 months due to funding restrictions.
You will be working under the direction of Dr Christine Evers on the EPSRC research programme “Challenges in Immersive Audio Technology (CIAT)” (https://gow.epsrc.ukri.org/NGBOViewGrant.aspx?GrantRef=EP/X032981/1) conducted in collaboration between King’s College London, University of Surrey, and University of Southampton. You will address fundamental research questions surrounding the complexity, generalisability, and interpretability of Bayesian models. You will apply your research outputs to audio data with the aim to predict sound field attributes that are perceptually relevant to human listeners.
We are seeking candidates with a Ph.D. (either awarded or nearing completion) or equivalent professional qualification and experience in Machine Learning, Statistics, or a related field, who have in-depth knowledge in and demonstrable experience with:
As part of your role, you will:
You will benefit from:
Ranked in the top 1% of universities globally and among the UK's top 20 for research, the University of Southampton has an international reputation for its research, teaching and enterprise activities. The post will be held in the School of Electronics and Computer Science (ECS), a friendly and supportive environment that facilitates high-impact, multi-disciplinary research, education, training, and outreach. ECS holds an Athena SWAN bronze award in recognition of its continued commitment to improving equality for women in science and engineering.
We will give due consideration to applicants who wish to work flexibly including part-time, and to those who have taken a career break. We have a range of staff development programmes and a unique mentoring and wellbeing scheme (https://www.ecs.soton.ac.uk/workinghere).
Informal enquiries can be made to Dr Christine Evers, Associate Professor: c.evers@soton.ac.uk
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