Research Fellow in Bayesian Machine Learning for

5 months ago


Southampton, United Kingdom University of Southampton Full time

**2534723FP-R**

**Research Fellow in Bayesian Deep Learning**
- Bayesian deep learning;
- Development of custom modules using GPU-accelerated APIs for deep learning (e.g., Pytorch); and
- Development of bespoke data loaders and pipelines.

As part of your role, you will:

- Publish and disseminate your findings at top-tier venues (e.g., NeurIPS, ICLR, ICML, IEEE Transactions);
- Collaborate with our external project partners to broaden the scope of your research;
- Liaise with our industry partners to ensure commercial impact of your research; and
- Develop and participate in activities for engagement with the public, policymakers and key stakeholders.

You will benefit from:

- Extensive opportunities for collaboration between the University of Southampton, King’s College, and University of Surrey, as well as external, international project partners (e.g., Stanford CCRMA, USA).
- Opportunities to travel, e.g., for international conferences and research visits hosted by project partners.
- Access to state-of-the-art research facilities, including a high-performance compute cluster that is specifically aimed at workloads requiring large amounts of GPU memory or long run times.
- A vibrant, diverse, and inclusive academic community.
- Opportunities for career development, including contributions to teaching, generation of future funding bids, and co-supervision of PhD, taught postgraduate and undergraduate projects.

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.**Further details**:

- Job Description and Person Specification

We are committed to equality, diversity and inclusion and welcome applicants who support our mission of inclusivity.


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