|Salary:||£41,732 to £64,914 per annum, Grade J/ K / L|
|Placed On:||10th November 2023|
|Closes:||13th December 2023|
The School of Engineering Mathematics and Technology at the University of Bristol is seeking to appoint a Senior Lecturer / Associate Professor whose research encompasses neural computation, machine learning and AI. If you are earlier in your career the post is also available at Lecturer level.
The University of Bristol is an exciting centre for research into the nature of computation and inference in humans, animals and machines. Our computational neuroscience group has made important contributions in, for example, Bayesian approaches to data and inference, biomimetic deep learning, neurolinguistics and the theory of neural networks. The University has a long tradition of cross-disciplinary research and Computational Neuroscience is part of both the Bristol Neuroscience Network and the Intelligent Systems Group; we are recognised for our central role in the local neuroscience and machine learning/AI communities.
You would be joining the University at an exciting time as we embark on a £500M investment in our new campus and while we create a home for the UK’s AI Research Resource with the UK’s most powerful supercomputer. We are committed to an inclusive and diverse environment where everyone can thrive. We welcome applicants from all backgrounds, especially those from under-represented communities. We offer flexible working arrangements to help balance professional and personal commitments.
What will you be doing?
You will conduct research at the interface between computational neuroscience and machine learning and contribute to the associated teaching on our degree programmes and to academic administration. You will take part in our lively research community and join our internationally renowned researchers in producing high-quality research with the potential to secure research funding.
You should apply if
For a full view of requirements please look at the job description attached below, but if the below describes you, we’d encourage you to apply.
We are seeking a candidate with a recognised and strong track record in a relevant research area. In addition to your research achievements, you should have experience in attracting research funding from industry or government and a commitment to collegiality and to imparting knowledge to students in an enthusiastic, effective, and innovative manner. You should also have a strong commitment to Equity, Diversity, and Inclusivity, ensuring that our community is diverse, inclusive, and accessible to all.
For informal queries please contact Prof Tony Mulholland, email: email@example.com.
To find out more about what it's like to work in the Faculty of Engineering, and how the Faculty supports people to achieve their potential, please see our staff blog:
Interviews are anticipated to be held on 12 January 2024.
Our strategy and mission
We recently launched our strategy to 2030 tying together our mission, vision and values.
The University of Bristol aims to be a place where everyone feels able to be themselves and do their best in an inclusive working environment where all colleagues can thrive and reach their full potential. We want to attract, develop, and retain individuals with different experiences, backgrounds and perspectives – particularly people of colour, LGBT+ and disabled people - because diversity of people and ideas remains integral to our excellence as a global civic institution.
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