The University of Manchester
The University of Manchester is a truly global institution with a reputation for education and innovation that resonates across the world, offering a wide range of courses and boasting outstanding facilities in the centre of Manchester. With 25 Nobel Prize winners among its current and former staff and students, it has a history of world firsts and brilliant discoveries. Manchester’s industrial and cultural heritage is mirrored by the achievements of some of the University’s most celebrated names. The computer revolution started here in June 1948 when a machine built by Tom Kilburn and Sir Freddie Williams, known affectionately as ‘The Baby’, ran its first stored program. The celebrated wartime codebreaker Alan Turing worked on this computer during his time at Manchester.
The University is committed to world-class research, an outstanding learning and student experience and social responsibility in everything it does. It is making one of the largest investments in facilities ever seen at a UK university, with £750 million spent so far and a further £1 billion to follow by 2022. Its goal is to become one of the world’s leading Universities.
About IT Services
IT Services at the University of Manchester is a vibrant and fast-moving department, we focus on delivering excellent customer service and quality services for our staff, students and researchers.
Find out more about our organisation and values:
Research IT provides research-focused, specialist computing infrastructure, software engineering, data science, application support and training to researchers across a wide range of domains, who have diverse technical requirements. Our scope includes the support of disciplines that may not traditionally be regarded as IT-intensive, for example the increasing importance of digital technologies within various lines of Humanities research.
You will join a team of probabilistic modellers and machine learning researchers developing new principles for AI-assistants, which are able to help their users even when the goals are only partially known, such as in the beginning of scientific research. The team will have expertise on multiple topics; you are expected to have experience in software and algorithm development relevant to the core expertise of the team - probabilistic modelling and machine learning - and be interested in working on the more specialised topics with the team.
The group will be working on topics including automatic experimental design, Bayesian inference, human-in-the-loop learning, machine teaching, privacy-preserving learning, reinforcement learning and simulator-based inference.
You will ideally have knowledge of some or all of the following skills:
- Probabilistic programming
- Deep learning libraries
When addressing the person specification criteria in your application for this role, please ensure you refer to the specific role requirements above.
Our University is positive about flexible working – you can find out more here.
Blended working arrangements may be considered.
- Vacancy, shortlisting and interviews: Robert Haines at firstname.lastname@example.org
- General enquiries: People.email@example.com
- Technical support: https://jobseekersupport.jobtrain.co.uk/support/home
To apply, please visit https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=22564
Closing date: 30 June 2022.
As an equal-opportunity employer, we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.