Research Associate in Machine Learning

Manchester                 ·                Full time

Research Associate in Machine Learning

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Job reference: SAE-024249

Salary: £36,024 – £44,263 per annum depending on relevant experience

Faculty/Organisational Unit: Science and Engineering

Location: Oxford Road

Employment type: Fixed Term

Division/Team: Department of Computer Science

Hours Per Week: Full Time (1 FTE)

Closing date: 28/01/2024

Contract Duration: 24 Months

School/Directorate: School of Engineering

Applicants are invited for the post of Postdoctoral Research Associate at the interface between probabilistic machine learning and sustainability.

You will join a team of probabilistic modellers and machine learning researchers developing new collaborative AI principles and methods. This is an exciting topic which inspires new problems in fundamental ML work, and allows attacking new applications which make a difference, for instance in scientific research. Different team members have different expertise, and by working together are able to address more novel problems. Keywords include automatic experimental design, Bayesian inference, human-in-the-loop learning, machine teaching, privacy-preserving learning, reinforcement learning, inverse reinforcement learning, computational rationality and user modelling, and simulator-based inference. These probabilistic models will be used to improve sustainability in a collaboration with the Sustainable Materials Innovation Hub, using – for the first time – sustainability inputs to direct outcomes. Prior experience in sustainability or life cycle assessment is a plus but not required.

The team is funded by a collaborative Horizon Europe project and is jointly hosted in the recently established Centre for AI Fundamentals and Sustainable Materials Innovation Hub. These cross-Faculty initiatives sit at the interface between university’s excellence in AI and environmental sustainability research and innovation.

The University actively fosters a culture of inclusion and diversity and seeks to achieve true equality of opportunity for all members of its community. The Faculty welcomes applications from all sections of the community and are committed to having a representative workforce. Across our Schools/Departments, we hold Bronze and Silver Athena SWAN Awards, which recognise our commitment to equality, diversity, inclusion and access and particularly the advancement of women’s careers in STEM. 

The University also holds a Bronze Race Charter Mark recognising our commitment to improving the representation, progression and success of minority ethnic staff and students within higher education. In addition, we are a Disability Confident Employer, guaranteeing an interview for any disabled applicant who meets the essential criteria for a job. 

What you will get in return:

• Fantastic market leading Pension scheme
• Excellent employee health and wellbeing services including an Employee Assistance Programme
• Exceptional starting annual leave entitlement, plus bank holidays
• Additional paid closure over the Christmas period
• Local and national discounts at a range of major retailers

As an equal opportunities 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.

Our University is positive about flexible working – you can find out more here

Hybrid working arrangements may be considered.        

Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.

Any recruitment enquiries from recruitment agencies should be directed to People.Recruitment@manchester.ac.uk.

Any CV’s submitted by a recruitment agency will be considered a gift.

Enquiries about the vacancy, shortlisting and interviews:

Name: Angel Harper

Email: angel.harper@manchester.ac.uk (please cc’ in Samuel Kaski samuel.kaski@manchester.ac.uk and Professor Michael Shaver michael.shaver@manchester.ac.uk)

General enquiries:

Email: People.recruitment@manchester.ac.uk

Technical support:

https://jobseekersupport.jobtrain.co.uk/support/home

This vacancy will close for applications at midnight on the closing date.

Please see the link below for the Further Particulars document which contains the person specification criteria.

SAE-024249 Research Associate in Machine Learning Further Particulars

Please click here to apply.