Research Associate in Machine Learning - Manchester, United Kingdom - The University of Manchester

Tom O´Connor

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Tom O´Connor

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Description
Applicants are invited for the post of Research Associate in probabilistic machine learning.


The team is funded by an UKRI Turing AI World-Leading Fellowship and hosted in the recently established Centre for AI Fundamentals, which is cross-Faculty initiative with significant internal investment, forming a core of an ambitious plan to establish Manchester as an internationally leading centre for AI research and innovation.


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.

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


Enquiries about the vacancy, shortlisting and interviews:

Name:
: Angel Harper (


FAO:
Professor Samuel Kaski)


General enquiries:


Technical support:

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

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