Research Associate or Research Fellow In Machine Learning (3 Posts Available)
Applicants are invited for the posts of Postdoctoral Research Associate or Research Fellow in Machine Learning to work with AI Researchers in the Centre for AI Fundamentals at the University of Manchester.
Join a team of probabilistic modellers and machine learning researchers developing new collaborative AI principles and methods. The project is part of Professor Kaski’s UKRI Turing AI World‑Leading Fellowship. Work will involve developing new principles and methods for Advanced User Modelling, sequential decision making and Automatic Experimental Design, with and without a Human‑in‑the‑Loop. 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.
Qualifications
A PhD (or equivalent) in a relevant discipline is required. You should have excellent organisational skills and the ability to work well both in a team and using your own initiative. Experience in research methods and techniques to work within established research programmes is essential.
Employment details
Seniority level: Internship
Employment type: Full‑time
Job function: Other
Industries: Higher Education
Benefits
* 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
Equal Opportunities
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.
Recruitment
Our University is positive about flexible working – you can find out more here. Hybrid working arrangements may be considered.
Due to the number of applications we unfortunately may not be able to provide individual feedback on your application.
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 CVs submitted by a recruitment agency will be considered a gift.
Enquiries
Name: Barbara Ruggeri
Email: ai-fun@manchester.ac.uk
General enquiries: People.recruitment@manchester.ac.uk
Technical support: 0161 850 2004. https://jobseekersupport.jobtrain.co.uk/support/home
For the Further Particulars document see the attached link in the vacancy.
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