Research Associate or Research Fellow In Machine Learning (3 Posts Available)

The University of Manchester; Manchester; Hybrid; GBP 37,000 - 59,000; Full time

Job summary

A leading research university in Manchester seeks a Postdoctoral Research Associate or Research Fellow to work in Machine Learning. You will engage in collaborative AI research projects focusing on advanced modelling and experimental design. Applicants should have a PhD in a relevant field, excellent organizational skills, and research experience. The role offers competitive salaries and exceptional benefits, including a leading pension scheme and annual leave.

Benefits

Fantastic market leading Pension scheme

Employee Assistance Programme

Exceptional annual leave entitlement

Additional paid closure over Christmas

Local and national discounts

Qualifications

• Experience in research methods and techniques.
• Ability to work well both in a team and independently.

Responsibilities

• Develop new collaborative AI principles and methods.
• Work on projects related to Advanced User Modelling and sequential decision making.

Skills

Research methods

Organisational skills

Team collaboration

Education

PhD or equivalent in a relevant discipline

Job description

£37,694 to £46,049 (Research Associate) / £47,389 to £58,225 (Research Fellow) per annum, depending on relevant experience

Contract NEW 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. 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. The post‑holder will work on a project from Professor Kaski's UKRI Turing AI World‑Leading Fellowship. Research here includes work to develop new principles and methods for Advanced User Modelling, sequential decision making and Automatic Experimental Design, with and without a Human‑in‑the‑Loop.

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.

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.