Research Associate Reinforcement Learning for - Whitehaven, United Kingdom - The University of Manchester

The University of Manchester

Verified Company

Whitehaven, United Kingdom

2 weeks ago

Posted by:

Tom O´Connor

beBee Recruiter

Description

The performance of reinforcement learning when applied to robotic systems is still limited, particularly in relation to the reliability and mission success rates.

A major issue is the need to manually design the reward function for each robotic problem, which requires the designer to be knowledgeable and skilled in the field, as well as relying on an inefficient trial and error methodology.

This often leads to suboptimal behaviors, such as robots becoming stuck in suboptimal rewards or repeatedly performing the same action.

Qualifications and experience:

You must hold a PhD degree (or equivalent) in the field of robotics, engineering or computer science.
You must have research experience in machine learning, robotics, and/or computer vision and in the development and testing of robotic systems.
You must have practical experience of system integration (mechanical, electrical and software integration).
You must have excellent interpersonal skills, work effectively in a team and have experience of preparing and delivering presentations, reports and journal papers to the highest levels of quality.

More detailed information about the responsibilities of the post and selection criteria can be found in the 'Further Particulars' document attached at the bottom of this advert.

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:
Pawel Ladosz

General enquiries:

Technical support:

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