Research Associate in Artificial Intelligence Powered Framework for OnLine Production Scheduling
Join to apply for the Research Associate in Artificial Intelligence Powered Framework for OnLine Production Scheduling role at The University of Manchester
Research Associate in Artificial Intelligence Powered Framework for OnLine Production Scheduling
6 days ago Be among the first 25 applicants
Join to apply for the Research Associate in Artificial Intelligence Powered Framework for OnLine Production Scheduling role at The University of Manchester
Get AI-powered advice on this job and more exclusive features.
Overall purpose of the job:
This position is to deliver a next generation autonomous online scheduling framework in response to different types of disruptions in the chemical manufacturing industry using machine learning techniques. You will be responsible for the evaluation of energy consumption for industrial data reconciliation and preparation of process scheduling models, quantification of different types of uncertainty and the development of data-driven autonomous techniques for online scheduling. You will collaborate seamless with academics from University College London for such development. You will also work closely with the industrial partners to test the new online scheduling framework in a practical context and demonstrate the benefit.
Overall purpose of the job:
This position is to deliver a next generation autonomous online scheduling framework in response to different types of disruptions in the chemical manufacturing industry using machine learning techniques. You will be responsible for the evaluation of energy consumption for industrial data reconciliation and preparation of process scheduling models, quantification of different types of uncertainty and the development of data-driven autonomous techniques for online scheduling. You will collaborate seamless with academics from University College London for such development. You will also work closely with the industrial partners to test the new online scheduling framework in a practical context and demonstrate the benefit.
The position requires strong expertise in process systems engineering, mathematical modelling, optimisation, machine learning, and artificial intelligence.
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: Dr Jie Li
Email: jie.li-2@manchester.ac.uk
Or
Name: Dr Dongda Zhang
Email: Dongda.zhang@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.
Seniority level
* Seniority level
Entry level
Employment type
* Employment type
Full-time
Job function
* Job function
Engineering and Information Technology
* Industries
Higher Education
Referrals increase your chances of interviewing at The University of Manchester by 2x
Get notified about new Software Scientist jobs in Manchester, England, United Kingdom.
Knutsford, England, United Kingdom 2 weeks ago
Manchester, England, United Kingdom 2 days ago
Manchester, England, United Kingdom 1 week ago
Macclesfield, England, United Kingdom 1 week ago
Manchester, England, United Kingdom 3 months ago
Senior Software Engineer, Backend - Full or Part Time
Manchester, England, United Kingdom 2 weeks ago
Oldham, England, United Kingdom 3 days ago
Manchester, England, United Kingdom 1 day ago
Python Backend Junior Software Engineer - Remote 4 days a week (Europe)
Manchester, England, United Kingdom $30,000.00-$40,000.00 1 month ago
Manchester, England, United Kingdom 1 month ago
Stockport, England, United Kingdom 1 week ago
Manchester, England, United Kingdom 1 month ago
Greater Manchester, England, United Kingdom 2 weeks ago
Greater Manchester, England, United Kingdom 2 months ago
Internship - AI Embedded Software Engineer (Italy Based)
Manchester, England, United Kingdom 3 months ago
Greater Manchester, England, United Kingdom 2 months ago
Manchester, England, United Kingdom 3 months ago
Junior Software Engineer - Cross-platform C++ - Multipass
Manchester, England, United Kingdom 1 week ago
Manchester, England, United Kingdom 2 weeks ago
Software Engineer (Remote from within The UK)
Manchester, England, United Kingdom 1 week ago
Manchester, England, United Kingdom 1 month ago
Manchester Area, United Kingdom 1 week ago
Manchester, England, United Kingdom 6 days ago
Manchester, England, United Kingdom 15 hours ago
Software Engineer - Graduate Scheme - September 2025
Manchester, England, United Kingdom 4 days ago
Greater Manchester, England, United Kingdom 6 days ago
Manchester, England, United Kingdom 17 hours ago
Senior Software Engineer (Kotlin) - 6 month contract
Greater Manchester, England, United Kingdom 6 days ago
Manchester, England, United Kingdom 1 day ago
Knutsford, England, United Kingdom 1 month ago
Software Engineer - Python - Container Images
Manchester, England, United Kingdom 1 week ago
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr