Job Description

Applications are invited for a Postdoctoral Research Associate to work on AIOLOS: Artificial Intelligence powered framework for OnLine prOduction Scheduling.

This project is an EPSRC funded collaboration between The University of Manchester and University College London (UCL). (https://gow.epsrc.ukri.org/NGBOViewGrant.aspx?GrantRef=EP/V051008/1). It 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 UCL for such development. You will also work closely with industrial partners to test the new online scheduling framework in a practical context and demonstrate the benefit.

You will have, or be about to obtain, a relevant PhD (or equivalent) in process systems engineering, computer science, operations research, industrial engineering, or closely related field together with an excellent track record of international publications. Examples of field interests include advanced planning and scheduling, metaheuristics, machine learning, mathematical modelling, and optimisation. Research experience in machine learning, artificial intelligence, and optimisation are particularly preferred.

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

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

Enquiries about the vacancy, shortlisting and interviews:

Name: Dr Jie Li or Dr Dongda Zhang

Email: or

General enquiries:

Email:

Technical support:

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.

University of Manchester