Job title
RA - Machine Learning and Artificial Intelligence for Data-driven Analytics
Job reference
REQ231308
Date posted
26/10/2023
Application closing date
26/11/2023
Location
Loughborough
Package
Specialist and Supporting Academic Research grade 6 from £33966 to £44263
Job description
Loughborough University has an exciting opportunity to join the Wolfson School of Mechanical, Electrical and Manufacturing Engineering as a Research Associate in Machine Learning and Artificial Intelligence for Data-Driven Analytics
Fixed-Term for 12 months, with the possibility of extending.
The post can be on a full-time or part-time basis and be based on campus or remote working. Job Share and lower FTE would be actively considered.
Data analytics methods are increasingly being applied to understanding materials discovery, processing parameters in manufacturing and for system optimisation with regards to increased efficiency, safety, sustainability and profitability. These data-driven techniques are also being used to enhance “human-in-the-loop” scenarios and where root-cause analysis needs to explain issues that inform re-designs or de-risk investments.
We are looking for a data scientist who can utilise machine learning algorithms and tools to model manufacturing processes and materials discovery to support parameter optimization and decision making.
For the full job description and person specification please see here.
Informal Enquiries
Informal enquiries should be made to Prof Carmen Torres-Sánchez, Principal Investigator by email at [email protected] or by telephone on +44 (0) 1509 227 518 or Prof Andrew West, Principal Investigator by email at [email protected] or by telephone +44 (0) 1509 227 550.
Applicants are invited to attach their best journal publication to their application. Please upload all your documents as a single file.
Application closing date: 26 November 2023
Visa Sponsorship:
For candidates who would require sponsorship to work in the UK to achieve sufficient points under the Points Based Immigration System, it is likely that you will either need to:
OR