Role: Research Associate / Research Fellow in Digital Twin-driven Predictive Maintenance for Smart Manufacturing (SmartNanoNI)
Department: School of Computing, Engineering and Intelligent Systems
Grade: Appointment at Research Associate level - Grade 6/7 (£32,564 - £46,761 per annum) or Research Fellow level - Grade 8 (£48,148 per annum)
(Fixed-Term until 30th November 2027 / Full-time)
Job Purpose:
The post holder will work within the Smart Nano manufacturing Northern Ireland (Smart Nano NI) consortium (https://www.smartnanoni.com). Smart Nano NI is a £40M UKRI Strength in Places Fund (SIPF) multi-partner project, collaborating to develop game-changing advanced prototyping and smart manufacturing methods to deliver new intelligent technologies and facilitate fabrication of Smart Nano products.
This project offers an exciting opportunity for a researcher with experience in digital twin and machine learning, interested in understanding and addressing challenging data analytics problems. Working alongside the PI at the Intelligent Systems Research Centre (ISRC), the post holder will develop leading digital twin solutions including predictive modelling and simulation, data integration and management, human-virtual system interaction, machine learning algorithms, and/or multi-objective co-evolutionary optimisation methods to address some of the major challenges associated with a range of manufacturing challenges.
The post holder will contribute to planning research, managing and analysing data, developing software and technologies for experiments and prototyping real-time digital twin and AI solutions, and will be expected to contribute to reporting results and publishing the results of the research in high-impact journal publications.
Appointment will be made at either Research Associate or Research Fellow level.
Closing date: 23rd March 2025 at 23:30
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