Research Assistant or Officer - SUSTAIN Digital Modelling
Applications are invited for a Fixed Term Research Assistant or Research Officer in Advanced Digital Modelling to enable a sustainable future and a transformation to net-zero. You will join Professor Beckmann and Professor Giannetti’s research group on Hybrid AI for Industry and Society at Swansea University, as well as the wider modelling, data and AI research community (first point of contact Professor Beckmann) and the wider materials and manufacturing research community (first points of contact will be Professor Giannetti and Professor Pleydell-Pearce) within the Faculty of Science and Engineering.
The successful candidate will be responsible to conduct genuine research and innovation to enable knowledge driven Industry 4.0 capabilities for steel manufacturing that address sustainability and a transformation to net-zero. The successful candidate will work closely with researchers focussed on data driven approaches, and academics and researchers in other UK universities contributing to SUSTAIN (see below).The successful candidate will have experience in applying AI and/or knowledge management systems to any sector, including health, transport, social science, etc.
This post is part of the EPSRC funded SUSTAIN Future Manufacturing Hub (https://www.sustainsteel.ac.uk/). SUSTAIN is an exciting collaborative project between the Universities of Swansea, Warwick and Sheffield working with the UK steel industry.
This project will link to SUSTAIN’s UK Digital Steel Innovation Hub (https://www.sustainsteel.ac.uk/data-driven-innovation), supporting both grand challenges in the SUSTAIN Hub of ‘Zero Waste, Carbon Neutral Iron- and Steelmaking’ and ‘Smart Steel Processing’.The project is also linked to the Materials Made Smarter Research Centre as part of Made Smarter Innovation (https://www.madesmarter.uk/made-smarter-innovation/research-centres/), researching the emerging concept of Material Passports and their uses within the SUSTAIN and MMSC context as an enabler for sustainability and net-zero.
As such, we are looking for candidates who are passionate about linking the fields of physics / knowledge driven approaches to modelling steel manufacturing through collaboration with other researchers and teams.