|Salary:||£28,452 to £32,004 per annum together with USS pension benefits|
|Placed On:||10th September 2018|
|Closes:||27th September 2018|
Main Purpose of the Post
We are seeking for talented and innovative individuals to contribute to the EPSRC-UKRI Innovation Fellowship programme ‘Transfer Learning for Robust, Resilient and Transferable Cyber Manufacturing Systems’ (EP/S001387/1). The aim of the research project is to collaboratively work with industrial partners to help to achieve the aims of the UK Industrial Strategy and sustain economic growth in the UK by increasing adoption of Artificial Intelligence and Machine Learning in production processes and supply chains. The project will transform the way Machine Learning is used in manufacturing by developing novel methods and resources for predictive and prescriptive operations of digitalised manufacturing systems, with the potential to increase efficiency, accuracy and productivity of manufacturing processes.
The post holder will work with the Principal Investigator and other academics at Swansea University to carry out research and engagement activities to overcome current barriers in the uptake of AI and Machine Learning in production processes and will build, test and deploy predictive models based on Transfer Learning that are robust to noise, scalable and can be transferred across different domains. This is an exciting opportunity to carry out research that will help to innovate and contribute to transform the UK Manufacturing sector.
The EPSRC-UKRI Innovation Fellowship project is aligned with the IMPACT operation’s theme in the area of Future Manufacturing Technologies and the post holder will be expected to undertake applied Research, Development and Innovation research activity to contribute towards the aims and objectives of the IMPACT operation. The IMPACT (Innovative Materials, Processing And numeriCal Technologies) operation has been part-funded by the European Regional Development Fund through the Welsh Government and Swansea University. IMPACT will deliver a research centre in a new purpose built facility with state-of-the-art equipment, embedded in the Swansea Bay Campus College of Engineering. It will provide a sustainable, highly competitive, world-class resource and capacity in Materials, Processing and Numerical Technologies, driving innovation within Advanced Engineering and Materials, Wales’ Smart Specialisation Grand Challenge area.
Informal enquiries contact details and Further Information
Informal enquiries are welcome and can be directed to Dr Cinzia Giannetti at email@example.com
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