Artificial Intelligence and Data Analytics in Materials Processing

Expressions of Interest for PhD position in I-Form, the SFI Research Centre for Advanced Manufacturing

Submit an Expression of Interest!

I-Form, the SFI Research Centre for Advanced Manufacturing seeks to attract outstanding students to work on cutting-edge research projects in additive manufacturing along with the digitalisation of materials processing. Amongst the funded PhD projects are those in metal additive manufacturing, multi-material printing and Artificial Intelligence applications for advanced manufacturing. Opportunities exist, under the supervision of the Centres’ academics at our seven partner academic institutions in Ireland (Dublin, Galway, Maynooth, Sligo, Waterford).

We invite expressions of interest (EOI) from applicants with a first or upper second-class honours degree in a science or engineering discipline for a PhD position in the topic listed below. Following the internal review process, the successful candidate will be invited to submit an application. EOIs are welcome from suitably qualified applicants worldwide.

Please submit your Expression of Interest with a CV by email to info@i-form.ie stating clearly in which one of the three Platform research areas (detailed below) for which you would like to submit an application.

For further information on I-Form and our core research see our website: https://www.i-form.ie/

Platform and Research Topic:

Platform: Artificial Intelligence and Data Analytics in Materials Processing

Objective: To create and apply novel Artificial Intelligence (AI) and data analysis techniques and tools that will rapidly analyse Additive Manufacturing process data to provide real time feedback and control.

Overview: This Platform will develop and integrate a range of computational tools for additive manufacturing in order to achieve enhanced processing efficiencies and to enable improvements in sustainability. The research work in this Platform will include data analysis for both AM alloy parts and multi-material printing. The role of human oversight and decision making in AI drive process understanding and control will also be researched.

Research Topics:

1.     Time series analysis.

2.     Anomaly detection.

3.     Image analysis.

4.     Bayesian optimisation.

5.     Active learning and human-in-the-loop.

6.     Deep reinforcement learning for real-time closed-loop control.