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Materials design with machine learning and soft computing


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  Dr John Healy, Dr A Akande, Dr Syam Kumar  No more applications being accepted  Competition Funded PhD Project (Students Worldwide)

About the Project

Project description:  

The problems of ever-rising global energy consumption, rapidly decreasing availability of fossil fuels, increasing levels of pollution and global warming all require solutions that are sustainable, clean and renewable. The breadth and complexity of these problems necessitates a multidisciplinary response involving expertise in areas as diverse as Physics, Chemistry, Computer Science, Environmental Science and Nanotechnology. Over recent decades, each of these disciplines have developed significant data repositories that contain a wealth of information that can potentially be mined, combined, orchestrated and exploited to yield knowledge and insights. The objective of this project is to exploit advances in machine learning and soft computing to analyse, mine and extract information from material and life science databases and then apply this knowledge to create practical solutions to problems. 

 Project objectives: 

  • Exploit machine learning to mine and extract useful information from material science databases and profile emerging materials from experiment and theory. 
  • Perform sophisticated calculations on selected systems to gain insights into any exceptional attributes that may be targeted towards energy and bioinformatics applications. 
  • Propose and develop novel materials to advance the state of the art of energy and bioinformatics applications. 


Please send to Sean Walker – [Email Address Removed] only using the application form.

Application Form / Terms of Conditions can be obtained on the website:

The closing date for receipt of applications is 5pm, (GMT) 21st February 2022

Funding Notes

Unit costs per PRTP scholar p/a:
Stipend: €19,000 gross, €16,000 nett (nett stipend of €16,000 p/a is after deduction of €3,000 p/a student contribution).
Tuition fees: Waived by each institute (fee waivers may be partial for non-EU candidates).
Consumables, Mobility, and Training: Up to €3,500 p/a for non-laboratory, desk-based research; Up to €4,500 p/a for studio, or fieldwork research; Up to €5,500 p/a for laboratory-based research

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