Prof Tomas Ward
No more applications being accepted
Funded PhD Project (Students Worldwide)
About the Project
Applications are invited for a PhD fellowship at the INSIGHT Centre for Data Analytics, Dublin City University. The position is funded by Allied Irish Banks. The research project will be carried out in collaboration with the Universidad Carlos III de Madrid in Spain and the Geary Institute at University College Dublin.
This is a 4 year fully funded structured PhD position with a stipend of €18,500 per year (tax-free, tutition fees are paid for by AIB). There will be additional support for exchange visits to Madrid, as well as sponsorship for international conference travel.
The topic:
This research project will focus on the application of techniques from machine learning and artificial intelligence to gather data on user social and environmental contexts for the purposes of experimental exploration of user decision making in natural settings. This is a multidisciplinary research topic and requires interaction with social scientists, computer scientists, mathematicians and psychologists. Candidates with an interest in behavioural psychology and cognitive science are likely to find the research particularly interesting. Further details will be explained during the two-way interview phase.
Essential Skills:
- Software development (mobile platforms)
- Excellent communication skills, verbal and written (English)
Desirable skills:
- An interest in working with people from other disciplines
- Signal processing
- Statistics
Informal queries about this position should be sent to [Email Address Removed].
Application process:
Interested applicants are requested to submit (in pdf format):
- a Curriculum Vitae including relevant publicationsand the name and contact details of 2 referees
- a one page cover letter explaining your interest in this specific position.
- a copy of your undergraduate/postgraduate thesis report
Submissions should be sent by email with subject “AIB-PHD Application” to [Email Address Removed].
Interviews will be carried out as soon as suitable candidates are identified.
Funding Notes
An MEng in Computer/Electronic Engineering or a BSc or MSc Degree in Computer Science or Mathematics or other relevant discipline is expected but candidates with other backgrounds will be considered on a case-by-case basis.
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