Co-ordinated earth observation, in-situ, and drone data analytics for observing environmental and climatic change

The candidate will work with Prof Andrew Parnell and Dr Gerard McCarthy’s research group in statistics and machine learning and climate change (respectively), and also as part of the wider group funded by SFI for the ‘Predict’ project involving Dublin City University, University College Cork, and the Geological Survey of Ireland. The research programme will involve analysing in-situ, drone and satellite data for observing various environmental variables in Dublin bay, especially sea level rise. The successful student will contribute to new statistical methodology in assessing the impact of climate change on Dublin’s coastal region.

All applicants must have
• Relevant 2:1 degree (or higher) in Mathematics, Engineering, Physics, Computer Science, Statistics, Machine Learning, Data Science, or similar qualification
• Ability to code in one or more of Matlab, C, R or Python
• Strong linear algebra and calculus skills
• Excellent written and verbal communication and presentation skills in English

The studentships are for 48 months and include a tax free stipend of €18,500 p.a. and the payment of academic fees up to a maximum of €5,500 per annum, as well as a computer and travel allowance.

Application Procedure: send a curriculum vitae and a cover letter to [Email Address Removed] with PHD X in the subject line indicating the desired PhD project. Candidates are allowed to express interest in multiple PhD proposals

Closing Date: 1st March 2019.

Interview: Date to be advised. Appointments from April/May 2019.