PhD scholarship at Trinity College Dublin
Mimi ZHANG
Location: Trinity College Dublin
Funding for: EU and non-EU students
Funding amount: very competitive (see Salary below)
Hours: Full Time
Closing date: 28/Feb/2023
PhD starting time: 1/Sep/2023
Project details: The School of Computer Science and Statistics in Trinity College Dublin is now inviting applications for a fully funded PhD scholarship, in the broad area of functional data and image data machine learning. The candidate will be supervised by Prof. Mimi Zhang (primary) and Prof. Michael Monaghan (secondary). The scholarship is funded by H2020/Marie-Skłodowska-Curie Joint Doctoral Network (https://flimagin3d.com/). Your PhD research will be focusing on both methodology (50% time commitment) and application (50% time commitment). For methodology, you will be working on the frontier of functional data cluster analysis. For application, you will see on the project website (PhD project #1, the machine learning pipeline) that we will develop novel machine learning algorithms to classify cell behaviour and phenotype based on FLIM data. After the PhD study, you will develop strong skills in methodology, optimization, and programming and have hands-on experience on dealing with large and complex data.
Salary: The salary consists of a monthly living allowance (€4063), mobility allowance (€600), family allowance if applicable (€495), and financial support towards the student’s conference and training travel.
Information about salary for PhDs can be read on the MSCA Horizon Europe programme call (https://ec.europa.eu/info/funding-tenders/opportunities/docs/2021-2027/horizon/wp-call/2021-2022/wp-2-msca-actions_horizon-2021-2022_en.pdf), beginning on page 78.
The salary above is funded by European Commission and is guaranteed for three years. The PhD study is funded for four years, with the fourth year funded by SFI (with stipend currently at the rate of €18,500 per annum).
Candidate description: A Bachelor’s degree in statistics, math, computer science, or closely related subjects is required. The candidate is expected to have a sound theoretical and practical knowledge on statistics, as well as strengths in programming.
How to apply: Candidates must submit their applications through the project website (www.flIMAGIN3D.com) until February 28th, 2023.