PhD Studentships in the Hamilton Institute for Mathematics, Communications and Computation
Applications are invited for a number of fully funded full-time EU PhD studentships available at Maynooth University (Ireland) in the area of Bayesian machine learning supervised by: Professor Andrew Parnell CStat, Hamilton Institute, Maynooth University
Research areas include: Bayesian additive regression trees, multivariate factor models, anomaly detection, and closed-loop control theory. Company partners include IBM and Clavis Insight. Further application areas include bioinformatics and environmental monitoring.
Candidate Profile: Applicants should be prepared to start between July and October 2018, and have a thorough grounding in Bayesian statistics and R.
Scholarship details: Each PhD studentship comprises a tax-free stipend of EUR18.5k over 4 years, a computing budget, and a generous travel allowance. All queries should be addressed to email@example.com.
The Hamilton Institute for Mathematics, Communications and Computation
Founded in 2001 with support from Science Foundation Ireland, the Hamilton Institute has been internationally recognized for its work across communication networks, mathematical biology and fundamental mathematics. Current areas of interest for the institute include the improvement of privacy in online systems, the application of probability to immunology and the enhancement of randomised network protocols. Graduate education has always been a core activity of the Hamilton Institute with 35 PhD students and 17 MSc (Research) students graduated since 2003. The institute, in collaboration with the Centre for Telecommunications Value Research (CTVR) in Trinity College Dublin, established the Network Mathematics Graduate Programme (funded under PRTLI 4) and was actively involved in the national Telecommunications Graduate Initiative (funded under PRTLI 5). Further information on the Hamilton Institute is available at www.maynoothuniversity.ie/hamilton
The Psychology Department has a range of research opportunities open to PhD and MSc prospective students. Please visit the Psychology Department website for more information.