Three PhD STUDENTSHIPS: Advanced Bayesian Computation for Cross-Disciplinary Research
PhD studentships
Universities of Warwick, Kent, and Cambridge
Starting September/October, 2011
We are looking for three PhD students to join our interdisciplinary team. These studentships are fully funded (for UK or EU candidates) for 3.5 years as part of an EPSRC project on Advanced Bayesian Computation for Cross-Disciplinary Research. Candidates should have a good first degree in a relevant quantitative field such as applied mathematics, statistics, computer science, engineering, physics, or chemistry. Good programming skills in a high level language such as Matlab, R or C/C++ are very desirable.
The students will be part of an interdisciplinary research project to develop advanced statistical theory and algorithms that will directly address current challenges in scientific modeling in biology, astronomy and econometrics. This research is a collaboration between bioinformatics and systems biology (Prof. David Wild, Warwick), statistical machine learning (Prof. Zoubin Ghahramani, Cambridge), statistics and econometrics (Dr. Jim Griffin, Kent) and astronomy (Prof. Andrew Liddle, Sussex).
Choice of topics for the studentships are:
o Studentship 1 (Warwick; Prof. Wild): Applications of nonparametric Bayesian modeling to a number of contemporary problems in computational biology. New methods for Bayesian experimental design.
o Studentship 2 (Kent; Dr Griffin): Bayesian nonparametric methods for Econometrics.
o Studentship 3 (Cambridge; Prof. Ghahramani): Nonparametric Bayesian machine learning. The construction of efficient algorithms for inference in statistical models based on GPU computation.
Applicants should include a full CV, names and contact details of two referees, and an accompanying cover letter outlining their interests and any previous research experience to Ms Diane Unwin, dsu21(at)eng.cam.ac.uk . * The cover letter must specify which studentship the applicant is applying for. *
** Deadline: July 5th, 2011. **
Funding Note: The award will cover Home/EU tuition fees and a stipend for 3.5 years. Note that students from outside the EU would need to cover the difference between Home/EU and Overseas fees.
