PhD position in statistics, University of Edinburgh & BioSS; application deadline May 13th

Files: http://bayesian.org/sites/default/files/femmacdlO
There is funding available for 3.5 year PhD studentship in statistics, jointly at School of Mathematics (University of Edinburgh) and Biomathematics and Statistics Scotland (Aberdeen), to develop efficient statistical methods to integrate different types of genomic data.
Starting date: September 2013
Application deadline: 13 May 2013 (9:00 GMT)

The funding is available for UK/EU students.
The studentship is for 3.5 years full time, from September 2013. It includes UK/EU fees and a full maintenance stipend of approximately £13,726 per annum. The project will be jointly supervised by Dr Natalia Bochkina (University of Edinburgh) and Dr Claus Mayer (BioSS). The student will be based at the School of Mathematics, and will be expected to make regular visits to Aberdeen over the duration of the PhD.
Further information is available at http://www.maths.ed.ac.uk/~nbochkin/PhD%20studentship%20in%20statisticsBioSS2013.pdf
How to apply
Applicants must complete and submit an online admissions application, via the admissions portal
http://www.ed.ac.uk/studying/postgraduate/degrees?idQ6&cw_xmlÞtails.php
This must include the following:

  • Academic References
  • Academic Transcripts (with a translation to English if the original is in a different language)
  • Your CV and a Personal Statement outlining your suitability, why you are interested in pursuing a PhD in this area, and any other information relevant to the application should be uploaded as an attachment. (In the Research Proposal section of the application form you may only comment "Please see attached documents").
  • English Language Certificate if the applicant is not a native English speaker

For enquiries regarding the PhD, please contact Dr Natalia Bochkina (Esta dirección de correo electrónico está siendo protegida contra los robots de spam. Necesita tener JavaScript habilitado para poder verlo.) or Dr Claus Mayer (Esta dirección de correo electrónico está siendo protegida contra los robots de spam. Necesita tener JavaScript habilitado para poder verlo.).