The Department of Mathematical Sciences at the University of Bath hosts an EPSRC Centre for Doctoral Training in Statistical Applied Mathematics (SAMBa). We shall be awarding 10 or more fully-funded, 4-year studentships, to exceptionally qualified students to complete PhDs at the interface between applied mathematics, stochastic modelling, statistics, and computation.
These start in September 2016 and are funded for four-years (full tuition fees, a training support fee of £1,000/annum and standard, tax-free maintenance of approximately £14,057/annum (2015/2016 rate). Please note: opportunities are limited to UK and EU applicants, except in exceptional circumstances.
SAMBa has a cohort of students whose thesis topics range from industrially motivated problems to more abstract problems, using deterministic, probabilistic, statistical and computational mathematical tools. The SAMBa student cohort is an important source of peer support.
The first year of the training involves courses and symposia tailored to the individual student’s learning programme, together with thesis scoping seminars and 'Integrative Think Tanks'. These ITTs are intensive, week-long events held twice a year where students are faced with industrial and cross-disciplinary problems and are trained in synthesising relevant mathematical formulations for solving them.
Each student will finalise a thesis proposal at the end of year 1, and will work on PhD research in years 2-4 under the mentoring of a principal supervisor and a co-supervisor. Successful completion of the first year of the programme will result in the student receiving an MRes degree.
As part of the training programme, students will have access to a budget that will allow them to develop a semester-long symposia series and invite outside speakers. The programme will also support travel to conferences and workshops.
Expressions of interest should be sent to the Centre Administrator, Anna Fonge, via email: [email protected] and should include:
All applications will be reviewed rapidly and promising applicants will be invited to an interview at Bath. Further information is available on https://www.bath.ac.uk/samba.