Applications for admission in September 2018 are open

We aim to recruit students with the potential to make a contribution in mathematics and have a wide reaching impact in atmospheric or oceanic science regardless of their gender, ethnicity, age, caring responsibilities, physical disabilities or previous opportunities in life. Please let us know in your application if you think that a lack of previous opportunities has adversely affected your achievements to date. See the Equality and Diversity page for more details, including information on part time or flexible working.

Prospective candidates are welcome to visit the MPE CDT on the MPE Wednesdays when there will be an opportunity to:

  • Meet current MPE CDT staff  and students who will be able to advise on available studentships and MPE CDT Programme.
  • Participate in one of the MPE CDT flagship training activity (MPE Wednesdays).

If you wish to register for this activity, please contact us at  admissions@mpecdt.org.

Who should apply?

Applications to our fully funded four year doctoral programme are being accepted for the next intake of students who will start in September 2018.  We would like to receive applications from those who have (or expect to receive) a first class degree in mathematics, statistics, physics or closely related subject (or equivalent from other countries, see relevant pages at  Imperial / Reading). No prior knowledge of environmental science is required.

The programme is normally intended for full-time study. However, we will consider sympathetically requests for flexible arrangements including part-time study when there are special circumstances, such as parental or other caring responsibilities, or a disability. Such arrangements will be discussed and agreed after an offer is made for a place on the course.

Funding

See funding page for details.

Industrial CASE-EPSRC studentship

The Mathematics of Planet Earth – EPSRC Centre for Doctoral Training (MPE-CDT), together with the Smith Institute and EDF Energy, has one Industrial CASE-EPSRC studentship available to start in October 2018. The four-year PhD project, “Building physical constraints into weather-related risk estimates”, will aim at the development of robust and efficient estimation methods for very high quantiles or for the occurrence probability of a particular type of extreme event. More information on the project can be found here.

How to apply

Please email your application with attachments (PDF files) to  admissions@mpecdt.org. These should include:

  • Personal Statement. At most one page, 12 point font, 2cm margins, describing:
    • Your mathematical interests
    • Aspects of the planet earth theme that particularly interest you
    • Aspects of the MPECDT programme that particularly interest you
    • Your motivation and thoughts on possible career plans
  • CV
  • Contact details of two academic referees
  • Scans of your academic transcript(s)
  • Tell us where you heard about MPE CDT
  • Tell us if you have or do not have a preference for being based at Imperial or Reading. Please also tell us if you would like to be considered for the CASE studentship. (You preference will not influence the decision on whether to invite you for interview and you can change this preference after your interview. The preference will also not affect your chances of being offered a place at your first choice institution.)

Your CV should include the following information:

  • Nationality
  • Country of birth
  • Country of normal residence for the past 3 years (not including full time education)
  • Country of permanent residence
  • Dates, institutions and qualifications arising (with grades) from all of your higher and further education (since the age of 17)
  • For those currently studying for a degree, the names of the courses and results that they have achieved so far (percentages as well as grades) and their expected final grade
  • Any professional qualifications
  • Employment history
  • Permanent address
  • All correspondence details (address, email and phone numbers)
  • Statement of your fluency in English and (if available) scores of English language tests.

We require students to meet the English language requirements for both Imperial and Reading.  The Reading requirements are at: https://www.reading.ac.uk/15/Study/study-pg-academic-reqs.aspx and the Imperial requirements are at: https://www.imperial.ac.uk/study/pg/apply/requirements/english/

Applicants do not need to have these qualifications when they apply to MPECDT. We will assess their English through their personal statement and, if selected, at interview. If they are offered a place by MPECDT, they will need to satisfy the Imperial and Reading requirements when they apply formally to both institutions (before July or August).

The total size of your application email should not exceed 2MB. This information will be forwarded to the Admissions Team. 

Please also email admissions@mpecdt.org if you have any informal queries.

Next steps

Selected applicants will be invited for interview . Those who are successful at interview will be offered a place on the four year programme to be based at Reading or Imperial.

Please note decisions regarding international students will be made after this date.

Offers may have conditions attached (eg degree results, language requirements).

Students are offered a place to take the MRes at either Imperial or Reading, resulting in an award of a joint Masters degree.

Subject to sufficient progress on the MRes, student’s interests are matched with PhD supervisors and students will be re-registered as a PhD student at the same location as where their MRes studies were based.

The students enrolled will attend the Kick-off camp, September 2018 in Reading.

Some Useful Mathematics and Tools

We do not have any formal pre-requisites but familiarity with the material below will be helpful for the MRes modules. Support is provided during the programme to fill in any gaps that students might have.

  • Scientific programming (for example in Python)
  • Vector Calculus
  • Linear algebra
  • Fourier analysis
  • Linear PDEs, boundary and initial value problems
  • Axioms of probability, conditional probability, independence
  • Measurable functions and random variables
  • Functional analysis: definition and first properties of Banach and Hilbert spaces, with the fundamental example of Lp spaces