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PhD Studentship in Mathematics

Newcastle University - School of Mathematics, Statistics and Physics

Qualification Type: PhD
Location: Newcastle
Funding for: UK Students, EU Students
Funding amount: Not Specified
Hours: Full Time
Placed On: 21st December 2021
Closes: 31st January 2022

Award Summary

100% tuition fees at the Home/UK rate and a tax-free stipend of £15,609 per year. Depending on available funding, international/EU fees applicants may also be covered. A desktop computer and £1500 travel allowance will also be provided.

Overview

The School of Mathematics, Statistics and Physics at Newcastle University expects to offer a full time PhD studentship on a project in Applied or Pure Mathematics. Possible projects can be found respectively in

https://www.ncl.ac.uk/maths-physics/postgraduate/research-projects/applied/

https://www.ncl.ac.uk/maths-physics/postgraduate/research-projects/pure/

Prospective Students are encouraged to contact potential supervisors for more information on specific projects. Applicants can apply for more than one project and should clearly indicate their preferred project(s) in their application form (programme of study tab, research proposal box). General information can also be obtained from Dr Gerasimos Rigopoulos (Gerasimos.rigopoulos@ncl.ac.uk) or Dr David Kimsey (David.kimsey@ncl.ac.uk).            

Applicants should have a strong background in Applied or Pure Mathematics. High motivation for independent theoretical work is essential with computational skills and/or interest in computational methods desirable if applying for a project where they are relevant.

Number Of Awards

1

Start Date

September 2022

Award Duration

3.5 years

Application Closing Date

January 31 2022

Sponsor

School of Mathematics, Statistics and Physics, Newcastle University.

Supervisors

The successful applicant will work with a primary and a secondary supervisor from the school’s academic staff members, depending on their chosen project. The applicant should clearly indicate their preferred project(s) in the aforementioned areas.

Eligibility Criteria

Applicants should have or expect a first class or high 2:1 honours degree in Mathematics, Physics or another relevant discipline. A Masters qualification in a relevant subject area will be highly advantageous.

The studentship covers fees at the Home/UK rate. However international/EU applicants will also be considered and if funding is available may have the difference between Home and International fees covered.

Applicants whose first language is not English require an IELTS score of 6.5 overall with a minimum of 5.5 in each subsection. International applicants may require an ATAS (Academic Technology Approval Scheme) clearance certificate prior to obtaining their visa and to study on this programme.

How To Apply

You must apply through the University’s Online postgrafuate application system - https://aspire.ncl.ac.uk/Login?utm_source=referral-jobs&utm_medium=advert&utm_content=msp047-apply&utm_campaign=PG3PL-jobs-ac-uk-advert

You will need to:

  • Insert the programme code 8080F in the programme of study section
  • Select ‘PhD Mathematics’ as the programme of study and choose either Pure Mathematics or Applied Mathematics depending on the project you are interested in. If you are not sure which is the most appropriate please contact the advertised Supervisor
  • Insert the studentship code MSP047 in the studentship/partnership reference field
  • attach a covering letter and CV. The covering letter must state the title of the studentship, quote reference code MSP047 and state how your interests and experience relate to the project
  • In the programme of study tab please indicate your preferred project(s) in the ‘research proposal’ box
  • Attach degree transcripts and certificates and, if English is not your first language, a copy of your English language qualifications

Contact Details

Prospective Students are encouraged to contact the supervisors of their preference for project specific information. General information can also be obtained from Dr Gerasimos Rigopoulos (Gerasimos.rigopoulos@ncl.ac.uk) or Dr David Kimsey (David.kimsey@ncl.ac.uk). 

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