PhD studentship, coupled climate and ice sheet modeling, Newfoundland, Canada

The Memorial University of Newfoundland, Canada, is offering a fully funded PhD studentship in coupled climate and ice sheet modeling, starting 5 September 2017.


This position is under the ArcTrain Canada advanced graduate training program. The group has a dedicated 920 core cluster and access to further computational resources through ACEnet and other Compute Canada affiliates.

Associated benefit: the spectacular natural environment of Newfoundland, Canada.

Project goals

1) Develop a probability distribution for pre-Eemian glacial maximum ice thickness and associated deglacial evolution. This will in turn enable:
2) Improve constraints on the size of the Eemian high-stand through data-calibrated coupled glacial systems modeling (with coupled ice sheet, climate, GIA, surface runoff models)
3) depending on rate of progress, earlier glacial intervals may also be explored (eg MIS 11).

More deeply, the project aims to improve understanding of coupled ice sheet and glacial climate dynamics through comparison between the last two deglacial intervals.


Applications are invited from candidates with an interest in climate modeling and Earth systems science.

Applicants must have their BSc and/or Masters degree in physics, geophysics, applied mathematics, or closely related fields.

Applicants must also be interested in working in a collaborative environment in computationally intensive projects.

Required skills:

- Some experience in using FORTRAN or C, and analysis packages such as OCTAVE/MATLAB
- Knowledge of general physics (even better with understanding of fluid dynamics and/or atmospheric or ocean physics)
- Fluency in relevant maths (linear/matrix algebra and differential equations and vector calculus).

Details of graduate studies in Physics and Physical Oceanography at Memorial University can be found at


Interested students should contact:

Lev Tarasov
Department of Physics and Physical Oceanography
Memorial University of Newfoundland
St. John's, NL A1B 3X7
Email: This email address is being protected from spambots. You need JavaScript enabled to view it.

and include the following:

1. A cover letter including their name, academic status and contact details, as well as the names and contact details of two or their faculty advisers from whom confidential letters may be sought.
2. A statement of interest including long-term academic plans, research interests,...
3. A short resume/CV, including a list of courses taken, and grades.
4. A self evaluation of strong and weak research skills, skills you particularly want to develop, and likes and dislikes associated with research and modeling.