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Fully funded PhD studentship, development of a climate generator and algorithmic improvement of history matching - St. John's, Canada

Fully funded PhD studentship, development of a climate generator and algorithmic improvement of history matching - St. John's, Canada

St. John's, Canada
Category
Logistics
The position is available at the Glacial Dynamics Group at Memorial University of Newfoundland.
The group has a dedicated 720 core cluster and access to further computational resources through Compute Canada and ACENET.
Associated benefit: the spectacular natural environment of Newfoundland, Canada

Start date: Sept 1/2024
Description
This studentship has two related projects.

Project A: the development of a Climate Generator: A Bayesian stochastic emulator of expensive General circulation climate models. This project will explore different approaches to emulating the response of computationally expensive climate models for glacial cycle ice sheet modelling contexts.

Project B: Building on the discussion in
https://www.physics.mun.ca/~lev/revCalG.pdf, this project will compare different stochastic process and Bayesian artificial neural network emulators for history matching contexts and refine methodologies for history matching in paleo ice and climate modelling contexts.
Tasks
Applications for this postion are invited from candidates with an interest in modelling ice sheet and climate interactions and Earth Systems science.
Applicants must have their Masters degree in physics, geophysics, applied mathematics, or closely related fields.
They must be fluent in English.
Applicants must also be interested in working in a collaborative environment incomputationally intensive projects.
Requirements
Required Skills:
-Experience in: coding in F90 (or F95), C, or Python; shell scripting; and analysis packages such as OCTAVE/MATLAB, R, CDO,...
-Knowledge of general physics and some exposure to fluid dynamics or continuum mechanics (even better with understanding of geophysical fluid dynamics and/or atmospheric or ocean physics or glaciology)
-Fluency in relevant maths (linear/matrix algebra, partial differential equations, and vector calculus)
-Working familiarity with Linux
-Experience with machine learning and/or statistical emulators
Applications
Interested students should contact:
Lev Tarasov
Department of Physics and Physical Oceanography
Memorial University of Newfoundland
St. John's, NL A1B 3X7
lev@mun.ca
https://www.physics.mun.ca/~lev/

include the following:
1. A cover letter including your name, academic status and contact details, as well as the names and contact details of two
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 modelling.
Application deadline
Further information
Details of graduate studies in Physics and Physical Oceanography at Memorial University can be found at: https://www.mun.ca/physics/graduate-students/

Interested students should contact:
Lev Tarasov
Department of Physics and Physical Oceanography
Memorial University of Newfoundland
St. John's, NL A1B 3X7
lev@mun.ca
https://www.physics.mun.ca/~lev/

No specific application deadline was mentioned in the information. Please contact Lev Tarasov if you want this information.
Contact email
levatmun.ca