(Colleagues are asked to bring this to the attention of competent
M.Sc. students who might be interested in these projects.)
************************************************************************
Position 1: Fully funded PhD studentship in coupled climate and ice sheet modelling of the Pleistocene
************************************************************************
This studentship has two related projects:
Project 1A: History matching (cf
https://www.physics.mun.ca/~lev/revCalG.pdf) of a global coupled ice
and climate model for the last glacial cycle. From Last Glacial
Maximum onward, glacial geology and relative sea level data provide a
strong set of constraints which are a challenge to fit. Conversely,
prior to LGM, there are few constraints on ice sheet evolution aside
from global (accurately far-field) sea level proxies. However there
are many more constraints on regional climate from ice core,
terrestrial, and marine core records. This history matching will
therefore focus on pre-LGM global ice sheet and climate evolution
relying more on paleoclimate constraints.
Project 1B: Using the history-matched parameter vectors from project
1A, examine the stability of select glacial/deglacial intervals of the
last 2 million years including comparison of the relative role of key
feedbacks in the ice and climate system and analysis of noise
sensitivity (eg from large volcanic events).
These projects will rely on a hierarchy of coupled ice and climate models
including the LCice2.0 coupled glacial system model and LOVECLIM EMIC
(an earlier version was detailed in Bahadory and Tarasov, GMD, 2018, Bahadory et al,
TCD 2020) as well as a version coupled to Plasim (Andres and Tarasov,
CP 2019).
************************************************************************
Position 2: Fully funded PhD studentship in the development of a climate generator and algorithmic improvement of history matching
************************************************************************
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-modelling contexts.
########################################################################
Applications for any of the positions 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 in
computationally intensive projects.
##################
To apply for any of the two positions:
##################
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
-For position 2, experience with machine learning and/or stochastic process emulators
The group has a dedicated 720 core cluster and access to further
computational resources through Compute Canada.
Associated benefit: the spectacular natural environment of
Newfoundland, Canada
Start date: Sept 1/2023
Details of graduate studies in Physics and Physical Oceanography at
Memorial University can be found at
http://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
http://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.
Lev Tarasov - Dept of Physics and Physical Oceanography,
Memorial University of Newfoundland.
email: lev@mun.ca
http://www.physics.mun.ca/~lev/
Tel (709)-864-2675
Fax (709)-864-8739
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