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climate modeling

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

Fully funded PhD position, coupled climate and ice sheet modelling of the Pleistocene - St.John's (Newfoundland), 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 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 much fewer constraints on ice sheet evolution aside from 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 cycles of the last 2 million years especially in the context of explaining the mid-Pleistocene transition from approximately 40 kyr glacial cycles to 100 kyr cycles. This will entail analysis of noise sensitivity (eg from large volcanic events), the impact of changing topography due to subglacial erosion and sediment transport, and the testing of simplified carbon cycle representations. These projects will rely on a hierarchy of coupled ice and climate models including the LCice2.0 coupled glacial system model (GSM) and LOVECLIM EMIC (an earlier version was detailed in Bahadory and Tarasov, GMD, 2018, Bahadory et al, CP 2021) as well as a new version coupled to the Plasim GCM (Andres and Tarasov, CP 2019). A key relevant feature of LCice is the state-of-the-art fully coupled sub-glacial sediment processes model in the GSM (cf Drew and Tarasov, https://egusphere.copernicus.org/preprints/2024/egusphere-2024-620/)
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
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