PostDoc, statistical paleoclimate data analysis - Potsdam, Germany
PostDoc, statistical paleoclimate data analysis - Potsdam, Germany
17 August 2023 - 17:04
Potsdam,
Germany
Theme
Category
Logistics
The goal of the PalMod project is to understand climate system dynamics and variability during the last glacial cycle. PalMod aims at simulating key periods of the last glacial cycle in transient mode with comprehensive Earth System Models. To achieve a higher level of understanding of natural climate variability at time scales of millennia, its governing processes, and implications for the future climate, PalMod brings together three different research communities: the Earth system modelling community, the proxy data community and the computational science community.
Description
Searching for a postdoc candidate, ideally an expert in paleoclimatology and statistics to perform statistical reconstructions of regional to global climate variability from paleo-proxy evidence on centennial to millennial timescales. Together, with project partners from the University of Tübingen, you will perform a global characterization of the spectrum of climate variability across spatial scales and climate states from proxy data and PalMod simulations. You will be associated with the AWI research team Earth System Diagnostics (https://www.awi.de/en/science/geosciences/polar-terrestrial-environmental-systems/research-foci/earth-system-diagnostics.html) working on ice-cores, tree rings, corals, sediment cores as well as statistical climate models and proxy forward models.
Tasks
You will
Combine proxy-based estimates of variability from the ocean, land and icesheets to derive a global picture of regional climate variability across different climate states.
Develop statistical methods to estimate continental scale and global climate variability accounting for the uncertainties in the proxy chronologies.
Estimate continental and global climate variability from proxy data making use of the PALMOD data compilation
Contrast the regional variability estimates with the continental/ global estimates to characterize the spatial structure of climate variability.
Together with the partners from Uni Tübingen, you will compare the reconstructed variability with the variability estimated from PALMOD model simulations.
You will study the implications of the results for future projections of variability by rescaling the variability in the models, and by using the variability reconstructions as emergent constraints.
Combine proxy-based estimates of variability from the ocean, land and icesheets to derive a global picture of regional climate variability across different climate states.
Develop statistical methods to estimate continental scale and global climate variability accounting for the uncertainties in the proxy chronologies.
Estimate continental and global climate variability from proxy data making use of the PALMOD data compilation
Contrast the regional variability estimates with the continental/ global estimates to characterize the spatial structure of climate variability.
Together with the partners from Uni Tübingen, you will compare the reconstructed variability with the variability estimated from PALMOD model simulations.
You will study the implications of the results for future projections of variability by rescaling the variability in the models, and by using the variability reconstructions as emergent constraints.
Requirements
PhD or equivalent degree in physics, climate sciences, applied mathematics or a related field
Strong analytical and statistical skills
Proficiency in a programming language (preferably R, Matlab or Python)
Excellent English language skills, both written and spoken
Strong motivation and ability to carry out research both independently and as part of a team in an international environment
Detailed knowledge on climate reconstructions and paleo-proxy data and is an advantage
Knowledge of spectral analysis and/or Bayesian inference is an advantage
Experience with large datasets (e.g. model fields and paleoclimate proxy databases) is an advantage
Strong analytical and statistical skills
Proficiency in a programming language (preferably R, Matlab or Python)
Excellent English language skills, both written and spoken
Strong motivation and ability to carry out research both independently and as part of a team in an international environment
Detailed knowledge on climate reconstructions and paleo-proxy data and is an advantage
Knowledge of spectral analysis and/or Bayesian inference is an advantage
Experience with large datasets (e.g. model fields and paleoclimate proxy databases) is an advantage
Applications
Please submit your application by September 5th 2023, exclusively online.
Reference number: 23/171/D/Geo-b
To apply, visit: https://jobs.awi.de/Vacancies/1483/Description/2
Reference number: 23/171/D/Geo-b
To apply, visit: https://jobs.awi.de/Vacancies/1483/Description/2
Application deadline
Further information
Please contact Prof. Dr. Thomas Laepple (Thomas.Laepple@awi.de, +49(331)58174-5602) for further information.
This is a full-time position, limited to 3 years. It is also suitable for part-time employment. The salary will be paid in accordance with the Collective Agreement for the Public Service of the Federation (Tarifvertrag des öffentlichen Dienstes, TVöD Bund), up to salary level 13. The place of employment will be Potsdam.
Postdocs have to register with AWI's postdoc office PROCEED, thereby gaining access to a set of tailor-made career development tools.
This is a full-time position, limited to 3 years. It is also suitable for part-time employment. The salary will be paid in accordance with the Collective Agreement for the Public Service of the Federation (Tarifvertrag des öffentlichen Dienstes, TVöD Bund), up to salary level 13. The place of employment will be Potsdam.
Postdocs have to register with AWI's postdoc office PROCEED, thereby gaining access to a set of tailor-made career development tools.
Contact email
@email