Career, Training and Funding Opportunities

Check here for job offerings and academic opportunities in GEWEX-related fields.
If you would like to post a career or training opportunity, send an email to gewex@gewex.org.

Career Opportunities

Funding Opportunities

Education & Training Opportunities



PhD Development and application of Machine Learning for downscaling climate predictions/projections

Location: University of Bergen, Bergen, Norway
Application Deadline: 30 April 2024

There is a vacancy for a PhD Research Fellow, affiliated with the Bjerknes Centre for Climate Research (BCCR), in the field of regional climate modelling using machine learning at the Geophysical Institute, University of Bergen, Norway.

The position is associated with the EU Horizon Europe project Impetus for Change (I4C), which focuses on improving climate predictions at local to regional scales. The position will also be associated with the World Climate Research Program’s Coordinated Regional Downscaling Experiments (CORDEX), which focuses on bringing climate projections to the impacts- and decision-relevant scales. 

This position will focus on the application of machine learning to develop computationally efficient emulators of high-resolution state-of-the art regional climate models. The goal of the emulators is to learn the relationship between large-scale predictions made by coarse resolution dynamical models and local surface variables of interest (such as near surface temperature, precipitation, wind speeds).


Open call for Membership of the WCRP’s Global Precipitation Experiment (GPEX)Lighthouse Activity

Location: N/A
Application Deadline: 28 April 2024

The World Climate Research Programme (WCRP) Lighthouse Activities are transdisciplinary in nature, integrating across WCRP and collaborating with partners, to accelerate advances in new science, technologies, and institutional frameworks that are needed to more effectively manage climate risks and minimize societal threat based on robust and actionable climate information.

The current interim Scientific Steering Group (SSG) of the Global Precipitation Experiment (GPEX) Lighthouse Activity has developed its Science Plan (as of November 2023). The purpose of this Open Call is to seek nominations (including self-nomination) to the SSG and four Working Groups (WGs) that will develop and execute the GPEX implementation plan over the next decade, provide guidance for the WGs, and integrate with the past efforts.


Lead AI postdoctoral research fellow position within the field of weather and climate extremes

Location: University of Bergen
Application Deadline: 21 May 2024

At the Geophysical Institute, there is a vacancy for a postdoctoral research fellow position within the field of weather and climate extremes.The position is for a fixed term of 3 years and is associated with the Bjerknes Centre for Climate Research (BCCR).

LEAD AI is the University of Bergen’s career and mobility fellowship program for training 19 postdoctoral fellows in artificial intelligence.

The program has received funding from the European Union’s Horizon Europe research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 101126560.

The LEAD AI programme offers high-quality inter- and transdisciplinary research and training opportunities in the area of artificial intelligence supported by a dedicated supervision and mentoring, encouraging inter-sectoral exposure, in particular

  • academic freedom benefits from knowledge and skills transfer between disciplines, organisations and sectors
  • structured, skill-based training
  • high-quality working conditions
  • personal career support
  • equal opportunities

Group Leader in Climate Dynamics

Location: Max-Planck-Institut für Meteorologie, Hamburg, Germany
Application Deadline: 14 June 2024

The Climate Dynamics Department at MPI-M invites applications for the position of Group Leader in Climate Dynamics to lead the Idealized Modeling Group, which focuses on the use of model hierarchies and/or idealized experiments to develop and test ideas for fundamental questions in the broad field of large-scale atmospheric dynamics. The research questions to address include, but are not limited to,

  • How does inter-hemispheric energy contrasts induce cross-equatorial winds?
  • What is the dynamical constraint on equilibrium climate sensitivity?
  • What is the mechanism for the hemispheric symmetry in planetary albedo?
  • What dynamical constraint determines the weakening of the tropical convective mass flux?
  • How do clouds modulate the large-scale atmospheric circulation?

Assistant or Associate Professor in Atmospheric and Computer Sciences

Location: University of Washington, Seattle, WA, USA
Application Deadline: Open until filled

The Department of Atmospheric Sciences (ATMS) and the Paul G. Allen School of Computer Science & Engineering (Allen School) at the University of Washington (UW) invite applications for a joint full-time, 9-month (100% FTE), tenure-track Assistant Professor faculty position. Candidates at the Associate Professor level may also be considered, depending on qualifications and experience. The successful candidate will also likely be affiliated with the UW’s eScience Institute. The proposed starting date of employment is September 16, 2024.

It is anticipated that the successful candidate will utilize, develop, and advance methods in the areas of AI, machine learning, computational sensing, or data science to improve our understanding of atmospherically relevant processes. Example applications include—but are by no means limited to—climate extremes, severe weather, sub-seasonal to seasonal prediction.


Assistant Professor in Atmospheric Science with Focus on Dynamical Processes

Location: Stockholm University, Stockholm, Sweden
Application Deadline: Open until filled

The main responsibilities of this position include Research and in addition some teaching and supervision.

Subject descriptions:
Dynamical processes within atmospheric science broadly encompass observational, theoretical or numerical studies of atmospheric motion at any scale of relevance to weather or climate.


Postdoctoral Appointee – Clouds and Aerosol-Cloud Interactions

Location: Argonne National Laboratory, Lemont, IL, USA
Application Deadline: Position remains open until filled

The Environmental Science Division at the Argonne National Laboratory is seeking a postdoctoral scholar to model and analyze convective clouds and its interactions with environmental factors including aerosols and urbanization with field measurements and models across scales.
In this role you will lead model simulations of convective clouds and mesoscale convective systems at high-resolution with both regional and global models, evaluation of model simulations of clouds, aerosols, and aerosol-cloud interactions, and examination of how environmental factors such as anthropogenic aerosols and urbanization influence clouds, precipitation, and climate.


Postdoctoral Research Associate on Earth’s Radiation Budget

Location: Princeton University, Princeton, NJ, USA
Application Deadline: Open until filled

The Atmospheric and Oceanic Sciences Program at Princeton University, in cooperation with NOAA’s Geophysical Fluid Dynamics Laboratory (GFDL), seeks a postdoctoral research associate or more senior research scientist to join a team working on quantifying and understanding changes in Earth’s Radiation Budget (ERB). The incumbent will develop a methodology to quantify and map the past and future annual changes in ERB using NOAA’s state-of-the-art global climate models, and explain the contributions to the changing solar, longwave, and net radiation budget of the Earth system from anthropogenic and natural drivers, and consequent feedbacks. This understanding will contribute to determining the relative importance of the changing atmospheric constituents to ERB and to the assessment of climate intervention strategies through changes in atmospheric composition. For further information, please contact Dr. David Paynter (David.Paynter@noaa.gov).


Postdoctoral Scholar Opportunity in Clouds, Rainstorms, and Climate Change

Location: Department of Geophysical Sciences/University of Chicago, Chicago, IL, USA
Application Deadline: Open until filled

The Department of Geophysical Sciences at the University of Chicago invites highly motivated and creative postdoctoral scholars to join the Convection & Climate Group. Our group uses theory, observations, a hierarchy of models, and machine-learning methods to understand how tropical atmosphere works.

Responsibilities:

  • Develop testable hypotheses to advance our understanding of atmospheric convection, dynamics, and/or climate change.
  • Conduct numerical simulations and analyze observations to test the hypotheses.
  • Present research findings at conferences and seminars.
  • Publish results in high-quality, peer-reviewed journals.

 

Postdoctoral Research Associate – Aerosol-Convection Interaction

Location: Brookhaven National Laboratory, Upton, NY, USA
Application Deadline: Open until filled

The Cloud Processes group is currently seeking a highly motivated Postdoctoral Research Associate. The group specializes in cutting-edge cloud research, employing a range of methodologies including modeling, observations, theoretical development, and analysis. The focus centers on investigating cloud dynamical, microphysical, and radiative processes that significantly influence cloud lifecycle, with particular emphasis on aerosol-cloud-precipitation interactions.

The ideal candidate will possess a strong interest in exploring the impact of aerosols on the lifecycle of deep convective clouds, utilizing high-resolution modeling techniques and/or conducting observational data analysis. The research will primarily revolve around DOE ARM field campaigns, specifically the TRacking Aerosol Convection interactions ExpeRiment (TRACER) and Green Ocean Amazon 2014/5 (GoAmazon). This position has a high level of interaction with an international and multicultural scientific community.


Postdoctoral Researcher in Machine Learning for Climate Science or Machine Learning for Atmospheric Chemistry

Location: Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Application Deadline: Open until filled

KIT is currently looking for a postdoctoral researcher in machine learning for climate science or machine learning for atmospheric chemistry. The position comes with great flexibility in terms of scientific focus and project duration. Typically, we would aim for an employment duration between 2 and 4 years.

Possible research areas include:

  • Regional climate change
  • Parameterizations for Earth system modelling
  • Cloud feedback and forcing
  • Stratospheric composition
  • Air pollution

5th Summer School on Theory, Mechanisms and Hierarchical Modelling of Climate Dynamics: Convection and Clouds

Location: International Centre for Teheoretical Physics (ICTP), Kastler Lecture Hall, Trieste, Italy
Application Deadline: 8 April 2024

The school will summarize our current understanding of convection using these tools and address  How does deep and shallow convection organise in k-scale models? Can energy budgets help understand their precipitation biases? What are the recent advances in convective parameterization? The school will involve a combination of introductory and advanced lecture material and a week of hands-on data analysis in participant projects, with the opportunity to attend the 4th edition of the established conference on convective organisation (WCO4) in the 2nd week.

Structure
Week 1: Introduction to convection, radiation, RCE, overview on stochastic parameterization, observations…
Week 2: Stochastic cloud models/machine learning.  WCO4 conference.
Week 3: Specialist lecture and hands on projects.


Early Career Research Program (ECRP)
Important dates:

  • Pre-application due date: January 30, 2024, 5 p.m. Eastern time
  • Application due date: April 25, 2024, 5 p.m. Eastern time

Biological and Environmental Research (BER) is seeking Earth and Environmental Systems Sciences research in the following area: Southeast U.S. Atmospheric Processes through use of Observations from the ARM Mobile Facility (AMF3) Bankhead National Forest (BNF) Atmospheric Observatory. Atmospheric research within BER is focused on improving understanding of the key cloud, aerosol, precipitation, and radiation processes that affect the Earth’s radiative balance and hydrological cycle, especially processes that limit the predictive ability of regional and global models.

Applications are sought that will improve fundamental understanding of cloud, aerosol, land-atmosphere interactions, precipitation, and radiative transfer processes in the Southeast United States through analysis of BER observational data from the ARM user facility’s new Bankhead National Forest (BNF) observatory in northern Alabama.

Specific Southeast U.S. atmospheric processes of interest include aerosol processes, aerosol-cloud interactions, convective processes, and warm boundary-layer atmospheric processes. Observations from the ARM BNF observatory must be integral to the proposed research.


International School on Satellite Meteorology (ISSM)

Location: Villa Doria d’Angri, Napels, Italy
Registration Deadline: 30 June 2024

The Institute of Atmospheric Sciences and Climate of the National Research Council of Italy (CNR-ISAC) in collaboration with the University of Naples “Parthenope” has organized the International School on Satellite Meteorology (ISSM) “Theory, retrieval Methods, sensor technology and future missions“.

The school will be focused on Satellite Meteorology as the study of the atmospheric, land, and oceanic systems using remotely sensed data from different sensors onboard meteorological satellites. The basic principles of satellite remote sensing of weather features connected to microphysics of clouds and precipitation will be treated, as well as the fundamentals of retrieval methods, satellite imagery interpretation and products for science and operational meteorology. A special focus will be swept to the sensor technology and satellite development, launch, and in-orbit management.

ISMM will cover the following main topics:

  • Radiative Transfer in atmosphere and remote sensing principles
  • Satellite remote sensing of cloud and precipitation: current missions, sensors, spectral ranges
  • Microphysics of clouds and precipitation
  • Thunderstorms, Terrestrial Gamma-ray Flashes (TGF), gamma-ray glows, and related high-energy atmospheric phenomena
  • Satellite Image interpretation and retrieval methods for science and operational meteorology
  • Satellite data in support to the warning/alert systems for severe weather
  • Future satellite missions, sensor technology and satellite development, launch, in-orbit management.

For additional information visit https://issm2024.isac.cnr.it/#s1


 
 
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