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
- Baltic Earth Steering Group – Early Career Researcher
- Postdoc Position in Atmospheric Radiation, McGill University
- Head of Climate and Data Analytics – EUMETSAT, Darmstadt, Germany
- Fellowships in Earth System Prediction (5x) – University of Reading, United Kingdom
Funding Opportunities
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Education & Training Opportunities
- 11th Baltic Earth Summer School, Askö, Sweden
- Summer School: Runoff Predictions in Ungauged Basins (PUB), Vienna, Austria
Baltic Earth Steering Group member
Location: N/A
Deadline: 15 April 2025
Baltic Earth is currently in the transition to its second phase, and would like to take the opportunity to rejuvenate the Baltic Earth Steering Group (BESSG) with early career scientists.
Please have a look at the Baltic Earth website, and also the page describing the duties of the BESSG, and consider whether you could be a new member, or if you know a young colleague who may be interested in such an interesting task.
https://baltic.earth
https://baltic.earth/organisation/steering_group
If you are interested, please send an e-mail of interest to markus.meier@io-warnemuende.de
Head of Climate and Data Analytics
Location: EUMETSAT, Darmstadt, Germany
Deadline: 3 February 2025
EUMETSAT seeks a new Head of Climate and Data Analytics. The successful candidate will lead the Climate and Data Analytics Team, and will set the strategic direction for the climate application area support of the organization. As such, they will be in charge of a diverse portfolio of activities, such as user engagement for climate data application and deriving requirements for EUMETSAT activities in support of climate service providers, developing and analyzing climate data and information products and services, as well as requirements for and operation of large infrastructures, including cloud infrastructures for the production of dataset and services. See more about the position and its requirements here.
Postdoc Position in Atmospheric Radiation
Location: McGill University, Montréal, Canada
Deadline: open until filled
The Atmospheric Radiation Group (https://huanggroup.wordpress.com/) in the Department of Atmospheric and Oceanic Sciences, McGill University, invites applications for a postdoctoral researcher position in atmospheric remote sensing. The research will develop and validate methods to retrieve trace gases and thermodynamic information from ground- and/or satellite-based radiation spectral measurements. Depending on the candidate’s interests and ability, the research may be focused on numerical modeling, algorithm development, or instrumentation field campaigns.
Salary (including benefits): $60,000CAD/year
Expected start date: June 1, 2025
Term: One year, renewable up to two years
To be considered for the postdoc position, an applicant must have a Ph.D. degree in atmospheric sciences, meteorology, geophysics, or a related discipline, received within the past 4 years (after January 1, 2021). The candidate shall have the ability to conduct original and independent scientific research and is expected to have one or multiple of these skills:
- Radiative transfer modelling,
- Retrieval algorithms development,
- Operation of hyperspectral instruments,
- Analysis of model and/or satellite datasets,
- Programming in Fortran, Matlab or Python on Linux computers.
Interested applicants should contact Prof. Yi Huang (yi.huang@mcgill.ca) by email, enclosing:
- A cover letter,
- A curriculum vitae,
- Transcripts or academic records of undergraduate and graduate studies, and
- Names and contact information for at least two references.
Fellowships in Earth System Prediction (5x)
Location: University of Reading, United Kingdom
Deadline: TBD
The Advancing the Frontiers of Earth System Prediction (AFESP) Fellowship Program will be launched in early 2025.
The fellowships will align with the AFESP science plan, while also encouraging innovative proposals that leverage AI-based approaches to environmental prediction. These include exploring new methods for evaluating prediction skill, reliability, and inherent limitations. AFESP aims to support up to five fellows in the period 2025-2030. With an expected duration of 3–5 years, these fellowships aim to empower ambitious researchers to establish their independence and position themselves as future leaders in the field.
11th Baltic Earth Summer School
Location: Askö Laboratory, Sweden
Dates: 18–25 August 2025
Deadline for Application: 1 May 2025
Students will be introduced into fundamental processes of the atmosphere, ocean, sea-ice and land surface with relevance for the climate system. The course will deal with coupled atmosphere-ocean climate models, climate change, the greenhouse gas effect and other drivers of regional climate, dynamical downscaling, and the variability of circulation and regional climate. Additionally, the possible impact of climate change on the marine ecosystem including biogeochemical cycles will also be studied.
With the help of teachers from several disciplines, a holistic Earth System approach will be presented although the main focus of the course is on the physical aspects of changing climate. In addition to lectures, tutorials, exercises and literature studies the course will give the students the opportunity to discuss the learned topics further during group exercises.
Summer School: Runoff Predictions in Ungauged Basins (PUB)
Location: Vienna, Austria
Dates: 30 June–4 July 2025
Registration Deadline: 1 May 2025 for scholarship application
This Summer School is devoted to runoff prediction in ungauged basins (PUB), i.e., predicting water runoff at locations where no runoff data are available. This lack of data presents considerable challenges to catchment managers who require information on water flows for decision making. This course, based on the book, “Runoff Prediction in Ungauged Basins: Synthesis across Processes, Places and Scales”, will provide hydrologists with the theory and methods to address this critical challenge. Masters and Ph.D. students researching catchment hydrology and practicing hydrologists who are challenged by making predictions in the absence of runoff data are invited to attend.
