11 results
Study the environmental consequences of hydrogen and electric aviation in the EU SESAR ZENITIA project. Work with Irene Dedoussi’s group at the Whittle Laboratory to develop aircraft emissions inventories through 2050 and near-airport air-quality models, collaborating with European academic and industry partners. Funding lasts 24 months or until 28 February…
Lamont-Doherty offers 24-month research appointments spanning solid-Earth processes, ocean and atmospheric systems, climate, cryospheric dynamics, paleoclimate, biogeoscience and environmental contamination. Applicants propose an original Earth-science project and identify potential mentors; machine-learning backgrounds are welcome. A forest-ecology option…
A normally two-year postdoctoral appointment beginning in autumn 2027 supports original environmental research with faculty mentorship at Caltech. Fields include climate dynamics and adaptation, atmospheric chemistry, physical oceanography, glaciology, paleoclimate, biogeochemistry and environmental microbiology. The annual stipend is $80,000, with a…
Develop atmospheric inversions of methane and nitrous oxide to constrain greenhouse-gas sources and sinks at high latitudes. The project combines CarboScope transport and inversion modelling with Arctic and Canadian observations, isotopic measurements and satellite data to investigate carbon-climate feedbacks and permafrost regions. The appointment lasts…
Study temperate terrestrial exoplanet atmospheres and potential signs of life for the LIFE mission. Research includes atmospheric retrieval, alternative biospheres and abiotic explanations, and translating modelling results into science and instrument requirements.
Closes
Study temperate terrestrial exoplanet atmospheres and potential signs of life within the LIFE mission research programme. The doctoral work contributes to assessing what mid-infrared observations can reveal about habitable worlds.
Closes
Investigate how complex climate hazards translate into economic impacts. The doctoral research connects atmospheric variability, large climate datasets and quantitative approaches to societal risk.
Develop climate projections that make extreme-weather risks useful for impact assessment. The postdoctoral work links climate data, statistical or machine-learning methods and applications relevant to society.
Investigate atmospheric chemistry using global models and field-observation analysis in Colette Heald’s group. The four-year doctoral project also develops research communication through publications, conference presentations and student co-supervision.
Develop NeuralGCM+, an open-source climate model combining machine learning with physical principles to improve projections of unseen future climates. The project builds on NeuralGCM, couples atmospheric and ML-based ocean models, and investigates which processes should remain governed by physical equations and which can be learned from historical…
The Data Assimilation Research Team at the RIKEN Center for Computational Science seeks one research part-time worker to support data-assimilation research and related activities. The team develops weather-prediction and data-assimilation methods using large computational resources including Fugaku. The position is based at RIKEN’s Kobe Campus and normally…
End of results.