|From||Philip Stier <firstname.lastname@example.org>|
|Date||Wed, 20 Jan 2021 11:54:49 +0000|
Postdoctoral Researcher in Clouds, Aerosols & Climate using Machine Learning
We are looking for an enthusiastic postdoctoral researcher in the dynamic Climate Processes Group within the sub-Department of Atmospheric, Oceanic and Planetary Physics of the Department of Physics at the University of Oxford. The post is available immediately for a fixed-term period of 3 years.
The focus of this project will be to develop novel machine-learning based constraints on clouds, aerosols, their interactions and feedbacks, combining remote-sensing and in-situ observations, high-resolution and climate modelling with modern machine learning approaches.
This position will be part of the ERC project "Constraining the effects of aerosols on precipitation" (RECAP) and the EU H2020 collaborative project "Constrained aerosol forcing for improved climate projections" (FORCeS).
The successful candidate will work closely with international collaborators and be expected to develop innovative approaches. The results should be presented at national and international meetings as well as published in high-impact publications. Applicants should hold a doctorate/PhD (or be close to completion) in atmospheric/climate physics, machine learning or related fields, and have a strong background in either atmospheric physics or machine learning (with a demonstrable interest or experience in the other field).
Please direct enquiries about the role to Philip Stier <email@example.com>.
You will be required to upload a supporting statement, CV and details of two referees as part of your online application. Further particulars and the application form can be found on the Oxford University recruitment webpage.
Only electronic applications received through this form before the deadline of 12.00 midday on 15 February 2021 can be considered.
Professor of Atmospheric Physics
Head of Atmospheric, Oceanic and Planetary Physics
Department of Physics
University of Oxford
phone: +44 1865 272887
Go to: Periods · List Information · Index by: Date (or Reverse Date), Thread, Subject or Author.