Open positions in the Climate Processes group

Post-doctoral Researcher Position on Observational Constraints on Aerosol-Cloud Interactions

We are looking for a postdoctoral researcher in our dynamic Climate Processes Group. The post is available immediately for a fixed-term period of 3 years.

This position will develop novel observational constraints on aerosol-cloud interactions as part of a dynamic team working on the EU H2020 project Constrained aerosol forcing for improved climate projections (FORCeS). A particular focus of this post will be the development of observational constraints from remote-sensing and in-situ measurements and their application to high-resolution and climate models.

The successful candidate will work closely with national and 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 possess, or be close to completion of a PhD/Doctorate in atmospheric physics or a related field and a strong track-in atmospheric physics.Candidates are expected to demonstrate an excellent understanding of atmospheric physics, a strong background in atmospheric observations or modelling and a demonstrated drive and ability to perform novel research of international standing.

Please direct enquiries about the role to Philip Stier.

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 18 December 2019 can be considered.

PhD Students

We are keen to recruit exceptional PhD students. Applications from EU/UK applicants are considered by the Physical Climate Stream of our graduate school, the Doctoral Training Partnership in Environmental Research. International applications are made directly to the Physics Department.
The next application deadline will be in January 2020.

2 PhD Students in iMIRACLI ITN

We are now seeking applications for two PhD students as part of our new Marie Curie Innovative Training Network iMIRACLI, on machine learning in climate science. iMIRACLI (innovative MachIne leaRning to constrain Aerosol-cloud CLimate Impacts) brings together leading climate and machine learning scientists across Europe with non-academic partners to educate a new generation of climate data scientists. The cohort of 15 PhD students will develop maching learning solutions to deliver a breakthrough in climate research, by tracing and quantifying the impact of aerosol-cloud interactions from the microscale to large-scale climate.

Each student will have an interdisciplinary supervisory team, combining academic climate and machine learning supervisors as well as a non-academic advisor. International secondments to co-supervisors as well as to the non-academic partners will enrich student experience and training. Candidates must be Early-Stage Researchers (in the first four years of their research careers and not yet have been awarded a doctoral degree) and are required to undertake transnational mobility (move from one country to another).

Applications for studentships are now open, with an application deadline of 3 February 2020. All applications must be submitted through the iMIRACLI project webpage:

Please direct informal enquiries to Prof Philip Stier.


We may be able to support the application from outstanding applicants through fellowships as outlined below. Please direct informal enquiries to Prof Philip Stier.

Fellowship schemes