[ES_JOBS_NET] Post-Doc Res. Assoc.: Modelling Atmospheric Oxidation in the Tropics, University of Cambridge

[Christine Wiedinmyer]

https://www.cam.ac.uk/jobs/post-doctoral-research-associate-modelling-atmospheric-oxidation-in-the-tropics-ma48457

*Post-Doctoral Research Associate: Modelling Atmospheric Oxidation in the
Tropics*

Limited funding: The funds for this post are available for 42 months in the
first instance.

Applications are invited for a PDRA funded through the NERC to join the
"Determination of Tropical Oxidising Capacity through model calibration"
(DeTOX) project.

The DeTOX project aims to advance our understanding of atmospheric
oxidation in the tropics to improve projections of future atmospheric
composition in response to climate change and tropical development. The
project will provide the first rigorous constraints on oxidation by
bringing together observations and global atmospheric models using
innovative statistical and machine-learning approaches. It aims for the
first clear attribution of how uncertainty in different physical, chemical
and meteorological processes influences our understanding of atmospheric
oxidation, and fresh insight into how oxidation may change in future. The
project is led by the University of Lancaster and draws on expertise in
atmospheric modelling and data science involving partners at six UK
institutions and collaborators in the US. You will be embedded in the
NCAS at Cambridge group based in the Department of Chemistry at the University
of Cambridge.

This post will involve work using the NERC-Met Office UKESM model.
Specifically you will perform experiments with the model (including
designing the experiments), analysing the results and assist in work to
emulate the results using Machine Learning.

The successful applicant will work closely with other scientists in the
project based around the world and with the UK Met Office.

Applicants must have (or be about to obtain) a PhD in a physical or
computational science or at least three years of relevant research
experience; desirable areas include atmospheric science, computational
mathematics, computer science, and physics. Experience with the Unified
Model, UKESM or atmospheric modelling is highly desirable but not
essential. Experience with simulating climate or chemistry across the
recent past is desirable but not essential. Experience interpreting large
model datasets or observational datasets using software such as Python, R,
or Matlab is essential. Expertise in stratospheric or tropospheric
chemistry or aerosol modelling is desirable. Proficiency in Fortran and
experience running computer code on high performance computers is desirable.

Anticipated start date for the successful candidate is March 2026.
Interviews are likely to be mid February.

Click the 'Apply' button below to register an account with our recruitment
system (if you have not already) and apply online.

Please ensure that you upload your Curriculum Vitae (CV), a covering letter
and publications list in the Upload section of the online application. If
you upload any additional documents that have not been requested, we will
not be able to consider these as part of your application.

For queries regarding applying online for this post, please contact Alex
Campbell (email: a.archibald.group.admin at ch.cam.ac.uk).

Please quote reference MA48457 on your application and in any
correspondence about this vacancy.

The Department holds an Athena SWAN silver award for women in Science,
Technology, Engineering, Mathematics, and Medicine.

The University actively supports equality, diversity and inclusion and
encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are
eligible to live and work in the UK.
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://mailman.ucar.edu/pipermail/es_jobs_net/attachments/20260119/342ab03f/attachment.htm>