英國(guó)劍橋大學(xué)2024年招聘博士后（大氣成分-氣候建模）

劍橋大學(xué)（University of Cambridge），簡(jiǎn)稱劍橋，是一所坐落于英國(guó)劍橋郡劍橋市采用傳統(tǒng)學(xué)院制的研究型大學(xué)。

Post-Doctoral Research Associate: Atmospheric Composition-Climate Modelling (Fixed Term)

University of Cambridge

United Kingdom

February 18, 2024

Contact:N/A

Offerd Salary:£29,605-£44,263

Location:N/A

Working address:N/A

Contract Type:Fixed-term: The fund

Working Time:Negotigation

Working type:N/A

Ref info:N/A

Post-Doctoral Research Associate: Atmospheric Composition-Climate Modelling

(Fixed Term)

Fixed-term: The funds for this post are available for 3 years in the first instance.

Applications are invited for a 36 month post-doctoral research associate position funded through the Natural Environemtn Research Council (NERC), in the atmospheric chemistry modelling research group of Prof Alex Archibald. The successful applicant will work on two new NERC projects to investigate the environemntal impacts of threats to the stratospheric ozone layer. These projects are: Investigating HALocarbon impacts on the global Environment (InHALE, led by the Matt Rigby at the University of Bristol) and The Wide- ranging Impacts of STratospheric smoke Aerosols (TWISTA, led by Jim Haywood at the University of Exeter). The principal research tool for these projects is the UKCA/UKESM1 model and experience of use of the model is highly desirable.

We are looking for a highly motivated, technically proficient, physical scientist with a good track record at problem solving using numerical models. The successful candidate will be engaged in both the development and analysis of extended functionality to better simulate the role of stratospheric smoke aerosols and the effects of these emissions on the chemistry of the stratosphere and upper troposphere (50% of their time) and investigating the impacts of emissions of very short-lived substances and HFOs and HCFOs on ozone layer recovery and climate (50% of their time). Your exact duties will be tailerd to best match your skills and expertise. You will be working as part of wide team of international researchers but you must have sufficient time management skills to work independently on a day-to-day basis.

Applicants must have (or be about to obtain) a PhD in the physical sciences (or similar relevant experience); desirable fields of study include atmospheric science, computational mathematics and physics. Experience with the Unified Model or atmospheric modelling is highly desirable but not essential. Experience interpreting large model datasets or observational datasets using software such as Python, R or Matlab and experience running computer code on HPC is essential. Expertise in stratospheric or tropospheric chemistry or aerosols is essential.

Anticipated start date for the successful candidate is April 2024. Interviews are likely to be mid-March.

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@ch.cam.ac.uk).

Please quote reference MA40180 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.

Further information

· Further informationDepartment/Location

Yusuf Hamied Department of Chemistry

Salary

£29,605-£44,263

Reference

MA40180

Category

Research

Published

19 January 2024

Closing date

18 February 2024

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