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

University of Cambridge, Newtown, Cambridge

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

£45163

University of Cambridge, Newtown, Cambridge

  • Part time
  • Temporary
  • Onsite working

Posted 1 day ago, 20 Dec | Get your application in today.

Closing date: Closing date not specified

job Ref: 4f49065ea7f64c3faa67aa2c0bc109c9

Full Job Description

The successful applicant will have the opportunity to join a predominantly experimentally based-multidisciplinary team work on atmospheric chemistry and ice core science. The successful applicant will be expected to:

  • Interact with the experimental team to isolate a short-list of promising oxidation products to be searched for in ice cores from different locations (including Antarctica);
  • Contribute to data analysis to extract atmospheric chemistry information from organic compounds determined in ice cores;
  • Provide reports (written and oral) for project partners and funders;
  • Lead and contribute to scientific publications, and present results at international conferences;
  • Participate to group meetings, internal thematic meetings, and external project meetings.
  • The successful applicant may also have the opportunity to engage in:
  • teaching and supervising final year or Masters projects;
  • overseeing other research personnel;
  • provide orientation to new lab members;
  • perform other duties as assigned.
  • Anticipated Start Date: as soon as possible after recruitment process is completed (e.g., February/March 2025) We welcome applications from individuals who wish to be considered for part-time working or other flexible working arrangements.

    Applicants should have (or be about to obtain) a PhD in a relevant area. Experience in atmospheric box-modelling is essential, experience in models such as GAMMA, CAPRAM, or GECKO-A is an advantage, as would additional experience/knowledge on atmospheric transport. Demonstrated ability in computer programming and/or complex data analysis is desirable as well as research experience, excellent communication skills, critical thinking, trouble-shooting attitude, and openness to collaborating with internal and external partners.