| Location: | Hatfield |
|---|---|
| Salary: | £38,784 pa (pro rata) to £46,049pa (pro rata) by annual increments on achieving designated skills and experience, UH7 |
| Hours: | Full Time |
| Contract Type: | Fixed-Term/Contract |
| Placed On: | 24th October 2025 |
|---|---|
| Closes: | 9th November 2025 |
| Job Ref: | REQ000354 |
FTE: 1.0 fte (working 37 hours per week) (Part time may be considered)
Duration of Contract: Fixed Term for 1 Year
Annual Leave: 35 days (pro rata) plus standard public holidays and an additional 4 days including the closure of our office between Christmas and New Year
Location: Hatfield
Main duties and responsibilities
The aim of the research is to undertake simulations with atmospheric and climate models and investigate interactions between atmospheric composition and climate change as well as use available observations to evaluate and improve these predictions.
You will contribute to ongoing and future atmospheric composition and climate research programmes and be responsible for input data processing and analysis of model predictions and relevant observations to understand the underlying processes and interactions. The successful candidate will engage in and contribute to problem solving on day-to-day issues related to the ongoing and new research projects, actively contribute to the development of process-based analysis approaches including use of large datasets of model predictions and observations and maintain and update relevant software and codes on the University’s Unix/Linux high performance cluster and contribute to analysis and acquisition of observations where relevant.
You will assist in other relevant activities and projects for example, preparation of funding proposals, engagement with conferences and workshops and contribute to our wider scientific and stakeholder networks and assist in the maintenance of the high performance computing cluster and relevant software, Centre websites and activities related to the Climate and atmospheric physics laboratory.
Skills and experience required
You will have demonstrable experience of development and/or use of advanced high resolution regional scale atmospheric and climate models, specifically WRF-CMAQ or similar, experience of input data pre-processing for atmospheric climate modelling using software (e.g. SMOKE, MEGAN), boundary conditions from global models and related observations and strong experience of computational programming techniques for atmospheric and climate physics applications e.g. Fortran and python on Unix platforms, data analysis/visualisation techniques. Experience working in a research team and research experience in the subject area including, as appropriate, collaborative partnerships with other HEI’s or external partners is essential.
A good level of understanding of atmospheric and climate science and Earth system approaches and a willingness to maintain and optimise codes and files on computing platforms is essential. You will have knowledge of research methodology appropriate for the subject area, knowledge of appropriate databases for your discipline and ability to conduct literature searches in the discipline using appropriate electronic resources and good IT skills, including the use of MS Office.
Qualifications required
You will be educated with a Degree or equivalent level 6 qualification, or higher qualification in a relevant discipline and a PhD (or equivalent level 8 qualification), or equivalent experience.
Please view the job description and person specification for a full list of the duties and essential criteria. Click the'Apply' button above. Please attach a personal statement showing clearly how your skills and experience match the Person Specification.
Internal applicants – please ensure you apply via your employee self service portal.
An appointment to this role may require an Academic Technology Approval Scheme (ATAS) certificate.
Please note, this post cannot be visa sponsored unless you can evidence a PhD / Doctorate.
Contact Details/Informal Enquiries: Prof. Ranjeet S Sokhi, r.s.sokhi@herts.ac.uk
Closing Date: 09 November 2025
Interview Date: TBC
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