Research Associate: Atmospheric Dispersion Modelling & AI Forecasts

University of Leicester

Leicester

Hybrid

GBP 34,000 - 42,000

Full time

3 days ago

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Job summary

University of Leicester is seeking a Research Associate in Atmospheric Dispersion Modelling for the SENTINEL project. You will lead physics-based dispersion modelling, run established models, and prepare inputs to benchmark AI forecasts.

You will collaborate across atmospheric science, AI, chemical fate and public health, contributing to publications and policy-relevant guidance. A PhD or equivalent is required, with strong modelling and coding skills.

Qualifications

PhD or equivalent in atmospheric/environmental science, engineering or related field.
Experience with physical modelling of environmental processes.
Experience with NAME, CALPUFF or ADMS is desirable.
Proficiency in Python and/or R for data processing, analysis and visualization.
Ability to work independently and in teams with stakeholders.
Experience with weather/ geospatial data; AI or machine learning is advantageous.

Responsibilities

Lead physics-based dispersion modelling and validation for SENTINEL.
Set up and run atmospheric dispersion models (NAME, CALPUFF, ADMS).
Prepare meteorological and geospatial inputs and design hindcasting experiments.
Evaluate forecast performance against health guideline categories and odour reports.
Collaborate with AI researchers; contribute to explainable AI analyses for regulators.