Senior Atmospheric Chemist for AI-Driven Modeling
vor 3 Wochen
Company Overview
The Freie Universität Berlin's Troposphärische UmweltForschung (TrUmF) working group, led by Professors Martjin Schaap and Tim Butler, conducts model-based research on various aspects of atmospheric chemistry. The team is involved in projects funded by the German Federal Ministry of Education and Research, the EU, and other institutions.
Salary
We offer a competitive salary range of €55,000 to €65,000 per annum, commensurate with experience and qualifications.
Job Description
In the framework of the DFG-funded project EACH, we seek a motivated individual to perform numerical model simulations of atmospheric chemistry, contributing to the development and training of physically constrained machine learning models. You will work closely with our project partners to apply these models together with numerical model output and observational data, focusing on the sensitivity of secondary air pollutants to various precursor gases and environmental factors.
Required Skills and Qualifications
To be successful in this role, you should hold a Master's degree in meteorology, atmospheric physics, atmospheric chemistry, mathematics, computer science, or a related field. Proficiency in programming languages such as FORTRAN and Python is essential, along with experience in numerical modeling of atmospheric chemistry and machine learning techniques.
Benefits
We offer a dynamic and collaborative work environment, opportunities for professional growth, and support for your academic career, including the possibility of writing a doctoral dissertation under the supervision of Professors Butler and Schaap.
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