Materials science and technology are our passion. With our cutting-edge research Empas around 1100 employees make essential contributions to the well-being of society for a future worth living. Empa is a research institution of the ETH Domain.
We are offering an exciting PhD position at Empas Laboratory for Air Pollution / Environmental Technology in collaboration with the University of Zurich and Wageningen University & Research. The four-year STEPS project focusses on developing data-driven and machine learning methods to monitor CO2 and NOx emissions using the upcoming satellite missions (e.g. CO2M TANGO Sentinel-4/5).
Your research will contribute directly to monitoring global efforts to reduce greenhouse gas emissions and achieve net-zero targets.
Your tasks
- Simulate emission plumes from point sources using the MicroHH atmospheric model.
- Analysis of plume dynamics and NOx chemistry in the high-resolution simulations.
- Develop and refine data-driven methods for emission quantification.
- Apply your methods to real satellite data from missions like CO2M and TANGO.
- Present your findings at international conferences and publish them in peer-reviewed journals.
- Complete a PhD thesis at the University of Zurich.
Your profile
- Masters degree in Earth Sciences Geography Physics Environmental Sciences Meteorology or a related field.
- Passion for atmospheric remote sensing chemical transport modelling and data science.
- Solid programming skills (ideally Python) and experience with data analysis.
- Self-motivation and curiosity to learn and grow independently.
- Strong communication skills in English; German is a plus.
- Enthusiasm for working in a multidisciplinary and international team.
Our offer
- A fully funded PhD position at Empa in Dübendorf near Zurich with a starting salary of CHF 57000/year
- Collaboration with an internationally recognized research team with leading experts in remote sensing atmospheric modelling emission quantification and machine-learning.
- Integration into Empas Atmospheric Modelling / Remote Sensing group with access to state-of-the-art infrastructure.
- Supervision by PD Dr. Gerrit Kuhlmann with joint affiliation to the Remote Sensing Laboratories at the University of Zurich. The PhD degree will be awarded by the University of Zurich.
Starting date is 1 April 2026 or upon mutual agreement.
We look forward to receiving your complete online application including a letter of motivation CV diplomas with transcripts and contact details of two reference persons. Please submit these exclusively via our job portal. Applications by e-mail and by post will not be considered.
DavidHeusser HR Partner
Materials science and technology are our passion. With our cutting-edge research Empas around 1100 employees make essential contributions to the well-being of society for a future worth living. Empa is a research institution of the ETH Domain.We are offering an exciting PhD position at Empas Laborat...
Materials science and technology are our passion. With our cutting-edge research Empas around 1100 employees make essential contributions to the well-being of society for a future worth living. Empa is a research institution of the ETH Domain.
We are offering an exciting PhD position at Empas Laboratory for Air Pollution / Environmental Technology in collaboration with the University of Zurich and Wageningen University & Research. The four-year STEPS project focusses on developing data-driven and machine learning methods to monitor CO2 and NOx emissions using the upcoming satellite missions (e.g. CO2M TANGO Sentinel-4/5).
Your research will contribute directly to monitoring global efforts to reduce greenhouse gas emissions and achieve net-zero targets.
Your tasks
- Simulate emission plumes from point sources using the MicroHH atmospheric model.
- Analysis of plume dynamics and NOx chemistry in the high-resolution simulations.
- Develop and refine data-driven methods for emission quantification.
- Apply your methods to real satellite data from missions like CO2M and TANGO.
- Present your findings at international conferences and publish them in peer-reviewed journals.
- Complete a PhD thesis at the University of Zurich.
Your profile
- Masters degree in Earth Sciences Geography Physics Environmental Sciences Meteorology or a related field.
- Passion for atmospheric remote sensing chemical transport modelling and data science.
- Solid programming skills (ideally Python) and experience with data analysis.
- Self-motivation and curiosity to learn and grow independently.
- Strong communication skills in English; German is a plus.
- Enthusiasm for working in a multidisciplinary and international team.
Our offer
- A fully funded PhD position at Empa in Dübendorf near Zurich with a starting salary of CHF 57000/year
- Collaboration with an internationally recognized research team with leading experts in remote sensing atmospheric modelling emission quantification and machine-learning.
- Integration into Empas Atmospheric Modelling / Remote Sensing group with access to state-of-the-art infrastructure.
- Supervision by PD Dr. Gerrit Kuhlmann with joint affiliation to the Remote Sensing Laboratories at the University of Zurich. The PhD degree will be awarded by the University of Zurich.
Starting date is 1 April 2026 or upon mutual agreement.
We look forward to receiving your complete online application including a letter of motivation CV diplomas with transcripts and contact details of two reference persons. Please submit these exclusively via our job portal. Applications by e-mail and by post will not be considered.
DavidHeusser HR Partner
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