Dr Nowack is an Imperial College Research Fellow at the Grantham Institute for Climate Change, the Department of Physics and the Data Science Institute. He uses state-of-the-art numerical models and machine learning techniques to address key challenges in climate science and atmospheric physics. His main research interests include the development and application of novel methods to understand and reduce uncertainty in regional climate change projections. He further develops computationally efficient parameterizations of climate processes for the latest generation of Earth system models. He is also interested in the modelling of global air pollution and its effect on human health and climate.
- Machine learning
- Numerical models
- Climate sensitivity
- Atmospheric composition
- Air pollution
- Chemistry-climate interactions
- Atmospheric physics
- Earth observations
- Big data
PHD STUDENTSHIPS AVAILABLE FOR 2019
- The President's PhD Scholarships
The scheme aims to provide up to 50 research students with great potential the opportunity to work within their chosen research field with the support of a supervisor from Imperial College.
- In addition, there are additional funding opportunities for students from China, India and Chile.
Contact me directly for more information on the existing project advertisements or to discuss potential involvement in individual PhD scholarship applications.
UNDERGRADUATE, MASTER PROJECTS
Shorter research projects focusing on machine learning applications are available year-round.
- Independent Research Fellow, Grantham Institute for Climate Change and Department of Physics, Imperial College London. August 2017 - Present
- Postdoctoral Research Associate, Department of Chemistry, University of Cambridge. 2016 - 2017
- ASI Data Science Fellowship, CMC Markets, London. Development of machine learning models to measure the dependence of business performance on market volatility and to identify new business opportunities. 01/2017 - 03/2017
- PhD, Department of Chemistry, University of Cambridge. Numerical simulations of ozone changes in the atmosphere: impacts on projections of climate sensitivity, the El Niño Southern Oscillation and solar geoengineering. 2012 - 2016
- BSc exchange programme, University of Cambridge.
Bachelor thesis and 3rd-4th year lecture courses. 2010 - 2011
- BSc in Interdisciplinary Sciences (Physics, Computer Science, Chemistry), ETH Zurich, Switzerland. 2008 - 2012
et al., 2018, Using machine learning to build temperature-based ozone parameterizations for climate sensitivity simulations, Environmental Research Letters, Vol:13, ISSN:1748-9326
Nowack PJ, 2018, The impact of stratospheric ozone feedbacks on climate sensitivity estimates, Journal of Geophysical Research: Atmospheres, Vol:123, ISSN:2169-897X, Pages:4630-4641
et al., 2017, On the role of ozone feedback in the ENSO amplitude response under global warming, Geophysical Research Letters, Vol:44, ISSN:0094-8276, Pages:3858-3866
et al., 2016, Stratospheric ozone changes under solar geoengineering: implications for UV exposure and air quality, Atmospheric Chemistry and Physics, Vol:16, ISSN:1680-7316, Pages:4191-4203
et al., 2015, A large ozone-circulation feedback and its implications for global warming assessments, Nature Climate Change, Vol:5, ISSN:1758-678X, Pages:41-45