Future Earth Research School – FERS | Data science and machine learning for climate research

| | | While we are collecting and storing more and more data, understanding and interpreting the underlying processes and relationships between different observations remains a challenging problem. The Future Earth Research School on “Data Science and Machine Learning for Climate Research” aims to provide a comprehensive overview of the mathematical foundations of machine learning, with a particular focus on methods for the analysis of complex dynamical systems. Topics of interest include model reduction, system identification, estimation of associated transfer operators such as the Koopman operator, control, uncertainty quantification, deep learning, but also applications in climate science and sustainability. The call for application is open | | --- | | APPLY NOW | | --- | | | --- | | While we are collecting and storing more and more data, understanding and interpreting the underlying processes and relationships between different observations remains a challenging problem. The Future Earth Research School on “Data Science and Machine Learning for Climate Research” aims to provide a comprehensive overview of the mathematical foundations of machine learning, with a particular focus on methods for the analysis of complex dynamical systems. Topics of interest include model reduction, system identification, estimation of associated transfer operators such as the Koopman operator, control, uncertainty quantification, deep learning, but also applications in climate science and sustainability. The call for application is open | | APPLY NOW | |
| --- |
| | While we are collecting and storing more and more data, understanding and interpreting the underlying processes and relationships between different observations remains a challenging problem. The Future Earth Research School on “Data Science and Machine Learning for Climate Research” aims to provide a comprehensive overview of the mathematical foundations of machine learning, with a particular focus on methods for the analysis of complex dynamical systems. Topics of interest include model reduction, system identification, estimation of associated transfer operators such as the Koopman operator, control, uncertainty quantification, deep learning, but also applications in climate science and sustainability. The call for application is open | | --- | | APPLY NOW | | --- | |
| While we are collecting and storing more and more data, understanding and interpreting the underlying processes and relationships between different observations remains a challenging problem. The Future Earth Research School on “Data Science and Machine Learning for Climate Research” aims to provide a comprehensive overview of the mathematical foundations of machine learning, with a particular focus on methods for the analysis of complex dynamical systems. Topics of interest include model reduction, system identification, estimation of associated transfer operators such as the Koopman operator, control, uncertainty quantification, deep learning, but also applications in climate science and sustainability. The call for application is open |
| APPLY NOW |

| | | THE THIRD FERS COURSE | | --- | | | | | --- | | | --- | | | | Director: Stefan Klus Language: English Location: Bertinoro, Italy Application opening : January 9th Application deadline : March 6th | | --- | | | --- | | THE THIRD FERS COURSE | | | | | --- | | | | | Director: Stefan Klus Language: English Location: Bertinoro, Italy Application opening : January 9th Application deadline : March 6th | |
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| | THE THIRD FERS COURSE | | --- | | | | | --- | | | --- | | | | Director: Stefan Klus Language: English Location: Bertinoro, Italy Application opening : January 9th Application deadline : March 6th | | --- | |
| THE THIRD FERS COURSE |
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| Director: Stefan Klus Language: English Location: Bertinoro, Italy Application opening : January 9th Application deadline : March 6th |

| | | ## WHO CAN APPLY AND HOW | | --- | | We are looking for talented, curious, and passionate people eager to improve their skills and play an active role in the climate transition. Participation is open to Ph.D. students, young researchers, and professionals. FERS offers a limited financial assistance, based on the applicant’s needs. Call for application is open from January 9, 2023 | | --- | | Know more! | | --- | | | --- | | ## WHO CAN APPLY AND HOW | | We are looking for talented, curious, and passionate people eager to improve their skills and play an active role in the climate transition. Participation is open to Ph.D. students, young researchers, and professionals. FERS offers a limited financial assistance, based on the applicant’s needs. Call for application is open from January 9, 2023 | | Know more! | |
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| | ## WHO CAN APPLY AND HOW | | --- | | We are looking for talented, curious, and passionate people eager to improve their skills and play an active role in the climate transition. Participation is open to Ph.D. students, young researchers, and professionals. FERS offers a limited financial assistance, based on the applicant’s needs. Call for application is open from January 9, 2023 | | --- | | Know more! | | --- | |
| ## WHO CAN APPLY AND HOW |
| We are looking for talented, curious, and passionate people eager to improve their skills and play an active role in the climate transition. Participation is open to Ph.D. students, young researchers, and professionals. FERS offers a limited financial assistance, based on the applicant’s needs. Call for application is open from January 9, 2023 |
| Know more! |