Join the NFDI4Earth Academy
The call for the 2nd NFDI4Earth Academy cohort is now open
THE NFDI4EARTH ACADEMY – CONNECTING EARTH SYSTEM AND DATA SCIENCES.
The NFDI4Earth Academy is a network of PhD and postdoctoral scientists interested in connecting Earth system and data sciences across institutional boundaries. The Academy offers specialized training courses and facilitates collaboration within the NFDI4Earth community with access to all NFDI4Earth innovations and services.
The two-year Academy program provides Fellows with a research and learning environment to advance their current research projects, explore and integrate new methodologies, and engage with an agile, bottom-up, peer-mentored community.
For this purpose, the program uses the established structures of the three associated research networks Geo.X, German Marine Research Alliance and Geoverbund ABC/J and combines various virtual, hybrid and in-person events.
BENEFITS FOR NFDI4EARTH ACADEMY FELLOWS
- customized training courses
- networking across institutional boundaries
- events to advance interdisciplinary research and projects
- high visibility for fellows and their projects within the NFDI4Earth community
- external training opportunities, such as the Helmholtz Academy for Information and Data Science (HIDA) or DataTrain (Research Network University of Bremen)
WHO IS THE NFDI4EARTH ACADEMY FOR?
The NFDI4Earth Academy is for early career scientists (PhD students and postdocs) in Earth system and data sciences. Research questions can come from any area of Earth system science.
Data science methods include multi-level modeling, machine learning and deep learning, neural networks, statistical data analysis and modeling, and Big Data. We are looking for Fellows who are actively engaged in the academy and want to apply their ideas to our program.
Start of THE NFDI4EARTH ACADEMY
Successful applicants will receive their academy admission by March 8, 2024. The 2nd academy cohort will begin on June 1, 2024 with an in-person kick-off meeting in Berlin/Potsdam during the week of June 10-14.
The application includes a one-page description of the current research project, including ideas for combining Earth system science and data science, and a curriculum vitae. PhD students must also submit a letter of support from their supervisor.
Immer aktuell informiert mit dem DAM-Newsletter.