School for Data Science in Life, Earth, and Energy

Call for applications

The graduate school is funded by the Helmholtz Association of German Research Centres and started on March 1st, 2019. The school offers several doctoral researcher positions.

Call for applications is now open.

More Info

Data Science in Life, Earth and Energy

The Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE) provides an interdisciplinary environment for educating the next generation of data scientists in close contact to domain-specific knowledge and research. All three domains – life & medical sciences, earth sciences, and energy systems/materials – are characterized by the experimental generation of huge heterogeneously structured data sets, which have to be evaluated in order to obtain a holistic understanding of very complex systems.

The school aims at excellent mathematics, computer science, natural science and engineering graduates who strive to advance the development of data science methodologies and harness the power of state-of-the-art data science technologies to solve challenging scientific problems in the three application domains.

Events

November 8-9, 2022; whole day, online

Transferable skill course: Management of a Doctoral Project (mandatory)

November 17, 2022; 1:00pm – 6:00 pm, on-site

Lectures on Data Science: Data Science, Data Management and Scientific Workflows (mandatory)

December 1-2, 2022; 10:00am – 1:00pm, online

Transferable skill course: Efficient literature search and management

December 6-7, 2022; whole day, online

Transferable skill course: Career Planning Training Course

March 23-24, 2023, whole day, online

Transferable skill course: Management of a Doctoral Project (mandatory)

June 8-9, 2023, whole day, on-site

Transferable skill course: Scientific Presentation (mandatory)

September 28-29, 2023, whole day, online

Transferable skill course: Scientific Writing (mandatory)

October 26-27, 2023, whole day, online

Transferable skill course: Scientific Presentation (mandatory)

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