Partner of our mobility programmes:

Alfred Wegener Institute

The Center for Polar and Marine Research within the Helmholtz Association: The Alfred Wegener Institute combines interdisciplinary research with cutting-edge technology to understand the impacts of climate change and develop sustainable solutions for protecting oceans, polar regions, and global ecosystems.

Through the HIDA mobility program, talented data scientists have the opportunity to contribute to cutting-edge polar and marine research at the Alfred-Wegener-Institute in Bremerhaven. As a Helmholtz Centre for Polar and Marine Research, AWI explores the Arctic, Antarctic, and the coastal and marine regions of the temperate latitudes – spanning everything from atmospheric processes to the deep sea, from permafrost landscapes to microbial life in the shelf seas.

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The programs

Get to know AWI with HIDA

The Alfred-Wegener-Institute is part of the Helmholtz Association.
 

Data science talents can conduct research at the Center through the following programs.

The Alfred Wegener Institute (AWI) is one of the leading polar and marine research institutes in Germany and is internationally recognised for its expertise in climate, environmental and biodiversity research. Using cutting-edge technology, the AWI investigates the effects of climate change on the oceans, polar regions and ecosystems. The AWI's scientists have access to an exceptional research infrastructure, including specialised research vessels, aircraft and stations. Among the best known are the icebreaker Polarstern and the Neumayer Station in the Antarctic. The AWI's goal is to comprehensively research the complex interactions between climate, geology and biology in the polar regions and in temperate latitudes.

Research priorities:

  • Polar research and climate change
  • Marine ecosystems and biodiversity
  • Oceanography and sea ice dynamics
  • Geoscientific processes in the polar regions
  • Atmospheric research in polar latitudes
  • Development of sustainable technologies for environmental and climate protection
  • Digitalisation and data science in climate research

The sites

The sites

The Alfred Wegener Institute’s main site is located in Bremerhaven.

 

In addition, the institute operates several other locations across Germany:

  •     Potsdam
  •     Helgoland
  •     List (on the island of Sylt)
  •     Oldenburg

 

To support research in remote and extreme environments, AWI also maintains a range of specialized infrastructures. These include several research stations, some of which are operated in collaboration with international partner institutes:

  •     Neumayer Station III (Antarctica)
  •     Kohnen Station (Antarctica)
  •     AWIPEV Arctic Research Base (Svalbard)

 

AWI's expertise in the field of Data Science and AI

AWI uses state-of-the-art AI technologies to analyse complex geophysical and biological systems. Interdisciplinary teams work closely together to develop new approaches to modelling and predicting climatic changes.
By using powerful AI models and big data analyses, they gain deeper insights into the interactions between the atmosphere, oceans and biosphere and develop innovative methods to support scientific and political decision-making processes.

  • AI-supported analysis of satellite and climate data
  • Automated pattern recognition in oceanographic and meteorological data
  • Deep learning for more precise climate forecasts
  • Development and application of simulation models for polar research
  • Multimodal data integration for better assessment of environmental changes

With over 1,300 employees, AWI is the leading institution for polar and marine research in Germany.

Notes on application

Notes on application

Helmholtz-Betreuer

Lernen Sie hier einige potentielle Gastgeberinnen und Gastgeber an verschiedenen Helmholtz-Zentren kennen und erfahren sie mehr über deren jeweilige Data Science-Forschung durch einen Klick auf die Karten.

Bitte beachten Sie: Kontaktieren Sie Ihren potenziellen Betreuer oder Ihre potenzielle Betreuerin bitte vorab per E-Mail, um ein Forschungsprojekt vorzuschlagen und zu besprechen. Reichen Sie erst nach dieser Klärung Ihre Bewerbung ein.

Wenn Sie Fragen haben, senden Sie bitte eine E-Mail an: hida@helmholtz.de

Sie möchten selbst gerne Helmholtz-Gastgeber werden und suchen nach Unterstützung für Ihr Forschungsprojekt? Dann wenden Sie sich ebenfalls an die oben genannte E-Mail Adresse.

Jetzt bewerben!

The Hosts at AWI

Get to know some of the hosts at AWI and learn more about their respective research based on data science.

Before you contact the potential hosts, please read the application instructions.

Please note: The listed hosts represent only a selection of possible supervisors.

You are also welcome to independently contact other potential hosts at the center and coordinate your participation in the HIDA Mobility Program directly with them.

Sebastian Primpke
Microplastics

Contacts

Sebastian Primpke
Microplastics

Short summary of your group's research: In the working group we work on analytical techniques for the determination of micro- and nanoplastics using chemometric approaches. Data analysis is mainly performed on hyperspectral FTIR and Raman images which are targeted by various chemometric approaches. In general, these approaches are linked to the environment by research cruises, projects and meta analyses.

 

What infrastructure, programs and tools are used in your group? We have several spectroscopic imaging instruments (FTIR / Raman) available, a selection of dedicated computers designed for data analysis. We are currently using Python and CUDA for data analysis.

 

What could a participant of the HIDA Trainee Network learn in your group? How could he or she support you in your group? Our group can provide a large material database, instruments and calculation power for the development of chemometric approaches. We can support the guest researcher in the development of their chemometric based analysis ideas and look forward to link these with our existing or planned approaches in form of for example future research proposals with the guest researcher.

Olanrewaju Sulaiman Oladokun
Shelf Sea Ecologogy / Marine Aquaculture

Contacts

Olanrewaju Sulaiman Oladokun
Shelf Sea Ecologogy / Marine Aquaculture

Short summary of your group's research: Marine Multiuse system involving mapping of aquaculture site within German Northsea, Development of digital reliability and ecological system from available data for safe deployment and operation of marine system, GUI and Gitlab Modeling of Aquaculture system operation.

 

What infrastructure, programs and tools are used in your group? Sea site simulation software species

 

What could a participant of the HIDA Trainee Network learn in your group? How could he or she support you in your group? Contribute GIT; GUI; Matlab Python coding

A. Murat Eren
Ecosystem Data Science Group

Contacts

A. Murat Eren
Ecosystem Data Science Group

Three-sentence summary of your group's research: Our research program focuses on understanding the ecology and evolution of naturally occurring microbial life using integrated ‘omics strategies and laboratory experiments. Our group aims to develop new computational approaches and create advanced software platforms that intend to generate hypotheses from complex environmental data to bring us closer to explain mechanisms by which microbes interact with their surroundings, evolve, disperse, and initiate or adapt to environmental change. We are environment agnostic as microbial ecology and evolution happens everywhere, thus, our recent work ranges from the human gastrointestinal tract and oral cavity to sewage systems, and insect ovaries. That said, we find marine systems much more intriguing than most other habitats and desire to channel our future efforts to understanding microbial life in sunlit and dark oceans.

 

 

What infrastructure, programs and tools are used in your group? Having to work with extremely large and complex 'omics datasets, the initial stages of our data analyses typically rely on high performance computing infrastructures. Although, as we are often much more interested in targeted analyses of subtle phenomena that reveal specific insights for specific questions rather than overall analyses of our data, later stages of our data analyses often rely on R and/or Python programs and interactive visualization solutions.

Our group includes many of the key developers of anvi'o (https://anvio.org/), a comprehensive open-source software platform that brings together many aspects of today’s cutting-edge computational strategies of data-enabled microbiology, including genomics, metagenomics, metatranscriptomics, pangenomics, metapangenomics, phylogenomics, and microbial population genetics in an integrated and easy-to-use fashion through extensive interactive visualization capabilities.

Anvi'o stands on more than 200,000 lines of Python and JavaScript code that follow modern software development paradigms thanks to the voluntary contributions of more than 30 developers from the academia and industry to empower microbiologists for their complex needs through an architecture that enables reproducible science and simple interfaces for data access.

 

 

What could a guest researcher learn in your group? How could he or she support you in your group? Our group can help addressing novel questions through complex 'omics datasets and ad hoc software development, support others with insights from integrated 'omics strategies, and collaborate on integrating software solutions into the anvi'o software ecosystem to make them available to the broader community of life scientists.

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