Student Research Assistant for Deep Learning in Weather and Climate Models
vor 3 Wochen
We are seeking a highly motivated and skilled student research assistant to join our Applied Machine Learning (AML) group at the Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute HHI. The successful candidate will contribute to our research activities in the field of deep learning for weather and climate models.
Responsibilities- Develop and test new generative deep learning architectures for weather applications
- Analyze and preprocess climate- and weather data modalities, including time series, image data, text, and numeric data
- Participate in projects related to early warning systems for extreme weather events
- Orchestrate and document deep learning experiments
- Explore explainable AI methods to identify drivers of weather events
- Process and visualize large amounts of data
- Review relevant literature and data
- Test software and frameworks
- Study of mathematics, computer science, physics, engineering, or a related field with good to very good grades
- Strong programming skills in Python with knowledge of frameworks such as NumPy, PyTorch, and Pandas
- Experience and confidence in using Linux (Ubuntu) via terminal
- Advanced knowledge in machine learning
- Motivated in writing clean and tidy code (implementation, testing, documentation, versioning with Git)
- Affinity for technologies
- Curiosity about a deeper understanding of deep learning architectures
- Interest in the intersection of AI and climate science
- Fascinating challenges in a scientific and entrepreneurial setting
- Attractive salary
- Modern and excellently equipped workspace in a central location
- Great and cooperative working atmosphere in an international team
- Opportunities to write a master's or bachelor's thesis
- Flexible working hours
- Opportunities to work from home
The position is initially limited to 1 year, with the possibility of extension. We value and promote the diversity of our employees' skills and welcome all applications, regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation, and identity. Severely disabled persons are given preference in the event of equal suitability.
We are a pioneer and catalyst for groundbreaking developments and scientific excellence, helping shape society now and in the future. If you are interested in this opportunity, please apply online now. We look forward to getting to know you.
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Berlin, Berlin, Deutschland Fraunhofer-Gesellschaft VollzeitJob DescriptionWe are seeking a highly motivated and skilled student research assistant to join our Applied Machine Learning (AML) group at the Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute HHI. The successful candidate will contribute to our research and development of innovative solutions for current and future key topics in the...
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Berlin, Berlin, Deutschland Fraunhofer-Gesellschaft VollzeitJob DescriptionWe are seeking a highly motivated and skilled student research assistant to join our Applied Machine Learning (AML) group at the Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute HHI. The successful candidate will contribute to our research and development of innovative solutions for current and future key topics in the...
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Berlin, Berlin, Deutschland Fraunhofer-Gesellschaft VollzeitJob DescriptionWe are seeking a highly motivated and skilled research assistant to join our Applied Machine Learning (AML) group at the Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute HHI. The successful candidate will contribute to the development of innovative solutions for current and future key topics in the field of climate science...
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Berlin, Berlin, Deutschland Fraunhofer-Gesellschaft VollzeitJob DescriptionWe are seeking a highly motivated and skilled research assistant to join our Applied Machine Learning (AML) group at the Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute HHI. The successful candidate will contribute to the development of innovative solutions for current and future key topics in the field of climate science...
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