Student Assistant Deep Learning for Weather and Climate Models

Future. Discover. Together.

The Applied Machine Learning (AML) group is part of the Department for Artificial Intelligence and is looking for a student research assistant to strengthen scientific activities in the context of interdisciplinary cooperation. In the AML working group, we are researching and developing new innovative solutions for current and future key topics. Become a part of our team and join us on our journey of research and innovation! 

What you will do

• Testing new generative deep learning architectures for weather applications

• Analysis and preprocessing of climate- and weather data modalities, such as time series, image data, texts- and numeric data, especially remote sensing or radar data

• Participating in projects related to early warning systems of extreme weather events

• Orchestration and documentation of Deep Learning experiments

• Exploration of explainable AI methods to identify drivers of weather events

• Processing and visualization of large amounts of data

• Review of relevant literature and data

• Testing software and frameworks

What you bring to the table

• Study of mathematics, computer science, physics, engineering or similar with good to very good grades

• Strong programming skills in Python with knowledge of frameworks such as NumPy, Pytorch, Pandas etc

• 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

What you can expect

• Fascinating challenges in a scientific and entrepreneurial setting

• Attractive salary

• Modern  and excellently equipped workspace in central location

• Great and cooperative working atmosphere in an international team

• Opportunities to write a master's or bachelors thesis

• Flexible working hours

• Opportunities to work from home

The position is initially limited to 1 year. An extension is explicitly desired.

The monthly working time is 80 hours. This position is also available on a part-time basis. We value and promote the diversity of our employees' skills and therefore 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. 

With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future. 

Interested? Apply online now. We look forward to getting to know you!

Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute HHI

Requisition Number: 75961                Application Deadline: 10/31/2024