Student Assistant Applied Machine Learning

Future. Discover. Together.

Excellent research and innovation are at the centre of the work of the HHI - Fraunhofer Institute for Telecommunications. We are a world leader in researching mobile and optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. 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 foundation model architectures for weather and climate 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
• Orchestration and documentation of Deep Learning experiments
• 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 within an international team 
• Opportunities for writing a master’s or bachelor’s thesis
• Flexible working hours 
• Opportunities to work from home 

The position is initially limited to 12 months. An extension is explicitly desired.

There is no remuneration for pure Master's theses.

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!
 

Dr. Jackie Ma

Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute HHI 

www.hhi.fraunhofer.de 

Requisition Number: 80384                Application Deadline: 08/31/2025