Student Assistant Applied Machine Learning

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, new innovative solutions are being researched and developed that will be used in 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, evaluating, and training current AI models and architectures

• Implementing ML pipelines

• Developing software and frameworks

• Analyzing and processing various data modalities (images, time series, etc.)

• Reviewing and evaluating relevant literature and datasets

• Creating and delivering presentations

What you bring to the table

• Ongoing studies in Mathematics, Computer Science, Physics, Electrical Engineering, or related fields with outstanding performance

• Programming experience, particularly strong to excellent Python skills

• Advanced knowledge in Machine Learning, especially in working with neural networks

• Motivation and initiative

• Very good proficiency in German is advantageous

• Experience with AI in the medical field is helpful, but not required

What you can expect

• Current and relevant challenges in a scientific and entrepreneurial setting

• Attractive salary

• Modern and excellently equipped workplace in central location

• Exciting work 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. 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: 77116                Application Deadline: 01/31/2025