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, 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 new deep learning architectures and orchestration and documentation experiments
* Analysis and preprocessing of different data types (time series, graphs, images, matrices)
* Processing and visualization of huge amounts of data
* Preparation of presentations and applying science in exciting projects
* Review of relevant literature and data
* Testing software and frameworks
* Writing academic articles or reports
What you bring to the table
* Study of mathematics, computer science, geoinformatics, physics, electrical 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 the terminal
* Advanced knowledge in the area of Machine Learning
* Excitement about clean and tidy code
* Affinity for technologies
* Conscientiousness in implementing, testing, and documenting algorithms
* Curiosity about a deeper understanding of deep Learning architectures
* Experience in academic writing is an advantage
What you can expect
* 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. 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. Ximeng Cheng (ximeng.cheng@hhi.fraunhofer.de)
Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute HHI
www.hhi.fraunhofer.de
Requisition Number: 80162 Application Deadline: 07/15/2025