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, 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

• Test new deep learning architectures
• Analysis and preprocessing of different data types (texts, images, time series, graphs, etc.)
• Review latest literature and data
• Orchestration and documentation of deep learning experiments
• Processing and visualization of huge amounts of data
• Applied science in exciting projects
• Preparation of presentations
• Testing software and frameworks

What you bring to the table

• Enrolled in a master's programme of computer science, mathematics, physics, electrical engineering, computational linguistics, or similar with good grades
• PyTorch skills: experience in training machine learning models with one or more GPUs; ability to work with pre-existing codebases and get a training run going
• Research interest in one or more of the following: Applied ML, Natural Language Processing, Computer Vision, Reinforcement Learning for LLMs, Information Retrieval, Multimodality, Spatio-temporal Modeling, Self-supervised Learning, Biomedical AI
• Understanding of deep learning fundamentals
• Strong data engineering skills in Python with knowledge of NumPy, Pandas, SQL, Bash, Docker, git, etc.
• Willingness to clean large, messy datasets
• Excitement about clean, structured code
• Conscientiousness in implementing, testing, and documenting algorithms
• High degree of proficiency in spoken and written English

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
• Flexible working hours
• Hybrid work environment
• Opportunities to write a master's thesis (depending on topic suitability)

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? Enter your application documents (cover letter and CV in English, diploma or master's degree, job references, etc.) in our recruiting portal. Please apply exclusively via our online portal.
 

Mr. Raunak Agarwal

Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute HHI 

www.hhi.fraunhofer.de 

Requisition Number: 80181                Application Deadline: 07/15/2025