Student Assistant AI & Machine Learning

The Fraunhofer-Gesellschaft (www.fraunhofer.com) is one of the world's leading organizations for application-oriented research. 75 institutes develop pioneering technologies for our economy and society – more precisely: 32 000 people from technology, science, administration and IT. They know: Anyone who comes to Fraunhofer wants to and can make a difference. For themselves, for us and for the markets of today and tomorrow.

Future. Discover. Together.

The Interactive & Cognitive Systems group within the Vision & Imaging Technologies (VIT) department is on the lookout for student assistant with a strong focus on AI and machine learning for practical implementation.
Our group studies natural and designs artificial cognitive systems, researches their relationships and develops methods that enable interactions between them. The group's research is at the interface between cognitive science, machine learning and human-machine interaction. The applications of the developed solutions extend over a wide field of multimedia technology and augmented reality, through medicine to agriculture and industrial production.

We're seeking your expertise. Become a part of our team and join us on our journey of research and innovation!

What you will do

Engage in the research, and test the latest machine learning algorithms
Analysing, preprocessing, and visualizing different data types (texts, images,etc.)
Review latest literature and data
Take part in the creation and management of datasets
Orchestration and documentation of experiments
Contribute to the development of human-centered AI solutions and systems

What you bring to the table

Enthusiasm for working collaboratively within an interdisciplinary team, pushing the boundaries in remote sensing, CV, ML, and neuroscience
Enrolled in a master's programme of computer science, mathematics, statistics, computational linguistics, physics, electrical engineering, media computer science or similar with good grades
Research interest in one or more of the following: Reinforcement Learning for LLM's and AI agents, Multi-modal Learning, Self-supervised Learning, Computer Vision
Proficiency in programming languages and tools relevant to data science and AI, with strong skills in Python and knowledge of NumPy, OpenCV, Pandas, SQL, Docker, git, etc.
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
A versatile programming background, including practical AI methodologies and beyond
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 central location
Great and cooperative working atmosphere in an international team
Opportunities to write a master's thesis
Flexible working hours
Opportunities to work from home (up to 35% of working hours)

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

www.hhi.fraunhofer.de

Requisition Number: 81930 Application Deadline: 12/14/2025

Job Segment: Agricultural, Neurology, Telecom, Telecommunications, Training, Technology, Agriculture, Education, Healthcare

Apply now »