Student Assistant Artificial Intelligence

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. Become a part of our team and join us on our journey of research and innovation!

What you will do

Driving innovative AI research through the development and implementation, practical application, theoretical analysis and evaluation of AI algorithms

Use of XAI tools to explain machine learning models

Implementation of deep learning

Improvement of models, e.g. in terms of efficiency, training performance or inference behavior

We promise you excellent contacts in the relevant industrial and scientific environment. We offer a wide range of opportunities in an international environment. We are looking for people who want to make a difference. Make something out of it!

In our  you will find information about our student assistants and their work.

What you bring to the table

Enrolled Bachelor's / Master's student in full-time studies in the fields of computer science, mathematics, physics, electrical engineering or related courses with good to very good grades

Programming experience, especially good to very good knowledge of Python

Experience with machine learning, in particular with neural networks and their implementation (Pytorch, Tensorflow or similar)

Motivation and Initiative

Interest in explainable artificial intelligence (XAI) and / or applied machine learning (AML) and / or efficient deep learning (EDL)

When applying, it is mandatory to indicate and justify a preference of the following available fields of work and topics (i.e. AML, EDL or XAI ) :

Applied Machine Learning (AML) :

Multimodal Machine Learning

Graph Neural Networks

Time series analysis

Diffusion models

Large Language Models

Applications in health and medicine-related topics, e.g. medical text, tabular data and image processing, infection prediction, quality control.

Applications in climate-related topics, e.g. nowcasting, downscaling, prediction of extreme weather events

Efficient machine learning (EDL) :

Efficient distributed learning

AI model coding and compression

Optimization of neural networks for energy efficiency and hardware adaptation

Explainable Artificial Intelligence (XAI) :

Fundamental research and method development in areas of Local Feature Attribution, Global and Mechanistic Interpretability

XAI-based model improvements

XAI Evaluation and XAI-based AI model evaluation

XAI in Physics-Informed Neural Networks (PINNs)

Applications in a wide range of machine learning models, architectures, inference targets and data modalities.

Intersection applications with areas of AML and EDL are possible.

The position requires physical presence in Berlin.

What you can expect

Attractive salary

Modern and well-equipped workplace in a central location

Good and cooperative working atmosphere in an international team

Flexible working hours

Opportunities to write a Master's or Bachelor's thesis, often in close cooperation with industry partners

Opportunities for home office

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 : 77383                Application Deadline : 02 / 15 / 2025