Student Assistant in 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   Be part of change Develop and test new deep learning architectures for time series with multimodal inputs Analyze and preprocess different data types (text, images, etc.) Review the literature and relevant datasets Orchestrate and document deep learning experiments Conduct applied research on exciting projects Prepare presentations and papers Test software and frameworks   What you contribute You are currently enrolled in a master’s program in Computer Science, Mathematics, Statistics, Physics, Electrical Engineering, or a related field, with a strong academic record Proficiency in PyTorch or JAX, including experience training machine learning models on one or more GPUs and the ability to work with existing codebases to set up training runs Research interest in one or more of the following areas: probabilistic machine learning, time series forecasting, deep tabular models, or decision trees Experience with noisy, real-world datasets Solid understanding of machine learning theory Strong data engineering and Python programming skills, with working knowledge of NumPy, pandas, SQL, Bash, Docker, and Git Experience reading and writing mathematical/statistical analyses Excellent spoken and written English   What we offer 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 Opportunities to work from home Opportunities to write a master's thesis (depending on topic suitability)   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. Our tasks are diverse and adaptable – for applicants with disabilities, we work together to find solutions that best promote their abilities. The same applies if they do not meet all the profile requirements due to a disability. Remuneration according to the general works agreement for employing assistant staff. 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.    Ready for a change? Then apply now and make a difference Once we have received your online application, you will receive an automatic confirmation of receipt. We will then get back to you as soon as possible and let you know what happens next.     Contact:  Atahan Özer   Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute HHI    Requisition Number: 81838                Application Deadline: 12/30/2025