Student Assistant Applied Machine Learning


Future. Discover. Together. 
The Group for Applied Machine Learning at the Department for Artificial Intelligence at Fraunhofer Heinrich Hertz Institute in Berlin is looking for a student assistant to strengthen its scientific activities and to develop innovative solutions, especially in the context of interdisciplinary collaborations. Become a part of our team and join us on our journey of research and innovation!


What you will do

  • Develop and test new deep learning architectures

  • Analyze and preprocess different data types, mostly climate-, weather- and geo-data

  • Conduct and document Deep Learning experiments

  • Experience applied science in exciting projects

  • Prepare material for publications

  • Review relevant literature and data


What you bring to the table

  • Study of mathematics, computer science, physics or similar with good to very good grades

  • Strong programming skills in Python with knowledge of frameworks such as NumPy, Pytorch, Pandas etc

  • Experience in using Linux (Ubuntu) via the terminal

  • Writing clean and concise code

  • Diligence in implementing, testing and documenting algorithms

  • Curiosity about a deeper understanding of Deep Learning architectures

  • Interest in the intersections of AI and Climate science and AI and Epidemiology


What you can expect

  • Fascinating challenges in a scientific and entrepreneurial setting

  • Attractive salary 

  • Modern and well equipped workspace in central location

  • The position is initially limited to 6 months. An extension is explicitly desired.

  • 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 6 months. 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!




Dr. rer. nat. Jackie Ma

Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute HHI 



Requisition Number: 73611                Application Deadline: 06/30/2024


Um dich für diesen Job zu bewerben, besuche bitte jobs.fraunhofer.de.