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

• Applied science in exciting projects

• Design, execute and document machine learning experiments

• Testing the latest deep learning architectures and methods

• Analysis and visualization of large amounts of different data (e.g. from medicine or climate research)

• Review of relevant literature and data

• Preparation of texts and presentations

What you bring to the table

• You are currently studying computer science, mathematics, physics, electrical engineering, statistics or a related field of study with good to very good grades

• Programming skills in Python

• Good to very good theoretical and practical (e.g. PyTorch) knowledge of deep learning

• Independent, structured and precise way of working (e.g. when implementing, testing and documenting algorithms)

• Interest in topics such as e.g. AI in biomedicine, AI application to climate data (nowcasting, super-resolution), and/or generative AI (e.g. with diffusion models)

• Since we are interested in long-term cooperation, you should be enrolled for at least one more year. Ideally, you are at the beginning of your master's degree.

• You live in Berlin or Brandenburg

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

• Flexible working hours and options for (partial) home office  

• Where applicable, opportunities to write a Master's or Bachelor's thesis later (only if suitable and if topic and specialization fit)

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!
 

Contact:

Dr. rer. nat. Jackie Ma

Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute HHI 

www.hhi.fraunhofer.de 

Requisition Number: 72811                Application Deadline: 04/30/2024