Future. Discover. Together. 

The Applied Machine Learning (AML) group is part of the Department for Artificial Intelligence and is looking for a student research assistant to support scientific activities in the context of evaluation and deployment of AI, with a strong focus in full stack web development. 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! 

What you will do

• Develop software infrastructure for the deployment of machine learning models

• Analysis and preprocessing of different data types, mostly medical data

• Applied science in exciting projects

• Preparation of presentations

• Review of relevant literature and data

• Testing software and frameworks

What you bring to the table

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

• Strong programming skills in Python and JavaScript with knowledge of technologies such as Angular, Docker, MySQL, FastAPI

• Strong knowledge in the area of DevOps (CI/CD pipelines and server management)

• Strong understanding of web technologies and experience developing and deploying web applications

• Good experience and confidence in using Linux (Ubuntu) via the terminal

• Good knowledge of Git

• Autonomy, independence and self-initiative

• Excitement about clean and tidy code

• Affinity for technologies

• Conscientiousness in implementing, testing and documenting algorithms

• Curiosity about a deeper understanding of Deep Learning architectures

• Interest in the integration of AI to other software infrastructure

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 or bachelor's thesis

• Flexible working hours , up to 20 hours a week

• Opportunities to work from home

Please submit your cover letter and CV in English. 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: 73822                Application Deadline: 06/30/2024