Stellenbezeichnung: Student Assistent* Applied Machine Learning
Arbeitsort / Location: Berlin
Job Beschreibung: 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 the coding of video signals and data processing. We are looking for a working student for the Applied Machine Learning (AML) group, within the Artificial Intelligence department. In the AML working group, new innovative solutions are researched and developed, which are used in current projects. Be a part of our team and come on a journey of research and innovation!
What you will do
Support for the implementation of software within the project „AI-based information platform for the localization and simulation of heat islands for innovative urban and transport planning“ (KLIPS)
In the KLIPS project, AI-based methods are researched and developed to detect and forecast heat islands in cities
Develop and implement procedures for acquiring data, storing that data in a postgreSQL database, and preparing it for AI analysis
Research, development and implementation of deep neural networks to analyze parking occupancy and traffic flow data
What you bring to the table
Full-time student at a German university, preferably from the field of computer science, mathematics or a related subject with excellent performance
Excellent knowledge of mathematics and computer science, very good programming skills in Python and very good usability of neural network frameworks (like PyTorch)
Deep theoretical understanding of machine learning (ML) as well as deep neural networks
Basic knowledge of SQL databases
Independent and structured way of working, also within a team
What you can expect
Fascinating challenges in a scientific and entrepreneurial setting
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
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. 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.
Interested? Apply online now. We look forward to getting to know you!
Mr. Thomas Meiers and Mr. Jackie Ma
phone: 030 31002 218
Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute HHI