Student Assistent Applied Machine Learning

vor 3 Monaten

Berlin, Deutschland Telecommunications, Heinrich Hertz Institute Vollzeit

**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**
- Testing new deep learning architectures
- Analysis and preprocessing of different data types, mostly climate
- and weather data
- Orchestration and documentation of Deep Learning experiments
- Processing and visualization of huge amounts of 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 with knowledge of frameworks such as NumPy, Pytorch, Pandas etc
- Experience and Confidence in using Linux (Ubuntu) via the terminal
- Advanced knowledge in the area of Machine Learning
- 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 intersection of AI and Climate science

**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
- Opportunities to work from home

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

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.

Dr. Noelia Otero

and Jost Arndt

Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute HHI

Requisition Number: 69760 Application Deadline:

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