Student Assistant Data Processing and Data Analysis

vor 4 Monaten


Berlin, Deutschland Telecommunications, Heinrich Hertz Institute Vollzeit

**Future. Discover. Together.**

We are the Applied Machine Learning (AML) group within the Department for Artificial Intelligence. Currently we are looking for a student research assistant for the Data Processing and Data Analysis Workflow to provide us with the data that feed our Machine Learning Models. Become a part of our team and join us on our journey of research and innovation

**What you will do**
- Search, acquire and obtain Data relevant for our Machine Learning models
- Clean, merge and preprocess data
- Analyze and visualize data and check their validity and plausibility
- Create databases and insert data to them
- Extract data from databases

**What you bring to the table**
- Study of computer science, mathematics, physics or similar with good to very good grades
- Strong programming skills in Python with knowledge of libraries such as NumPy, Pytorch, Pandas, Scikit-learn, Matplotlib etc
- SQL is a plus
- Git knowledge is a plus
- 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

**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 1 year. 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.

Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute HHI

Requisition Number: 75390 Application Deadline: 10/31/2024



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