Student Assistant Applied Machine Learning for

vor 6 Monaten


Berlin, Deutschland Fraunhofer-Gesellschaft Vollzeit

**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 strengthen scientific activities in the context of interdisciplinary cooperation with medical and clinical partners. 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**
- Implementing and testing new deep learning architectures
- Analysis and preprocessing of different data types (time series e.g. ECG, images e.g. MRI or microscopy, tabular data.)
- Design, execution and documentation of Deep Learning experiments
- Pre
- and processing of huge amounts of data including visualization
- Applied science in exciting projects related to public health
- Preparation of documentation, publications and presentations
- Review of relevant literature and data
- Design and execution of 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, scikit-learn, matplotlib etc
- Experience and Confidence in using Linux (Ubuntu) via the terminal
- Advanced knowledge in the area of Machine Learning
- Excitement about clean and structured code
- Conscientiousness in implementing, testing and documenting algorithms
- Risk awareness in handling medical data

**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.

Mr. Patrick Wagner and Dr. Jackie Ma

Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute HHI

Requisition Number: 67738 Application Deadline:



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