Student Assistants/internship
vor 1 Woche
For the **»RF and SatCom Systems«** division in Erlangen we are looking for you
Within the research project **digital signal processing with artificial intelligence (DSAI)**, the Fraunhofer IIS is actively developing technology which enables network orchestration and distributed machine learning tasks on the extreme edge. One objective is to develop, implement and validate machine learning algorithms that can be split among edge IoT devices.
A use case for our technology is the **SyNaKi project**, where artificial intelligence is used to analyzse sensor data of tagged vultures in a cross-species association with tagged scavenging terrestrial mammals, such as lions. This project -in cooperation with the Leibniz Institute for Zoo and Wildlife Research
- enables us to gain deep insights into the ecosystem of living creatures in order to recognize negative developments changes in behavior and to be able to counteract them at an early stage.
**You like to contribute to an exciting interdisciplinary project, where state-of-the-art machine learning is used to make substantial contributions to preserving biodiversity?**
**Then take a look at our offer**
What you will do
- Implementation of state-of-the art distributed AI algorithms
- Performance tests and comparison of results to common, centralized AI approaches
- Deployment of validated models to edge devices, such as Raspberry Pis
- Experimental realization on our hardware demonstrator in the laboratory
What you bring to the table
- Student in Computer Science, Machine Learning/AI, Electrical Engineering, Physics, Mathematics or a similar field
- Experience in **deep neural networks** and a machine learning framework (e.g. Keras, Tensorflow or PyTorch)
- Programming skills in **Python** (additional languages are a plus)
- Structured, **independent **working style
- Enthusiasm for scientific working methods and state-of-the-art technology
- Bonus: Practical experience in** software engineering workflows** (Git, Gitlab)
What you can expect
- **Flexible **working hours
- ** Open** and **friendly team work**:
- ** Varied **tasks with room for **creativity**:
- Exciting **seminars **and **events**:
- **Networking **with scientists
- **Active contribution** in applied research
- **Interesting** an **innovative **projects
Weekly working hours are determined by agreement. You can start from now on (as a student assistant from **8** to **20 **hours a week or as an intern for a period of at least three months). You can reduce your hours before exams and increase them during semester breaks. You can
**Interested?**
Fraunhofer-Institute for Integrated Circuits IIS
Application Deadline: none Location: Erlangen
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