Student Assistants - Erlangen, Deutschland - Fraunhofer-Gesellschaft
Beschreibung
You are interested in the field of Deep Learning and DNN and would like to develop further knowledge?Then have a look at our offer
What you will do
- You contribute to the development, enhancement and testing of our compiler for cuttingedge DNN accelerators
- You perform design space exploration of neural network hardware architectures
- You explore end to end flow of deep learning compilers
What you bring to the table
- You are currently a master student in computer science, electronics engineering or information technology or equivalent degree
- You have experience with python
- You have basic knowledge of neural networks
- Your English skills are very good
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 15 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 flexibly determine the working days. After your studies, you have the option of working with us full or part time.
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 Integrated Circuits IISRequisition Number: 63000
Application Deadline:
none
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