Internship: Intellectual Property protection Neural Networks
Job description
Duration: 6 months
Do you have affinity with Neural Networks?
This internship position might lead you to a starter point in your future career!!
In this role, you have the opportunity to:
Learn more about trained neural networks and Private Arithmetic and how to apply it in an embedded system to protect IP
You are responsible for
- Understanding the trained neural network and identifying the location(s) in the source code reflecting IP
- Understanding the impact (i.e. footprint and performance) of applying the Private Arithmetic solution to a trained neural network
- Determining the most optimized way of applying the Private Arithmetic solution regarding i.a. performance, footprint and scalability.
- Determine the minimal requirements (e.g. memory size, computing power, etc.) for an embedded system to run the protected trained neural network based on your findings
The Embedded Systems department, which focuses on application of technologies that connect the physical world to the digital world, like connectivity and high-performance computing. The department consists of scientists, architects and development engineers working closely together with application specialists, other scientists and engineers in multidisciplinary teams in a highly innovative, challenging and inspiring environment.
You will work at our High Tech Campus in Eindhoven.
- An academic way of thinking and student of a University master education in Computer Science & Engineering, Electrical Engineering or Mathematics
- Knowledge about cryptology, C programming, embedded systems and affinity with neural networks
- Excellent written and oral communication skills in English
An opportunity to gain experience in a highly professional, innovative and enthusiastic environment. This internship assignment might lead you into your first step in your future career path!
- This internship assignment is open for discussion to make it feasible for you to conduct your thesis.
- Duration: 6 months
- We prefer students able to start as soon as possible but no later than January or February 2019
Required documents in order for us to continue with your application:
- Resume