Internship - R&d - Event Signal Processing Versus
il y a 3 jours
**Internship opportunities at Prophesee**:
**PROPHESEE**:
This is a great opportunity to join a dynamic company and an exciting team and to lead a paradigm shift in computer vision across many industries.
**EVENT-BASED TECHNOLOGY**:
**INTERNSHIP POSITION DESCRIPTION**:
**The main required skills common to MOST internship positions are the following (but not exclusively)**:
- Excellent programming skills in C++ and/or in Python
- Engineering background in Computer Science, Mathematics or related field
- Prior experience in projects involving at least one of the following domains:
- Algorithmic design, e.g. 3d vision, machine learning, numerical optimization, etc
- Software development, e.g. implementation, architecture, optimization, testing, porting on embedded platforms, etc
- Development operations, e.g. source code versioning, continuous integration & deployment, cloud computing, system administration, etc
**R&D**:
**Event Signal Processing versus Spiking Accelerators**:
Event sensors generate sparse and asynchrounous data which are not compatible with Van Neuran conventionnal computers: the states or memory of any event driven algorithm is tight with the computing part. To scale with larger pixel arrays, the bandwith of these sensors have increased and thus the same applies with the need of low level filtering close to the pixels. Many hardware accelerators have been proposed in the state of the art to ease the event processing, either using FPGAs or dedicated ASICs.
**The purpose of this internship is to implement low level event processing using SNN accelerators.**
The plan is:
- SNN accelerator/processing state of the art analysis: Most of the proposed architectures are not suitable with the bandwith of event sensors. Part of this work has to make sure that an existing accelerator can scale up.
- Software Imlementation of low-level processing functions to filter the event stream using SNN. The algorithms will be similar to the filters implemented inside the event signal processor of Prophesee sensors or will be adapted from recently published academics works.
- Hardware implementation using a SNN accelerator from Prophesee partners.
**BENEFITS**:
Salary package : 80% SMIC (9,32 €/h)
Meal vouchers : 9€ / working day (Swile card)
Working hours : 35h / week
Office location : Paris Bastille (74 rue du Faubourg Saint Antoine 75012)
Other benefits : CSE
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