Internship in near-sensor deep learning on parallel architectures applied to computer vision problems at the E3DA Research Unit
Fondazione Bruno Kessler
Trento
20
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Azienda: Fondazione Bruno Kessler Trento
The candidate will be implementing a Neural Network model for object detection in embedded C.
After the implementation, an experimental characterization of power consumption and execution time will be performed.
The final goal of the internship is a demo of the overall system running real time with a DCMI camera and LCD display. Requirements: Ongoing Academic background in Engineering or related fields (e. g.
Physics, Math); Knowledge of Embedded C, microcontroller programming; Knowledge of Neural Networks Optional, but appreciated knowledge about Efficient Net and Mobile Net architectures; Good knowledge of written and spoken English; We offer: Curricular internship; 3-6 months, depending on candidate’s needs and preparation; Canteen Support for the search for accommodation at the affiliated structures; All interested parties are requested to fill in the online form, clicking on " Apply online", and attach the required documents in Pdf format: Curriculum Vitae; Cover letter; Reference letter (optional). Applications will be reviewed as they arrive.
Preferred period: before summer 2021. For any information, contact Elisabetta Farella (efarella@fbk. eu). For any support, further clarification and/or information, the Human Resources Department will remain available via the address: jobs@fbk. eu
✔ Fondazione Bruno Kessler