Academic Internship

3 semanas atrás


Braga, Portugal Bosch Tempo inteiro

Autonomous driving Deep Learning perception algorithms benefit from accurate 3d point cloud data/labels.

**Your contribution to something big**:

- Setup a framework to generate labeled data from simulated scenes with parametrized properties (e.g. day/night, weather conditions, sensor properties/noise, corner situations...);
- Compare performance of DL models trained on simulated data, with ones trained exclusively on real data;
- Investigate performance drop and approaches mitigate to sim2real gap (e.g. fine-tuning on real data, synthetic data augmentation...);
- Investigate scaling of performance on real data wrt. to amount/percentage of simulated data.

**Qualifications**:
**What distinguishes you**:

- Enrolled in a Masters program in Computer Science, Robotics, Physics, or a similar technical field of study;
- Solid C++ and/or Python programming skills;
- Experience in at least one of the following domains: machine learning, robotics, computer vision, LiDAR, Radar;
- Familiarity with deep learning frameworks (e.g. Tensorflow/PyTorch) is a plus;
- Good level of English (spoken and written);
- Sense of Team Work.

**Additional Information**:
**What we offer you**:
Challenges in an international environment | career opportunities in one of the best companies in the world | flexible hours | medical services | discounts for employees | sports and health related activities | canteen | good access to public transports | space for creativity.

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