Academic Internship

Há 4 dias


Braga, Portugal Bosch Group Tempo inteiro

Company Description

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference.

The company' success lies in its highly specialized and innovative team, and on the technological know-how which makes Bosch the leading supplier in the automotive market.

Bosch is becoming one of the world's leading companies in the field of the Internet of Things (IoT). At the Bosch Research & Development Center in Braga, more than 350 engineers develop car multimedia solutions and the most innovative localization, perception and safety sensors that are helping to shape connected and autonomous mobility. From hardware to software to physics, we have all kinds of opportunities waiting for you.

**Job Description**:
Deep Learning models have showed good performance when solving LiDAR based 3D tasks (e.g. object detection, semantic segmentation, lane, free space estimation, etc...). But deploying a model for each task is computationally expensive, especially when similar tasks, with similar modalities/information is being considered.

This motivates the use of Multi-task networks which learn to simultaneously solve multiple related tasks.

**Your contribution to something big**:

- Create a multi-task deep learning model from LiDAR data to solve 3D tasks;
- Compare single tasks vs multitask performance;
- Investigate relation between number of tasks vs performance and complementary vs conflicting tasks;
- Explore possibility backbone/input-representation for all tasks;
- Compare with of multi-input representation model.

**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**:

- Remote friendly, hybrid working system;
- Challenging projects;
- Measurable goals with structured feedback strategies;
- Private health insurance;
- Mental health and wellness support;
- Employee discounts in 300+ companies;
- Sports and health activities;
- Relocation support in case you change city or country to join us;
- Free bus to commute between Braga and Porto;
- Continuous career opportunities and personal development in our growing organization;
- Opportunity to influence direction and help shape our business;
- Knowledge sharing sessions within the team, project, and organization;
- Yearly personal development allowance for training;
- Access to online courses (e.g. Coursera, LinkedIn Learning);
- Knowledgeable colleagues who like to share their experience;
- Space for creativity, with the link to recurrent innovation projects;
- Work in an international context with colleagues all over the world.

**Success stories don´t just happen. They are made...



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