Are you ready to transform the construction industry with cutting-edge robotic solutions? ROICO Solutions, a dynamic startup based in Denmark, is on the lookout for a talented Computer Vision Engineer to be a key player in our groundbreaking journey. We want someone to strengthen our team starting February.
At ROICO we are developing a collaborative painting tool using robotic technology. We empower painters with a solution that works alongside them allowing them to focus on the high-value and value-creating tasks. This tool will help painters strengthen their business, reduce physically demanding tasks, and address the rapidly increasing labor shortage. We make robotic solutions that work together with people.
As a Computer Vision Engineer - Intern, you will be working on improving our obstacle avoidance pipeline. Your responsibilities may include, but not limited to:
Work with RGB(D) sensors and Machine Learning for obstacle detection
Create datasets, train and evaluate different Neural Network architectures for obstacle detection
Perform camera calibration for accurate pose estimation
Investigate the performances of various computer vision algorithms for obstacle detection from CNN to N-Shot-Learning
Flexible working hours
An opportunity to make a tangible impact in an early-stage startup
Implementation of your best ideas in real-life applications
Office space in an innovation hub alongside other exciting startups
Hands-on experience with a real-life robot for testing and experimentation
Work remotely, but sometimes work with the robot will be necessary
Work with a variety of sensors
Relevant (ongoing) education, ideally robotics or software engineering
Knowledge of linear algebra and geometric transformation
Understanding of statistics and probability theory is a plus, but not required
Proactive problem-solving attitude
An eye for details and aesthetics
Proficiency in C/C++ and/or Python
Feeling comfortable working in a Linux environment
Familiarity with Git
Experience with ROS2 is a plus but not required
Experience with object detecting using neural networks, e.g Yolo
Experience with N-shot learningÂ
Duration 3 - 6 months
Fluent in English
Introduction Stage - Submit your CV and Cover letter
[45m] Technical Interview - A conversation with Antonios Karageorgiou to delve into your experience
[15m] Meeting with CEO Tijmen Spiertz
Our culture is built on these principles:
Dream Big: Ideate beyond established patterns for impactful change in construction.
Plan Pragmatic: Recognize that positive change is a step-by-step process. Innovation is achieved through executing fast in small steps
Build Better: Set a standard for the next construction generation through sustainability and high-quality solutions. This also means building a workplace where people can thrive.
This position is unpaid and on-site (Odense, Denmark). We welcome creative applications, so if you have projects you're proud of, share the link (GitHub, YouTube, etc.).
Are you ready to shape the future of construction robotics? Apply now and be a part of our innovation journey at ROICO!
This job comes with several perks and benefits
