Would you like to make a difference to our planet, environment & biodiversity, while working with deeptech & sensor-based technology?

Then this opportunity might be interesting to you.

We are a deeptech start-up, named PerPlant, who is on a mission to help farmers transition into sustainable agriculture by use of AI & sensor technology.

We are building a start-up that uses camera sensors, computer vision, and AI on the edge to help farmers monitor their fields, including pest pressure and biomass levels. This allows farmers to gain insight on where to spray and how much spraying of chemicals (pesticide and fertilizers) is precisely needed, which reduces their cost for chemicals and the negative impact that chemicals have on the environment, human health, biodiversity, and climate.

For more information please see here: https://www.perplant.ai/

You will be an integrated and crucial part of our development team perception software, working closely with electronics and mechanical engineers in our team. This includes taking part in and impacting our day-to-day agile and scrum-inspired development roadmap.

We are looking for someone who:

• 3+ years of working experience in Computer Vision targeted to product development.

• Strong knowledge of Python programming

• Strong knowledge of C/C++ (programming and debugging)

• Experience working with OpenCV and Classical computer vision such as clustering, image enhancement techniques etc.

• Experience with 3D reconstruction using images.

• Experience working with ROS2 and VSLAM, using IMU Fusion, etc.

• Experience in Deep Learning with knowledge of at least one of PyTorch or TensorFlow

• Knowledge of parallel computing, OpenCL, CUDA, and GPGPU is a plus

• Knowledge of software optimization and embedded programming is a plus

Tasks you’ll be involved in:

• Design and implement algorithms for online and offline intrinsic and extrinsic calibration of complex devices composed of several sensors, cameras, IMUs, etc.

• Develop (C++, Cuda) efficient algorithms to segment plants in the image plane, localize them in 3D space using geometric projection or VSLAM, track and store them in databases for real-time operations.

• Real-time Incremental Image Mosaicing based on Monocular SLAM.

• 3D reconstruction of crop canopies or plants for height and width estimation.

• Computer vision algorithms on device: Research, architect, and implement high-performance computer vision software on device with state-of-the-art capabilities.

What do we offer:

• An attractive internship in a small and agile team, with continuous sparring with the remaining team.

• A workplace in an innovation hub surrounded by other exciting startups and projects

• Due to the small size of the team, you will have the opportunity to be involved in a wide range of tasks and you’ll have a big say in what you’ll be working on.

• A flexible workplace with a young founder team.

• Learning and adopting new skills

• Possibility to pursue new interests

• All the coffee and snacks you can absorb

Application process:

Deadline: NA

The internship is unpaid and the duration will be set to match the requirements set by your line of study.

The address of employment is BLOXHUB, Bryghusgade 8, 3, 1473, 1473 København K