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, which 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/ 

Qualifications and experience:

• Degree in Robotics, similar technical field of study, or equivalent practical experience

• Experience with State of the art computer vision libraries

• Proficiency in C++ and Python

• Experience with deploying software on Linux-based systems

• Strong English written and verbal communication skills

• Experience with Git

Nice to have:

• Experience with CNNs and Deep Learning

• Experience with maintaining software through unit tests and Continuous 

Integration (CI)

• Exposure to agile development and SCRUM

• Exposure to sensors and edge computing

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.