Vacancies

We are seeking an experienced Sr. Mechanical Designer who can analyse the construction of the current robot and work with the rest of the team on the next version. In this position you will have to design and test improvements for the robot, as well as make proven prototypes ready for mass production.

We are seeking an experienced Sr. Mechatronics Engineer who can analyse the dynamics and control software of the current robot. The main goal is to make our robot remove weeds faster, more effectively, and as robust as possible. A part of this process will require you to go to the fields and work on the robot directly. You must be able to estimate the risks, costs, and development time of any suggested improvement, and you need to communicate efficiently with our Mechanical and Software Engineering teams and suppliers.

We are seeking a Sr. Software Engineer to ensure our development code can easily evolve into production code. This position will include analysing our current setup and codebase and suggesting and implementing improvements to make it more robust. Additionally, considering it’s all about the robot, you will at times work with the robot directly on the field. You will have to analyse its performance in the real world and determine improvement points. Once found, you should be able to communicate the action points effectively to the software team and others, and make accurate estimations of the required development time.

We are seeking a Robot Network Engineer that enables all our hardware components to communicate flawlessly and securely. Our communication network is part local between the components on the robot itself, as well as online, sending data back to our servers. This position will include keeping a detailed overview of connected components and dependencies between, as well as evaluating and improving the current setup.

We are seeking a Sr. Web Developer to help us develop our customer-facing portal. In this position you will be responsible for creating the interface through which the farmers can see the state of their field, together with all the relevant metadata that our robots were able to gather.

We are looking for a Sr. Sales Representative who can pitch our weeding approach to farmers in the Netherlands and abroad. We intend to revolutionise organic farming in all of Europe, and we realise this will require some convincing. We will need someone who can effectively transfer our belief in our weeding robot to others, and who can find out where and how we can most effectively reach new customers.

We are looking for an Agronomist who can help us see the weeding process from the field’s perspective, to support the innovation at Odd.Bot. Your technical input and arguments will be of important value to support your colleagues. This position will include determining how we can more effectively remove weeds, as well as better mitigate damage to crops and soil. You will combine your agronomic expertise with your knowledge in agricultural machinery to support the team for engineering and testing activities. You will also set up and carry out various research about the robot performances in the field. Understanding the impact of the changing environment and weather conditions on the performance of the robot will be of great importance. On top of that, the Agronomist Field specialist will have interest in understanding the needs of the clients and farmers thus to support the decision making during strategic phases of the product development process.

We at Odd.Bot aim to remove weeds using environmentally friendly solutions, currently we mechanically grip and remove the weeds with a robotic arm. But we are also looking into quicker, more efficient methods in which laser removal is a promising concept. The student would develop concepts for a subsystem which can point a laser beam at the location of the weed determined by our machine learning algorithm. Securing accuracy, robustness and safety in a moist and harsh environment would be the main challenge to tackle.

Odd.Bot’s current implementation focusses on autonomous crop and weed detection to mechanically remove the latter. The assignment would include research into which data to collect and using which sensors to allow crop health monitoring. Think of photosynthesis, water content, fungus or disease detection using for example UV or infrared cameras. The student can use the results from this research to order hardware and write preliminary code that extracts this data and test it on different kinds of plants. If time allows, it can even be implemented on one of the current Odd.Bot prototypes.

We at Odd.Bot don’t want to keep on developing the sustainable weeding method of the future forever, we want to prove it works today. To make that happen, a can-do spirit and knowledge of robots and machinery isn’t everything, we also need knowledge of the soil, crops and weeds we’re working with. The assignment would be all about going to the field, creating and assisting with field tests. You would, for example, assess the effect of our robots on crop health or soil compaction, and advise us on how to take steps to improve our impact. We aim to work in quick iterations, so an internship for a whole weeding season would likely let you see the effects of your suggestions first-hand.