Vacancies

If any of the job or intern vacancies below are interesting to you, feel free to contact us for more information! Or use the "apply" button to apply directly.

Recruitment, consultancy and/or secondment agency?

Thank you for your interest in our Odd.Bot, and we understand that you want to act as an intermediary to help fill our positions. However, our recruitment is not designed to facilitate this, because we always seek direct contact with all our candidates. This means that all unsolicited profiles are treated as direct applications.

Job positions

Do you want to join our multidisciplinary team and tackle the challenge of designing a novel agricultural robot? Then read the open job positions below and apply!

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Machine Learning Engineer

Our robots need your help! You can make them even more brilliant! You are a master at analysing and processing complex data. You are up to date with the latest AI innovations and apply them to the software and the processes involved. You are already working on the next improvement while the field tests are still ongoing. Moreover, you proactively develop innovative solutions to ensure our robots stay ahead. You are a crucial link in our process for innovations in weed control.

Read more & apply
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Procurement and Logistics Coordinator

You always have a clear overview and know precisely what is happening within procurement and logistics. With a practical and pragmatic mindset, you ensure that our processes run smoothly and are continuously improved and elevated to a higher level. While your colleagues focus on developing and producing our robots, you are an indispensable link in the logistics process!

Read more & apply

Robot Software Engineer

We are seeking a Robot 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.

Read more & apply

Terms of employment (for all job positions):

  • A competitive salary
  • 27 paid vacation days
  • Pension contribution
  • Choice between overtime and time for time.
  • Possibility to work from home
  • Flexible working hours
  • Training budget

Internship positions

We are seeking enthusiastic students looking for fully supported and exciting internships! Below you can read about the vacant intern positions, and click on the apply button if you feel you could be a match!
Please note: currently we are only accepting EU-citizens and/or students at an EU-university

Laser removal of weeds

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.

Apply

Crop health detection

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.

Apply
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Field testing

Each year we produce and test more advanced versions of our weeding robots. This internship concerns controlling and overseeing robots on the field, recording and reporting their performance. Whilst on the field, interviews with farmers and other stakeholders could also be conducted. Then, based on your experience you can then join the conversation on how to best improve the robot for next season. If time allows, research into crop health and soil compaction could also be part of this internship.

Apply

You will be in great company

See what previous interns have to say about Odd.Bot!

During my internship at Odd.Bot I developed a program that estimates soil moisture using publicly available data. This allows the Odd.Bot team to optimize their planning regarding the deployment of their robots to the field of the clients. Due to the Covid-19 pandemic, I had to work independently from abroad, but with the feedback and help from the team when needed, I created a useful tool for Odd.Bot whilst I learned a lot regarding agriculture and software development.

Álvaro García - Automation intern (2021)

Working with Odd.Bot has been a great experience for me, even during the pandemic. I have had a lot of freedom to work independently on very interesting and diverse projects and there was always support there when needed.

Steve Howard - Mechatronics Intern (2020-2021)

During my internship at Odd.Bot I was assigned to design a novel plant gripper for the robot. The other Engineers gave me plenty feedback but also allowed me to operate independently. This taught me a lot about the development of a complex robot as well as teamwork. The gripper I designed and built turned out to be a valuable asset for Odd.Bot and after my internship the team hired me to continue developing new grippers and other parts for the prototype.

Nivard Koenis - Mechatronics Intern (2019), Jr. Mechatronics Engineer (2020- present)