Internship WallTouch Detection Algorithm for the Lely Collector

Lely

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profile Job Location:

Maassluis - Netherlands

profile Monthly Salary: Not Disclosed
Posted on: 9 hours ago
Vacancies: 1 Vacancy

Job Summary

What is your role
Are you passionate about robotics data-driven algorithms and smart automation in agriculture Join the Collector team at Lely as an intern and help us develop a walltouch detection algorithm that enables our robotic slurry collector to navigate barns more safely and intelligently.
This internship offers a unique opportunity to work at the intersection of robot perception sensor data analysis and robotics software engineeringdirectly contributing to the next generation of reliable and autonomous farm robots.

During your internship you will:

  • Investigate and analyze sensor data (e.g. IMU wheel encoders motor currents or proximity sensors) to identify patterns related to walltouch events.
  • Develop a data-driven detection algorithm capable of reliably identifying wall contacts during operation.
  • Train test and validate your algorithm using realworld datasets from barn environments.
  • Collaborate with robotics engineers to integrate the algorithm into the Collectors software stack.
  • Document your findings models and implementation steps to support continuous improvement.
     

Qualifications :

You are an enthusiastic student who enjoys tackling complex technical challenges using analytical thinking and creativity. You have a strong affinity for data analysis robotics and algorithm development and youre eager to apply your knowledge to impactful realworld scenarios in agricultural automation.

You bring:

  • Enrollment in an HBO or WO program such as Computer Science Artificial Intelligence Robotics Data Science or a related field.
  • Experience with data analysis and/or machine learning (e.g. Python NumPy Pandas scikitlearn PyTorch or similar).
  • Understanding of signal processing classification models or anomaly detection.
  • Basic programming skills in Python or C.
  • Interest in robotics sensor fusion or agricultural technology is a plus.
     

Aanvullende informatie :

At Lely we offer you an educational and dynamic internship experience at one of the most innovative organizations in the Netherlands. Youll become part of a driven team and have plenty of opportunities to further develop your talents.

  • An international working environment
  • An internship allowance of 650 per month
  • A student apartment if your commute is too long
  • Our modern Lely Campus gives you daily access to extensive sports facilities: an indoor gym outdoor padel courts a basketball and volleyball court as well as table tennis and foosball. You can join Hyrox workouts or sign up for personal training and challenge your colleagues during an active break.
  • Enjoy fresh coffee and tea from our in-house barista made with milk straight from our farm and a healthy affordable company restaurant.
  • A free shuttle bus takes you to and from the metro station in Maassluis ensuring your workday starts and ends smoothly.
  • Were also proud that our dedication and vision have been recognized with the Rotterdam Entrepreneur Award 2025!

Remote Work :

No


Employment Type :

Intern

What is your roleAre you passionate about robotics data-driven algorithms and smart automation in agriculture Join the Collector team at Lely as an intern and help us develop a walltouch detection algorithm that enables our robotic slurry collector to navigate barns more safely and intelligently.Thi...
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Key Skills

  • Time Management
  • Data Analytics
  • Analytical
  • Agile
  • Requirement Gathering
  • Strategic thinking
  • Visio
  • Communication
  • Problem Solving
  • Market Research
  • UML
  • Cross Functional Teams

About Company

Lely, opgericht in 1948, richt al zijn inspanningen op het creëren van een duurzame, winstgevende en aangename toekomst in de landbouw. Rondom de koe ontwikkelt het bedrijf hoogwaardige robotica en datasystemen die het dierenwelzijn, de flexibiliteit en de productie op melkveebedrijve ... View more

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