Development of a Deep Learning-Based Detection Model for Barn Environments

Lely Technologies N.V.
Maassluis, Netherlands
11 days ago

Role details

Contract type
Internship / Graduate position
Employment type
Full-time (> 32 hours)
Working hours
Shift work
Languages
English

Job location

Maassluis, Netherlands

Tech stack

Artificial Intelligence
Machine Learning
Data Processing
Deep Learning
Model Validation
Information Technology

Job description

  • Developing, training, and evaluating a deep learning based detection model
  • Working with real-world datasets captured in barn environments
  • Exploring and preprocessing data for machine learning applications
  • Analyzing model performance and identifying opportunities for improvement
  • Tackling challenges related to unstructured and highly variable environments
  • Collaborating with colleagues working on autonomous robotics and AI solutions

Requirements

Do you have experience in Deep learning?, We are looking for an independent and analytical student who enjoys solving complex technical challenges. You are eager to apply your machine learning knowledge in a practical and innovative environment.

To be considered for this internship, you meet the following requirements:

  • You are enrolled in a WO program related to Artificial Intelligence, Computer Science, Robotics, Data Science or a similar field
  • You have knowledge of deep learning architectures and machine learning techniques
  • You are familiar with data processing and model evaluation workflows
  • You have strong analytical and problem-solving skills
  • You are able to work independently and take ownership of your tasks
  • You have a good command of the English language, both written and spoken

Benefits & conditions

An educational and exciting experience at an international company driven by innovation. If you have questions, you can always turn to one of your colleagues who are just as passionate about their field. In addition, we offer you:

  • A €650 gross internship allowance per month (based on 40 hours)
  • An international working environment
  • Our modern Lely Campus provides daily access to extensive sports facilities, including an indoor gym, outdoor padel courts, an outdoor basketball and volleyball court, table tennis, and table football. 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 own barista, with milk straight from our farm, as well as a healthy and affordable company restaurant
  • A free Lely shuttle bus that takes you to and from the metro in Maassluis, ensuring a smooth start and end to your workday
  • Successes should be celebrated, from anniversaries to Christmas parties. At Lely, we know how to celebrate

Do you recognize yourself in the points above? Then apply directly via the vacancy on our website.

Internship Interview Days

About the company

A sustainable, profitable, and enjoyable future for dairy farmers by combining robotization, engineering, and farming expertise. This is what we believe in. This journey began over 75 years ago with the dream of two brothers in Maassluis. Since then, we have become an innovative global leader in automated systems for dairy farmers worldwide. With 2,300 specialized professionals, we continuously work on new agricultural revolutions. We still do this from our Campus in Maassluis, the building with the highest achievable sustainability standards in the Netherlands, while also operating around the world. Our goal is to ensure that dairy farming remains attractive for future generations. Vacatureomschrijving Are you excited about applying deep learning in real-world environments? During this internship, you will contribute to the development of the next generation of autonomous farm robots by creating and evaluating a deep learning based detection model for complex barn environments. Our robots operate in indoor and outdoor environments that are dynamic, cluttered, and highly variable from barn to barn. Understanding these environments is a key challenge for autonomous robotics. During this internship, you will work with real-world datasets captured in barn environments and gain hands-on experience with the complete machine learning workflow.

Apply for this position