Internship: Using Deep Learning to Summarize Videos (Collaborative)

Company Description

We believe in a sustainable, profitable, and enjoyable future for dairy farmers that blends robotics, engineering, and farmer knowledge.

Our journey began over 75 years ago with a dream of two brothers in Maassluis. Ever since, we've been the innovative leaders in automated systems for dairy farmers globally. With a team of 2,300 specialized professionals, we continuously work on new agricultural revolutions. We operate from our Campus in Maassluis – the building with the highest sustainability performance in the Netherlands and globally – but our aim is to make dairy farming appealing to the next generation.

Job Description

Are you studying Computer Science, Embedded Systems, Artificial Intelligence, or other related subjects? (HBO/WO) Are you interested in interning in the technical playground of Lely? Read on for more information!

Practical Information

• This is a collaborative internship.
• You must be available for at least 32 hours a week for your internship.
• You must be available from the end of January 2024 for a period of 3-4 months.
• You should be fluent in English.

Qualifications

Are you passionate about using cutting-edge technology to extract meaningful insights from visual data? Then join our team as a Computer Vision intern focused on video summarization!

In this position, you'll get the chance to work with advanced algorithms that automatically distill essential information from video content. The project you'll be working on is crucial to both the agricultural sector and our technical team. You will play a vital role in bridging the gap between farmers and engineers by providing real-time insights. This collaboration is designed to speed up the process of identifying and implementing improvements, leading to more efficient and effective agricultural practices.

During your internship, your tasks will include:

• Data preparation.
• Algorithm development: Explore and experiment with new deep learning architectures for video summaries to improve performance and efficiency.
• Documentation and reporting: Maintain detailed documentation of experiments, methodologies and results. Present findings and insights to the research team in regular meetings.
• Performance optimization and tuning: Optimize deep learning models for speed and efficient use of resources to ensure real-time or near-real-time video summarization capabilities.
• Integration and implementation: Collaborate with technical teams to integrate developed models into existing systems or applications.
• Iterative Development: Iteratively test and refine models based on feedback and performance analysis.

Job Requirements

• You have experience with Python and C++.
• You have basic knowledge of Deep learning toolsets such as Pytorch, Computer vision tools and libraries such as OpenCV.
• You have experience with image processing and computer vision.
• You are communicative and sociable.
• You are creative and able to express this visually.
• You are accurate and organized.

Meet & Greet days

Please mark November 27, 28, and 30 on your calendar. This year, we are organizing a Meet & Greet between students and internship supervisors. Apply before Monday, November 20. If you are a good match for an internship, we will invite you to this event. #Make it legendary!

Additional Information

This internship offers an educational, exciting experience at an internationally driven company known for innovation. If you have any questions, your colleagues – who are just as passionate about their fields – are always there to help. In addition, we also offer:

• A €400 monthly internship allowance.
• An opportunity to observe all specializations in a wide-ranging internship.
• Potential housing if your commute is too long.
• An opportunity to continue working at Lely after your internship. Approximately 40% of our interns stay on with us!
• Bi-weekly social events for interns to get to know each other better in a relaxed setting.
• #FitatLely program with (online) workout classes, training sessions on working from home and other Body, Mind, or Food-focused activities.

If the above resonates with you, apply directly to our position on the website!