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Internship – 3D Geometry Processing & Point Cloud Algorithms

Heerlen
Full-time
Intern / Student

Your mission

As an intern in the R&D department at Phenospex, you will contribute to the development of our 3D point cloud processing pipeline. You will work on challenging computational geometry and computer vision problems, helping us transform raw sensor data into accurate and reliable geometric models.

This internship is intended for students who already have a solid technical foundation and want to take the next step: learning how advanced algorithms are developed, tested, and integrated into production-quality software as part of an experienced engineering team. Along the way, you will gain hands-on experience with professional software development practices, including collaborative design, code reviews, testing, and continuous integration.
  • Design and implement algorithms for processing 3D point clouds and meshes, including:
    - Filtering and denoising point clouds and meshes
    - Object detection and segmentation using techniques such as clustering and graph-based methods
    - Merging and repairing partial meshes
  • Prototype and evaluate new approaches based on scientific literature and your own ideas
  • Develop efficient, maintainable C++ software for integration into our production pipeline
  • Validate and optimize algorithms using real-world sensor data
  • Collaborate closely with experienced software engineers and researchers through design discussions, code reviews, and testing

Your profile

  • Master’s student (preferred), PhD student, or an exceptional Bachelor’s student in Computer Science, Robotics, Mathematics, Engineering, or a related field
  • Strong programming skills in modern C++ (Python experience is a strong plus)
  • Good understanding of algorithms and data structures, with the ability to translate mathematical concepts into robust software
  • Experience with computational geometry, 3D graphics, computer vision, robotics, or point cloud processing is highly desirable
  • Comfortable reading scientific publications and turning promising ideas into working prototypes
  • Experience applying LLMs and coding assistants to programming problems effectively and responsibly, in line with data disclosure policies
  • Excellent verbal and written English communication skills (German and/or Dutch is a plus)
  • Curious, analytical, and eager to solve challenging technical problems
  • Motivated to learn professional software engineering practices while working in a collaborative team environment

Why choose us?

Our culture

  • You have the opportunity to work on complex problems at the intersection of high tech and nature. Your work will have a real impact on advancing sustainable agriculture with an innovative and exciting digital phenotyping technology.

  • Transparent leadership: we communicate our performance, genuinely value your feedback and trust your commitment.

  • We have an open and informal culture.

Our team

  • You will inspire and be inspired by an ambitious, accountable, and crazy group of people from many countries who believe they can change the world!

How we work

  • Most of our value creation is done in-house - we only outsource what we cannot confidently do ourselves.

  • Our processes don’t own us – we own them. If they don't help us, we change them.


Perks of working at Phenospex
  • Grow with us! We offer plenty of opportunities for personal and professional development.

  • We offer flexible working hours, up to 50% home office, and a competitive, performance-oriented compensation package.

 


About us

Make farming better for our planet.

Millions of researchers, ag companies, and farmers around the world are working hard to develop new solutions to reduce the impact of farming on our planet. We believe digitalization will be the major driver in this process. That’s why we develop digital solutions that capture crop data and translate it into actionable information, amplifying the impact of millions of people and accelerating the transition towards sustainable agriculture. Find out more here.