# Internship – 3D Geometry Processing & Point Cloud Algorithms at Phenospex Bv > Location unclear · Intern · Software engineering · open. Source: https://alderhq.app/jobs/personio%3Aphenospex-bv%3A2700676 (read 2026-11-11). ## Facts (observed) - Company: [Phenospex Bv](https://alderhq.app/companies/phenospex-bv) - Location text: Heerlen - Where it can be done from (inferred): Location unclear (evidence: "Location: Heerlen") - Posted: 2026-07-06 (128 days ago) - First seen by alder: 2026-11-04 · last verified: 2026-11-08 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://phenospex-bv.jobs.personio.de/job/2700676 - Skills listed (inferred): Python, C++, LLMs ## Pay and sponsorship - Posted pay: not posted - Recognised sponsor (NL): registered as "Phenospex B.V." (checked 2026-11-09, [register](https://ind.nl/en/public-register-recognised-sponsors/public-register-regular-labour-and-highly-skilled-migrants)) ## Description (the employer's text) ### Your mission 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. --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/personio%3Aphenospex-bv%3A2700676 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.