Master Thesis - 3D Surveillance Analytics (Computer Vision)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Master Thesis - 3D Surveillance Analytics (Computer Vision): Developing advanced perception methods for static 3D surveillance sensors with an accent on object classification and event detection. Focus on optimizing algorithms for low-power embedded hardware constraints while maintaining high analytical accuracy.
Location: Must be a student affiliated with a Swedish University/College. Role is based in Lund, Sweden.
Company
is a global leader in network technology, providing innovative solutions in video surveillance, access control, and audio systems enhanced by intelligent analytics.
What you will do
- Survey relevant literature to identify promising research directions in 3D sensor analytics.
- Develop and implement methods to address specific challenges in the 3D sensor pipeline.
- Optimize algorithms to ensure low computational cost for embedded applications.
- Evaluate developed methods using both synthetic and real-world sensor data.
- Document the entire research and development process in a comprehensive thesis.
Requirements
- Must be a student in the final stages of a Master's program in Engineering Physics, Computer Science, Electrical Engineering, or similar.
- Must be affiliated with a Swedish University/College (directly or via exchange).
- Must apply in pairs with a co-applicant.
- Strong foundation in machine learning, computer vision, and applied statistics.
- Proficiency in Python and/or C/C++.
- Familiarity with 3D data processing.
Nice to have
- Experience with Rust.
- Working knowledge of embedded systems.
- Experience with simulation environments for 3D sensor data.
Culture & Benefits
- Opportunity to work on cutting-edge surveillance technology at an industry-leading company.
- Collaborative and friendly work environment with a focus on inclusion and diversity.
- Access to professional mentorship and a large, global network of experts.
- Support for academic research and development within a real-world industrial context.
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