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Descripción del puesto:
Job Description
Are you eager to shape the future of computer vision? Join us to develop a state-of-the-art, data-driven, and differentiable intrinsic camera-projection model that seamlessly integrates camera calibration directly into modern Deep-Learning systems.
* During your internship, you will develop an innovative, data-driven, differentiable intrinsic camera-projection model alongside a dedicated methodology for its creation and application.
* You will implement this architecture as a differentiable neural network to facilitate end-to-end optimizable integration of camera calibration into downstream tasks.
* Additionally, you will place a strong emphasis on Deep-Learning frameworks such as 3D-Reconstruction, object detection, and V-SLAM.
* Finally, you will have the prospect of continuing this topic as a Master's thesis and publishing your developed methodology at a relevant conference
Requerimientos del candidato/a:
Qualifications
* Education: Master studies in a technical field like Computer Science or comparable
* Experience and Knowledge: in Machine Learning, Linear Algebra and optionally in Computer Vision; first experience with Python (or equivalent programming language)
* Personality and Working Practice: you excel at structuring your tasks independently and proactively achieving your goals with strong personal drive
* Work Routine: presence in the office occasionally expected (at least once a month)
* Languages: very good in English
| Origen: | Web de la compañía |
|---|---|
| Publicado: | 03 Oct 2026 (comprobado el 06 Oct 2026) |
| Tipo de oferta: | Prácticas |
| Sector: | Electrónica de Consumo |
| Idiomas: | Inglés |