Role Overview
You will be involved in designing, validating, and optimizing deep learning models for 3D reconstruction , with direct application to real-world challenges in agriculture. This is a hands-on research and development position where creativity, technical expertise, and scientific rigor are equally valued.
Key Responsibilities

Research & Development : Design, develop, and improve algorithms for 3D modeling and depth estimation using deep learning techniques.
Collaboration : Communicate technical findings effectively with team members through documentation, code reviews, and meetings.
Scientific Contribution : Support the preparation of academic publications and presentations for conferences in the field.
Project Execution : Manage the end-to-end development cycle — from prototyping and testing to deployment and iteration — of AI models and software components.

Required Qualifications

PhD in Computer Science, Data Science, Engineering, Mathematics, or a related discipline.
Minimum of 1 year experience with deep learning-based dense depth estimation and 3D reconstruction or SLAM (Simultaneous Localization and Mapping)
Proficiency in Python and popular ML / data processing libraries (e.g., PyTorch, TensorFlow / Keras, NumPy, SciPy, OpenCV, Pillow).

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