Computer Vision Researcher - Lazio - Microtech Global Ltd

    Microtech Global Ltd
    Microtech Global Ltd Lazio

    1 giorno fa

    Descrizione


    Computer Scientists – Deep Learning for 3 D Reconstruction in Sustainable AgricultureAn innovative research organization is seeking two skilledComputer Scientiststo join its applied research team focused on advancing sustainable agriculture through cutting-edge AI and 3 D modeling technologies.

    This is a full-time, permanent role offering the chance to contribute to impactful projects in a fast-paced, start-up-like environment centered on scientific exploration and practical innovation.


    Role Overview:


    You will be involved in designing, validating, and optimizingdeep learning models for 3 D 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 3 D 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:
    Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related discipline.
    Minimum of1 yearexperience withdeep learning-based dense depth estimation and 3 D reconstruction.
    At least3 yearsof hands-on experience withSLAM (Simultaneous Localization and Mapping)and related 3 D reconstruction techniques.

    Proficiency inPythonand popular ML/data processing libraries (e.g., Py Torch, Tensor Flow/Keras, Num Py, Sci Py, Open CV, Pillow).Strong problem-solving abilities and a solid foundation in mathematics.

    Ability to write high-quality technical documentation and communicate effectively in a collaborative setting.


    Preferred Qualifications:
    Background ingeometry, statistics , and themathematical foundations of machine learning.
    Understanding ofsupervised, unsupervised, and self-supervisedlearning techniques.

    Familiarity withstate-of-the-art methods in 3 D deep learning , including topics such as SLAM, Sf M (Structure-from-Motion), monocular depth estimation, point clouds, and camera parameter estimation.

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