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with deep learning and 3D point clouds Apply for this job See advertisement About the position The Faculty of Environmental Sciences and Natural Resources Management (MINA) at Norwegian University
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computer vision models for forest-based 3D point cloud data. In recent years, large advances have been made for deep learning algorithms for high-resolution point clouds from small geographic areas. We seek
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the most energy‐intensive infrastructures in modern economies, with their demand projected to rise sharply as digitalisation, artificial intelligence (AI), and cloud computing expand. This growth presents
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component (Master’s level or equivalent), A solid background in signal processing and machine learning Knowledge of embedded systems, cloud and edge computing is an advantage Excellent programming skills
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for medical time-series. Cutting-Edge Resources: Benefit from state-of-the-art High-Performance Computing (HPC) facilities, unique multimodal datasets, and advanced wearable technologies. Global Collaboration
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. Understanding of or curiosity about machine learning, AI, or cloud computing tools used in agricultural analytics. Interest or experience in working with industry, government, or multidisciplinary research teams
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system stems from the need to increase efficiency in marine monitoring. Furthermore, existing computer vision solutions often depend on cloud computing infrastructure and require specialized expertise. A
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documentation. Data management & computational reproducibility. Experience with data pipelines, version control (e.g., GitHub), reproducible workflows, and cloud or HPC environments. Additional Information: In
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2000 undergraduate majors. The department boasts multiple state-of-the-art core- units with full-time staff. The core facilities include those focused on mass-spectrometry (MS)-based analyses (e.g
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Positions Country Norway Application Deadline 14 Nov 2025 - 23:59 (Europe/Oslo) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a