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Field
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role Conduct research on data quality and long-term reliability in smart sensor systems for industrial monitoring Develop methods, models, and computational tools for sensor data validation, anomaly
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health. This is an exciting opportunity to work in a high profile, a pioneering initiative to develop novel built environment models to inform health outcomes. HD4 is a major international collaboration
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contaminants. The successful candidate will contribute to a cutting‑edge research effort aimed at transforming environmental monitoring and water treatment. Key Tasks: Conducting excellent collaborative research
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processes and environmental engineering principles to ensure sustainability is embedded in the planning Experience modelling hydrological processes Experience of network simulation modelling i.e. for water
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Science, or a closely related field Prior coursework and working experience in data science, machine learning, statistics, or related areas Proficiency in Python for data analysis and modeling, machine learning
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awareness (SA), like our work on Situational Graphs (S-Graphs), improve on existing techniques by combining 3D environmental maps with detailed knowledge about objects into a single, optimized model. First
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24 Feb 2026 Job Information Organisation/Company Barcelona School of Economics Research Field Economics » Environmental economics Researcher Profile First Stage Researcher (R1) Positions Master
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under my supervision to support research related to AI-driven modeling of forestry systems, plant physiological processes, and ecological traits. The position will focus on developing computational models
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alternative energy to better food safety to breakthrough medical and environmental applications achieved through rare isotope research.We teach. We explore and we discover. We collaborate and lead. We innovate
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analytics, geographical information science, satellite positioning, ubiquitous positioning, photogrammetry and remote sensing, geodesy and geodynamics, environmental monitoring, geo-hazards studies