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and real-time data acquisition systems. Participate in testing and deployment of UAV demonstrators at UM6P and OCP sites. Methodology: AI Development: Reinforcement learning, computer vision, and sensor
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pilot-scale testing. Level of experience evidenced by publications in peer-reviewed journals. Fluent in French and English. Experience of working as a member of a multidisciplinary team. Ability to write
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. Main tasks and responsibilities Design, develop, and test IoT solutions for air quality monitoring and electric vehicle battery tracking. Integrate environmental and energy sensors with real-time data
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
thorough experimental testing of developed materials. Collaborate with interdisciplinary teams, including organic and inorganic chemists, and data scientists. Maintain detailed records of experimental and
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biomass recovery will enhance the model accuracy. The model will be integrated for different environmental conditions (e.g. soil background phosphorus availability), and tested for different achievable
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fertilizers. Demonstrated experience in either agronomic testing or material development, with willingness and ability to work across disciplines Experience in the development and characterization of glass
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to design and optimize the properties of materials. Conduct thorough experimental testing of developed materials. Collaborate with interdisciplinary teams, including organic and inorganic chemists, and data
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testing, and advanced process simulation, with the objective of optimizing grinding performance and enhancing resource recovery. The ideal candidate will have a strong background in mineral processing
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for robot learning tailored to edge robotics. Validate and test these methods in both simulated and real robotic environments. Publish research findings in top-tier machine learning and robotics journals and
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-constrained robotic systems. The postdoc will have access to state-of-the-art computational resources. Key Responsibilities: Develop novel methods for robot learning tailored to edge robotics. Validate and test