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for a candidate who: Has a PhD in physics, materials science, chemical engineering, or a closely related field Experienced in electrochemical ammonia synthesis, preferrably LiNRR Strong background in
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7 Mar 2026 Job Information Organisation/Company AALTO UNIVERSITY Research Field Engineering Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Application Deadline 31 May 2026
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functionalities while restricting control to a single, or otherwise limited, discrete set of tuning parameters, enabling practical global actuation and robust device operation. To design optical metasurfaces and
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Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers
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. Applicants should hold a master’s degree with very good grades in sound and vibration, noise control engineering, architectural acoustics, or a closely related field. Excellent written and fluent verbal
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
opportunity to participate in multidisciplinary initiatives within the Aalto House of AI. Your experience You have a recent doctoral degree in electrical engineering, control engineering, computer
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
initiatives within the Aalto House of AI. Your experience You have a recent doctoral degree in electrical engineering, control engineering, computer science, applied mathematics or a related field. Programming
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digital health Computing systems and networks Cybersecurity Human-computer interaction Machine learning and artificial intelligence Software engineering Position details Positions are intended
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bright and motivated Postdoctoral Researcher with an excellent record. Good command of English (both verbal and written) and demonstrated ability to disseminate scientific results are mandatory
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[Position code: MIIKKULAINEN] Atomically Controlled Materials Engineering is a research group at CHEM focusing on development of thin-film processes and materials for microelectronics and energy-related