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, operating systems and security. Job Description The successful candidate will investigate robot learning methods for control and decision-making on edge robotic platforms. Research will focus on reinforcement
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candidate will investigate robot learning methods for control and decision-making on edge robotic platforms. Research will focus on reinforcement learning, imitation learning, and the integration of large
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, focusing on the design, simulation, and real-time control of interconnected smart systems in domains such as manufacturing, energy, mobility, health, and agriculture. Key Responsibilities: Mentor student
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projects within the Wicked Problems (WiP) learning framework. This role bridges physical systems and their digital counterparts, focusing on the design, simulation, and real-time control of interconnected
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research outputs. Good English (written & oral) and willingness to collaborate with agronomists and partners. Preferred Postdoc or ≥2 years research experience after PhD; first-author publications in
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establishment of field trials Conduct controlled trials under greenhouse conditions testing crop responses to different investigated factors (stresses, amendment, photoperiod, etc.) Develop and deliver training
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partners. Preferred Postdoc or ≥2 years research experience after PhD; first-author publications in relevant journals/conferences. Experience with multimodal data fusion (optical/SAR/soil/phenology
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for a 24-month postdoc position in geochemistry with a particular emphasis on the Upper Cretaceous-Paleogene marine sedimentary sequences in Morocco. We are especially interested in candidates with
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but appreciated). Position Details Contract: Full-time postdoc, 18-month fixed-term, renewable depending on project progress and funding. Facilities: Access to GSMI equipment and analytical platforms
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project exploring the intersection between urban heritage and spatial justice. The postdoc will work within a multidisciplinary research team and contribute to developing new theoretical, historical, and