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., conferences, workshops, white papers). Is Your profile described below? Are you our future colleague? Apply now! Required Qualifications PhD degree in System Engineering, Software Engineering, Model-Driven
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(preferably, but not necessarily limited to, laser-based materials processing) and/or advanced data-driven reduced-order modelling and optimization. The postdoc position will involve digital twin development
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learning algorithms on graphs to model, characterize, predict, and design the thermal and physical behaviors of diverse material systems. Responsibilities also include the development of software codes
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and control of windfarms For this position the research activity is expected to develop new methods in robust and physics-informed machine learning, reduced-order modelling, data-driven nonlinear model
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learning, and Data-driven modeling and control. The Post-Doctoral associate will be based at NYU Abu Dhabi and will directly report to Prof. K.J.Kyriakopoulos in close collaboration with other researchers
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at the intersection of control theory and machine intelligence. Methodologies of interest include: Robot modelling, Nonlinear and Optimal control, Reinforcement learning, and Data-driven modeling and control. The Post
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obtained from FBG sensors installed in key infrastructures. These data-driven models are subsequently evaluated and optimized by working closely with industrial partners. The expected outcome of the project
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microscopy. Integrate analysis pipelines with imaging hardware workflows, contributing to software automation for tile stitching, autofocus, and multichannel detection. Validate models and workflows using
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. Contribute to open-source software development initiatives for Department of Energy projects. Position Requirements Recent or soon-to-be-completed PhD (typically completed within the last 0-5 years in