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for Advancing Teaching and Learning Through Research (CATLR), and the Office of Faculty Development (ADVANCE). We welcome candidates with recently-awarded PhD, EdD, or related doctoral degrees (2022 or later) in
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also expected to maintain the laboratory and exercises functional supervision over graduate and undergraduate students. The appointment generally does not extend beyond two years. To learn more about the
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functional supervision over graduate and undergraduate students. The appointment generally does not extend beyond two years. To learn more about the work in the group, checkout out the group website. https
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), psychophysics (in person and online), computational modeling, and machine learning to arbitrate among competing hypotheses about the neural mechanisms of conscious awareness. This project is part of
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The work heavily depends on data-driven, evidence-based modeling and collaboration with practitioners. The successful candidate will have completed a PhD (any discipline, required by start of appointment
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. CV with a list of publications. Names and contact details for 2 references. QUALIFICATIONS PhD in network science, physics, big data, behavior modeling, urban science, complex systems, machine learning
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learning/AI, and science of science, as well as quantifying art. The BarabásiLab's current work spans the applications of networks toward understanding food and nutrition, human diseases, disease progression
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contributing to multiple projects including resilience-aware scheduling, deep learning workload job scheduling, and storage system performance tuning. The candidate will have the opportunity to engage in