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. Apply deep learning, reinforcement learning, and other advanced AI techniques to improve decision-making in ATM systems. Work with real-time and historical air traffic data (e.g., ADS-B) to build
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, Mathematics, Physics, or a related discipline Excellent programming skills in Python and/or R Strong expertise in machine learning, deep learning and predictive modelling Experience working with multimodal
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(especially related to applications of artificial intelligence), and real-world experiences so students not only accumulate knowledge but also develop the commitment and desire to apply what they learn in
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practical application of machine learning methods (especially deep learning) Publication of scientific results in renowned international journals and conferences Teaching of courses as well as planning and
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be found at: https://syllabi.iu.edu/ Responsibilities Full-time lecturer-track faculty commit to a balanced workload of teaching and service, which includes: · Teach graduate courses in the LIS
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Learning has an open position for a doctoral student with a background and strong interest in deep generative learning and computer vision/remote sensing. The successful candidate will join a project funded
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-content microscopy and AI/deep-learning-supported image analysis will be used to quantitatively assess neuronal morphology and maturation. Parameters will include dendrite length and branching, axon growth
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Learning and software engineering with at least 3-5 years of research experience (including PhD training) in related fields. Proven track record in research and development of cybersecurity and/or Deep
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experimentation and training. Science of Deep Learning: Exploring mechanistic interpretability and understanding the fundamental drivers of model performance at scale. As an early member of this fast-growing team
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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply