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Post-Doctoral Associate in the Division of Social Science - Dr. Morgan Hardy and Dr. Veda Narasimhan
data collection and experimental research designs. The candidate should have a demonstrated overlapping interest in topics related to Morgan Hardy and Veda Narasimhan’s existing research portfolios
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machine learning. The successful applicant will participate in research involving human computation, knowledge discovery, machine learning, and data science. The position will provide the opportunity
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, and comparisons to AGN and other compact objects, are also studied. A host of techniques and approaches will be employed, in particular using a wealth of multi-wavelength data of transient XBs
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, curriculum vitae, research statement, transcript, and contact information for three referees, all in PDF format. Applications will be reviewed on a rolling basis and considered until the position is filled
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
). Probabilistic and reliability-based analysis applied to underground structures. Advanced subsurface characterization techniques integrating geotechnical and geophysical data. Geohazard mapping and modeling
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healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics
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Information Theory. While excellent candidates with other research interests might be considered, priority will be given to those able to relate to one or more of the above topics. Applicants must have a PhD in
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on natural language processing, computational linguistics, and data science. The main lab research areas are Arabic natural language processing (orthography normalization, grammatical error correction
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models for signal transmission and reception, derivation of fundamental performance limits, algorithmic-level system design, and performance evaluation through computer simulations and/or experimental
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of performance limits, algorithmic-level system design and performance evaluation via computer simulations and/or experimental means. The PDA is expected to actively disseminate results through publications in