Missouri university of Science and Technology has two positions open at the tenure-track Assistant Professor level or at mid-career level for those interested in interdisciplinary work within the University's "Smart Living" signature research area. Smart living environment connects its inhabitants with smart devices, everyday objects, and living structures through sensors, actuators, and similar devices via a real-time network, with the aim of improving the efficiency of the whole system and optimizing living conditions. Mathematical modeling will play an integral role in optimizing the performance of this complex feed-back system. Use of innovative statistical approaches that overcome the challenges posed by high dimensional and high-throughput data will be essential to making meaningful and valid inferences from the massive amount of data arising out of the Smart Living network. Statisticians interested in these positions will fall under the mathematics and statistics cluster.
Mathematics and Statistics Cluster Description
Candidates interested in Mathematics and Statistics as their home department should have a Ph.D. with doctoral research in statistics or applied dynamical systems with an emphasis on stochastic modeling and data analysis. The candidate must show evidence of strong interests in, and the capability for, developing cutting-edge methodology, theory, and computational tools for solving massive, high-dimensional, and complex data intensive problems. Those with skills and experience in the application of mathematics or statistics in the modeling of complex systems, extracting knowledge and providing insights into mechanisms underlying noisy high-dimensional data, and making causal inference will be highly desirable. Training and experience in the use of data visualization tools for high-dimensional data will be a plus. While establishing a successful collaboration with computer, behavioral, and social scientists working on the smart living initiative, the ideal candidate will be able to contribute to establishing a new Big Data analytic paradigm that offers mathematically/statistically optimal yet practical solutions to the challenges posed by massive, high dimensional and high throughput (high frequency) data.
The complete job advertisement and application instructions are attached.
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V.A. Samaranayake
Curators' Distinguished Teaching Professor
Missouri University of Science and Technology
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