The Center for Neural Engineering at Penn State University has 2 postdoctoral positions available for a interdisciplinary project on Predictive Personalized Public Health (P3H), funded by an NIH Director’s Transformative Award. This project employs predictive modeling and optimal control strategies to fuse microbial and environmental variables for point-of-care predictive treatment in the developing world. It is a transdisciplinary fusion across infectious disease, epidemiology, global health, genomics, meteorology, computer science, control engineering, statistics and mathematics, and the collaborating investigators include S. Schiff, M. Ferrari, M. Haran, F. Zhang, S. Greybush, G. Jenkins, V. Monga, J. Broach, T. Berry, T. Sauer, J. Paulson, and R. Irizarry.
Ideal candidates would have a recent PhD with relevant background drawing from Engineering, Mathematics, Physics, Meteorology, Data Assimilation or Data Science, Statistics, Dynamical Systems or Computational Biology. Send CV, brief description of research experience, and contact information for 3 references, to Steven Schiff ([email protected]). Qualified applicants would need to apply through Penn State’s job website (https://psu.jobs/jobs) referencing Job #87507. Penn State is committed to affirmative action, equal opportunity and the diversity of its workforce.