Dr. Ajitesh Srivastava, Department of Electrical and Computer Engineering, University of Southern California is seeking a Postdoctoral Research Associate to work with him on the intersection of epidemic modeling and machine learning. The candidate will contribute to the development of infectious disease forecasting, projections, understanding, and evaluation, and to novel deep learning methods. The candidate will have the opportunity to present their work to experts in epidemiology and public health and build systems that help answer public health policy questions.
The ideal candidate will have a strong background in machine learning, time-series and regression, and experience with epidemic modeling and forecasting. Additionally, interest or experience in any combination of the following is encouraged – estimation, graph neural networks, and network algorithms. A PhD in Computer Science, Electrical Engineering, Applied Math, Statistics, Quantitative Biology, or other relevant areas is required. Job Accountabilities: (1) Research in the above stated areas. (2) Mentoring undergraduate and graduate students. (3) Attending and presenting in group meetings and meetings with collaborators. (4) Contributing to research papers, reports, and proposals.
This is a fixed-term, one-year position with a possibility of renewal. The applications will be reviewed immediately and continue until the position is filled. Interested candidates should send the following to ajiteshs@usc.edu: (1) Academic CV, (2) A Research Statement (1-2 pages) summarizing relevant prior work and proposed research directions. Please feel free to contact Dr. Srivastava for further inquiries.
