The Computational Epidemiology (CompEpi) group at the University of Iowa is seeking applicants for a post-doctoral scholar, ideally starting in Fall of 2023.
This is currently a one-year position, but based on availability of funding and other factors, the position may be extended to a second year. The primary source of funding is the CDC MInD Healthcare network (https://www.cdc.gov/hai/research/MIND-Healthcare.html), but CompEpi researchers are also supported by funding from the NIH and NSF.
The CompEpi group currently supports several CS PhD, Masters and undergraduate students. The post-doctoral scholar will have regular opportunities to mentor these students. Our research is published in CS conferences and journals (e.g., AAAI, ICDM, SDM, KDD), journals such as PNAS, PLOS Comp Bio that cater to a broad science audience, and infection control and hospital epidemiology journals. The post-doctoral scholar will be expected to contribute to ongoing papers and present our work at scientific conferences and CDC meetings.
The CS faculty in the CompEpi group include Bijaya Adhikari, Sriram V Pemmaraju, and Alberto M Segre.
Depending on the interests of the post-doctoral scholar, one or more of these faculty members will serve as their faculty mentor. The CompEpi group has strong inter-disciplinary ties, and most ongoing projects involve not just CS faculty, but also faculty from internal medicine, epidemiology, biostatistics, and health economics. The post-doctoral scholar will be expected to collaborate with these faculty and learn the language and research practices of these allied disciplines.
The CompEpi group’s primary focus is on the use of computational techniques to understand, model, and mitigate healthcare associated infections (HAIs) such as C. diff and MRSA infections. These infections are typically amplified in hospitals, nursing homes, out-patient clinics, etc. and can often be resistant to a wide spectrum of antibiotics.
Education Requirement:
A PhD or equivalent in Computer Science (CS) or related fields such as applied mathematics, statistics, or operations research is required.
Required Qualifications:
Expertise in one or more of the following areas to solve problems in computational epidemiology as they relate to HAIs: AI, algorithms, discrete optimization, data mining, large-scale discrete-event simulations, machine learning, mathematical modeling, and network science.
Desirable Qualifications:
A background in epidemiology or healthcare research.
To Apply:
Interested candidates should send a CV, research statement, and names of 3 references to Sriram V Pemmaraju at sriram-pemmaraju@uiowa.edu.
