Open date: August 31, 2022
Most recent review date: Friday, Oct 14, 2022 at 11:59pm (Pacific Time)
Applications received after this date will be reviewed by the search committee if the position has not yet been filled.
Final date: Tuesday, Jan 31, 2023 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
The Davis Arbovirus Research and Training (DART) Lab at the University of California, Davis seeks a postdoctoral researcher to develop web-based data analysis and visualization tools to support public-health and vector-control decisions in California and other U.S. states. The position will work as part of the Vectorborne Disease Surveillance (VectorSurv) team, along with local, state, and federal partner agencies, to develop data tools for the VectorSurv online data system (https://vectorsurv.org and https://maps.vectorsurv.org). Responsibilities will include (1) designing processes and writing code to integrate diverse data sources, including data on climate, land use, human demographics, and vector surveillance and control, (2) developing predictive models for vector abundance and vector-borne disease risk, (3) working with the programming team to automate models for use in VectorSurv’s web applications, and (4) writing manuscripts describing findings.
The position will offer many opportunities to interact with the broad community of researchers in vector-borne diseases at UC Davis and elsewhere. UC Davis regularly ranks in the top 5% of U.S. public universities in research funding, and the location of the campus offers great weather, easy access to the urban areas of Sacramento and the San Francisco Bay, as well as numerous recreational opportunities from the Pacific Ocean to the Sierra Nevada Mountains.
Appointment will be for a 1-year initial term, with possible extension based on progress and funding availability.
Qualifications: Ph.D. in epidemiology, vector ecology, data science, or a related field, with excellent verbal and written communication skills. Demonstrated proficiency with manipulation of diverse data formats and computer programming (e.g., in Python, R, and/or SQL) is required. Rigorous training and experience in statistical and/or mechanistic modeling, especially for epidemiological or ecological applications is required. Applicants should be highly motivated, able to perform independent research with minimal supervision, and have publications in internationally recognized English-language journals. Preferred skills include proficiency with command-line scripting, GIS software, spatial analysis, or analysis of raster data (e.g., multispectral aerial or satellite imagery).
- Ph.D. in epidemiology, vector ecology, data science, or a related field
- Excellent verbal and written communication skills
- Demonstrated proficiency with manipulation of diverse data formats and computer programming (e.g., in Python, R, and/or SQL)
- Rigorous training and experience in statistical and/or mechanistic modeling, especially for epidemiological or ecological applications
- Highly motivated, able to perform independent research with minimal supervision, and have publications in internationally recognized English-language journals
- Proficiency with command-line scripting, GIS software, spatial analysis, or analysis of raster data (e.g., multispectral aerial or satellite imagery)
Curriculum Vitae - Your most recently updated C.V.
Cover Letter (Optional)
Statement of Research Interests
Statement of Contributions to Diversity, Equity, and Inclusion - Contributions to diversity, equity, and inclusion documented in the application file will be used to evaluate applicants. Visit https://academicaffairs.ucdavis.edu/faculty-equity-and-inclusion for guidelines about writing a statement and why one is requested.
- 3-5 required (contact information only)
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We are an Affirmative Action/Equal Opportunity employer, and particularly encourage applications from members of historically underrepresented racial/ethnic groups, women, individuals’ with disabilities, veterans, LGBTQ community members, and others who demonstrate the ability to help us achieve our vision of a diverse and inclusive community. For the complete University of California nondiscrimination and affirmative action policy see: http://policy.ucop.edu/doc/4000376/NondiscrimAffirmAct
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