About UMass Amherst
UMass Amherst, the Commonwealth's flagship campus, is a nationally ranked public research university offering a full range of undergraduate, graduate and professional degrees. The University sits on nearly 1,450-acres in the scenic Pioneer Valley of Western Massachusetts, and offers a rich cultural environment in a bucolic setting close to major urban centers. In addition, the University is part of the Five Colleges (including Amherst College, Hampshire College, Mount Holyoke College, and Smith College), which adds to the intellectual energy of the region.
The Postdoctoral researcher will be responsible for developing forecasting models for infectious diseases including COVID-19 and influenza, as well as ensemble methods to combine forecasts from multiple models. Researchers at the Reich Lab are leaders in this field; the lab is currently leading the COVID-19 Forecast Hub, a dynamic global collaborative research initiative (https://covid19forecasthub.org/), and we have previously led similar initiatives for forecasting influenza. We have close collaborative relationships with many academic groups and public health agencies at the state and national level.
- Specific projects will be determined taking into account the Postdoctoral's interests and experience, and may be of either a methodological or an applied flavor. Possible topics include approaches to ensemble forecasting of novel pathogens; mechanistic models for forecasting disease progression or estimation strategies for such models; non-parametric time series forecasting models; models using hierarchical structure or copulas to capture dependence across time and space; and exploring the use of digital surveillance data to improve forecasts when the primary data source has reporting delays.
- The successful candidate will be expected to write and submit academic manuscripts describing the results of this research.
Minimum Qualifications (Knowledge, Skills, Abilities, Education, Experience, Certifications, Licensure)
- Strong quantitative background and formal training in statistics, machine learning, data science, computational epidemiology, or a closely related field.
- Demonstrated proficiency with R or Python is required.
- Doctoral Degree must be earned by time of appointment.
Physical Demands/Working Conditions
Typical office environment
Directly supervised by Dr. Nicholas Reich, Associate Professor
M-F 40 hours per week
Pay is consistent with the bargaining unit contract.
Special Instructions to Applicants
Interested candidates should submit the following application materials for priority consideration by November 5, 2020 and position will remain opened until filled.
- A cover letter that includes a statement of research experience and interests,
- A curriculum vitae,
- PDF copies of a recent publication or writing sample,
- Contact information of three professional references.
UMass Amherst is committed to a policy of equal opportunity without regard to race, color, religion, gender, gender identity or expression, age, sexual orientation, national origin, ancestry, disability, military status, or genetic information in employment, admission to and participation in academic programs, activities, and services, and the selection of vendors who provide services or products to the University. To fulfill that policy, UMass Amherst is further committed to a program of affirmative action to eliminate or mitigate artificial barriers and to increase opportunities for the recruitment and advancement of qualified minorities, women, persons with disabilities, and covered veterans. It is the policy of the UMass Amherst to comply with the applicable federal and state statutes, rules, and regulations concerning equal opportunity and affirmative action.