This postdoctoral fellow will work on a study of how small communities in Southeast Alaska have responded to the COVID-19 pandemic. Their work will emphasize different community responses and experiences throughout the pandemic, as well as lessons learned about community resilience and sustainability. The postdoctoral fellow will build upon existing data from the first year of the grant, which has involved collecting surveys and interviews from small Southeast Alaska communities. The work was done in collaboration with the RAND Corporation and Central Council Tlingit Haida Indian Tribes of Alaska. The postdoctoral fellow will take this research further, for example by 1) conducting further research on variable vaccination rates and motivations across communities, or 2) exploring the implications of deferred medical care for rural Southeast Alaskan communities during the COVID-19 pandemic. The fellow will have leeway to help direct the direction of follow-on research, and will be expected to assist with writing a follow-on proposal to NSF.
Doctoral candidates who will complete their PhD by fall of 2021 and early-career PhDs within 5 years of receiving their doctoral degree are eligible for the position. The candidate is expected to be comfortable with both qualitative and quantitative research methods, and to have experience and/or strong interest in community-based participatory approaches to research. The initial term of the position is one year, which is renewable dependent upon funding from NSF.
Sitka Sound Science Center seeks a postdoctoral fellow with a background and interests in one or more of the following areas:
● Public and Community Health
● Health Administration
● Pandemics and Health Preparedness
● Clinical Medicine
● American Indian / Alaska Native Populations
● Medical Anthropology
● Cultural and Cross-Cultural Studies
● Community Resilience
● Rural Studies and Rural Development
Individuals with interdisciplinary training and interests, and who are interested in careers that focus on rural and remote communities are likely to be a good fit for this position. Experience with case-based research approaches (e.g. qualitative comparative analysis), familiarity with patient datasets, and/or factor analysis or latent variable modelling would be helpful.