Position Summary
Two postdoctoral research fellow positions are available in the TekweZoh lab at Indiana University School of Public Health Department of Epidemiology/Biostatistics to work on a recently NIDDK funded R01 project on measurement error missing data and unmeasured confounding. The candidates will join a dynamic and collaborative research team led by Drs. Carmen D. Tekwe and Roger S. Zoh in the Department of Epidemiology and Biostatistics at Indiana University to develop and apply advanced statistical approaches for evaluating devicebased measures of physical activity and relationships with nutrition and obesity. Successful candidates will conduct research on semiparametric and Bayesian nonparametric methods in measurement error missing data and functional data. The developed methods will be applied to studies of wearable devicebased measures of physical activity and selfreported measures of dietary intake in the context of obesity research. One candidate will be primarily supervised by Dr. Carmen Tekwe and will work on parametric and semiparametric methods of measurement error correction and missing data approaches in functional data health disparities nutrition physical activity and obesity. The second candidate will be primarily supervised by Dr. Zoh and will work on Bayesian semiparametric and nonparametric methods highdimensional data testing and physical activity assessment. Both candidates will also collaborate with Dr. Lan Xue from the Department of Statistics at Oregon State University. The candidates are expected to be selfmotivated and able to work independently. The duties associated with these positions include statistical programming authoring and coauthoring of manuscripts and participating in research meetings mentoring of graduate students and candidates are required to have excellent communication skills. The candidates will also be responsible for the development of R packages and relevant software associated with this research.