Job Announcement: USC Dornsife Center for Self-Report Science Postdoctoral Fellowship
The Dornsife Center for Self-Report Science (CSS) within the Center for Economic and Social Research (CESR) at the University of Southern California will have one opening for a postdoctoral position starting in October 2018. This position is for one year. The USC CSS conducts research to better understand the information contained in self-reports, including reports of medical symptoms such as pain and fatigue, emotions, wellbeing, daily occurrences, opinions, and beliefs. The mission of CSS includes improving existing self-report methods and developing novel techniques for characterizing people's experiences from self-reports. Much of CSS's research utilizes daily and momentary real-time data acquisition methods, though large-scale surveys are also employed. CSS actively consults on self-report issues with other units and schools within USC.
Current areas of focus include age-related differences in self-report processes; implementation of PROs into clinical care; evaluation of PROs and objective sensor data; development of novel strategies for characterizing and monitoring experience using ecological momentary assessments (EMA) and in Internet panels.
The post-doc is expected to work full time with Dr. Stefan Schneider on a funded project using EMA pain intensity reports to develop and test new metrics for characterizing patients' pain, with time allotted to work on manuscripts not ectly related to the funded research and opportunities to laborate with other CSS scientists. Candidates will be expected to generate research questions pertaining to the construction and validation of new pain metrics derived from EMA, develop statistical models and conduct data analysis, and contribute to manuscripts for publication.
Candidates must have a Ph.D. in Psychology or a related social science discipline. We are looking for candidates with strong quantitative skills (multilevel modeling, latent variable modeling) and interest in applied methodology related to EMA research. Experience working with and analyzing intensive longitudinal data (ambulatory/EMA/daily diaries) is required. Experience in the area of pain research is not necessary, but preferred.
Please provide a letter of interest with information about your research interests and plans, future employment goals, your CV, and one example of your written work. In addition, two to three letters of recommendation are required. Letter writers should send their letters directly to Ms. Estrada at firstname.lastname@example.org. For questions, please contact Maribel Estrada, Administrator for CSS at email@example.com.