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The Social & Decision Analytics Division (SDAD) is seeking applications for multiple postdoctoral associates in statistics and social and behavioral sciences. SDAD is a leading laboratory in the Biocomplexity Institute & Initiative (BII) at the University of Virginia. BII performs world-class informatics research in life sciences, social sciences, and human health by integrating theory, modeling and simulation with computational and experimental science in a transdisciplinary, team science research environment. SDAD combines expertise in statistics and social and behavioral sciences to develop evidence-based research and quantitative methods to inform policy decision-making and evaluation. The researchers at SDAD span many disciplines including statistics, economics, sociology, psychology, political science, policy, health IT, public health, program evaluation, and data science.   SDAD researchers address complex social problems by leveraging the diversity of data flows available today including administrative and government records, surveys, social media, and sensors. Through team collaboration, the postdoctoral candidate is expected to develop the capacity to discover, repurpose and redirect these data flows to solve critical social problems. Computational complexity is at the heart of SDAD research and SDAD leverages all the research capability of BII, along with the High Performance Computing infrastructure. The positions will be offered at the rank of postdoctoral associate and will be located in BII's location in Arlington, VA. Position reports to Sallie Keller, Director of SDAD and Professor of Public Health Sciences. The anticipated start date for the position is May of 2020, earlier start dates will be considered. Required Qualifications: Applicants must be on track to receive a PhD in statistics, social and behavioral sciences, digital humanities or in a very closely related field by May of 2020 and must hold a PhD at the time of appointment. Experience with advanced approaches to statistics and data-driven model development. Experience with statistical programming languages such as R programming and databases. Excellent communication skills, both oral and written, demonstrated through the development of publications and delivery of presentations. Be motivated, enthusiastic and self-driven. Ability to excel in a highly collaborative team science environment. Preference will be given to those applicants with: Experience using diverse sources of data, both traditional ones such as surveys, and non-traditional ones, such as administrative data and social media. To Apply: Please visit UVA job board here , c omplete the  application, and see below for documents to  attach. Please note that multiple documents can be uploaded in the box or you can combine them into one PDF. Applications that do not contain all of the required documents will not receive full consideration. Required Application Documents: CV Cover Letter detailing your relevant experience and interest in the position Summary of your coursework In addition, please have three confidential letters of reference sent to this email address: SDADjobs@virginia.edu . Review of applications is ongoing, and will continue until the positions are filled. To learn more about SDAD and BII, please visit us at biocomplexity.virginia.edu For questions about the position or application process, please contact Savanna Galambos at skh7b@virginia.edu   This position is restricted and is dependent upon project need, availability of funding, and performance.  The University will perform background checks on all new hires prior to employment.  This position will also require an Education Verification (FSAKA). The University of Virginia, including the UVA Health System and the University Physician’s Group are fundamentally committed to the diversity of our faculty and staff.  We believe diversity is excellence expressing itself through every person's perspectives and lived experiences.  We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information.

Postdoctoral Fellowship Position in Developmental and Learning Science The Learning Research and Development Center (LRDC) at the University of Pittsburgh is accepting applications for a Postdoctoral Fellowship in youth development and learning across multiple ecological contexts with an emphasis on diversity, opportunity, and equity. The initial appointment will be two years with the possibility of renewal for a third year. The position involves work on several longitudinal research projects exploring how sociocultural and psychosocial factors influence youth of color’s identity development, academic learning, and socioemotional wellbeing during middle childhood and adolescence. The work takes an interdisciplinary approach and applies questions and methods from psychological and education science to elementary and secondary school settings. Applicants must have a doctorate and a track record of publication in psychology or education, substantive knowledge and background in the field of developmental psychology, child/adolescent development, or learning science, and excellent academic writing and interpersonal skills. Expertise is necessary in theory, methods, and research framed by dynamic, relational processes of the positive development of diverse youth (particularly youth who have experienced adversity and challenge), in strength-based approaches to research design and program evaluation. Strong quantitative skills (e.g., HLM, SEM, and growth modeling), or experience with mixed methods approach are preferred.    The fellow will receive strong mentoring with well-established scholars focused on the demanding aspects of producing high quality scholarship. The fellow will be expected to build a research program by formulating research questions, generating research designs, writing grants, conducting analysis, and writing and presenting findings. To apply for this position, please submit (1) a cover letter describing your research goals and training, including why your background and interests are a good match for the position, (2) Curriculum Vitae, (3) two writing samples, (4) three letters of reference to https://app.education.pitt.edu/employment/postings The online system will prompt applicants to request three letters of recommendation, directly. Reviews of applications will begin immediately and continue until the position is filled. However, interested applicants are strongly encouraged to submit their application no later than 3/30/2020 . Inquiries may be directed to Dr. Ming-Te Wang, at mtwang@pitt.edu , or Dr. James Huguley, at Huguley@pitt.edu   LRDC is an internationally renowned center with the aim of promoting basic and applied research on learning in its cognitive, neural, social, and motivational aspects and to make research and human development links to formal and informal settings. Pittsburgh is repeatedly voted among “The Most Livable City”, with affordable cost of living and access to a wide array of seasonal recreation opportunities, professional and collegiate athletic events, and a vibrant cultural district.