4 jobs found

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.

The Department of Psychology at Arizona State University invites applications for two Postdoctoral Research Scholars in the Science of Learning and Educational Technologies (SoLET) Laboratory directed by Danielle McNamara. The postdoctoral research scholars will be working on projects funded by the IES and ONR to (a) design and develop tutoring modules and (b) explore factors influencing students’ performance in comprehension, writing, and mathematics. The candidates will be involved in studies with elementary, high school, and college students including teachers and schools across multiple sites in AZ, NH, MN, and GA. Ideal candidates will have expertise in experimental and quantitative methods and be interested in working in a collaborative research lab, particularly one focusing on learning and cognitive sciences. Ideal candidates will have specific expertise and experience in two or more of the following areas: educational technology design and assessment, game design, intelligent/adaptive tutoring systems, classroom and school-based research, natural language processing, data analytics. The positions are full-time, benefits-eligible appointment with no tenure implications. Anticipated start date is January 1, 2020. The qualification for these positions: must have earned a Ph.D. in learning sciences, educational psychology, computer science, data analytics, human factors, or psychology, or in a related field within the past four years. To apply, please submit the following as pdf(s) through Interfolio at http://apply.interfolio.com/71425 : (1) a curriculum vitae, (2) statement of research interests, and (3) three letters of recommendation which should be uploaded by your recommenders to Interfolio directly. Email and paper applications will not be accepted. Inquiries concerning the search should be addressed to the Chair of the Search Committee: Dr. Danielle S. McNamara ( dsmcnama@asu.edu ).  Please mention that you are applying for the Educational Research position. For information on current lab projects, visit: https://soletlab.asu.edu/ . Initial deadline for receipt of complete applications is December 1, 2019 . If not filled, review of complete applications will continue every week thereafter until the search is closed. Salary range is $50,004.00 to $54,756.00 depending on previous experience. Arizona State University is located in the Phoenix/Scottsdale metropolitan area. Learn more about what The College of Liberal Arts and Sciences has to offer by viewing https://thecollege.asu.edu/faculty . The College values our cultural and intellectual diversity, and continually strives to foster a welcoming and inclusive environment. We are especially interested in applicants who can strengthen the diversity of the academic community.   A background check is required for employment. Arizona State University is a VEVRAA Federal Contractor and an Equal Opportunity/Affirmative Action Employer. All qualified applicants will be considered without regard to race, color, sex, religion, national origin, disability, protected veteran status, or any other basis protected by law. ASU’s full non- discrimination statement (ACD 401) is located on the ASU website at https://www.asu.edu/aad/manuals/acd/acd401.html and https://www.asu.edu/titleIX/ In compliance with federal law, ASU prepares an annual report on campus security and fire safety programs and resources.  ASU’s Annual Security and Fire Safety Report is available online at https://www.asu.edu/police/PDFs/ASU-Clery-Report.pdf .  You may request a hard copy of the report by contacting the ASU Police Department at 480-965-3456.