Get Outlook for iOS<https://aka.ms/o0ukef> ________________________________ From: aapor-net@groups.aapor.org <aapor-net@groups.aapor.org> on behalf of Ford, Sarah S. (via aapor-net list) <aapor-net@groups.aapor.org> Sent: Monday, April 8, 2024 7:09:15 AM To: aapor-net@groups.aapor.org <aapor-net@groups.aapor.org> Subject: [aapor-net] - Student traineeships in survey methodology open at U.S. State Department * This email originates from a sender outside of CUNY. Verify the sender before replying or clicking on links and attachments. * Dear Colleagues, We would appreciate your help getting the word out to interested students that the U.S. Department of State’s Office of Opinion Research (OPN) is now accepting applications<https://www.usajobs.gov/job/783771900> for two paid Methodological Student Trainees, for (1) an incoming or early grad student and (2) for a seasoned graduate student. These traineeships last one year, with possibility for renewal. Students may work full-time during school breaks and part-time during the school year, as desired/ arranged. An on-site presence in our Washington, D.C. office will be required during the initial onboarding period; some telework may be possible thereafter. About OPN The Office of Opinion Research is the U.S. government's official overseas pollster. We support U.S. diplomacy by providing the Secretary of State, the White House, and policymakers across the government with timely, insightful analyses of foreign public opinion. OPN’s regional and methodological experts commission public opinion surveys and focus groups around the world. We are uniquely positioned to assess the impact of public opinion on the policies and actions of foreign leaders, as well as identify opportunities and obstacles for U.S. public diplomacy and strategic communication. Methodological Student Trainees At the incoming or early graduate level, responsibilities include: • Harmonization of cases and variables across multiple data sets; • Assisting with questionnaire design, including measurement conceptualization to address issues of concern to U.S. policymakers; • Assisting with data cleaning and data quality assessments; • Helping develop data visualizations for complex survey data; • Analyze global data to detect patterns and changes in foreign opinion over time and across countries• Support analysts with qualitative or statistical analysis of public opinion survey data (may include support employing Machine Learning and/or Artificial Intelligence techniques) At the seasoned graduate level, responsibilities include: • Help develop sampling strategies for probability-based sampling in face-to-face, telephone, and mixed mode/multiple-frame surveys • Evaluate weighting and sampling approaches for complex sample designs, including strategies to mitigate unit and item non-response • Assist with survey design (including innovative research designs for challenging environments and hard-to-reach populations) • Support a data science approach to cataloging and analysis of datasets • Analyze global data to detect patterns and changes in foreign opinion over time and across countries • Conduct literature reviews of advanced survey and analytic methods and presenting findings to staff • Help develop training curriculum for internal and external staff • Support analysts with questionnaire design, data visualizations, qualitative analysis, and/or advanced multi-variable analysis of public opinion data (may include support employing Machine Learning and/or Artificial Intelligence techniques) To Apply U.S. Citizenship is required. The advertisement will close on April 12 or when 100 applications have been received; to ensure consideration, we encourage interested candidates to submit their materials today, April 8, before midnight ET. For more details and to apply, see https://www.usajobs.gov/job/783771900 Thank you, Sarah To change your mail delivery preferences, visit your deliverability preferences page<https://groups.aapor.org/> To view the archives for this list, visit the list archives<http://groups.aapor.org/aapor-net> To view the archives for messages posted prior to 7/12/2019, visit this page<https://www.aapor.org/My-AAPOR/List-Archives/aapor-net.aspx>