ETS India
Location
Gurgaon | India
Job description
The ETS Research division conducts rigorous foundational and applied research on the most critical issues facing education and the workforce. Central to ETS's legacy of global leadership in learning and assessment, ETS Research is dedicated to advancing the science and practice of measurement, driving innovation in digital assessment, learning and teaching, and advancing equity of opportunity for all learners. As an Intern in Research, you'll work with experts who are nationally and internationally known as thought leaders, trusted advisors, and go-to collaborators for their high-impact work addressing significant educational and societal goals. If you're accepted into the program, you'll collaborate with researchers on projects related to foundational and innovative topics in education. Upon the completion of the program, you'll have the opportunity to present your findings to teams across Research.
Tasks: You’ll perform any number of tasks associated with a research project, such as: Developing a research plan to address a critical issue and executing the plan Performing a literature review and developing new frameworks Learning specialized procedures or software, if required Working with data Conducting various psychometric and statistical analyses with real or simulated data Preparing a conference proposal Drafting a research report and documenting research instruments Presenting your findings to teams across Research Selection The main criteria for selection will be scholarship and the match of applicant interests and experience with the research projects. Late or incomplete applications will not be considered. We value team members who bring a diversity of interests and experiences to Research. We strongly encourage students from underrepresented groups and backgrounds to apply. Experience and Skills Current full-time enrollment in a relevant doctoral program Completion of at least 2 years of coursework toward the doctorate prior to the internship program start date Doctoral students who have completed at least 2 years in one of these areas or a related field are encouraged to apply AI/Machine learning Assessment, measurement, psychometrics, psychometric modeling Cognitive or learning sciences Education Linguistics and applied linguistics Process data and analysis Psychology Qualitative research methods Statistics and data science, computational statistics User experience/User interface Workforce Program descriptions Intern research projects will be aligned with one of the 11 research programs described below. 1. Inventing a New Paradigm for Personalized Assessment in the Service of Equity 2. Assessment of Complex Skills 3. Innovations in Literacy and Communication Assessments 4. Innovations in Interactive Digital Assessments in STEM 5. Validity, Fairness and Ethics in AI 6. Getting More from Large Scale Assessments (LSAs) 7. Understanding Teaching Pathways 8. Postsecondary Admissions 9. Languages Research 10. Global Higher Education and Workskills Research 11. K-12 ResearchJob tags
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