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• Coordinating and supervising research assistants to help in the responsibilities stated above. Requirements - A PhD degree in econometrics, economics, finance, or other related fields. - Experience
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data and use that information in an econometric model to obtain strategic and actionable insights for product developers. The projects on patent citation networks use network analysis and econometrics
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, Environmental Economics, Public Policy, or a related field. Excellent quantitative analytical skills with knowledge of econometrics. Proficiency in statistical software such as STATA and R. Experience in managing
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Job Description The department invites applications for a Full-time Research Assistant position. Interested person with strong skills in applied empirical methods and econometrics, and a strong
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investigating challenges associated with the existing consumer behaviour models in psychology (e.g., underlying assumption and econometric identification), revising them to understand economic decisions based
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: Collaborate on research initiatives focused on credit recovery efficiency, applying quantitative finance and econometric methodologies to analyze data and develop models. Machine Learning: Apply expertise in
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science. Specifically, the projects on mobile apps use deep learning-based natural language processing models to extract information and use that information in an econometrics model to obtain strategic and actionable
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skills in applied empirical methods and econometrics, with research interests in behavioral economics and/or health economics. Candidates should have an outstanding record in accredited PhD program in
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, we see the importance of recruiting talent aligned to these values and are looking for a Research Fellow who has: A completed PhD in operations research, econometrics, statistics, or related field
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/Masters in computer science, operations research, econometrics, statistics, or related field strong mathematical and programming background and problem-solving skills knowledge on reinforcement learning