30 parallel-computing-numerical-methods-"MIT" Postdoctoral positions at Northeastern University
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Research Associate to contribute to its portfolio of research. The Postdoctoral Research Associate will develop new computational methods in knowledge-grounded artificial intelligence, systems modeling
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underserved populations. Research skills and experiences will include utilizing mixed methods research, community engagement, qualitative, quantitative, and big data collection and analysis. This
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: epidemiological methods, environmental health science, developmental psychology or pediatric research, or biostatistics Preferred: Experience with early childhood cohort studies or mother-infant
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. Work will emphasize the development and analysis of advanced methods in areas such as sparse signal recovery, compressed sensing, and statistical estimation, with a particular focus on their role in
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determinants of health. The focus of this role is on cognitive decline and dementia, with an emphasis on: Applying epidemiologic, econometric, and other methods to strengthen causal inference Working with
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qualitative and mixed-methods analyses, contribute to manuscripts and grant applications, and mentor student researchers while developing toward an independent research career. Start date January 2027. MINIMUM
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agentic artificial intelligence (AI) methods that propose, prioritize, and interpret experiments, accelerating the discovery and optimization of catalytic materials for energy and sustainability
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About the Opportunity Job Summary Northeastern University seeks a Postdoctoral Research Associate to join a fixed-term, mixed-methods research initiative investigating the validity the International
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, such as finite-difference time-domain (FDTD) or finite-element methods Ability to independently plan experiments, analyze data, and communicate results in peer-reviewed publications Preferred Hands-on
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not required, we are particularly interested in applicants who use advanced quantitative methods, including computational modeling, machine learning, and/or analyzing structural and functional