Machine Learning Researcher, Epidemiology
Digital Biology(1 month ago)
About this role
A Machine Learning Researcher - Epidemiology at the Institute for Experiential AI will conduct research at the intersection of applied mathematics, reinforcement learning, and epidemiology. The role contributes to understanding disease progression and developing reinforcement learning frameworks for population- and molecular-level biological applications. The researcher will be part of a university research hub and collaborate with faculty and researchers at NetSci and Northeastern’s London campus.
Required Skills
- Applied Mathematics
- Reinforcement Learning
- Simulation Coding
- Epidemiology
- Network Modeling
- Git
- Scientific Writing
- Data Analysis
Qualifications
- MS in Computer Science
- MS in Mathematics
- MS in Physics
About Digital Biology
northeastern.eduNortheastern University is a private, global research university founded in 1898 and known for its emphasis on experiential learning and engagement with industry and communities. It offers a broad range of undergraduate, graduate, and professional programs across fields such as engineering, health, business, computer science, and the social sciences, anchored by a signature cooperative education (co-op) model that integrates classroom study with paid, real-world work experiences. Northeastern operates a network of campuses, research centers, and international partnerships that support interdisciplinary research, entrepreneurship, and applied solutions to societal challenges. The university emphasizes career outcomes, innovation, and global engagement through collaboration with employers, governments, and civic organizations.
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