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Undergraduate Research Assistant

Atlas Workspace · Singapore, Singapore

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Company Description Atlas Workspace is a visual and verifiable workspace designed to support modern research workflows. The platform enables users to chat with their knowledge base, explore complex ideas through interactive knowledge maps, and verify information with clearly explained citations. By combining intuitive visualization with rigorous verification tools, Atlas helps researchers work more efficiently and transparently. The company focuses on building tools that make research more understandable, collaborative, and trustworthy for individuals and teams.Role Description This full-time, on-site Undergraduate Research Assistant role is based in Singapore. The Undergraduate Research Assistant will support ongoing projects by gathering and organizing information, conducting literature reviews, and helping build and refine knowledge maps within the Atlas Workspace platform. Daily responsibilities include assisting with data collection and analysis, contributing to the design and execution of research workflows, and ensuring that sources are properly cited and verifiable. The role also involves collaborating with team members to document findings, prepare research summaries, and communicate progress clearly. The position is suited for individuals interested in hands-on research experience and in exploring how technology can improve research practices.Qualifications Candidates should possess strong Research and Analytical Skills to design, execute, and interpret research tasks.Candidates should possess Data Analysis skills to manage datasets, perform basic statistical analysis, and derive insights.Candidates should possess effective Communication skills to collaborate with team members and present research findings clearly.Candidates should possess relevant Laboratory Skills, where applicable, to support experimental or technical research activities.Candidates should be enrolled in or recently graduated from a relevant undergraduate program (e.g., science, engineering, social science, information science).Candidates should be detail-oriented, organized, and comfortable working with digital tools and research software.Candidates with familiarity in data visualization, citation management tools, or collaborative research platforms will be advantaged.Candidates should demonstrate the ability to work on-site in Singapore and manage full-time responsibilities reliably.