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Research

Responsibilities:
• Frontier Technology Research: Conduct deep-dive research into emerging tech domains, including Artificial Intelligence, Machine Learning, Neural Networks, Semiconductors, Robotics, and AR/VR ecosystems.
• Technical Synthesis & Reporting: Read and analyze academic papers, industry journals, and patent filings to compile comprehensive whitepapers and strategic reports for internal leadership.
• Commercial Use-Case Ideation: Evaluate breakthrough technological advancements and brainstorm practical, high-value use cases for future product development or service offerings.
• Competitive R&D Benchmarking: Monitor global tech trends, track competitor research activities, and map out the evolving landscape of deep-tech industries.
• Knowledge Management: Maintain an organized internal digital repository of research papers, market data, and technology frameworks to support cross-functional teams.

Preferred Skills / Requirements:
• Advanced Technical Comprehension: Strong foundational understanding of core computer science, engineering, or physics concepts, with the ability to comfortably read dense research documentation (e.g., arXiv, IEEE).
• Analytical Writing & Synthesis: Outstanding written communication skills, characterized by the ability to turn complex mathematical or engineering concepts into clear, actionable business summaries.
• Resourcefulness & Intellectual Curiosity: A self-driven approach to tracking down hard-to-find technical information and data points across global databases.
• Academic Background: Pursuing or holding a degree in Computer Science, Data Science, Electronics Engineering, or a highly analytical, research-oriented discipline.