Research Fellow

KronosAI is hiring a Terence Tao-level exceptional researcher in applied mathematics to lead foundational work at the intersection of AI, physics, and large-scale scientific computing. Full-time preferred. Exceptional part-time arrangements will be considered for senior academics (e.g., applied mathematics professors at leading institutions). What You'll Do Define, lead, and scale research programs in foundational models for physics simulation. Propose and execute new research directions in numerical PDEs and mathematical foundations of scientific machine learning. Work closely with the engineering team to translate theory into scalable algorithms. Set the intellectual and technical bar for research at KronosAI by publishing high-impact research in leading venues. What We're Looking For PhD in Applied Mathematics, Physics, Computer Science, or a closely related field (or equivalent research record). Deep expertise in numerical analysis of PDEs, computational physics, scientific computing, mathematical foundations of machine learning and operator theory. Strong publication or equivalent research track record of turning academic innovations to real-world or industrial use.