Postdoctoral Researcher – AI-Driven Computational Science
Amrita Vishwa VidyapeethamMatch Score
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Protocol Intelligence
Data-driven signals on your job's competitivenessNiche PhD-level research reduces qualified applicant density despite Bengaluru metro location.
Highly specialized scientific-ML and PDE expertise limits transferability across industries.
Mandatory PhD and publication record with specialized computational AI skills enforce stringent filtering.
Job Description
Structured overview of role & requirementsAbout This Role
Develop advanced AI-enabled computational methodologies for solving PDE-based scientific and engineering problems.
Work at the intersection of Applied Mathematics, Scientific Computing, AI, and Engineering to advance areas such as PINNs, Neural Operators, and Digital Twins.
Focus on research and development in areas including Scientific Machine Learning, Finite Element Methods, CFD, Inverse Problems, and High-Performance Computing.
Minimum Requirements
Ph.D. in Mathematics, Applied Mathematics, Computational Science, Physics, Engineering, Computer Science, or a closely related field.
Strong research and publication record relevant to computational science or AI-driven modeling.
Experience or knowledge in Python/MATLAB, numerical methods, FEM, machine learning/deep learning, especially PINNs or Neural Operators is advantageous.
Job location: Bengaluru Campus, Amrita Vishwa Vidyapeetham; application deadline October 31, 2026.
Ideal Candidate Profile
Candidate with a demonstrated research background at the interface of computational science and AI, especially with PDE-based modeling expertise.
Experience or strong interest in integrating AI methods like PINNs, Neural Operators, or LLMs into scientific computing workflows.
Comfort with numerical methods, scientific programming, and applying AI approaches to multi-physics or engineering problems.