Website:
iittp.ac.in
Job details:
📢 PhD Admissions Open – IIT Tirupati
The Department of Mathematics and Statistics at IIT Tirupati invites applications for its PhD program in Numerical Partial Differential Equations (PDEs) and Physics-Informed Neural Networks (PINNs).
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Role SummaryThis PhD position focuses on developing next-generation computational methods that integrate classical numerical PDE techniques with modern machine learning approaches such as PINNs and Scientific Machine Learning (SciML). The research will address real-world, high-impact problems arising in areas such as environmental modeling, fluid dynamics, and electromagnetics.
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What Success Looks Like- Development of robust and scalable numerical/PINN frameworks
- Publication of results in high-quality international journals and conferences
- Contribution to open-source or reproducible scientific software
- Ability to bridge theory, computation, and applications effectively
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How This Role FitsThis position is part of a broader research vision at IIT Tirupati to advance computational mathematics and scientific machine learning, with strong emphasis on interdisciplinary and application-driven research. Scholars will collaborate across domains and contribute to cutting-edge developments in data-driven PDE modeling.
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Responsibilities- Develop and analyze numerical methods for PDEs (finite difference, finite element, finite volume, generalized finite difference, Lattice Boltzmann methods)
- Design and implement Physics-Informed Neural Networks (PINNs) for cancer treatment, additive manufacturing and numerical wave tank problems
- Conduct computational experiments and validate models against real or synthetic data
- Optimize algorithms using high-performance computing (GPU/parallel computing)
- Review literature and contribute to research publications and presentations
- Collaborate with interdisciplinary teams while maintaining inclusive and respectful communication
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Expected Qualifications- Master’s degree (or equivalent) in Mathematics / Applied Mathematics / Scientific Computing / Engineering
- Strong foundation in PDEs, linear algebra, and numerical analysis
- Programming skills in Python / Julia / C++ / CUDA
- Familiarity with machine learning or deep learning frameworks is desirable
- Exposure to scientific computing or high-performance computing is a plus
- Excellent analytical, problem-solving, and communication skills
📄 Please see the attached poster for full details
🔗 Apply here: https://lnkd.in/gmM7ktAv
🌐 More details: https://mast.iittp.ac.in/
🗓️ Application Deadline: 02 April 2026 (5:00 PM)
Click on Apply to know more.