I am looking for Postdoc candidates through ANRF-NPDF with a background in Electromagnetics, Electrical, Electronics and Communication, and Physics to work in the area of Advanced Antenna Systems (AAS) and Base Station for 5G/6G Wireless Communication, Radar and Target Detection. Kindly share your CV to ramesh.patel@iittp.ac.in Lab. Website: https://lnkd.in/gGiD8SXf My profile: https://lnkd.in/g9eyPkQA Research group: RF & Microwave Application Deadline: June 30, 2025 Inside campus hostel and mess facilities. Show more Show less
About IIT Tirupati The Indian Institute of Technology Tirupati (IIT Tirupati) was established under the Institutes of Technology Act, 1961. Located on Yerpedu-Venkatagiri Road, Yerpedu Post, Tirupati District, it is the first institute of the third phase of Indian Institutes of Technology, following its announcement in 2014 and foundation stone laying in March 2015. Since its inception, IIT Tirupati has steadily developed as a premier institute dedicated to higher education and research in engineering and technology. IIT Tirupati currently offers a comprehensive range of academic programs, including Bachelor of Technology (B.Tech), Master of Technology (M.Tech), Master of Science (M.Sc), Master of Public Policy (MPP), Master of Science (Research), and Doctor of Philosophy (Ph.D.). The institute is organized into nine departments, encompassing Chemical Engineering, Chemistry, Civil & Environmental Engineering, Computer Science & Engineering, Electrical Engineering, Humanities & Social Sciences, Mathematics & Statistics, Mechanical Engineering, and Physics. About the Department of Mathematics and Statistics The Department of Mathematics and Statistics at IIT Tirupati, established in August 2019, offers mathematical, statistical, and computing courses for all engineering disciplines of IIT Tirupati at the Undergraduate, Postgraduate, and Research levels. These courses are carefully designed to build strong analytical and quantitative skills essential for modern engineering challenges. The Department has young, energetic, dynamic, and committed faculty members with teaching and research experience from academia and industry in various topics of Mathematics and Statistics. Our faculty members have expertise in analysis, algebra, number theory, linear algebra, ill-posed problems, scientific computing, differential equations, numerical analysis, numerical linear algebra, high-performance computing, statistical finance, statistical signal processing, environmental statistics, machine learning, design of experiments, statistical inference, nonparametric statistics, time series, and generalized linear models. The Department currently offers M. Sc (Mathematics and Statistics), M.Sc (Mathematics), and PhD programmes, providing students with diverse pathways to specialize in pure mathematics, applied mathematics, statistics, and computational sciences. The Department is active in research areas of pure and applied mathematics, industrial mathematics and statistics, machine learning, and data sciences. Role Description This is a full-time, on-site role for a Ph.D. candidate in Numerical Partial Differential Equations (PDEs) located in Tirupati. The candidate will focus on advancing computational and mathematical techniques for solving PDEs, with potential applications in physics, engineering, environmental modeling, and data-driven scientific computing. Responsibilities include: Developing and analyzing numerical algorithms for PDEs Implementing computational methods using high-performance computing (HPC) platforms (e.g., GPU/parallel computing) Conducting theoretical and applied research to contribute original knowledge in numerical analysis and PDE modeling Presenting work at academic conferences and publishing in peer-reviewed journals Collaborating with faculty and peers across interdisciplinary projects Serving as a teaching assistant for undergraduate and postgraduate mathematics courses Qualifications Strong background in Numerical Analysis, Applied Mathematics, and Differential Equations Proficiency in programming languages/tools (e.g., C++, Python, Julia, or MATLAB) for scientific computing Familiarity with finite element/finite difference for PDEs Experience or strong interest in computational PDEs, HPC, or Scientific Machine Learning Advanced research skills, including mathematical modeling and computational experimentation Excellent written and verbal communication skills Master’s degree in Mathematics, Applied Mathematics, Computational Science, or a related field Self-motivated with the ability to work independently and collaboratively Please apply through https://iittp.plumerp.co.in/prod/iittirupati/phdapplication
Role Overview: You will be joining as a full-time, on-site Ph.D. candidate specializing in Numerical Partial Differential Equations (PDEs) at IIT Tirupati. Your main focus will be on advancing computational and mathematical techniques for solving PDEs, with possible applications in physics, engineering, environmental modeling, and data-driven scientific computing. Key Responsibilities: - Developing and analyzing numerical algorithms for PDEs - Implementing computational methods using high-performance computing (HPC) platforms such as GPU/parallel computing - Conducting theoretical and applied research to contribute original knowledge in numerical analysis and PDE modeling - Presenting work at academic conferences and publishing in peer-reviewed journals - Collaborating with faculty and peers on interdisciplinary projects - Serving as a teaching assistant for undergraduate and postgraduate mathematics courses Qualification Required: - Strong background in Numerical Analysis, Applied Mathematics, and Differential Equations - Proficiency in programming languages/tools like C++, Python, Julia, or MATLAB for scientific computing - Familiarity with finite element/finite difference for PDEs - Experience or strong interest in computational PDEs, HPC, or Scientific Machine Learning - Advanced research skills, including mathematical modeling and computational experimentation - Excellent written and verbal communication skills - Masters degree in Mathematics, Applied Mathematics, Computational Science, or a related field - Self-motivated with the ability to work independently and collaboratively,
About IIT Tirupati The Indian Institute of Technology Tirupati (IIT Tirupati) was established under the Institutes of Technology Act, 1961. Located on Yerpedu-Venkatagiri Road, Yerpedu Post, Tirupati District, it is the first institute of the third phase of Indian Institutes of Technology, following its announcement in 2014 and foundation stone laying in March 2015. Since its inception, IIT Tirupati has steadily developed as a premier institute dedicated to higher education and research in engineering and technology. IIT Tirupati currently offers a comprehensive range of academic programs, including Bachelor of Technology (B.Tech), Master of Technology (M.Tech), Master of Science (M.Sc), Master of Public Policy (MPP), Master of Science (Research), and Doctor of Philosophy (Ph.D.). The institute is organized into nine departments, encompassing Chemical Engineering, Chemistry, Civil & Environmental Engineering, Computer Science & Engineering, Electrical Engineering, Humanities & Social Sciences, Mathematics & Statistics, Mechanical Engineering, and Physics. About the Department of Mathematics and Statistics The Department of Mathematics and Statistics at IIT Tirupati, established in August 2019, offers mathematical, statistical, and computing courses for all engineering disciplines of IIT Tirupati at the Undergraduate, Postgraduate, and Research levels. These courses are carefully designed to build strong analytical and quantitative skills essential for modern engineering challenges. The Department has young, energetic, dynamic, and committed faculty members with teaching and research experience from academia and industry in various topics of Mathematics and Statistics. Our faculty members have expertise in analysis, algebra, number theory, linear algebra, ill-posed problems, scientific computing, differential equations, numerical analysis, numerical linear algebra, high-performance computing, statistical finance, statistical signal processing, environmental statistics, machine learning, design of experiments, statistical inference, nonparametric statistics, time series, and generalized linear models. The Department currently offers M. Sc (Mathematics and Statistics), M.Sc (Mathematics), and PhD programmes,providing students with diverse pathways to specialize in pure mathematics, applied mathematics, statistics, and computational sciences. The Department is active in research areas of pure and applied mathematics, industrial mathematics and statistics, machine learning, and data sciences. Role Description This is a full-time, on-site role for a Ph.D. candidate in Numerical Partial Differential Equations (PDEs) located in Tirupati. The candidate will focus on advancing computational and mathematical techniques for solving PDEs, with potential applications in physics, engineering, environmental modeling, and data-driven scientific computing. Responsibilities include: Developing and analyzing numerical algorithms for PDEs Implementing computational methods using high-performance computing (HPC) platforms (e.g., GPU/parallel computing) Conducting theoretical and applied research to contribute original knowledge in numerical analysis and PDE modeling Presenting work at academic conferences and publishing in peer-reviewed journals Collaborating with faculty and peers across interdisciplinary projects Serving as a teaching assistant for undergraduate and postgraduate mathematics courses Qualifications Strong background in Numerical Analysis, Applied Mathematics, and Differential Equations Proficiency in programming languages/tools (e.g., C++, Python, Julia, or MATLAB) for scientific computing Familiarity with finite element/finite difference for PDEs Experience or strong interest in computational PDEs, HPC, or Scientific Machine Learning Advanced research skills, including mathematical modeling and computational experimentation Excellent written and verbal communication skills Master's degree in Mathematics, Applied Mathematics, Computational Science, or a related field Self-motivated with the ability to work independently and collaboratively Please apply through https://iittp.plumerp.co.in/prod/iittirupati/phdapplication