IIT Mandi is accepting application for PhD program in 4 subjects in School of Basic Science

IIT Mandi is conducting PhD Admissions in the School of Basic Science for 4 subjects. These are- Physical Sciences, Chemical Sciences, Biological Sciences and Mathematics and Statistics. Engineers and Postgraduates can apply to the position.

The admissions began from April 13 and the last date for applying is May 5. Even if you are working you can apply for the PhD after submitting a NOC from your current employer. Applicants can apply via the link: http://oas.iitmandi.ac.in/External/Admission/Login.aspx

What are the requirements?

T0 apply for the course you will need the following:

- Master’s degree in Sciences with a good academic record with a valid GATE score or UGC or CSIR NET

OR

- Master’s degree in Engineering or Technology with a good academic record

OR

- BTech degree of any IIT with a minimum of CGPA of 8.0 on a 10.0 point scale or with a valid GATE Score

OR

- BTech or BE degree of any recognized University in India with a minimum CGPA of 8.0 on a 10.0 point scale. Or equivalent with valid GATE score

What are the subjects available at IIT Mandi PhD?

The four subjects are:

1. Physical sciences: Nanomaterials, Experimental Condensed Matter Physics, Computational magnetics and material informatics, X-ray spectroscopy, Low-Temperature Physics, Theoretical condensed matter physics, Atomic and Molecular Physics, Raman and Infrared Spectroscopy, Quantum Optics, Quantum Information and Nanophotonics, Optoelectronic properties of nanoscale materials and Bio-molecular simulation/ Statistical Physics of complex systems.

2. Chemical Sciences: Materials Chemistry, X-ray Science, Organic Chemistry, Chemistry of Nanomaterials, Inorganic/ Materials/ NanoChemistry, Polymer Chemistry, Functional polymers and Nanomaterials, Smart Materials, Biodegradable Polymers, Biomaterials, Physical Chemistry, Computational Chemistry and Catalysis, Theoretical Chemistry, Design and development of new functional Nanomaterials for the application of renewable energy and Nano-electronics and sensor.

3. Biological Sciences: Nanobiotechnology, Immunology/ Microbiology, Biophysics and protein folding, Intrinsically Disordered Proteins, T Cell Engineering, Protein Engineering, Metabolic Systems Biology (Fluxomics and metabolomics), Plant and microbial metabolism, NMR and GC-MS, Metabolic diseases, extracellular matrix, Proteomics, Bioinformatics, Systems Biology, Metagenomics,
Comparative Genomics, Protein Function and Structural analysis, Metabolic Syndrome, Obesity, Diabetes, Biochemistry and
Molecular Biology.

4. Mathematics and Statistics: Harmonic and Wavelet Analysis, Theoretical Partial Differential Equations, Computational Fluid Dynamics, Numerical Methods for PDEs, Differential Equations, Dynamical Systems, Nonlinear Dynamics, Optimization, Soft Computing, Machine Learning & its Application to Computational Finance, Operator Theory, Control Problem, Applied Functional Analysis, Statistics, data analysis, climate change, disease modelling.