IITKGP
Applications are sought for PhD students in Computational Materials Science and Probabilistic Mechanics. Please email your resume! Computational Materials Science: Candidates must have a Bachelor’s/Master’s degree in Civil/ Mechanical/ Aerospace/ Metallurgical Engineering or in Physics/ Materials Science. Excellent knowledge in mechanics and Finite Element modeling, along with reasonable knowledge in Materials Science and/or Composite Materials, is required. Excellent computer programming skills is essential. Familiarity with materials testing methods and a good publishing record will be given preference. Probabilistic Mechanics Candidates must have a Bachelor’s/Master’s degree in Civil/ Mechanical/ Aerospace/ Engineering or in Mathematics/Statistics. Excellent knowledge in Reliability, along with reasonable knowledge in Mechanics and/or Structural Engineering, is required. Excellent computer programming skills is essential. Familiarity with the nuclear power industry and a good publishing record will be given preference. | Applications are sought for PhD students in Computational Materials Science and Probabilistic Mechanics. Please email your resume! Computational Materials Science: Candidates must have a Bachelor’s/Master’s degree in Civil/ Mechanical/ Aerospace/ Metallurgical Engineering or in Physics/ Materials Science. Excellent knowledge in mechanics and Finite Element modeling, along with reasonable knowledge in Materials Science and/or Composite Materials, is required. Excellent computer programming skills is essential. Familiarity with materials testing methods and a good publishing record will be given preference. Probabilistic Mechanics Candidates must have a Bachelor’s/Master’s degree in Civil/ Mechanical/ Aerospace/ Engineering or in Mathematics/Statistics. Excellent knowledge in Reliability, along with reasonable knowledge in Mechanics and/or Structural Engineering, is required. Excellent computer programming skills is essential. Familiarity with the nuclear power industry and a good publishing record will be given preference. | Applications are sought for PhD students in Computational Materials Science and Probabilistic Mechanics. Please email your resume! Computational Materials Science: Candidates must have a Bachelor’s/Master’s degree in Civil/ Mechanical/ Aerospace/ Metallurgical Engineering or in Physics/ Materials Science. Excellent knowledge in mechanics and Finite Element modeling, along with reasonable knowledge in Materials Science and/or Composite Materials, is required. Excellent computer programming skills is essential. Familiarity with materials testing methods and a good publishing record will be given preference. Probabilistic Mechanics Candidates must have a Bachelor’s/Master’s degree in Civil/ Mechanical/ Aerospace/ Engineering or in Mathematics/Statistics. Excellent knowledge in Reliability, along with reasonable knowledge in Mechanics and/or Structural Engineering, is required. Excellent computer programming skills is essential. Familiarity with the nuclear power industry and a good publishing record will be given preference. |

Research Areas

Nanomechanics – Role of defects and fluctuations; Elastic properties; Molecular dynamics algorithms; Structure-property optimization; Dissipation and fluctuation theorems

Probabilistic mechanics – Damage and fracture mechanics; Statistical modeling of random load/environmental processes; Structural reliability; Probability based design and acceptance criteria
  • An appraisal of the LQI as an approach to setting target reliabilities in ISO 2394:2015 by Bhattacharya B. Structural Safety 109 102482- (2024)
  • Effect of randomly occurring Stone-Wales defects on mechanical properties of carbon nanotubes using atomistic simulation by Lu Q. and Bhattacharya B. Nanotechnology, Institute of Physics vol. 16, no. 4 555-566 (2005)
  • A nested hierarchy of second order upper bounds on system failure probability by Ghosh S., Bhattacharya B. Probabilistic Engineering Mechanics 70 - (2022)
  • A reliability based measure of structural robustness for coherent systems by Bhattacharya B. Structural Safety 89 - (2021)
  • Heat pump without particle transport or external work on the medium achieved by differential thermostatting of the phase space by Patra P. and Bhattacharya B. Physical Review E vol. 93, no. 3 - (2016)
  • Phonon scattering dynamics of thermophoretic motion in carbon nanotube oscillators by Prasad MVD and Bhattacharya B. Nano Letters 16 (4), pp 2174-2180. - (2016)
  • A deterministic thermostat for controlling temperature using all degrees of freedom by Patra P. and Bhattacharya B. Journal of Chemical Physics, AIP vol. 140 - (2014)
  • A Fast Parallel Gauss Jordan Algorithm for Matrix Inversion using CUDA by Sharma G., Agarwala A., and Bhattacharya B. Computers & Structures, Elsevier vol. 128 31-37 (2013)
  • The Extremal Index and the Maximum of a Dependent Stationary Pulse Load Process Observed above a High Threshold by Bhattacharya, B. Structural Safety, Elsevier vol. 30, no. 1 34 - 48 (2008)
  • Co-Principal Investigator

Ph. D. Students

Minangshu Baidya

Area of Research: Computational Probabilistic Mechanics