Sr.Scientist-Solid Mechanics

Key Responsibilities:

• Develop, validate, and apply numerical models to solve problems related to dynamic impact, nonlinear FEA, fracture mechanics, and applied mechanics.
• Collaborate with cross-functional teams, including experimentalists, researchers, scientists, and project leaders located globally, to address research and development challenges.
• Create models using appropriate numerical methods and software and expand modeling capabilities as required.
• Translate real-world problems into solvable modeling objectives and provide actionable insights.
• Communicate and present project updates to stakeholders across global locations.
• Document results and findings via internal reports and external publications.
• Stay at technological forefront in modeling, simulation, and applied mechanics.

Required Skills:

• Strong background in

  solid mechanics

  and

  Finite Element Analysis (FEA)

  with a deep understanding of solid mechanics concepts and theory.
• Hands-on experience with commercial FEA software, including (but not limited to)

  ABAQUS, LS-DYNA, ANSYS Mechanical, MATLAB,

  and

  Tecplot

  .
• Expertise in modeling dynamic impact problems, material nonlinearities, and fracture mechanics.
• Proficiency in programming languages such as C/C++, Unix, Shell, and Python.
• Strong analytical, diagnostic, and problem-solving skills.
• Ability to break down complex real-world problems into solvable modeling objectives.
• Versatility in adapting to various technology areas; a balanced combination of technical depth and breadth.
• Self-motivated with a long-term interest in technical growth.

Desired Skills:

• Experience with

  open-source FEA software frameworks

  , such as

  MOOSE or FEniCS

  , is ana dded advantage
• Exposure to

  Artificial Intelligence (AI), Machine Learning (ML), and Data Analytics

  techniques particularly as applied to modeling, simulation, or materials science.
• Familiarity with

  statistical methods, machine learning frameworks

  (e.g., TensorFlow, PyTorch),

  ordata visualization tools

  .
• Experience working in an

  industrial R&D environment

  .
• Knowledge of

  data-driven modeling, optimization, or predictive analytics

  .
• Flexibility to thrive in a dynamic work environment and adapt to changing priorities.
• Ability to integrate physics-based models with data-driven approaches to enhance predictive capabilities.

Soft Skills:

• Highly collaborative and capable of fostering open engagement with colleagues to achieve project goals.
• Strong technical curiosity with a desire to continually learn and grow in diverse technology areas.
• Ability to translate complex technical concepts into simplified explanations for broader audiences.
• Self-driven with a proven ability to manage independent workstreams.
• Effective communication skills for remote collaboration with global teams via phone and video calls.

Education and Experience:

• PhD, Master s, or Dual Degree

  in Mechanical Engineering, Civil Engineering or Materials Science with an emphasis on solid mechanics and Finite Element Analysis from IITs, IISc, or reputed foreign universities
• Candidates with

  more than 4 years of relevant work experience

  post-Masters/Dual Degree or

  more than 2 year of experience

  post-PhD are welcome to apply.