Job Description
Roles & Responsibilities :
For this profile, the focus is set on modeling interfacial reactions which is of great importance for proper long term functioning of products in electromobility and regenerative energy tech.
You'll derive and implement strategies for cross-scale description of the interaction of multi-phase fluids and metals with a focus on electrochemistry and fluid dynamics.
You will develop and apply 2D / 3D multi-physics models using numerical simulations along with the requisite scripting and programming.
For certain modelling tasks you'll combine physics-based models with data-based approaches for efficiency and accuracy gains.
You'll parameterize and validate models with available data using multivariate statistics.
You will work in international teams and perform necessary development / implementation tasks to accomplish the research goals.
Publish research findings in reputable journals and conferences.
Qualifications
Educational qualification :
MS / M.Tech, PhD from top Indian institutes (IITs, NITs, IISc etc.) or from top international institutes in Chemical, Mechanical, Aerospace, or any other Engineering, Science or Interdisciplinary streams where the candidate has gained demonstrable required skills detailed hereunder with good academic track record and research publications related to :
Computational Science or Engineering where the required skills have been clearly leveraged
Experience : 3+
Mandatory / required Skills :
Experienced in the field of modeling of electrochemical / corrosion phenomena at interfaces
Sound knowledge in multi-physics simulation as well as computational fluid dynamics (CFD), preferably with OpenFOAM and / or COMSOL
Good knowledge of Ordinary and Partial Differential equations
Sound knowledge of numerical methods in engineering viz Finite element, Finite Volume and Finite difference methods
Sound understanding of Linear algebra
Excellent coding skills in Python and C++ including version control (e.g. Git), software testing, linting
Competent in handling of statistical data analysis and application of machine learning techniques, preferably with Python (ideally PyTorch) and C++
Enthusiastic and curious to work for a cross-domain task with high complexity
Excellent communication and presentation skills
Preferred Skills :
Experience with simulation tools : MATLAB and Simulink and Ansys will be an added advantage.
Familiarity with high performance computing will be an added advantage.
Knowledge of homogenization and model order reduction methods would be an added advantage
Knowledge of LLMs and usage of Gen AI tools, assists and copilots would be an added advantage
Skills Required
Software Testing, Ansys, linear algebra, Matlab, comsol, openfoam, statistical data analysis , Pytorch, Python, Simulink, partial differential equations
Researcher • India