Researcher: Numerical Methods and Algorithms for Modelling and Simulations

Job Description

Roles & Responsibilities :

For this profile, the focus is set on numerical modeling and simulations for Multiphysics problems which are of great importance for proper long-term functioning of Bosch products.

• At a top level the focus of this role would be towards implementing numerical methods for multi-phase and multiscale simulations in the direction of fluid or solid dynamics. Hence excellent programming skills with python is a must. Further the candidate should have experience of working with git and have clarity on

• You will need to leverage your profound knowledge of numerical methods and algorithms for solving PDEs to solve 2D/3D multi-physics models using numerical techniques along with the requisite scripting and programming in python.

• You’ll parameterize and validate models with available data using optimization methods and multivariate statistics.

• For certain modelling tasks you’ll combine physics-based models with data-based approaches for efficiency and accuracy gains. This is not the focus of this role, but good to have skill and might me sparingly useful. So if your primary wish is to solve problems using PINNs this might not be the right role.

• You will work in international teams and perform necessary development / implementation tasks to accomplish the research goals.

Qualifications

Educational qualification:

MS/M. Tech, PhD from top Indian institutes (IITs, IISc etc.) or from top international institutes in Applied Mathematics, Mechanical Engg, Aerospace Engg, Engineering Physics or any other streams where the candidate has gained demonstrable knowledge of Numerical Methods and algorithms and it’s application for solving PDEs.

Experience :

3+

Mandatory/requires Skills :

Profound knowledge and experience of advanced numerical techniques like Finite element, Finite Volume and Finite difference methods, Discontinuous Galerkin method, Meshless methods, Arbitrary Lagrangian Eulerian methods for moving meshes.

• The list is non-exhaustive, the more methods and techniques one knows in depth the better. This is a non-negotiable skill. If your skill is all about modelling and coming up with the equations describing a system but the subsequent simulation using numerical methods is a secondary focus, this is not the right role for you. If you know only to use numerical methods via simulation tools like ANSYS, ABAQUs, COMSOL, OpenFOAM etc. and don’t have in depth knowledge of the theory behind the methods this is not a right role for you.

• Excellent coding skills in Python and C++ including version control (e.g. Git), software testing, linting is non -negotiable. We prefer candidates who has experience in writing codes for solvers and numerical simulations from scratch, rather than those who primarily have used commercial or open source solvers and have used python only for pre and post processing. You need to know concepts like object oriented programming using python in depth.

•

Experience in the field of modeling and simulations for Multiphysics phenomena

• Knowledge of Partial Differential equations and Linear Algebra

• Knowledge and experience in Optimization methods

• Excellent communication and presentation skills

Preferred Skills :

Some working knowledge in CI/CD pipelines and basics of software development is helpful but not mandatory. If the mandatory skills are missing this won’t help for the role.