Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 27,000+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.

Roles & Responsibilities :

The focus of this role is set on Uncertainty Quantification (UQ) for model-based system design

You’ll have to model parameter uncertainties in order to guarantee best performance under all operating conditions for modern control system applications on distributed compute architectures.

You’ll have to analyze and enrich complex system models using uncertainty quantification techniques, AI/ML and surrogate modelling methods and implement everything via the necessary scripting and programming.

You’ll enable Bosch products to leverage new distributed deployments while meeting the requirements.

You’ll be working in international, multi-disciplinary teams and perform necessary tasks to accomplish the project goals.

You’ll publish research findings in reputable journals and conferences.

Educational qualification:

PhD from top Indian institutes (IITs, IIITs, IISc etc.) or from top international institutes with good track record of research publications related to:

- Applied Mathematics, Statistics, Computational Engg, Aerospace Engg, Computer Science or any other branch where the candidate has deep expertise in Uncertainty Quantification, Applied Mathematics and AI/ML techniques.

Mandatory/requires Skills :

Excellent programming skills in python, C, C++

Excellent knowledge of uncertainty quantification

Expertise in AI such as machine learning / tabular foundation models / deep learning

Expertise in system identification

Sound fundamentals of dynamic system

Sound fundamentals of ODEs, PDEs and numerical methods for solving them for various engineering problems

Sound fundamentals of Linear algebra

Excellent presentation and communication skills

Preferred Skills :
 

Working knowledge on control systems and engineering will be an added advantage

Experience in modern distributed systems architectures e.g. cloud/edge/E/E-architecture will be an added advantage

Experience with simulation tools: MATLAB, Simulink and AMESim will be added advantage.

Experience in agile working environment preferably Scrum Master certification will be an added advantage