Researcher: Uncertainty Quantification & Surrogate Modelling

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.

Qualifications

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 dynamical 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