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Researcher: Uncertainty Quantification & Surrogate Modelling

Bosch Group

Researcher: Uncertainty Quantification & Surrogate Modelling

full-timePosted: Jan 17, 2026

Job Description

Description

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 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

Additional Info

Company Description

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.

Locations

  • no.123 industrial layout hosur road koramangala,, bengaluru, India

Salary

Estimated Salary Rangemedium confidence

60,000 - 100,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Pythonintermediate
  • C/C++intermediate
  • Uncertainty Quantificationintermediate
  • AI/MLintermediate
  • System identificationintermediate
  • ODE/PDE numerical methodsintermediate

Required Qualifications

  • PhD from top institutes (IITs, IISc, etc.) in Applied Math, Stats, Comp Engg, etc. (experience)
  • Research publications in UQ/AI/ML (experience)

Responsibilities

  • Model parameter uncertainties for control systems
  • Analyze and enrich system models with UQ, AI/ML, surrogate modeling
  • Implement via scripting/programming
  • Enable distributed deployments
  • Work in international teams
  • Publish research

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Bosch Group logo

Researcher: Uncertainty Quantification & Surrogate Modelling

Bosch Group

Researcher: Uncertainty Quantification & Surrogate Modelling

full-timePosted: Jan 17, 2026

Job Description

Description

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 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

Additional Info

Company Description

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.

Locations

  • no.123 industrial layout hosur road koramangala,, bengaluru, India

Salary

Estimated Salary Rangemedium confidence

60,000 - 100,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Pythonintermediate
  • C/C++intermediate
  • Uncertainty Quantificationintermediate
  • AI/MLintermediate
  • System identificationintermediate
  • ODE/PDE numerical methodsintermediate

Required Qualifications

  • PhD from top institutes (IITs, IISc, etc.) in Applied Math, Stats, Comp Engg, etc. (experience)
  • Research publications in UQ/AI/ML (experience)

Responsibilities

  • Model parameter uncertainties for control systems
  • Analyze and enrich system models with UQ, AI/ML, surrogate modeling
  • Implement via scripting/programming
  • Enable distributed deployments
  • Work in international teams
  • Publish research

Target Your Resume for "Researcher: Uncertainty Quantification & Surrogate Modelling" , Bosch Group

Get personalized recommendations to optimize your resume specifically for Researcher: Uncertainty Quantification & Surrogate Modelling. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Researcher: Uncertainty Quantification & Surrogate Modelling" , Bosch Group

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Answer 10 quick questions to check your fit for Researcher: Uncertainty Quantification & Surrogate Modelling @ Bosch Group.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.