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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 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

Additional Info

Company Description

 

At Bosch Research, research meets application. Around 1,700 experts around the world develop the technologies of tomorrow and beyond. The world in which we live is changing rapidly. Global megatrends such as climate change and digitalization influence virtually every area of day-to-day life. One thing that doesn’t change is Bosch’s mission to create technology that is “Invented for life” in other words using technological innovations to improve people’s quality of life and using natural resources responsibly. Bosch Research sees itself as the spearhead of innovation at Bosch: Our researchers are involved in around a quarter of the patent applications filed by Bosch. On the one hand, we help all Bosch divisions to develop the next generation of products or the generation after that. On the other hand, we look far into the future: with our partners in science and industry, we identify technologies and trends which will shape our lives in the future and make them usable for the entire company. As a global team with around 1,700 experts from all over the world, we cover a wide range of areas with our research. Whether it be automation, digitalization and connectivity, artificial intelligence (AI), generative artificial intelligence (Gen AI), electrification, climate action and sustainability or healthcare: Bosch Research combines top-level research with specific technological developments.

For more information visit: https://www.bosch.com/research/

The Research and Technology Center at Bangalore focuses on research in real-time connected mobility, computational engineering, hybrid modelling (system modelling using a combination of physics and AI/ML), time series analysis, natural language processing, computer vision, Gen AI applications, numerical methods, embedded real time systems. We pursue research and development by working with top-tier universities worldwide and our corporate partners.

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
  • Machine Learningintermediate
  • System Identificationintermediate
  • Dynamical Systemsintermediate
  • Linear Algebraintermediate

Required Qualifications

  • PhD from top institutes (IITs, IIITs, IISc or international equivalents) (experience)
  • Research publications in Uncertainty Quantification, Applied Mathematics, AI/ML (experience)

Responsibilities

  • Model parameter uncertainties for control systems
  • Analyze and enrich system models using UQ, AI/ML, surrogate modelling
  • Implement via scripting and programming
  • Enable Bosch products for distributed deployments
  • Work in international multi-disciplinary teams
  • Publish research in journals and conferences

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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 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

Additional Info

Company Description

 

At Bosch Research, research meets application. Around 1,700 experts around the world develop the technologies of tomorrow and beyond. The world in which we live is changing rapidly. Global megatrends such as climate change and digitalization influence virtually every area of day-to-day life. One thing that doesn’t change is Bosch’s mission to create technology that is “Invented for life” in other words using technological innovations to improve people’s quality of life and using natural resources responsibly. Bosch Research sees itself as the spearhead of innovation at Bosch: Our researchers are involved in around a quarter of the patent applications filed by Bosch. On the one hand, we help all Bosch divisions to develop the next generation of products or the generation after that. On the other hand, we look far into the future: with our partners in science and industry, we identify technologies and trends which will shape our lives in the future and make them usable for the entire company. As a global team with around 1,700 experts from all over the world, we cover a wide range of areas with our research. Whether it be automation, digitalization and connectivity, artificial intelligence (AI), generative artificial intelligence (Gen AI), electrification, climate action and sustainability or healthcare: Bosch Research combines top-level research with specific technological developments.

For more information visit: https://www.bosch.com/research/

The Research and Technology Center at Bangalore focuses on research in real-time connected mobility, computational engineering, hybrid modelling (system modelling using a combination of physics and AI/ML), time series analysis, natural language processing, computer vision, Gen AI applications, numerical methods, embedded real time systems. We pursue research and development by working with top-tier universities worldwide and our corporate partners.

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
  • Machine Learningintermediate
  • System Identificationintermediate
  • Dynamical Systemsintermediate
  • Linear Algebraintermediate

Required Qualifications

  • PhD from top institutes (IITs, IIITs, IISc or international equivalents) (experience)
  • Research publications in Uncertainty Quantification, Applied Mathematics, AI/ML (experience)

Responsibilities

  • Model parameter uncertainties for control systems
  • Analyze and enrich system models using UQ, AI/ML, surrogate modelling
  • Implement via scripting and programming
  • Enable Bosch products for distributed deployments
  • Work in international multi-disciplinary teams
  • Publish research in journals and conferences

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.