AI/ML enhanced control engineering at Bosch Group

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

08 Jul, 26

Salary

0.0

Posted On

09 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Modern control theory, Lyapunov stability analysis, Optimal control, Adaptive control, Robust control, Deep learning, GPRs, Bagging and boosting methods, Surrogate modelling, Reduced order models, Python, MATLAB, Simulink, System of ODEs, Numerical methods, Systems thinking

Industry

Software Development

Description

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 trends 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), 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 Agentic AI, Gen AI, Natural language processing, Numerical methods, Embedded real time systems, Real-time distributed systems and AI/ML enhanced modelling & simulations. We pursue research and development by working with top-tier universities worldwide and our corporate partners. Job Description Roles & Responsibilities : As part of an interdisciplinary research team you will combine methods from artificial intelligence, control theory and computer science with the product portfolio of Bosch. Future dynamics systems need to adapt themselves and handle uncertainties during operation while safeguarding functionality. Join us in transforming complex challenges into real-world impact. • Addressing technical challenges: You will analyze, model, and simulate dynamic and uncertain systems and develop secure approaches for solving complex learning and control engineering problems. • Systematically develop solutions: You will use data-based methods to improve model-based control concepts and apply them to constrained linear, nonlinear, and distributed systems with parameter and structural uncertainties. • Support Transfer: You maintain close contact with the customer, take into account product-specific requirements, and prepare solution approaches and minimum viable software products in a target-group-oriented manner. • Bring new ideas into life: You continuously monitor and evaluate academic and industrial research and adapt new approaches to Bosch products. Qualifications Educational qualification: MS/MTech, PhD from top Indian institutes (IITs, IISc etc.) OR international institutes in the field of Electronics and Communication Engg, Electrical Engg, Mechanical Engg, Mechatronics Engg, Cybernetics, Aerospace Engg, Computer Science Engg, with good academic track record. Experience : 3+ years Mandatory/requires Skills : Sound knowledge of modern control theory is a must, with profound knowledge in concepts of Lyapunov stability analysis, optimal control (LQR/LQG), adaptive control, and robust control which are essential for handling unpredictable environments. Sound knowledge and hands on experience in AI/ML methods and tools: Deep learning, GPRs, Bagging & boosting methods, Surrogate modelling techniques, Reduced order models. Excellent programming skills in python. Experience with simulation tools: MATLAB, Simulink Sound understanding of theory of ODEs and system of ODEs and numerical methods to solve them. Adept at systems thinking, with a focus on holistic problem-solving and recognizing patterns in complex environments Excellent presentation and communication skills. Preferred Skills : Experience in C/C++ will be added advantage. Hands on knowledge in tabular foundational models, transformer architectures will be an added advantage knowledge of Linear algebra & Matrix theory. Familiarity with high performance computing will be added advantage. Legal Entity: Bosch Global Software Technologies Private Limited

Responsibilities

You will analyze, model, and simulate dynamic and uncertain systems while developing secure approaches for complex learning and control engineering problems. Additionally, you will systematically improve model-based control concepts and maintain close contact with customers to deliver viable software solutions.