Research Engineer: Modelling and Simulation for Distributed Systems

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 mega 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 Time series analysis, Natural language processing, Computer vision, Numerical methods, Embedded real time systems, Control of real-time distributed systems and Hybrid modelling (Scientific Machine Learning -SciML). We pursue research and development by working with top-tier universities worldwide and our corporate partners.

The focus is set on developing advanced algorithms and strategies for control of real-time distributed systems. In this role you’ll leverage your expertise in numerical methods, simulation, Machine learning & Artificial Intelligence to model and simulate real-time distributed applications connecting multiple embedded, edge and cloud devices and synthesize control functions for them.

• Build physics or AI/ML based surrogate models for the distributed systems of interest and quantify and propagate parameter and timing uncertainties through the system in simulation
• Synthesize control functions with good quality of control that are tolerant of delays and other parameter uncertainties, using physics based or AI/ML based techniques as per requirements 
• You’ll work in international teams and perform necessary research, development/implementation to accomplish the tasks. 
• Further Publish research findings in reputable journals and conferences. 

Minimum MS/M.Tech from top Indian institutes (IITs, IIITs, IISc etc.) in the field of Electronics and Communication Engg, Electrical Engg, Mechanical Engg, Mechatronics Engg, AeroSpace Engg, Computer Science Engg, from top international institutes with good academic track record.

Required skills:

• Solid engineering background with proficiency in Mathematics.
• Good knowledge Ordinary and Partial Differential equations.
• Sound knowledge of numerical methods for modelling and simulation.
• Sound understanding of Linear algebra, Matrix theory.
• Knowledge of control theory
• Excellent programming skills in python.
• Excellent presentation and communication skills.

Preferable skills:

• Experience with simulation tools: Matlab, Simulink,
• Programming skills of C,C++ will be an added advantage.
• Knowledge of modern control theory will be an added advantage
• Familiarity with high performance computing will be an added advantage.

3+ years