Researcher – Smart Grids and Energy Optimization

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 for embedded real time systems, and hybrid modelling (Scientific Machine Learning - SciML).  We pursue research and development by working with top-tier universities worldwide and our corporate partners.

• Collaborate with team members to conduct research and advance state-of-the-art methods in integration of electric vehicles (EVs) and flexible loads with the grid and energy optimization.
• Design, develop, and implement advanced real-time modeling and optimization algorithms for energy management and EV integration into larger utility grid and behind-the meter use cases for buildings and homes.
• Design, develop, and implement learning and prediction algorithms to predict energy consumption of buildings.
• Evaluate grid impacts of EV charging and develop new smart charging solutions.
• Collaborate with stakeholders from business units to identify potential use cases and ensure practical utilization of research outcomes and product-technology fit.
• Publish research findings in reputable journals and conferences.

Requirements

• Good track record of research publications in reputable journals and conferences
• Excellent coding skills (e.g., Python, MATLAB) along with practical experience in version control, software testing, and linting
• Hands-on experience in commonly used simulation tools in system modelling and simulation
• Strong knowledge in algorithm development and optimization methods (discrete and continuous)
• Excellent understanding of smart grids, electric vehicle fundamentals and charging protocols
• Experience with handling big data and big data analytics
• Profound problem-solving skills and ability to work both independently and collaboratively in a research team environment.
• Excellent presentation and communication skills

Additionally, the following would be desirable and an added advantage:

• Prior experience with cloud and edge computing
• Prior work experience in corporate research setting or academic research before or after Ph.D.
• Solid understanding of software development fundamentals and hands-on experience in software development technology stack

Ph.D. in Engineering (preferably Electrical, Mechanical, or Computer Science) from top Indian institutes (IITs, IIITs, IISc etc.) or from top international institutes

3+ years