Researcher - Energy Systems Modeling
3 days ago
**The Role**:
Passionate about multi-scale and multi-physics modeling, AI and digital innovation? Curious how to enable Shell’s Strategy to Accelerate the Transition to a Net-Zero Energy Business by designing and optimising Shell’s current & future Assets and Processes through Process Systems Modeling and pushing the frontiers of Digital Innovation in Systems Modeling? This role covers all the above and much more. Join us to #makethefuture together.
**Where You Fit In?**
This position is within the Systems Modeling team, a part of Computational Science and Digital Innovation VP-ship in Shell’s global Projects and Technology organization. You will be part of the Systems modeling team in Bengaluru which is expected to grow over the coming few years. Systems Modeling capability is a key enabler in multiscale modeling in computational science and responsible for providing critical input towards design and optimizing of industrial systems, processes, and products. These are needed to make right R&D/Design, operational, tactical, and strategic decisions by modeling and optimizing the systems at appropriate scales (Device/sub-systems, unit operations/processes, plant level, energy systems etc.). You are going to be a key part of pushing the frontiers of digital innovation in Process systems modeling, integrating information from smaller scales with continuum-scale physics towards systems design and optimization.
**What is the Role?**
As a Researcher, Energy Systems Modeling, you will be a key player growing the niche capability of future Energy Systems to enable Shell’s ambition of powering progress together with low carbon energy options. You are expected to contribute significantly through
- development and use of Energy Systems Models for helping technology strategy and business development teams in Shell and for our external customer to create business roadmap, take various strategic decisions which include capital investment decisions for new energy assets, sizing of asset to meet power demand, technologies for power generation and storage, for future power-to-X value chains, assessing key trade-offs and breakthroughs
- creating systems level models at plant(s) level and investigate decarbonization choices and strategies for hard-to-abate sectors through broader understanding of industrial processes
- techno-economic analysis of renewable energy technologies that can include Carbon Capture, Utilization, Storage, H2, energy storage systems etc.
- demonstrating strong systems thinking mindset while working with customers and stakeholders to understand and visualize complex systems and value chain.
In this role, you will work as an individual contributor but would give immense opportunities to collaborate with various other R&D and engineering teams and businesses in Shell across the globe. A few of the opportunities would include H2, Offshore Wind, Electrification, E-mobility, electrification of large industrial assets, and with external customers to provide decarbonization solutions for hard to abate sectors including mining, marine, cement, manufacturing (steel, cement, aluminum etc.) and many more. This role reports to the Manager Systems modeling, located in Shell Technology Center Bengaluru.
Your further responsibilities include:
- You will be responsible for independently carrying out R&D/Asset support projects in systems modeling covering many of the above technical areas, develop in-house codes as needed, running of Shell proprietary codes and relevant commercial tools.
- Reporting of the technical results and insights through reports and presentations that is actionable for the customer and supporting the customer in implementation of the solution.
- Execution of R&D programs in the field of systems modeling including tracking progress against milestones and agreed deliverables.
- You will need to keep an eye and leverage external trends to bring in cutting edge digital innovation in this space.
- Carrying out all activities with safety as the priority (Goal Zero).
**What we need from you?**
We’re keen to hear from individuals with at least 5-6 years’ relevant research experience post Master’s or at least 2-3 years post PhD.
Furthermore, we would like to see the following skills and competencies:
- PhD or MS/M. Tech degree in Chemical/Mechanical/Energy science and engineering or similar discipline with a strong computational modeling background; specialization in energy systems modeling, renewable energy systems, simulation of microgrids, optimal control strategy, physics-based systems level design, and optimization.
- Knowledge of setting up complex problems in optimization (including MILP, NLP) framework and modeling of renewable energy systems is a must.
- Deep knowledge of engineering areas: renewable energy systems, heat and power systems, power flow modeling and optimization, etc. with skill level expertise.
- Relevant publications in Internationally reputed journal and C
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