Researcher Multiphysics AI

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Whats the role

The Multiphysics AI & Product Innovation team develops and applies advanced Scientific Machine Learning Computational Physics & Chemistry and AIaccelerated engineering methods to solve complex & highimpact industrial challenges across Shell this role you will act as a Scientific Machine Learning specialist and Technical Integrator developing and deploying physicsguided AI solutions on high-value complex Multiphysics problems. Your depth lies in AI algorithmic innovation complemented by a breadth of engineering judgment developed through close collaboration with domain experts and asset teams.

Rather than being embedded as a single domain specialist you will act as a technical integrator: understanding business needs well enough to select adapt and design the right scientific ML approaches for bespoke highimpact problems. You will engage with a diverse range of Shell businesses including Low Carbon Fuels Low Carbon Gas CCS and Upstream working on problems such as Multiphysics asset behaviour and degradation (e.g. corrosion electrochemical systems) Process and design optimization model acceleration and decision support operational monitoring and predictive insights for critical assets.

Your value lies in understanding both the business problems worth solving as well as where why & and under what operational constraints the Scientific ML algorithms work; and translating that understanding into robust deployable solutions.

This is a handson experienced individual contributor role designed for someone who thrives at the intersection of deep science engineering insight and AIdriven acceleration; with a strong commercial mindset and a passion for driving practical scalable innovation.

What youll be doing

• Design and develop Scientific ML and physicsguided AI methods for Multiphysics and engineering applications including Physicsinformed and physicsconstrained learning Hybrid modelling (firstprinciples solvers datadriven models) Reducedorder models neural surrogates and emulators Operator learning graphbased models and uncertaintyaware ML
• Owning and guiding algorithmic decisions on when to apply PINNs neural operators surrogates classical ML or simulationcentric approaches.
• Work with asset/LOB domain experts to understand asset behaviour operating constraints uncertainties and failure modes. Translate loosely defined engineering challenges into wellposed Scientific ML problems.
• Ensure developed models are credible validated against experimental simulated and operational data. Check for Robustness to sparse biased or imperfect measurements. Balance between accuracy physical consistency interpretability and computational efficiency
• Drive research and development in AIaccelerated simulation including Reducedorder modelling and emulation. Performance optimization for largescale or timecritical applications.
• Act as a technical authority for Scientific ML within assigned Multiphysics initiatives and programs contributing to shared standards and best practices.
• Model validation and credibility. Physics consistency and constraint handling
• Lifecycle management of Scientific ML models
• Stay current with advances in Scientific ML AI and computational science through external partners including leading academic research groups and industry collaborators (e.g. cloud and AI platform providers)
• Assess emerging methods for industrial relevance adapting them into practical defensible solutions.
• Contribute to internal IP publications patents and longterm AI capability building.

What we need from you

• PhD (or equivalent industry experience) in Applied Mathematics Computational Physics Computational Engineering or AI/Machine Learning.
• Deep handson experience with Scientific ML techniques such as Physicsinformed and hybrid learning Neural operators surrogate modelling or graphbased ML Uncertainty quantification Bayesian inference or probabilistic ML
• Strong programming and prototyping skills (e.g. Python and modern ML frameworks).
• Background in at least one major Multiphysics or engineering domain such as Computational Fluid Dynamics (CFD) Structural or thermal analysis Electrochemistry Materials modelling or discovery
• Demonstrated experience applying AI or Scientific ML to real complex systems not only synthetic benchmarks.
• Proven ability to work effectively with domain experts to navigate Incomplete physics Data limitations Operational and computational constraints
• Experience in other assetintensive industries (e.g. aerospace automotive manufacturing semiconductors) is also relevant.
• Strong problemsolving ability with a balance of independence and collaboration
• Excellent communication skills with the ability to explain complex technical topics to diverse audiences
• Comfortable working in multidisciplinary researchtodeployment environments
• Experience in scientific computing platforms and cloudbased workflows is desirable

What we offer

You bring your skills and experience to Shell and in return you work with talented committed people on one of the most important challenges facing our planet. Youll have the opportunity to develop the skills you need to grow in an environment where we value honesty integrity and respect for one another. Youll be able to balance your priorities as you become the best version of yourself.

• Progress as a person as we work on the energy transition together.
• Continuously grow the transferable skills you need to get ahead.
• Work at the forefront of technology trends and practices.
• Collaborate with experienced colleagues with unique expertise.
• Achieve your balance in a values-led culture that encourages you to be the best version of yourself.
• Benefit from flexible working hours and the possibility of remote/mobile working.
• Perform at your best with a competitive starting salary and annual performance related salary increase our pay and benefits packages are considered to be among the best in the world.
• Take advantage of paid parental leave including for non-birthing parents.
• Join an organisation working to become one of the most diverse and inclusive in the world. We strongly encourage applicants of all genders ages ethnicities cultures abilities sexual orientation and life experiences to apply.
• Grow as you progress through diverse career opportunities in national and
• international teams.
• Gain access to a wide range of training and development programmes.

Wed like you to know that Shell has a bold goal: to become one of the worlds most diverse and inclusive companies. You can get to know more about how were working towards that goal click here.

IMPORTANT NOTE: After you submit your application you will receive an email providing a link to an online assessment that is a mandatory part of the process. The email will come from HireVue - please check your spam/junk mailbox if you do not see the email. Once completed your application will be reviewed to determine next steps. Thank you for your interest in Shell.

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Shell in India

Shell is a diversified energy company in India with 13000 employees and presence in Integrated Gas Downstream Power Renewable and Upstream. Additionally we have deep capabilities in R&D digitalization and business operations.

Our global strategy Powering Progress is designed to generate value for our shareholders customers and the wider society and focuses on creating more value with less emissions. The strategy supports our purpose of providing more and cleaner energy solutions with the aim of profitably transforming Shell into a net-zero emissions energy business by 2050. As India moves towards its target of net-zero emissions by 2070 Shell India aims to play a leading role in securing vital energy for today while investing in and helping to build the energy system of the future through strategic investments in the country.

Our Lubricants business serves over 50000 consumers through a strong network of over 200 distributors and operates an end-to-end value chain that spans conceptualization development and production at a world-class blending plant at Taloja. Through our 350-plus retail stations we offer an integrated mobility experience including fuels cafes and convenience stores with a prominent network of EV recharging facilities.

Shell owns and operates an LNG re-gasification terminal at Hazira Surat with a capacity of 5 MTPA and an LNG truck-loading unit that plays a crucial role in helping meet Indias growing demand for gas across 2022 Shell acquired Spring Energy in a $1.55 billion deal to build an integrated energy transition business in the country. Spring is a leading renewable energy company in India which develops and manages solar wind and hybrid power generation facilities and infrastructure.

Our three capability centers across Bangalore and Chennai serve as a technology and innovation powerhouse for Shell globally working as a delivery engine for core technical digital and finance processes: pioneering digital innovation and cutting-edge technologies across the energy sector. We also have strong academic partnerships and collaborations with leading universities and technology institutes to accelerate decarbonization efforts within the energy sector.

We are committed to positively contributing to the communities in which we operate through programs on STEM Education Skilling and Livelihood across India. We nurture and invest in startups developing initiatives focused on accelerating energy innovation through programs such as Shell E4 and Shell Eco-marathon. We also have strategic investments in new energy companies such as Husk Power Orb Energy and Cleantech Solar.

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