Researcher Multiphysics AI

, India Job Family Group: Research and Development Worker Type: Regular Posting Start Date: July 22, 2026 Business Unit: Projects and Technology Experience Level: Experienced Professionals Job Description: What’s the role? The Multiphysics AI & Product Innovation team develops and applies advanced Scientific Machine Learning, Computational Physics & Chemistry, and AI‑accelerated engineering methods to solve complex & high‑impact industrial challenges across Shell businesses.

In this role, you will act as a Scientific Machine Learning specialist and Technical Integrator, developing and deploying physics‑guided 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, high‑impact 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 hands‑on experienced individual contributor role designed for someone who thrives at the intersection of deep science, engineering insight, and AI‑driven acceleration; with a strong commercial mindset and a passion for driving practical, scalable innovation.

What you’ll be doing? Design and develop Scientific ML and physics‑guided AI methods for Multiphysics and engineering applications, including Physics‑informed and physics‑constrained learning, Hybrid modelling (first‑principles solvers + data‑driven models), Reduced‑order models, neural surrogates, and emulators, Operator learning, graph‑based models, and uncertainty‑aware ML Owning and guiding algorithmic decisions on when to apply PINNs, neural operators, surrogates, classical ML, or simulation‑centric approaches.

Work with asset/LOB domain experts to understand asset behaviour, operating constraints, uncertainties, and failure modes. Translate loosely defined engineering challenges into well‑posed 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 AI‑accelerated simulation, including Reduced‑order modelling and emulation.

Performance optimization for large‑scale or time‑critical 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 long‑term 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 hands‑on experience with Scientific ML techniques such as Physics‑informed and hybrid learning, Neural operators, surrogate modelling, or graph‑based 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 asset‑intensive industries (e.g., aerospace, automotive, manufacturing, semiconductors) is also relevant.

Strong problem‑solving 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, research‑to‑deployment environments Experience in scientific computing platforms and cloud‑based 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.

You’ll have the opportunity to develop the skills you need to grow in an environment where we value honesty, integrity, and respect for one another. You’ll 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. We'd like you to know that Shell has a bold goal: to become one of the world’s most diverse and inclusive companies.

You can get to know more about how we're 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. - Shell in India Shell is a diversified energy company in India with 13,000 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 50,000 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 India’s growing demand for gas across sectors.

In 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, d.light, Orb Energy, and Cleantech Solar.

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