Computational Materials Scientist
Bangalore, KA, IN
About us
At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world’s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for.
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ExxonMobil’s affiliates in India
ExxonMobil’s affiliates have offices in India in Bengaluru, Mumbai and the National Capital Region.
ExxonMobil’s affiliates in India supporting the Product Solutions business engage in the marketing, sales and distribution of performance as well as specialty products across chemicals and lubricants businesses. The India planning teams are also embedded with global business units for business planning and analytics.
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To know more about ExxonMobil in India, visit ExxonMobil India and the Energy Factor India.
What role you will play in our team
We are looking for candidates with an excellent research record and with educational competence within the fields of Computational Materials Science and Engineering or related areas to perform research on designing material structure, predicting material properties and behavior. The job will require the consideration of a broad range of applications where materials performance plays a critical role, e.g., materials stability, microstructures, and functional and mechanical behaviors of materials. This role requires experience in integrating and implementing various existing or novel modeling methods to bridge length and/or time scales (i.e., multiscale approach), enabling the simulation of complex materials under application conditions and investigate material structure-process-property-performance relationships. As such, the job role requires strong collaboration with experimentalists, and other modeling experts. Integrating physics-based and data-driven modeling capabilities with experimental data on a wide range of materials properties is another main technical task of this job.
What you will do
- You will use multiscale, multi-physics, and data-driven modeling capabilities and simulation approaches to derive structure-process-property-performance relationships to accelerate materials discovery and development for step-out performance. The successful candidate has experience in integrating traditional physics-based methods with data-driven methods (e.g., Machine Learning, Materials Informatics) to address these challenges allowing model-based in-silico design of materials.
- We also require subject matter expertise in materials science or related fields, e.g. polymers including polyolefins, soft matter, composites, etc. You will need to be able to identify and investigate various physical processes and mechanisms at multiple length and time scales, while integrating all aspects of the discovery and development framework.
About You
Required Skills & Qualification
- PhD in materials science and engineering, chemical engineering, chemistry, computational chemistry, physics, computational physics, or a related degree
- At least 3 years of materials modeling research experience (including PhD research)
- Expertise in multiscale and multi-physics materials modeling and calculations of material properties and performance using a broad range of techniques from ab initio to molecular mechanics, and statistical informatics approaches, and proficient with atomistic simulations, density-functional theory, molecular dynamics, coarse grained methods, and/or continuum methods (e.g. finite element analysis/methods) as well as corresponding modeling software packages
- Extensive coding experience, preferably with fluency in Python or other scripting languages for automation and C++
- Experience with high performance computing and massively parallel computer systems
- Ability to propose, implement, and lead new approaches to accelerate materials discovery and development
- Excellent communication with strong ability to develop partnerships and relationships across functional areas, and strong collaboration skills with experimentalists (e.g., chemists, analytical scientists, engineers)
- Experience with developing and deploying computational tools for materials research, and ability to convince users to utilize new tools and facilitate their implementation.
Preferred Qualifications/Experience
- Polymer science/physics, soft matter physics, fluid mechanics
- Research experience with material development addressing emerging energy and sustainability needs
- Thermodynamics, statistical mechanics, and kinetic modeling
Your benefits
An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance and life. We offer you:
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Competitive compensation
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Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits
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Retirement benefits
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Global networking & cross-functional opportunities
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Annual vacations & holidays
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Day care assistance program
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Training and development program
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Tuition assistance program
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Workplace flexibility policy
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Relocation program
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Transportation facility
Please note benefits may change from time to time without notice, subject to applicable laws. The benefits programs are based on the Company’s eligibility guidelines.
Stay connected with us
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EEO Statement
ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or disability status.
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