Computational Materials Scientist at ExxonMobil

ExxonMobil; Bengaluru; On-site; INR 1,400,000 - 2,160,000; Full time

Benefits offered by this job

Competitive Compensation

Global Opportunities

Work-Life Balance

Job summary

ExxonMobil is looking for a Computational Materials Scientist based in India. You will develop multiscale modeling techniques while collaborating with engineers and chemists.

The ideal candidate should have a PhD in Materials Science or related fields and at least 3 years of experience in materials modeling research. The role offers competitive compensation and global opportunities to collaborate across organizations.

Qualifications

• Minimum 3 years in materials modeling research including PhD research.
• Strong collaboration and communication skills.

Responsibilities

• Develop and utilize multiscale and statistics-driven modeling competencies.
• Collaborate with cross-functional teams including chemists and engineers.
• Contribute to materials discovery through advanced modeling strategies.

Skills

Fluency in Python

C++ proficiency

Experience with parallel computing

Collaboration skills

Education

PhD in Materials Science

Job description

Job Overview

Computational Materials Scientist at ExxonMobil

Company: ExxonMobil

Location: Bengaluru, Mumbai, or National Capital Region, India

Employment Type: Full-time

Salary: ₹14.0L–₹21.6L per year

Degree: PhD in Materials Science, Chemical Engineering, Computational Chemistry, Physics, or related fields

Experience: Minimum 3 years in materials modeling research (including PhD research)

Key Responsibilities

• Develop and make use of multiscale, multi-physics, and statistics-driven modeling competencies to analyze fabric conduct and common typical performance.
• Combine physics-primarily based absolutely and facts-driven strategies (e.g., tool mastering and substances informatics) to lay out superior materials.
• Investigate physical techniques at more than one scale and combine computational findings with experimental facts.
• Contribute to materials discovery and improvement through presenting modern modeling strategies.
• Collaborate with pass-useful groups, collectively with chemists, engineers, and analysts, to gain research targets.
• Develop and install computational gear to enhance studies general overall performance and adoption by using way of inner groups.

Required Skills

• PhD in materials technological information, chemical engineering, physics, computational chemistry, or associated disciplines.
• At least 3 years of revel in substances modeling research, together with PhD work.
• Fluency in Python, C++, or other scripting languages.
• Experience with parallel computing structures.
• Strong collaboration and communique talents to work effectively with experimental businesses and stakeholders.

Preferred Skills

• Knowledge in polymer technology, mild recollect variety physics, and fluid mechanics.
• Proficiency in thermodynamics, statistical mechanics, and kinetic modeling.

Benefits

• Competitive Compensation: Aligned together together with your knowledge and experience.
• Global Opportunities: Network and collaborate throughout international organizations.
• Work-Life Balance: Flexible pointers and annual excursion plans.