Research Scientist

6 days ago

Bengaluru Karnataka, India GE Vernova Strategy & Innovation Full time

**Roles and Responsibilities**
- Conduct multi-scale materials modeling, including atomistic simulations (e.g., VASP), molecular dynamics, phase-field modeling, Monte Carlo, and CALPHAD simulations to support alloy design, microstructural evolution, and materials behavior predictions.
- Collaborate on interdisciplinary R&D projects, contributing insights into alloy/material composition, processing, and performance relationships for high-performance materials.
- Support proposal writing, technical presentations, and communication of research findings to stakeholders, both internally and externally.
- Engage in technical reviews, foster teamwork, creativity, innovation and contribute to knowledge-sharing and skills development across the organization.
- Document research findings in technical reports, presentations, and peer-reviewed publications.

**Required Qualifications**
- Ph.D. in Materials Science, Metallurgy, or a related field with 3-5 years of postdoctoral or industry experience in materials modeling.
- Proficiency in multi-scale materials modeling, including atomistic (VASP or similar), molecular dynamics, phase-field, Monte Carlo, and CALPHAD simulations.
- Strong understanding of microstructure-property relationships and thermodynamics, especially for high-temperature and corrosion-resistant alloys.
- Experience with experimental materials processing (e.g., casting, forging, heat treatment).
- Experience in the utilization of characterization techniques (optical, SEM, TEM, XRD etc.), to understand the structure, processing and performance relationships of metallic materials systems. Examples include Steels, Ni-superalloys, Co alloys, Titanium alloys and Refractory alloy systems, as well as hard and soft coatings.
- Demonstrated ability to communicate technical findings effectively through written reports, presentations, and publications.
- Experience working collaboratively within a global R&D team, with a commitment to shared project goals.

**Desired Characteristics**
- Familiarity with data analysis and programming (Python, MATLAB) for developing and automating materials modeling.
- Experience of using High Performance Computing (HPC).
- Proven track record of scientific publications, showcasing research expertise in materials modeling and alloy design.
- Adaptable and innovative mindset, capable of working in multidisciplinary teams in a fast-paced R&D environment.
- Eagerness to engage in continuous learning and adaptability in newer modeling methods, such as casting and forging simulations, working with polymeric materials etc., to broaden expertise in material simulations.

**Additional Information**:
**Relocation Assistance Provided**:Yes

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