Ai Scientific Coder

Description:

We are seeking an "AI Scientific Coder" to develop mathematical models and AI-driven solutions for materials research. You will work at the intersection of materials science, physics, and machine learning.

Key Responsibilities

▪️Develop and optimize mathematical/physical models for materials behavior and properties prediction
▪️ Build machine learning pipelines for materials discovery
▪️Write efficient, well-documented scientific code in Python
▪️Collaborate with experimentalists and engineers to translate concepts into computational solutions
▪️Analyze large-scale datasets using statistical and ML methods

Required Qualifications

Education:

▪️Bachelor's degree in Materials Science, Electrochemistry (ECR), Physics, or related field
▪️ Master's degree in a relevant discipline
▪️ Ph.D. in Materials Science, Computational Science, or related field

Technical Skills:

▪️Strong Python proficiency with scientific computing experience
▪️Hands-on experience with mathematical modeling and numerical methods
▪️ Familiarity with NumPy, SciPy, Pandas, Scikit-learn
▪️ Experience with ML frameworks (TensorFlow, PyTorch)
▪️ Solid foundation in physics, thermodynamics, and materials theory