Material Science Expert-PhD

Giantmind Interactive; India; Remote; INR 1,800,000 - 3,000,000; Full time

Job summary

Giantmind Interactive seeks highly qualified researchers/developers with PhD-level expertise in mathematics, chemistry, life sciences, or related fields. Candidates should demonstrate strong programming across C/C++, Rust, Python, Julia, and MATLAB/Octave, plus HDL experience and advanced Linux skills.

Hands-on work spans parallel computing, systems programming, and scientific software development. Strong analytical judgment and mentoring ability are essential.

Qualifications

• PhD or equivalent high-level technical experience across math, chemistry, life science, or related fields.
• Strong programming skills in C/C++, Rust, Python, Julia, Fortran, MATLAB/Octave or HDL; strong Linux/terminal proficiency.
• Hands-on expertise in at least one major area: parallel computing, systems programming, scientific software development, circuit simulation, signal processing, or digital hardware design.
• Strong understanding of algorithms, numerical methods, software testing, or EE principles.
• Experience reviewing complex codebases, engineering simulations, or research outputs.
• Ability to evaluate algorithm correctness, performance, numerical accuracy, concurrency, and reliability.

Responsibilities

• Mentor, review, or lead small technical teams.
• Evaluate algorithm correctness, computational performance, and numerical accuracy.
• Review complex codebases, simulations, or research outputs.
• Provide precise technical feedback and document quality standards.

Skills

C/C++

Rust

Python

Julia

MATLAB/Octave

HDL

Linux

Education

PhD or equivalent

Tools

HDL

Job description

Availability: 8 hours per day with an overlap of 4 hours with PST

• Ph.D., postdoctoral experience, or equivalent advanced technical experience in Math, Chemistry, Life Science, Material Science or a closely related discipline.
• Strong programming skills in C/C++, Rust, Python, Julia, Fortran, MATLAB/Octave, or hardware description languages (HDL), with advanced Linux and terminal proficiency.
• Hands-on expertise in at least one major area: parallel computing, systems programming, scientific software development, circuit simulation, signal processing, power systems, or digital hardware design.
• Strong understanding of algorithms, computational systems, numerical methods, software testing, or electrical engineering principles.
• Experience reviewing complex codebases, technical implementations, engineering simulations, or research outputs.
• Ability to evaluate algorithm correctness, computational performance, numerical accuracy, concurrency behavior, and reliability of technical results.
• Strong analytical judgment with the ability to identify technical errors, edge cases, race conditions, and flawed engineering assumptions.
• Experience mentoring, reviewing, or leading small technical teams.
• Excellent written communication skills for providing precise technical feedback and documenting quality standards.