Computational physicist

Summary

I am a multidisciplinary researcher and software engineer with extensive experience across computational physics, materials science, and advanced software development, spanning academic research, industrial R&D, and teaching. My work focuses on bridging fundamental science with practical, scalable solutions, particularly in the areas of functional materials, large-scale simulations, and complex engineering systems.

In my current role as an industry-based research engineer/scientist, I work on the design and implementation of advanced research-driven software applications for next-generation manufacturing technologies. My responsibilities include defining novel technical approaches, developing robust implementation strategies, and integrating state-of-the-art theories from optics, materials modeling, and software engineering. I collaborate closely with cross-functional teams spanning design, process development, and fabrication to ensure solutions are both scientifically sound and industrially viable. My work also involves process optimization, validation workflows, and contributing to intellectual property, technical reports, and peer-reviewed publications.

Previously, I held a postdoctoral research position in academia, where my research centered on ferroic and multiferroic materials, with particular emphasis on dynamical behavior and the influence of external parameters such as strain, temperature, and applied fields. I investigated antiferroelectric systems relevant to energy storage technologies using large-scale Molecular Dynamics and Monte Carlo simulations. During this time, I developed and customized simulation frameworks tailored to specific material systems, authored peer-reviewed journal articles, and mentored graduate students in computational methods and scientific programming.

Over several years as a graduate research assistant, I conducted in-depth computational studies on the static and dynamical properties of ferroelectric, antiferroelectric, and hybrid improper ferroelectric materials using high-performance computing platforms. This work led to insights into atomic-scale interactions responsible for complex structural phases in perovskite systems, including incommensurate and antipolar orderings. I also explored the effects of energetic couplings, epitaxial strain, and temperature on polar and antipolar modes. Alongside research, I regularly presented findings at seminars and conferences and contributed to mentoring and training junior researchers.

In parallel with my research activities, I have served as a peer reviewer for multiple international scientific journals, including highly selective and widely recognized publications. In this role, I critically evaluate submitted manuscripts for scientific quality, originality, and clarity, contributing to the integrity of the peer-review process across condensed matter physics and materials science.

Earlier in my career, I gained professional experience as a software developer, where I designed, developed, and maintained web-based applications. This role strengthened my skills in software architecture, code quality, and technology evaluation, which later proved valuable in research-focused software development. I have also held teaching-focused positions at the undergraduate level, supporting physics instruction through lectures, laboratory coordination, grading, and student mentoring, as well as contributing to research activities in materials-related laboratories.

At an earlier stage, I founded and operated a private educational academy, where I taught undergraduate-level physics courses spanning classical, quantum, statistical, and mathematical physics. I also taught numerical analysis and scientific programming, designed examinations, and guided students academically over an extended period.

I began my professional research career as a junior research fellow on a government-funded project in applied physics, focusing on theoretical and computational modeling of complex physical systems. This early experience laid the foundation for my long-term engagement in computational science, interdisciplinary research, and the integration of theory, simulation, and practical applications.

Overall, my experience reflects a sustained commitment to scientific rigor, computational innovation, mentorship, and the translation of fundamental research into impactful real-world technologies, while maintaining adaptability across academic, industrial, and educational environments.

Expectations

I am seeking a research- or engineering-focused position that allows me to apply advanced computational methods, scientific modeling, and data-driven approaches to solve complex, real-world problems. I am particularly interested in roles that sit at the intersection of scientific research, software development, and high-performance computing, where rigorous theory, simulation, and scalable implementation are equally valued.

I am motivated by opportunities that involve multidisciplinary collaboration, where I can work closely with researchers, engineers, and domain experts to translate fundamental insights into impactful technologies or robust computational tools. A role that encourages intellectual curiosity, continuous learning, and innovation is especially appealing.

I am looking for an environment that supports:

Development and application of computational modeling, simulations, and numerical methods

Use of large-scale data analysis, machine learning, or statistical techniques to extract physical or operational insights

Work on complex systems where performance, accuracy, and scalability matter

Access to high-performance computing or advanced computing infrastructure

Contribution to technical publications, patents, or open research outputs, when appropriate

In addition, I value positions that offer opportunities for mentorship and knowledge sharing, whether through guiding junior team members, collaborating across teams, or contributing to a strong technical culture. I am also interested in roles that allow for a balance between independent problem-solving and collaborative project ownership.

Overall, I am seeking a role where I can leverage my background in computational science and software engineering to make meaningful contributions, while continuing to grow technically and professionally in a forward-looking, research-driven organization.

Employment Preferences

Relocation destinations:

  • Fayetteville, Arkansas, United States

Spoken Languages

  • English - Fluent
Expected Base Salary

**,000 USD

Academic Degree
Experience

Total Professional Experience

20 years
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