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Day Computational Material Science Jobs in Spring, TX

ExxonMobil

Computational Scientist

Spring, TX · On-site

They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower ... pace of computational science technology development and deployment. * Frame computational ...

ExxonMobil

Computational Scientist

Spring, TX · On-site

They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower ... pace of computational science technology development and deployment. * Frame computational ...

ExxonMobil

Computational Scientist

Spring, TX · On-site

They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower ... pace of computational science technology development and deployment. * Frame computational ...

ClinLab Solutions Group

MOCVD Scientist

Houston, TX · On-site

Utilizes kinetic modeling, computational chemistry, or first-principles modeling to deepen ... Minimum Qualification * s Master's degree in Materials Science, Chemical Engineering, Chemistry ...

Indorama Ventures

Senior Research Scientist

The Woodlands, TX · On-site

$88K - $112K/yr

Have you ever thought about being part of a company that reimagines chemistry every day to build a ... S. in Chemistry, Chemical Engineering, Material Science, Biochemistry, or Polymer Chemistry ...

Varsity Tutors

AP Computer Science A Tutor

Houston, TX · Remote

$18 - $40/hr

Emphasizes developing computational thinking and problem decomposition skills while connecting ... Ability to identify concepts students commonly struggle with, explain material using multiple ...

Varsity Tutors

Physical Chemistry Tutor

Houston, TX · Remote

$18 - $40/hr

Emphasizes mathematical rigor in chemical reasoning and connects physical chemistry to materials science, nanotechnology, and computational chemistry applications. * Curriculum Awareness & Adaptive ...

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All JobsDay Computational Material Science JobsDay Computational Material Science Jobs in Spring, TX

Day Computational Material Science information

See Spring, TX salary details

$50.3K

$74K

$87.2K

How much do day computational material science jobs pay per year?

As of Jun 30, 2026, the average yearly pay for day computational material science in Spring, TX is $73,958.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $83,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Computational Materials Scientist, and why are they important?

To thrive as a Computational Materials Scientist, you need a strong background in materials science, physics, or chemistry, typically supported by a relevant advanced degree (MSc or PhD). Expertise with simulation software such as VASP, Quantum ESPRESSO, or LAMMPS, as well as proficiency in programming languages like Python or Fortran, is essential. Analytical thinking, problem-solving, and effective communication are standout soft skills for collaborating with interdisciplinary teams and presenting complex data. These skills are crucial for driving innovation, accurately modeling materials, and translating computational results into real-world applications.

What are some common challenges faced by professionals in Day Computational Material Science roles, and how can they be addressed?

Professionals in Day Computational Material Science often encounter challenges such as managing large datasets, integrating experimental and simulation results, and keeping up with rapid advancements in computational methods. Addressing these challenges requires strong collaboration with experimentalists, continual learning to stay updated on new software and algorithms, and effective time management to balance multiple projects. Leveraging open-source tools and participating in interdisciplinary teams can also help overcome technical hurdles and enhance research outcomes.

What is a Computational Material Scientist?

A Computational Material Scientist is a professional who uses computer simulations and theoretical models to study and predict the properties and behaviors of materials. They utilize advanced software and high-performance computing to analyze materials at the atomic or molecular level, helping to design new materials with specific characteristics. Their work supports advancements in fields like electronics, energy, aerospace, and manufacturing by enabling faster and more cost-effective material development compared to traditional experimental methods.

What is the difference between Day Computational Material Science vs Day Materials Engineer?

AspectDay Computational Material ScienceDay Materials Engineer
Required CredentialsTypically requires a PhD or Master's in materials science, physics, or related fieldsBachelor's or Master's in materials engineering or related disciplines
Work EnvironmentPrimarily research labs, computational environments, and simulation softwareDesign, testing, and manufacturing settings, often in industrial or construction sites
Employer & Industry UsageResearch institutions, universities, R&D departments of tech and manufacturing firmsManufacturing companies, construction firms, product development teams

Day Computational Material Science focuses on computer-based simulations and modeling to understand material properties, while Day Materials Engineer involves practical application, testing, and development of materials in real-world settings. Both roles require strong technical knowledge but differ mainly in their work environment and daily tasks.

What cities near Spring, TX are hiring for Day Computational Material Science jobs? Cities near Spring, TX with the most Day Computational Material Science job openings:
Day Computational Material Science jobs near you

Sr. Artificial Intelligence Lab Scientist - Material Discovery

Aramco

Houston, TX • On-site

Full-time

Posted 11 days ago

Key responsibilities

  • Develop and lead execution of energy related research projects with an emphasis on computational materials discovery.

  • Collaborate with stakeholders and domain experts to frame AI-ready problem statements and identify high-impact solutions.

  • Lead end-to-end AI initiatives, including data acquisition, feature engineering, model deployment, and performance monitoring.

Job description

Aramco Americas Company
Sr. Artificial Intelligence Lab Scientist - Material Discovery (1844)
R&D / Houston Downstream Research Center - Houston, TX. - Full Time
OVERVIEW:
Aramco Americas is establishing a state-of-the-art research center in Houston dedicated to advancing CO₂ capture, low-carbon liquid fuels and chemicals, renewable energy, and energy storage solutions, as well as artificial intelligence applications in the energy sector. The center's mission is to transform early-stage, low-TRL research into mid-level technologies (TRL 5-7), bridging the gap between fundamental discovery and practical deployment.
SCOPE:
Aramco Americas is seeking an experienced scientist specializing in the application of Artificial Intelligence (AI) and Machine Learning (ML) to accelerate next-generation materials discovery for carbon capture and utilization, catalysis for synthetic fuels and chemicals development, and related sustainable energy technologies. The role will apply AI/ML-driven modeling, simulation, and data analytics to understand and predict material structure-property-performance relationships and link these insights to industrially relevant processes. The position will work closely with laboratory researchers and process development teams to translate computational discoveries into experimental validation, scale-up considerations, and practical implementation. The ideal candidate will possess a strong technical foundation in AI/ML-enabled material research, coupled with demonstrated experience managing multidisciplinary research projects and driving innovations from concepts through deployment.
PRINCIPLE DUTIES:
  • Develop and lead execution of energy related research projects (e.g., catalysis, adsorption, and energy transition related) with an emphasis on computational materials discovery.
  • Organize project tasks and milestones, including evaluation of important schedules, deliverables, and resources.
  • Collaborate with stakeholders and domain experts to understand challenges, frame AI-ready problem statements, and identify high-impact solutions.
  • Lead end-to-end AI initiatives, including data acquisition, feature engineering, model deployment, and performance monitoring.
  • Build or modify existing computational architecture for material development.
  • Work with team members to transfer computational designs into laboratory samples.
  • Collect and analyze data related to material properties and performance.
  • Stay up to date on emerging technologies in the field of AI and ML.
  • Identify collaborative opportunities with both internal and external partners based upon identified technical challenges and collaborator skill sets.
  • Work with key business stakeholders to manage technology deployment.
  • Write technicals reports, journal publications, and present findings at conferences.
  • Provide and manage a safe, accident-free laboratory environment. Follow all company safety rules in performing job duties.

MINIMUM REQUIREMENTS:
  • PhD Degree in an Engineering or Science discipline with a preference towards computational materials analysis and discovery.
  • Nine (9) years of relevant industrial experience related to energy materials design
  • Preferred candidates will have research experience in theoretical, computational, modeling, and/or simulation of materials science or related fields, including familiarity with molecular dynamics and density functional theory methodologies.
  • Preferred candidates will have experience in the application of AI and ML approaches to material development.
  • Preferred candidates will be proficient in the Python coding language.
  • Must be able to communicate and comprehend accurately, clearly and concisely in English at a level required to perform the job as outlined.
  • Candidate should be comfortable in working independently or part of a project team, frequent project presentation and travel to meetings at conferences and universities. Must possess good work habits, a strong work ethic, and be able to adhere to company work hours, policies, and standard business etiquette.

NO THIRD-PARTY CANDIDATES ACCEPTED

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