1

Day Computational Material Science Jobs in Georgia

... and computational material scientists. * Establish and lead supporting partnerships with ... PhD in metallurgy, metallurgical engineering, materials science/engineering or mechanical ...

... and computational material scientists. * Establish and lead supporting partnerships with ... PhD in metallurgy, metallurgical engineering, materials science/engineering or mechanical ...

... and computational material scientists. * Establish and lead supporting partnerships with ... PhD in metallurgy, metallurgical engineering, materials science/engineering or mechanical ...

D.) in Materials Science, Mechanical Engineering, or a related field, with more than ten years of experience in computational modeling. * Expertise in metallurgy and materials science, as well as ...

D.) in Materials Science, Mechanical Engineering, or a related field, with more than ten years of experience in computational modeling. * Expertise in metallurgy and materials science, as well as ...

D.) in Materials Science, Mechanical Engineering, or a related field, with more than ten years of experience in computational modeling. * Expertise in metallurgy and materials science, as well as ...

next page

Showing results 1-20

Day Computational Material Science information

What are the key skills and qualifications needed to thrive as a computational material scientist?

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 are the most commonly searched types of Computational Material Science jobs in Georgia? The most popular types of Computational Material Science jobs in Georgia are:
What cities in Georgia are hiring for Day Computational Material Science jobs? Cities in Georgia with the most Day Computational Material Science job openings:

Sr Research Engineer Aero Thermal Engineer

Binergy Scientific Inc

Atlanta, GA โ€ข On-site

$102K - $140K/yr

Full-time

Posted 26 days ago


Job description

*****US citizenship is required*****

BiNERGY Scientific, Inc.
www.binergyscientific.com
Position: Research Engineer (fulltime) - US citizenship is required
Description: R&D in the field of aero/thermal engineering, material science, or mechanical eng.
Location: Atlanta, GA (Chamblee), position is in-person/ onsite
Job Description:
Binergy Scientific is a top innovator in the field of electrochemistry, energy storage, material science and sensors with primary focus on defense applications. We develop cutting-edge electrochemical power sources, thermal components, innovative materials, biosensors, and devices for emerging defense applications, munitions, hypersonic vehicles, and other systems. Our work focus ranges from development of initial concepts, laboratory demonstration, and fieldable prototypes covering TRL 1 to 7.
We are seeking a highly motivated individual with a strong background in computational simulation, material science, mechanical engineering, electrochemistry, or relevant disciplines to contribute development of high temperature materials, design of hypersonic components, energy storage materials, batteries, biosensors, and other emerging devices for US DoD applications.
The emphasis of the position is to carry out work tasks in the areas of:
  • Thermal system and components development, design, and design optimization
  • Computational aerothermal analysis of hypersonic and high-speed vehicles and components
  • Thermal systems and thermal components prototype demonstration and testing
  • Hands-on manufacturing process development, including tools or fixtures required to manufacture, integrate, and inspect flight and ground test hardware
  • Experience with scaling up and development of manufacturing processes
  • Aero/thermal materials development, characterization, and testing
  • Mechanical design, characterization, and testing
  • Investigation of improvements, optimization, experimental validation and documentation of new/refined design and performance
  • Generating innovative ideas and solutions, preparation of compelling grant proposals
  • Preparation of technical reports and presentations
  • The position provides opportunities to grow and lead a dedicated R&D area

 Required Skills/Experience:

  • Master's degree or PhD in aerospace engineering, material science, mechanical engineering, electrochemistry or related engineering disciplines
  • Previous extensive experience with computational modeling (ANSYS Fluent or COMSOL Multiphysics)
  • Experience with development of thermal systems and high temperature components 
  • Hands on experience with material testing and characterization
  • Development of laboratory test assemblies and automation, experimental setups, data acquisition and data processing
  • Strong analytical and problem-solving skills, ability to work independently in a dynamic, fast paced work environment
  • Experience with project management
  • Due to the project focus and funding from the Department of Defense, US citizenship is required

 Desired Skills/Experience:

  • Experience with hypersonic flight vehicles and tactical weapons systems preferred
  • 5+ years' experience with computational simulation 
  • Experience with thermal system design
  • Practical experience with experimental setups, design, and applications