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Part Time Computational Material Science Jobs in Colorado

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Part Time Computational Material Science information

What is a part time computational material science?

A part-time computational material science job involves using computer-based simulations and modeling to study and predict the properties and behaviors of materials, but on a reduced or flexible work schedule. Professionals in this role may work on projects such as developing new materials, optimizing existing materials, or supporting experimental research with computational insights. These jobs are ideal for students, researchers, or professionals who need flexible hours, and often require knowledge of programming, materials science, and simulation software. Tasks can include running simulations, analyzing data, and preparing reports or presentations based on findings.

What are some typical projects or tasks a part time computational material scientist might work on, and how is work typically structured within a part time schedule?

As a part-time computational material scientist, you can expect to work on focused projects such as running simulations to predict material properties, analyzing data from computational experiments, or assisting in the development of new algorithms and models. Tasks often include collaborating remotely with full-time researchers, attending virtual meetings, and preparing reports or presentations on your findings. The workload is typically structured to fit your availability, allowing you to contribute to ongoing research while balancing other commitments. Communication and flexibility are key, as you may coordinate with multidisciplinary teams and adjust priorities based on project needs.

What are the key skills and qualifications needed to thrive as a part time computational material science professional, and why are they important?

To thrive as a Part Time Computational Material Science professional, you need a solid background in materials science, physics, or engineering, often supported by a relevant degree and experience with computational modeling. Familiarity with tools such as Density Functional Theory (DFT) software, molecular dynamics packages, and programming languages like Python or MATLAB is typically required. Strong analytical thinking, problem-solving, and the ability to communicate complex findings clearly are vital soft skills. These capabilities enable effective research, accurate simulations, and collaboration within interdisciplinary teams, driving innovation and advancement in materials development.

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

AspectPart Time Computational Material SciencePart Time Materials Engineer
Required CredentialsTypically requires a degree in materials science, physics, or engineering; familiarity with computational toolsRequires a degree in materials science, mechanical engineering, or related field; practical experience in materials testing
Work EnvironmentPrimarily office-based, using simulation software and data analysis toolsLaboratory or manufacturing settings, performing experiments and material testing
Industry UsageUsed in research, development, and simulation-focused roles within tech and manufacturing sectorsApplied in product development, quality control, and manufacturing processes

Part Time Computational Material Science focuses on computer-based simulations and modeling of materials, ideal for research roles. In contrast, Part Time Materials Engineer involves hands-on testing and practical application in labs or production environments. Both roles require a background in materials science but differ in work setting and daily tasks.

What are the most commonly searched types of Computational Material Science jobs in Colorado?

The most popular types of Computational Material Science jobs in Colorado are:

What are popular job titles related to Part Time Computational Material Science jobs in Colorado?

For Part Time Computational Material Science jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Part Time Computational Material Science jobs in Colorado look for?

The top searched job categories for Part Time Computational Material Science jobs in Colorado are:

What cities in Colorado are hiring for Part Time Computational Material Science jobs?

Cities in Colorado with the most Part Time Computational Material Science job openings:

Part Time Computational Material Science jobs near you
Infographic showing various Part Time Computational Material Science job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, and 3% Contract. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution.

Summer 2027 Internship - Computational and Software Engineering

Denver, CO • On-site

Xcimer Energy
See more jobs at Xcimer Energyexternal

$25 - $35/hr

Full-time, Part-time, Temporary, Internship

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New

Job description

Xcimer Energy leverages decades of research on Inertial Fusion Energy (IFE) combined with groundbreaking new laser architecture. Our mission is to deploy fusion power plants to meet global decarbonization goals as fast as possible. Xcimer has assembled a team of leaders in tough tech, fusion science, and manufacturing with a track record of rapid execution. Supported by leading investors, Xcimer is uniquely positioned to deliver limitless, clean, fusion power to combat climate change. Join us in powering a better world with inertial fusion!
 
Join Xcimer’s engineering internship program and gain hands-on experience in designing and building cutting-edge laser-driven inertial fusion hardware and software. As an intern, you will be integral to developing the systems needed for the world’s first commercial fusion energy power plant. We have multiple internship opportunities available across various disciplines, including Mechanical Engineering, Electrical Engineering, Physics, and Software Development. Please apply to the posting that best matches your background and interests.
 
During this 12-week program at our headquarters in Denver, CO, you’ll work alongside an industry expert mentor to tackle complex, real-world challenges in fields such as structures, mechanisms, optics, pulsed power, computational engineering, plasma physics, and manufacturing. We are seeking interns who are passionate about applying their technical skills, problem-solving abilities, and commitment to quality to drive the future of clean energy!
 
Application close date: 12/31/2026
Responsibilities will vary depending on each intern's are of expertise and interests
  • Mechanical design and hardware development
  • Mechanical and thermal analysis using finite element analysis
  • Systems engineering
  • Manufacturing engineering
  • Electrical engineering (pulsed power)
  • Control systems engineering
  • Computational and software engineering (simulations)
  • Nuclear engineering
  • Optical engineering
  • Plasma physics
Qualifications
  • Qualified candidates must be enrolled in a Bachelor's, Master’s or PhD degree program from an accredited college or university in mechanical engineering, electrical engineer, physics, nuclear engineering, or other related engineering discipline.
  • Application of technical skills outside of the classroom (examples include: extracurricular projects, volunteering, personal projects, laboratory research, or prior internship/work experience).
  • Proficiency in CAD software for 3D modeling and simulation.
  • Strong written, verbal, communication, and interpersonal skills. 
  • Passion for fusion energy!
  • Ability to work full-time onsite through the duration of the 12 week internship program in Denver, CO.
  • Must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee of granted asylum.
Undergraduate intern: $25/hr
Masters intern: $30/hr
PhD intern: $35/hr
 
Candidates may be considered for other positions at Xcimer Energy, and our actual base salary will be determined on an individual basis and may vary based on job-related knowledge and skills, education, and experience. The range is published in accordance with Colorado Equal Pay for Equal Work Act and California Equal Pay Act.
Equal Employment Opportunity
Xcimer Energy is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting, retaining, and developing a highly qualified, diverse, and dedicated work force. Xcimer Energy hires and promotes people on the basis of their qualifications, performance, and abilities. We support the establishment and maintenance of a workplace that fosters trust, equality, and teamwork, in which all employees recognize and appreciate the diversity of individual team members. We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, gender, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law. Xcimer Energy will consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state, and local laws. For more information on “EEO Is the Law,” please see here and here.
 
Benefits
Benefits Employee Benefits include: Medical, dental, vision, basic and supplemental life insurance, paid parental leave (must be employed at time of birth or adoption), short and long-term disability, 401(k) with a company match of up to 6%. Paid Time Off: 15 days per year based on weekly scheduled hours, 10 paid sick leave, and 13 company-paid holidays for all regular employees (including part-time), fixed-term, and interns. Equity will be granted to eligible employees. Equity is designed to allow employees to share in company results and success.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.