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Remote Computational Modeling Jobs (NOW HIRING)

The Pennsylvania State University

$16/hr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... computational models of the human postural system. This position offers hands-on experience in ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... CIDD is committed to leading cutting-edge modeling and computational approaches to leverage the ...

Department of Energy - Agency Wide

Economist

Washington, DC · On-site +1

$143K - $187K/yr

This position is not remote, the selectee will be expected to report to the duty station(s) listed ... computational modeling. * Leading or managing oil or natural gas market research projects or ...

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Remote Computational Modeling information

What are the key skills and qualifications needed to thrive as a Remote Computational Modeling Specialist, and why are they important?

To excel in Remote Computational Modeling, you need a strong background in mathematics, physics, and computer science, often supported by a relevant degree such as in engineering or applied sciences. Proficiency with modeling software (like MATLAB, ANSYS, or COMSOL), programming languages (such as Python or C++), and cloud computing platforms is typically required. Outstanding analytical thinking, problem-solving abilities, and effective remote communication skills set top candidates apart. These competencies ensure accurate model development, efficient collaboration, and the ability to deliver reliable results in a remote work environment.

What is remote computational modeling?

Remote computational modeling is the process of creating and simulating mathematical models of real-world systems using computer software, performed from a location outside a traditional office or laboratory setting. Professionals in this field use specialized software to analyze complex data, make predictions, and solve scientific or engineering problems, all while collaborating virtually with teams or clients. This remote setup allows for greater flexibility and access to global projects, making it an attractive option for computational scientists, engineers, and analysts.

What is the difference between Remote Computational Modeling vs Remote Data Analysis?

AspectRemote Computational ModelingRemote Data Analysis
Required CredentialsDegree in computational science, engineering, or related fields; programming skillsDegree in statistics, data science, or related fields; analytical skills
Work EnvironmentCollaborative teams, research labs, or industry projects involving simulationsData-focused environments, business analytics, or research settings
Industry UsageEngineering, scientific research, product developmentBusiness, marketing, healthcare, finance
Search & Comparison IntentUnderstanding roles involving simulation and modeling techniquesAnalyzing data sets to derive insights

Remote Computational Modeling involves creating simulations and models to predict or analyze complex systems, often requiring programming and scientific expertise. Remote Data Analysis focuses on examining data sets to extract meaningful insights, typically using statistical tools. While both roles require analytical skills and often overlap in technical knowledge, they serve different purposes within industries like engineering, research, and business.

What are some common challenges faced by professionals in remote computational modeling roles, and how can they be addressed?

Professionals in remote computational modeling often face challenges such as maintaining effective communication with team members, managing complex simulations across distributed systems, and staying aligned with project goals without in-person oversight. To overcome these obstacles, it's important to leverage collaboration tools, establish regular check-ins with your team, and document your work thoroughly. Additionally, setting up a reliable remote work environment with necessary software and high-speed internet can help ensure productivity and minimize technical disruptions.
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Remote Computational Modeling jobs near you
Battery Simulation & Computational Scientist Internship

Battery Simulation & Computational Scientist Internship

Sila

Alameda, CA • On-site, Remote

$25 - $39/hr

Other

Re-posted 8 days ago

Job description

Who You Are

Are you a thoughtful, creative, and code-savvy simulation scientist or engineer? We are looking for someone who sits at the intersection of computer science and electrochemistry. You might be a software engineer with a passion for physics, or a theorist with a talent for building robust software infrastructure.

Sila Nanotechnologies is seeking a Battery Simulation & Computational Scientist (Intern) to:

  • Architect and implement physics-based battery models using PyBaMM.
  • Bridge the gap between theoretical equations and production-grade software code.
  • Leverage key insights from our battery models to accelerate learning cycles and reduce the cost of empirical R&D.
Responsibilities and Duties  
  • Commit to a 6+ month internship (Remote or Onsite); this is not a position for students only available for summer months.
  • Analyze electrochemical data to build, parameterize, and apply new numerical models.
  • Fit electrochemical models to experimental data and evaluate model performance across a range of different electrochemical test techniques.
  • Support infrastructure development, helping to build the backend pipelines and tools that bring physics-based models to a wider audience.
  • Work closely with scientists and cross-functional teams to discover and communicate knowledge for the long-term development of our next-generation battery materials.
  • Invest in our values and champion them as we grow.
Knowledge and Skill Requirements 
  • BSc (or preferably MSc/currently enrolled in a Ph.D. program) or equivalent research experience in Computer Science, Applied Mathematics, Chemical Engineering, Materials Science, or a related field.
  • Strong experience using PyBaMM (Python Battery Mathematical Modeling) is required.
  • Mastery of Python, including standard scientific libraries (NumPy, SciPy, Pandas).
  • Experience interacting with databases using SQL or Snowflake.
  • Proficient with Git and collaboration platforms (GitHub or GitLab).
  • Ability to navigate and execute workflows in Linux or macOS terminal environments.
  • Knowledge of electrochemical theory and the application of the P2D (Pseudo-Two-Dimensional) or Doyle-Fuller-Newman models.
  • Public contributions to the PyBaMM repository or related sister projects on GitHub.
  • Proficiency in using AI coding tools (e.g., Claude Code, Copilot) and knowledge of effective prompting techniques to accelerate development.
  • Experience building CI/CD pipelines, containerization (Docker), or some exposure to full-stack development.
Physical Demands and Working Conditions
  • Move long distances (such as from building to building) and be stationary for extended periods of time
  • Operate a computer and other office equipment, such as a laptop, copier/printer, etc in a fixed location
  • This role is open to Remote candidates.

The starting base pay for this role is between $25/hr and $39/hr at the time of posting. The actual base pay depends on many factors, such as education, experience, and skills. Base pay is only one part of Sila's competitive Total Rewards package that can include benefits, perks, and equity.  The base pay range is subject to change and may be modified in the future. This role may also be eligible for overtime.

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