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Remote Computational Modeling Jobs in Pennsylvania

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... The applicant must have prior experience with computational modeling and flume experiments.

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... computational models, and methodological innovations. The scholar will also collaborate with NCEMS ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... computational modeling and will develop, test, and deploy pore-scale simulation models for the ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Analyze, design, and implement computational models (vehicle dynamics, sound propagation, signal ...

$48K - $65K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... some computational modeling. The position requires a doctoral (Ph.D.) degree in a scientific ...

$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 ...

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 ...

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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.
What are the most commonly searched types of Computational Modeling jobs in Pennsylvania? The most popular types of Computational Modeling jobs in Pennsylvania are:
What are popular job titles related to Remote Computational Modeling jobs in Pennsylvania? For Remote Computational Modeling jobs in Pennsylvania, the most frequently searched job titles are:
What cities in Pennsylvania are hiring for Remote Computational Modeling jobs? Cities in Pennsylvania with the most Remote Computational Modeling job openings:

Postdoc Position in Hydraulic Modeling

The Pennsylvania State University

On-site, Remote

Full-time

Re-posted 21 days ago


Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional information on remote work at Penn State, seeNotice to Out of State Applicants.

This is a term position; length of the term will be discussed during the interview process. Continuation past the termlengthdiscussed willbebasedonuniversityneed,performance,and/oravailabilityoffunding.

POSITION SPECIFICS

The Department of Civil and Environmental Engineering at The Pennsylvania State University has a Postdoctoral Scholar opening starting in July 2026 (starting date negotiable, but preference will be given to candidates who can start at this time).

This position is funded through a project to research on roadway hydraulic structure perform, such as culvert, through computational fluid dynamics (CFD) simulations and flume experiments. The product of this project will be used as a guidance for practitioners.

Job responsibility:

Under the guidance of the PI and collaborators from other university and industry, the major responsibility of the research associate is to carry out the research tasks in the project, which include literature survey, data collection, flume experiments, computational modeling, result analysis and synthesis, and report writing.

Requirements and qualifications:

Applicants should have a Ph.D. in civil engineering or related fields with a focus on hydraulics, environmental fluid mechanics, or water resources in general. The applicant must have prior experience with computational modeling and flume experiments. Experience with CFD software such as OpenFOAM is preferred, but not required.

To be considered for this position or if you need more information, please contact Dr. Xiaofeng Liu (xzl123@psu.edu). Dr. Liu's research group webpage: http://water.engr.psu.edu/liu/.

BACKGROUND CHECKS/CLEARANCES

Employment with the University will require successful completion of background check(s) in accordance with University policies.

BENEFITS

Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being.

For more detailed information, please visit ourBenefits Page. (Note: For Postdoctoral benefits, please see our Postdoctoral Benefits page.)

CAMPUS SECURITY CRIME STATISTICS

Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.

EEO IS THE LAW

Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.

Penn State is committed to and accountable for advancing equity, respect, and belonging. We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university's teaching, research, and service mission.

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About Pennsylvania State University

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Pennsylvania State University, often referred to as Penn State, is a major, public, research-intensive university located in University Park, PA, US. This esteemed institution serves as an important player within the education industry, offering a plethora of academic programs across various disciplines. The university was founded in 1855 with the mission to provide quality education, advanced research, and service to society. Penn State holds firmly to values of integrity, respect, and excellence, fostering a diverse and inclusive community. The university is renowned for its research productivity and its high-ranking programs in areas like engineering, business, and education. One notable achievement of the institution is its designation as a "R1: Doctoral Universities – Very high research activity," demonstrating its commitment to scholarship and discovery.

Industry

Education

Company size

11 - 50 Employees

Headquarters location

University Park, PA, US

Year founded

1855

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