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Internship Agent Based Modeling Jobs in Pennsylvania

ASCENSUS

Application Architect

Dresher, PA · On-site

Practical experience designing, prototyping, or delivering agent-based or model-assisted application capabilities (e.g., orchestration, tool/API integration, guardrails, observability, and production ...

ASCENSUS

Application Architect

Philadelphia, PA · On-site

Practical experience designing, prototyping, or delivering agent-based or model-assisted application capabilities (e.g., orchestration, tool/API integration, guardrails, observability, and production ...

AVEVA

Experienced Software Developer

Philadelphia, PA · On-site

$124K - $236K/yr

Implementing AI orchestration frameworks and agent-based architectures using technologies such as Semantic Kernel, AI Foundry, Microsoft Agent Framework (MAF), Model Context Protocol (MCP), and ...

Aveva

Experienced Software Developer

Philadelphia, PA · On-site

$124K - $236K/yr

Implementing AI orchestration frameworks and agent-based architectures using technologies such as Semantic Kernel, AI Foundry, Microsoft Agent Framework (MAF), Model Context Protocol (MCP), and ...

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Internship Agent Based Modeling information

What is an internship in agent based modeling?

An Internship in Agent Based Modeling is a temporary position, typically for students or recent graduates, where you learn and assist in developing computational models that simulate the actions and interactions of autonomous agents. The role involves using programming and mathematical techniques to study complex systems in fields like economics, biology, or social sciences. Interns often work with simulation tools, analyze data, and contribute to research projects under the supervision of experienced modelers. This internship helps you gain practical experience in computational modeling and can enhance your understanding of how agent-based simulations are used to solve real-world problems.

What are the typical projects an intern in agent based modeling might work on, and how do they contribute to the team's goals?

As an intern in Agent-Based Modeling, you can expect to work on projects involving the simulation of complex systems, such as social networks, economic markets, or biological processes. Your tasks may include developing and testing models, analyzing simulation results, and assisting with data collection or visualization. These projects are integral to the team's research or product development goals, as your models help generate insights, validate hypotheses, and inform decision-making. Collaboration with data scientists, researchers, and software engineers is common, providing valuable exposure to interdisciplinary teamwork and real-world problem-solving.

What are the key skills and qualifications needed to thrive as an internship agent based modeling, and why are they important?

To thrive as an Internship Agent Based Modeling, you need a solid background in mathematics, computer science, or a related field, along with experience in modeling and simulation techniques. Familiarity with programming languages such as Python or Java, and tools like NetLogo, AnyLogic, or Repast, is typically required. Strong analytical thinking, problem-solving skills, and the ability to communicate complex concepts clearly are standout soft skills. These skills and qualities are crucial for developing accurate models, interpreting simulation results, and collaborating effectively within research or development teams.

What is the difference between Internship Agent Based Modeling vs Internship Data Analyst?

AspectInternship Agent Based ModelingInternship Data Analyst
Required CredentialsRelevant coursework in modeling, programming, or simulation; sometimes a background in computer science or mathematicsDegree in statistics, mathematics, or related field; proficiency in data analysis tools
Work EnvironmentResearch labs, simulation environments, or industry settings focusing on modeling complex systemsBusiness, finance, healthcare, or tech companies analyzing data sets
Employer & Industry UsageUsed in research, government agencies, and industries requiring simulation of agent behaviorsCommon across various industries for decision-making and reporting

Internship Agent Based Modeling focuses on developing and analyzing simulation models of agents within complex systems, often requiring programming skills. In contrast, Internship Data Analysts primarily interpret and visualize data to support business decisions. Both roles involve data handling but differ in methods and application areas.

What are the most commonly searched types of Agent Based Modeling jobs in Pennsylvania?

The most popular types of Agent Based Modeling jobs in Pennsylvania are:

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What job categories do people searching Internship Agent Based Modeling jobs in Pennsylvania look for?

The top searched job categories for Internship Agent Based Modeling jobs in Pennsylvania are:

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Cities in Pennsylvania with the most Internship Agent Based Modeling job openings:

Internship Agent Based Modeling jobs near you

Post-Doctoral Associate

Pittsburgh, PA • On-site

Carnegie Mellon University
Colleges, Universities, and Professional Schools • 1 - 10 employees

8.6

Company rating: 8.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

69th of 623 rated colleges and universities

Great coworkers

People enjoy working here

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Learn more about Carnegie Mellon Universityexternal

$47K - $64K/yr

Full-time

Re-posted 28 days ago

Job description

Description
The Software and Societal Systems Department, in the School of Computer Science, at Carnegie Mellon University is looking to hire two Post-Doctoral Associate who are interested in applying computational social science approaches to the study of online harms. Ongoing projects in which these postdocs will be involved include - assessment of influence campaigns and measuring their impact, meme analysis, online threat detection, assessment of techniques for countering information maneuvers, differences in online harms and influence campaigns across countries, geo-spatial differences in online harms. Successful applicants will need experience in either or both agent-based modeling and social network analysis/network science. The ideal candidate should be able to program in C or C and have experience working with tera-bytes of data. Preference for those who can also program in Python and know standard network analysis techniques and metrics such as community detection and centralities. Prefernce for those with experience in geo-spatial analysis, assessment of images, or assessment of memes. Preference for those with experience working with large scale data, millions of actors and messages. Successful candidates will work on at least two related agent-based simulation and empirical analysis projects, develop and run virtual experiments, analyze existing social media data, document results, write papers with Dr. Carley and possibly relevant PhD students, and present those results in the IDeaS conference. Candidates should be interested in studying behavior where the media posts are in non-English languages i.e. Chinese and Russian.
Qualifications
• Must have a PhD in STEM Field (including computational or mathematical social science).
• Ability to program in C and Python.
• Must know basic statistics.
• Experience in social network analysis.
• Experience using, building, validating and working generally with ABM's.
• Excellent writing skills for academic writing.

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