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Simulation Phd Jobs in Pennsylvania (NOW HIRING)

Synopsys Inc

HPC Software Engineer

Canonsburg, PA · On-site

... simulation software, collaborating with experts to enhance performance and scalability across ... models Preferred : • PhD preferred. • Experience with GPU hardware and at least one GPU ...

Johnson Controls

Senior Modeling Engineer

York, PA · On-site +1

$102K - $141K/yr

Develop numerical simulations of thermal components commonly used in data center applications ... Master's or PhD in Mechanical Engineering or a related field. * 3+ years of industry experience ...

Siemens Healthineers

Medical Physicist

Philadelphia, PA · On-site +1

S. or PhD in Medical Physics, or closely related field, required. Minimum of 2 years post-graduate ... computerized simulator/accelerator required. Experience with a variety of clinical radiation ...

MMS

Study Design Statistician (US)

Philadelphia, PA · On-site

Assisting customers with their study design with a particular focus on simulation with KerusCloud ... PhD preferred. * 5-7 years of experience in the application of medical statistics (pharma, CRO ...

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Simulation Phd information

What is a Simulation PhD?

A Simulation PhD is a doctoral degree focused on the development, application, and analysis of simulation techniques across various fields such as engineering, physics, computer science, or healthcare. Students in this program conduct advanced research to create or improve models that simulate real-world processes or systems. The degree typically involves coursework, comprehensive exams, and an original dissertation contributing new knowledge to the field of simulation. Graduates often pursue careers in academia, research, industry, or government, where they apply simulation to solve complex problems.

What are the key skills and qualifications needed to thrive as a Simulation PhD?

To thrive as a Simulation PhD, you need advanced expertise in simulation modeling, mathematics, and data analysis, usually supported by a doctoral degree in a relevant field such as engineering or computer science. Proficiency with technical tools like MATLAB, Simulink, Python, or specialized simulation software, along with experience in programming and statistical analysis, is essential. Strong problem-solving skills, critical thinking, and effective communication are crucial soft skills for collaborating with interdisciplinary teams and presenting complex results. These abilities are important to drive innovation, ensure accurate research outcomes, and translate simulation results into practical solutions.

What are the typical research collaboration opportunities available to a Simulation PhD within academia or industry?

Simulation PhD holders often work closely with multidisciplinary teams, including engineers, computer scientists, and domain experts, to develop and validate complex models. In academia, collaboration may involve joint research projects, co-authored publications, or participation in research consortia. In industry, Simulation PhDs might partner with product development teams, data analysts, or IT professionals to solve real-world problems and optimize processes. These collaborations not only enhance research impact but also provide valuable networking and career advancement opportunities.

What job categories do people searching Simulation Phd jobs in Pennsylvania look for?

The top searched job categories for Simulation Phd jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Simulation Phd jobs?

Cities in Pennsylvania with the most Simulation Phd job openings:

Simulation Phd jobs near you
Infographic showing various Simulation Phd job openings in Pennsylvania as of August 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% Remote job distribution.

Post-Doctoral Associate

Carnegie Mellon University

Pittsburgh, PA • On-site

$47K - $64K/yr

Full-time

Re-posted 26 days ago

Carnegie Mellon University rating

8.6

Company rating: 8.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

69th of 622 rated colleges and universities

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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