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Simulation Phd Jobs in Alabama (NOW HIRING)

Amentum

Simulation Developer (SME1)

Huntsville, AL · On-site

Required : • Bachelor's, Master's, or PhD degree in Aerospace, Mechanical, Computer Engineering or equivalent • 10+ years of experience. • Intermediate to advanced proficiency in software ...

Amentum

Simulation Developer (SME1)

Huntsville, AL · On-site

Bachelor's, Master's, or PhD degree in Aerospace, Mechanical, Computer Engineering or equivalent * 10+ years of experience. Experience and proficiency in: * Intermediate to advanced proficiency in ...

Pae

Simulation Developer (SME1)

Huntsville, AL

Bachelor's, Master's, or PhD degree in Aerospace, Mechanical, Computer Engineering or equivalent * 10+ years of experience. Experience and proficiency in: * Intermediate to advanced proficiency in ...

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What are the key skills and qualifications needed to thrive as a Simulation PhD, and why are they important?

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 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.
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Simulation Phd jobs near you

Modeling & Simulation Lead

Camgian Corporation

Huntsville, AL • On-site

Full-time

Posted 25 days ago

Job description

We are seeking a skilled engineer to lead the modeling and simulation efforts for Camgian. The modeling and simulation lead will play a critical role in not only in the test and evaluation of Camgian’s diverse product set but also integrating model driven engineering into the full development lifecycle to reduce risk and increase development velocity. They will be responsible for directly developing and validating models at various levels of complexity as well as advising and overseeing their development within other functional areas. This position will involve coordination with a diverse set of stakeholders and will require excellent written and verbal communication skills. 


Qualifications 

  • Bachelor’s degree in engineering, math, or related technical field with at least 8 years of applicable experience or master’s degree with 6 years of applicable experience 

  • Strong foundation in mathematics 

  • Parametric modeling 

  • Experience with defense simulation systems  

  • Experience with AI/ML model training and integration for simulating behaviors 

  • Experience with user/human factor models 

  • Experience in combat system modeling 

  • Experience modeling distributed multi agent systems 

  • Strong ability to mitigate technical risks 

  • Proficiency with multiple languages and modeling frameworks including C++ and Python  

  • United States Citizenship 

Desired Skills  

  • Experience with Model Based Engineering tools (Enterprise Architect, Cameo, etc.) 

  • Experience with graphical modeling languages like UML, SysML, and defense frameworks 

  • Experience with simulation standards like DIS and HLA 

  • Experience with discrete event models 

  • Domain experience in combat systems and sensor fusion 

  • Experience with AFSIM 

  • Domain experience in AI/ML, data science, and prognostics 

  • Master’s or PhD in related field 

Key Responsibilities 

  • Define simulation needs across the board from ML model training through mission effectiveness 

  • The creation of models across several levels of abstraction 

  • Perform operational and mission effectiveness analysis 

  • Scenario definition 

  • Verification and validation of existing models 

  • Simulation result analysis 

  • Assist in risk management and identify approaches for technical risk burndown 

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