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Agent Based Modeling Scientist Jobs in Georgia (NOW HIRING)

... based approaches like large scale crystal plasticity finite element modeling and data-driven ... Broad science and engineering background and ability to connect knowledge across multiple ...

... based approaches like large scale crystal plasticity finite element modeling and data-driven ... Broad science and engineering background and ability to connect knowledge across multiple ...

... based approaches like large scale crystal plasticity finite element modeling and data-driven ... Broad science and engineering background and ability to connect knowledge across multiple ...

Experience building and deploying models using modern ML and MLOps practices, including experiment ... Strong understanding of AI-assisted software development workflows, including agent-based coding ...

... agent-based solutions into innovative products and research initiatives * Evaluate model ... Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field

... model lifecycle tooling, and reusable engineering services that enable data scientists, AI ... Provide the platform foundations supporting machine learning, generative AI, agent-based solutions ...

AI Agent Engineer

Alpharetta, GA · On-site

$77K - $103K/yr

We are a newly formed Enterprise AI team focused on enabling agent-based solutions across the ... model-training role * A traditional software engineering role * A pure data science or analytics ...

AI Agent Engineer

Alpharetta, GA · On-site

$77K - $103K/yr

We are a newly formed Enterprise AI team focused on enabling agent-based solutions across the ... model-training role * A traditional software engineering role * A pure data science or analytics ...

This Data Scientist role offers the opportunity to help CSAA Insurance Group anticipate and prepare ... Lead the design, development, and validation of simulation models (discrete-event, agent-based ...

Design evaluation frameworks and benchmarks for LLM outputs, prompts, and model behavior * Work on ... Experience with RAG, AI agents, or agent-based systems * Experience deploying ML or LLM-based ...

Senior AI Engineer

Atlanta, GA · On-site

$100K - $138K/yr

Select and evaluate models (hosted vs open-source) based on use case constraints * Agent-Based Systems (AgentCore) * Design and build agentic workflows capable of multi-step reasoning and decision ...

... agent-based applications. Responsibilities : • Co-architect and co-build production AI agents ... model agents. Founded in 2022, the company is headquartered in San Francisco, USA, with a team of ...

... agent-based applications. Responsibilities : • Co-architect and co-build production AI agents ... model agents. Founded in 2022, the company is headquartered in San Francisco, USA, with a team of ...

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Agent Based Modeling Scientist information

What is the difference between Agent Based Modeling Scientist vs Data Scientist?

AspectAgent Based Modeling ScientistData Scientist
Required CredentialsMaster's or PhD in computer science, mathematics, or related fields; experience with modeling and simulationDegree in statistics, computer science, or related fields; proficiency in programming and statistical analysis
Work EnvironmentResearch labs, academia, or industry focused on simulation and modeling projectsBusiness, tech companies, or consulting firms analyzing large datasets
Industry UsageResearch, simulation, complex systems modelingData analysis, predictive modeling, business insights

While both roles require strong analytical skills and programming knowledge, an Agent Based Modeling Scientist specializes in creating simulations of autonomous agents within complex systems, whereas a Data Scientist focuses on analyzing and interpreting large datasets to inform business decisions.

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

To thrive as an Agent Based Modeling Scientist, you need expertise in computational modeling, systems theory, and a strong background in mathematics or related fields, often supported by an advanced degree. Proficiency with programming languages such as Python, Java, or NetLogo and familiarity with simulation software are typically required. Analytical thinking, problem-solving, and the ability to communicate complex concepts clearly are valuable soft skills in this role. These skills are crucial for accurately developing, interpreting, and conveying insights from agent-based models to inform research or decision-making.

How does an agent based modeling scientist typically collaborate with interdisciplinary teams during a project?

Agent Based Modeling Scientists often work closely with experts from fields such as economics, epidemiology, engineering, and computer science to ensure that models accurately reflect real-world systems. Collaboration usually involves regular meetings to define system parameters, validate model assumptions, and interpret simulation results. Effective communication is essential, as team members may not always be familiar with agent-based modeling concepts. Sharing insights and translating technical findings for broader audiences helps ensure models are both robust and actionable for decision-makers.

What is an agent based modeling scientist?

An Agent Based Modeling (ABM) Scientist is a researcher or professional who develops computational models that simulate the actions and interactions of autonomous agents (such as individuals, groups, or entities) to study complex systems. These scientists use ABM techniques to analyze how the behavior of individual agents leads to collective outcomes, often in fields like biology, economics, social sciences, and epidemiology. Their work involves designing models, running simulations, and interpreting data to gain insights into system dynamics and emergent phenomena.
What are popular job titles related to Agent Based Modeling Scientist jobs in Georgia? For Agent Based Modeling Scientist jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Agent Based Modeling Scientist jobs in Georgia look for? The top searched job categories for Agent Based Modeling Scientist jobs in Georgia are:
What cities in Georgia are hiring for Agent Based Modeling Scientist jobs? Cities in Georgia with the most Agent Based Modeling Scientist job openings:

Modeling Scientist

Novelis Global R&T

Kennesaw, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago


Job description

Position Overview

Novelis is one of the world leaders in aluminum recycling and rolling and a leading sustainable aluminum solutions provider. Driven by our purpose of shaping a sustainable world together, we work alongside our customers to provide innovative solutions to the aerospace, automotive, beverage packaging and specialty markets. Headquartered in Atlanta, Georgia, Novelis has approximately 13,000 employees in 32 operating facilities on 4 continents.

Responsibilities & Qualifications

The Modeling team, located in Kennesaw, GA is seeking a Modeling Scientist. This role is responsible for the development and deployment of multi-physics, multiscale materials modeling and physics guided artificial intelligence modeling capability within Novelis to accelerate discovery and development of sustainable products and processes.

A major focus is bridging microstructural length scales, as applied to Novelis' products (aluminum sheet and plate) and its manufacturing processes (aluminum casting, rolling, heat treatments etc.), and development of a deeper understanding of alloy chemistry - thermomechanical processing - microstructure - property - product performance relationships using physics-based approaches like large scale crystal plasticity finite element modeling and data-driven approaches like machine learning and high-throughput computations.

Working closely with the metallurgists, product, process, and application engineers at the Customer Solution Centers, the successful applicant will apply their modeling expertise to a variety of technical challenges related to industrial sheet metal production and the manufacturing of complex products. The successful applicant will have the ability to gather critical materials inputs for their models as well as to test their ideas under close to real-world conditions by employing Novelis' substantial laboratory testing and characterization facilities and pilot-scale equipment before scale-up to Novelis plants or customer operations.

There will be opportunity to travel, to collaborate with our extensive network of academic and industrial partners, colleagues in Novelis' worldwide plants, regional research and technology centers and Customer Solution Centers around the globe and to directly support our customers. The role will involve working in and leading multi-disciplinary teams to combine modeling with experimental work for maximum impact on the speed and depth of our materials research. The role provides significant potential for technical growth and a real chance to impact the future success of Novelis' global businesses.

Responsibilities
  • Act as company-wide subject matter expert for multiscale, multiphysics modeling and application of machine learning to materials modeling in support of global R&D projects.
  • Establish advanced materials and data driven models to develop capabilities that will guide and accelerate development of transformational and sustainable products and processes.
  • Design, develop, and validate statistical and machine learning models for prediction, optimization, and simulation
  • Build endtoend ML workflows and pipelines, including data ingestion, feature engineering, training, evaluation, versioning, and deployment
  • Define and lead modeling driven projects to address critical product and process development challenges.
  • Partner with wide range of internal specialists to develop solutions e.g., with product metallurgists, rolling process engineers, formability, surface, corrosion and computational material scientists.
  • Establish and lead supporting partnerships with universities, national labs and other external organizations.
  • Support wider adoption and application of both physics and data driven modeling tools amongst other specialists.
  • Collaborate with colleagues to develop associated experimental programs that provide supporting data or understanding critical to model development.
Minimum qualifications
  • PhD in metallurgy, metallurgical engineering, materials science/engineering or mechanical engineering.
  • Minimum experience of 2+ years in multiscale, multiphysics modeling and application of machine learning after PhD completion gained in industrial R&D or in partnership with industry.
  • Candidates will have experience in the use of LS-DYNA, Abaqus, ANSYS, COMSOL or other well-known commercial FE software, as well as in some of the following:
    • Large scale crystal plasticity modeling, e.g., CPFEM, DAMASK, VPSC.
    • Multiphysics modeling e.g., fully and sequentially coupled thermo - electro - mechanical - magnetic analysis and computational fluid dynamics.
    • FE Pre/post processors, user subroutines.
  • Strong foundation in statistical modeling, machine learning algorithms, and model evaluation techniques and application to materials modeling.
  • Strong programming skills in Python; experience with SQL, data-intensive systems, and cloud systems (e.g. Microsoft Azure)
  • Demonstrated experience building ML workflows, pipelines and web applications or interactive dashboards
  • Technical leadership experience in R&D with demonstration of good project management skills.
  • Broad science and engineering background and ability to connect knowledge across multiple disciplines.
  • Capability to thrive in a team environment, communicate well, and to engage and influence wide variety of stakeholders throughout the organization.
  • International outlook and desire to travel to other Novelis or customer locations.
Preferred qualifications
  • Applicants are particularly sought who combine strong modeling capabilities with specialized capabilities in the following areas:
    • Mechanical behavior of metals, in particular forming, texture evolution, damage and fracture of aluminum alloys;
    • Metallurgy of aluminum alloys;
    • Use of experiments to validate models and analysis of the data;
    • Advanced models for the mechanical behavior of metallic materials and their use in FE simulations.
  • Direct or collaborative experience in experimental validation of computational models
  • Experience designing or implementing agnetic AI systems

Please note that we are unable to provide visa sponsorship for this position. Candidates must be legally authorized to work in the United States without the need for current or future sponsorship.

What We Offer:

Novelis benefits say a lot about how we care for each other. Our employees and their families have many different needs. As a result, our benefits offer choices on many levels and are high in quality, competitive in the marketplace, and affordable. These are a few of the benefits we offer to support you and your family's well-being:

  • Medical, dental and vision insurance
  • Health savings accounts - Company Funded Health Savings Account (HSA) and Health Reimbursement Account (HRA)
  • Flexible Spending Account (FSA)
  • Company-paid basic life insurance and Additional voluntary life coverage
  • Paid vacation and competitive personal time off
  • 401(k) savings plan with company match
  • Retiree Medical Plans - medical and prescription drug coverage through Novelis sponsored Retiree Health Access
  • Retirement Savings Account
  • Employee assistance programs - available 24/7 to you and your family
  • Wellness and Work Life Support - career development and educational assistance

#LI-NT

Location Profile

Novelis' Global Research and Technology Center located in Kennesaw Georgia within the greater Atlanta metropolitan area is a cutting-edge full-service research and technology hub that employs approximately 200 people including world-class engineers metallurgists chemists scientists technologists and technicians. The facility includes state-of-the-art lab equipment and a diverse mix of product pilot lines that bring innovative solutions to customers in the automotive beverage can and specialty markets. Kennesaw provides a diverse and family-friendly place to live with countless museums cultural opportunities and educational institutions. Novelis is committed to the Kennesaw community and supports a number of local charitable organizations including Habitat for Humanity as well as FIRST Robotics aimed at encouraging young people to pursue the Science Technology Engineering and Mathematics (STEM) fields in order to spur the next generation of scientists and innovators.

Novelis recognizes its talented and diverse workforce as a key competitive advantage. Novelis provides equal employment opportunities to all employees and applicants. All terms and conditions of employment at Novelis including recruiting hiring placement promotion termination layoffs recalls transfers leaves of absence compensation and training are without regard to race color religion age sex national origin disability status genetics protected veteran status sexual orientation gender identity or expression or any other characteristic protected by federal provincial or local laws.

Disclaimer

We encourage all potential candidates to follow the protocols below and to be diligent when sharing any personal information:1. Check the job posting is live and valid via our careers page: Careers - Novelis2. Verify any communication with us by contacting our talent team at Careers - Novelis

Employment Type: FULL_TIME