NYC-based Researcher: Synthetic Populations & Simulation

Aaru Inc.; New York (NY); On-site; USD 80,000 - 120,000; Full time

Benefits offered by this job

Competitive base salary

Equity participation

Comprehensive medical, vision, and dental coverage

Visa sponsorship and relocation support

Job summary

Aaru Inc. in New York City is seeking a Researcher to design and improve simulation systems that generate high-fidelity synthetic agents. You will advance methods for synthesizing agents and build evaluation frameworks, ensuring population-level accuracy.

The ideal candidate should have a PhD in a quantitative field and experience in synthetic data generation and agent-based modeling. We offer a competitive salary, equity, and comprehensive benefits.

Qualifications

• Deep experience with synthetic data generation and agent-based modeling.
• Strong understanding of computational social science and population simulation.
• Clear communication skills around simulation accuracy and results.

Responsibilities

• Design methods for synthesizing realistic agents from profile data.
• Build and evaluate simulation pipelines for population accuracy.
• Develop techniques for grounding agent behavior in real-world data.

Skills

Synthetic data generation

Agent-based modeling

Computational social science

Population simulation

Statistical analysis

Education

PhD in ML, computational social science, cognitive science, statistics, or psychometrics

Job description

Aaru Inc. in New York City is seeking a Researcher to design and improve simulation systems that generate high-fidelity synthetic agents. You will advance methods for synthesizing agents and build evaluation frameworks, ensuring population-level accuracy.

The ideal candidate should have a PhD in a quantitative field and experience in synthetic data generation and agent-based modeling. We offer a competitive salary, equity, and comprehensive benefits.