Postdoc: Phenomenology & Sensor Signatures

Sandia National Laboratories; Albuquerque (NM); On-site; USD 85,000 - 115,000; Full time

Benefits offered by this job

Flexible work arrangements

Telecommuting

Relocation assistance

Generous vacation

Job summary

Sandia National Laboratories in Albuquerque seeks a post‑doctoral appointee to support multi-disciplinary research in physics, atmospheric science, and engineering. You will join teams addressing defense and nonproliferation missions, developing radiation hydrodynamics models, optical sensor concepts, and related simulations.

The role requires strong data analysis, ability to work on end‑to‑end sensor modeling, and effective communication of complex results to collaborators.

Qualifications

• PhD conferred within 3 years in physics, engineering, applied mathematics, or a related field.
• Ability to attain and maintain a DOE Q Clearance.

Responsibilities

• Integrate into an established team to perform research and development focused on customer mission requirements from phenomenological understanding to sensor/modeling concept development, design, and analysis in support of these missions.
• Work on end-to-end simulations for evaluating sensor utility and supporting future sensor designs.
• Document results in high-quality presentations and reports.
• Present results to collaborators succinctly and effectively.
• Develop, verify and validate physics-based computational models.
• Apply models and codes to customer-specific problems.

Skills

Analytical skills

Communication skills

Independent researcher

Education

PhD in physics/engineering (within 3 years)

Tools

Python

C++

MATLAB

R

Job description

Sandia National Laboratories in Albuquerque seeks a post‑doctoral appointee to support multi-disciplinary research in physics, atmospheric science, and engineering. You will join teams addressing defense and nonproliferation missions, developing radiation hydrodynamics models, optical sensor concepts, and related simulations.

The role requires strong data analysis, ability to work on end‑to‑end sensor modeling, and effective communication of complex results to collaborators.