Postdoc: Dynamic Systems & Energy Networks Optimization

Los Alamos National Security LLC; Los Alamos (NM); On-site; USD 87,300 - 106,700; Full time

Benefits offered by this job

Medical insurance

401(k) with matching

Flexible schedules

Job summary

Los Alamos National Security LLC is seeking a qualified Applied Mathematician for its Theoretical Division in Los Alamos, NM. The successful candidate will develop algorithms and numerical methods to optimize energy networks while collaborating with a dynamic team.

Applicants must have a Ph.D. (or near completion) in a related field and demonstrate strong expertise in optimization and control. The position offers a competitive starting salary of $97,000 along with comprehensive benefits, including medical and retirement plans.

Qualifications

• Ph.D. completed within the past five years or near completion.
• Ability to publish in scientific journals and communicate effectively.
• Experience in collaborating in a team environment.
• Expertise in optimization and network science.

Responsibilities

• Develop novel algorithms for surrogate modeling and economic analysis.
• Collaborate with peers for solutions to complex problems.
• Test computational methods for energy networks.

Skills

Optimization

Control theory

Dynamical systems

Networking

Scientific computing

MATLAB

Python

C/C++

Education

Ph.D. in Applied Mathematics, Engineering, Computer Science, or related field

Tools

MATLAB

Python

Julia

Rust

C/C++

Job description

Los Alamos National Security LLC is seeking a qualified Applied Mathematician for its Theoretical Division in Los Alamos, NM. The successful candidate will develop algorithms and numerical methods to optimize energy networks while collaborating with a dynamic team.

Applicants must have a Ph.D. (or near completion) in a related field and demonstrate strong expertise in optimization and control. The position offers a competitive starting salary of $97,000 along with comprehensive benefits, including medical and retirement plans.