Scientist 2​/3

** What You Will Do*
* ** This position is open for external candidates only to apply.*
* ** This position will be filled at either the Scientist 2 or Scientist 3 level, depending on the skills and experience of the selected candidate. Additional responsibilities will be assigned at the higher level.*
* The Space Remote Sensing and Data Science Group, ISR-6, at Los Alamos National Laboratory is seeking a scientist to contribute to cutting-edge research and development in remote sensing, data science, image processing, signal processing, machine learning, and sensor data exploitation.

ISR-6 develops advanced methods and technologies for collecting, processing, analyzing, and interpreting data from space, airborne, ground-based, and laboratory remote-sensing systems. We are interested in candidates with strong technical foundations in image processing, signal processing, statistical analysis, computational modeling, scientific data analysis, or applied machine learning/AI.

Experience with any specific sensing phenomenology is welcome but not required.

In this role, you will contribute to one or more of the following areas:

+ Developing algorithms for processing, analyzing, and interpreting image, spectral, time-series, RF, optical, or other sensor data

+ Applying statistical, mathematical, machine-learning, AI, or physics-informed methods to detection, estimation, characterization, and inference problems

+   Supporting source-to-sensor modeling, including source behavior, propagation, sensor response, and measurement uncertainty

+   Analyzing experimental or field-collected data and comparing results with theoretical, simulated, or modeled expectations

+   Contributing to the design, characterization, calibration, and optimization of sensing systems and instruments

+   Participating in laboratory, field, or deployment activities to collect and evaluate remote-sensing data

+   Communicating technical results through reports, presentations, publications, and collaboration with interdisciplinary teams

+   Support field experiments at national and, as needed, international locations

** What You Need*
* ** Minimum

Job Requirements:

*
* The successful candidate will have many of the following qualifications:

+ Background in engineering, physics, applied mathematics, computer science, data science, or a related technical field

+ Experience conducting basic or applied research, engineering development, or technical analysis relevant to sensing, imaging, signal processing, scientific computing, machine learning, or sensor data analysis

+   Working knowledge of image processing, signal processing, statistical analysis, numerical methods, machine learning, or related data-analysis techniques

+   Experience using scientific programming tools or languages such as Python, MATLAB, C/C++, Julia, IDL, or similar

+   Demonstrated ability and enthusiasm for leveraging modern AI/agentic systems to accelerate scientific research, software development, data analysis, or engineering workflows.

+   Familiarity with one or more types of sensor or measurement systems, which may include cameras, focal plane arrays, optical systems, RF systems, acoustic/vibration sensors, spectral sensors, data-acquisition systems, laboratory instrumentation, or field sensors

+   Ability to work effectively both independently and as part of an interdisciplinary team

+   Clear written and oral communication skills, including the ability to contribute to technical reports, presentations, or publications

+   Ability to obtain and maintain a DOE Q clearance, which generally requires U.S. citizenship

** Additional

Job Requirements for Scientist 3*
* In addition to the

Job Requirements outlined above, qualification at the R&D Engineer 3 level requires:

+ Extensive experience applying image/signal processing, statistical methods, applied math, machine learning, or scientific computing to complex problems

+ Proven ability to develop, implement, or improve algorithms for sensor data analysis

+   Experience handling various data types, including imagery, spectral, time-series, RF, optical, vibration, or multi-sensor data

+   Familiarity with advanced areas such as Fourier analysis, estimation theory, sparse signal methods, image reconstruction, spectral analysis, sensor fusion, machine learning, anomaly detection, physics-informed ML, scalable data processing, or sensor calibration

+   Ability to link physical concepts, data traits, and computational techniques for effective analysis

+   Experience leading technical tasks or mentoring, coordinating teams, or contributing to proposals

** Education/Experience Scientist 2:
** Positions requires a Bachelor' degree in a STEM field from an accredited college and university and 4 years of related experience, typically with post-doctoral research experience at a university or national lab or equivalent experience directly related to the occupation

** Education/Experience Scientist 3:
** Position requires a Master's degree in a STEM field from an accredited…