Machine Learning & Robotics Postdocs | Los Alamos, NM | Los Alamos National Laboratory

Machine Learning & Robotics Postdocs

What You Will Do

This postdoctoral position is focused on the development of novel and deployable solutions for identifying critical flaws and defects in nuclear material storage containers. A major role of the position will require developing a robust machine learning-driven analytical tool to characterize container defects during infrequent and opportunistic inspections in dynamic environments. Emphasis will be placed on integrating a wide range of architectures with an easy-to-use front end user interface. The position will also require the development of characterization systems to study the surface chemistry and the microstructure of nuclear material storage containers. Linking visible defects to underlying phenomena will be used to build a large knowledge database for future nuclear material storage surveillance.

A successful candidate will collaborate with a team of experience technical staff to explore and understand, in detail, nuclear material storage container health and characterization tools that provide the most relevant information for health screening. Candidates with a background in this research area, willingness to work with others, and a strong academic profile are encouraged to apply.

What You Need

Minimum Job Requirements:

  • Experience with deploying machine learning architectures for characterization of physical features.
  • Experience with designing and developing novel characterization systems.

Education: A Ph.D. in mechanical engineering, electrical engineering or related engineering discipline completed within the last 5 years or soon to be completed.

Desired Qualifications:
  • Substantial experience with image processing, computer vision, and/or neural networks.
  • Knowledge of material deformation mechanisms with an emphasis on metallic systems
  • Knowledge of electrochemistry and corrosion
  • Experience with finite elemental analytical tools with a focus on understanding defect generation.

Location: This position will be located in Los Alamos, NM.

COVID Vaccine:

The COVID vaccine is mandatory for all Laboratory employees, on-site contractors, and on-site subcontractors unless granted an accommodation under applicable state or federal law. This requirement will apply to those working on-site, those teleworking, and all new hires.

Note to Applicants: For technical questions related to this position contact Jonathan Gigax ( and David Grow ( You Will Work

Located in beautiful northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. Our generous benefits package includes:

§ PPO or High Deductible medical insurance with the same large nationwide network

§ Dental and vision insurance

§ Free basic life and disability insurance

§ Paid childbirth and parental leave

§ Award-winning 401(k) (6% matching plus 3.5% annually)

§ Learning opportunities and tuition assistance

§ Flexible schedules and time off (paid sick, vacation, and holidays)

§ Onsite gyms and wellness programs

§ Extensive relocation packages (outside a 50 mile radius)
Additional Details

Directive 206.2 - Employment with Triad requires a favorable decision by NNSA indicating employee is suitable under NNSA Supplemental Directive 206.2. Please note that this requirement applies only to citizens of the United States. Foreign nationals are subject to a similar requirement under DOE Order 142.3A.
Position does not require a security clearance. Selected candidates will be subject to drug testing and other pre-employment background checks.
New-Employment Drug Test: The Laboratory requires successful applicants to complete a new-employment drug test and maintains a substance abuse policy that includes random drug testing.

Equal Opportunity: Los Alamos National Laboratory is an equal opportunity employer and supports a diverse and inclusive workforce. All employment practices are based on qualification and merit, without regard to race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation or preference, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by federal laws and regulations. The Laboratory is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request such an accommodation, please send an email to or call 1-505-665-4444 option 1.Employment StatusFull Time