Los Alamos National Laboratory Remote Sensing Scientist / Scientist 3 in Los Alamos, New Mexico
What You Will Do
The Space and Remote Sensing Group (ISR-2) at Los Alamos National Laboratory is seeking a qualified, creative scientist to participate in the execution of our portfolio of exciting, cutting-edge research programs in remote sensing, with special emphasis inmultispectral and hyperspectral imagery processing, analysis and interpretation. We are particularly interested in candidates with experience developing and applying modern signal processing or machine learning algorithms to these measurements.In this position, the scientist will draw on their physical understanding of the generation, propagation, and sensing of spectral signatures in order to innovate new detection algorithms and approaches for extracting maximum information from ground, airborne, and satellite-based measurements.
In close collaboration with remote sensing experimentalists and other analysts, and with unique data sets from a variety of measurement platforms, the R&D Scientist 3 will be expected to:
Develop highly innovative signal/image processing approaches (such as machine learning) for spectral sensing and detection
Model the generation, propagation, and sensing of spectral signatures from source to sensor
Help design and execute lab experiments and field campaigns
Analyze collected data
Assess and improve the performance of new methods and algorithms
Propose and lead new research efforts related to spectral sensing
What You Need
Minimum Job Requirements:
Technical Experience: General understanding of spectral emission, transmission through the atmosphere, and imaging methods, as well as familiarity with spectral properties of solids, liquids, and gases. Experience with machine learning, signal/image processing, or statistical detection theory.
Programming: Fluency in one or more scientific programming languages (such as Python, Matlab, IDL/ENVI, or C).
Communication: Excellent written and verbal communication skills.
Mentoring & Teamwork: The ability and desire to lead multi-disciplinary research teams, as well as experience mentoring students and/or postdocs. Additionally, you must will need to work independently, with a high level of creativity and initiative.
Research: Experience developing and writing successful research grant proposals. The ability to express ideas clearly in written and oral communications, including a recent history of publishing in refereed scientific journals, major reports, or invited talks.
Clearance Ability: Ability to obtain and maintain Q and SCI clearances, which typically requires U.S. citizenship.
Education/Experience: Advanced degree in physics, engineering, computer science or other sensing related field and a minimum of 3-4 years of relevant experience or an equivalent combination of education and experience. PhD preferred.
Data: Some experience working with large datasets
Deep Learning: Familiarity with supervised deep learning as well as some experience with opensource deep learning tools (for example TensorFlow, Caffe, PyTorch)
Optics: Familiarity with optics
Programming: Programming experience in Python
Computing Platforms: Familiarity with parallel, distributed, or other high-performance computing platforms
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.
C learance: Q/SCI (Position will be cleared to this level). Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements
for access to classified matter.
Eligibility requirements: To obtain a clearance, an individual must be at least 18 years of age; U.S. citizenship is required except in very limited circumstances. See DOE Order 472.2 for additional information.
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.
Regular position: Term status Laboratory employees applying for regular-status positions are converted to regular status.
Internal Applicants: Regular appointment employees who have served at least one year of continuous service in their current position are eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the one year of continuous service, they may only apply for Laboratory jobs with the documented approval of their Division Leader.Please refer to Laboratory Policy P701 for applicant eligibility requirements.
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 firstname.lastname@example.org or call 1-505-665-4444 option 1.
Where 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 maternity 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)
Contact Name Thomas, Kristin Sue
Vacancy Name: IRC81999
Organization Name Space & Remote Sensing
Minimum Salary 110400
Maximum Salary 186300
Req ID: IRC81999