Applied Machine Learning and Remote Sensing Postdoc
What You Will Do
Come join the best and brightest minds in the world at one of the most innovative and creative multidisciplinary research institutions! In collaboration with the Department of Energy Office of Environmental Management, the Computational Earth Science Group (EES-16) in the Earth and Environmental Sciences Division at Los Alamos National Laboratory is seeking an intellectually curious post-doctoral research associate for an immediate opening in applied machine learning and remote sensing. The successful candidate will use advanced deep learning techniques to develop a framework to augment airborne passive optical sensors' data collection and processing for fast and accurate methane leak detection.
The Earth and Environmental Sciences Division at Los Alamos National Laboratory employs about 120 scientists, 40 postdocs, and many students with expertise in various facets of Earth sciences. The successful candidate will join the interdisciplinary Computational Earth Science Group which includes more than 30 researchers working on strategic national and global problems related to energy and environmental security, such as energy production, climate change, environmental management, carbon sequestration, and waste storage. Our research includes active collaborations with industry, universities, and other national laboratories.
What You Need
Minimum Job Requirements:
- Have been granted at least one degree from a minority-serving institution
- Demonstrated ability to carry out independent and collaborative research
- Excellent written and communication skills as demonstrated by a record of peer-reviewed publications and oral presentations at conferences and meetings
- Ability to work and communicate effectively in a diverse team environment
Education/Experience: Eligible candidates must have been granted one or more degrees from a higher education institution classified as a minority serving institution and have obtained or will have received a doctoral degree in a STEM discipline by time of hire.
- Experience with image processing, computer vision, and/or neural networks
- Experience with remote sensing and passive optical sensors
- Proficiency in Python and R
- Proficiency in modern open-source data science and machine learning toolkits (e.g., scikit-learn, TensorFlow, PyTorch, statsmodels, Keras, NLTK, spaCy, tidytext, BeautifulSoup, Pandas)
- Proficiency in tools and workflows for modern software development (e.g., Git, GitLab/GitHub, unit/integration tests, Docker, SQL databases)
- Experience conducting data science research as a part of a multidisciplinary team
Location: This position will be located in Los Alamos, NM.
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: Initial postdoc appointments are for two years and are renewable for a third year. Outstanding candidates may be eligible for a LANL Director's Fellowship or a Distinguished Fellowship.
To apply, please submit an online application, including your CV and a one-page cover letter. The cover letter should include a short biography (2-3 sentences), research interests, and future career goals. Please address how you meet each of the minimum job requirements and any desired skills, if applicable.
In addition to applying online, applicants may email their CV and cover letter to Dr. Mohamed Mehana at firstname.lastname@example.org and Dr. Hari Viswanathan Viswana@lanl.gov. No applicant is expected to have all of the desired skills. Anyone who meets the minimum requirements is encouraged to apply.
Postdoctoral Researcher: Competitive salaries are based on the date the PhD degree requirements were completed or the degree was awarded. On the anniversary of these dates, salaries are automatically adjusted to the next higher level, e.g. PhD + 0: $81,500; PhD + 1: $83,000, etc.
For more information go to Postdoc Program.
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 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)
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.
Q Clearance: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements* for access to classified matter. This position requires a Q clearance which requires US Citizenship except in extremely rare circumstances. Dependent upon position, additional authorization to access nuclear weapons information may be required that may or may not be available to dual citizens depending upon the circumstances.
*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.
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 email@example.com or call 1-505-665-4444 option 1.Employment Status Full Time