Postdoc in Climate Modeling and Analysis of Arctic Amplification – Los Alamos National Laboratory
What You Will Do
Come join the brightest minds at the most innovative R&D facility supporting National Security! The Computational Physics and Methods Group (CCS-2) at Los Alamos National Laboratory is seeking a climate modeling and analysis postdoc to investigate processes and feedbacks associated with Arctic Amplification.
There is nothing ordinary about the work being done at LANL, and CCS-2 is no exception. Our ~55 staff, postdocs and students conduct fundamental scientific research and develop computational methods and algorithms across a broad range of physics areas in order to answer questions relevant to LANL’s national security mission. The HiLAT (High-Latitude Application and Testing of Earth System Models) team is applying cutting edge modeling tools to understand the drivers of Arctic Amplification, ranging from Machine-Learning Assisted Reduced-Order Models to the Department of Energy’s Energy Exascale Earth System Model (E3SM).
The successful applicant will work as part of the HiLAT team, in a multidisciplinary and collaborative environment that includes project partners at other National Laboratories and at universities. In collaboration with their future mentor, the successful applicant will develop and execute a research plan related broadly to the role of the ocean and sea ice in Arctic warming. This plan will allow them to develop new skills and knowledge, and to produce results that will be published in the scientific literature and presented at scientific conferences.
CCS division has a staffing focus area around Diversity, Inclusion, Belonging and Equity. Individuals from underrepresented groups are strongly encouraged to apply.
What You Need
Minimum Job Requirements:
Expertise in some or all of the following areas:
- High-latitude climate science
- Large-scale physical oceanography
- Numerical climate modeling
- Reduced-order climate modeling
- Climate model analysis
- Climate feedback analysis
Demonstrated effective interpersonal skills, as well as excellent oral and written communications skills. Demonstrated ability to publish in the relevant academic journals.
Demonstrated ability to analyze and provide creative solutions for technically complex problems.
Experience with programming languages such as Python and Fortran for scientific applications.
Education/Experience: Ph.D. in physical oceanography, climate science, or similar field.
- Interest to work in an interdisciplinary team of scientists.
Work Location: The work location for this position is onsite and located in Los Alamos, NM. All work locations are at the discretion of management.
Note to Applicants:
- Contact Wilbert Weijer (email@example.com) and/or Milena Veneziani (firstname.lastname@example.org) for more details about this position.
- Review of applications will begin on August 7 and will continue until the position is filled.
- To receive full consideration for the position please submit a complete application online through the Los Alamos National Laboratory jobs portal. A complete application includes a current Curriculum Vitae, a statement of research interests, contact information for three references, and a comprehensive cover letter that addresses the key requirements of the position.
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 (PTO 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.
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. Although New Mexico and other states have legalized the use of marijuana, use and possession of marijuana remain illegal under federal law. A positive drug test for marijuana will result in termination of employment, even if the use was pre-offer.
Internal Applicants: Regular appointment employees who have served the required period of continuous service in their current position are eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the required period of continuous service, they may only apply for Laboratory jobs with the documented approval of their Division Leader. Please refer to Policy 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 email@example.com or call 1-505-665-4444 option 1.Employment StatusFull TimeAppointment TypePostdocPostdoc
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