Job Listings

We invite qualified applicants to apply for a postdoctoral scholar
position within the lab of Professor Ralph Keeling at the Scripps
Institution of Oceanography (SIO), to conduct research on atmospheric O2
and CO2 cycling. The position focuses on the interpretation of
high-resolution time series of atmospheric O2 and CO2 to produce new
insights into regional- to global-scale cycling of O2 and CO2. The
successful applicant will participate in a Schmidt Ocean Sciences
Virtual Institute, InMOS (Integration of Models and Observations Across
Scales), an international team spanning eleven institutions, focused on
producing new syntheses of the ocean storage and cycling of carbon,
oxygen, and heat. Important goals of the project include developing
modeling tools for determining regional air-sea fluxes of O2 and CO2
from high resolution atmospheric timeseries and using these flux
estimates to improve understanding of ocean biogeochemical processes.
The project includes a particular focus on interpreting new measurements
to be conducted at Cape Point South Africa. The position will be based
at the Scripps Institution of Oceanography with the possibility of
travel occasionally to South Africa to assist with field support.

Candidates must have a PhD in earth sciences, physics, math, or a
closely related discipline, or equivalent experience, have experience
with computing, data analysis, and with working with observational data.
The ideal candidate would have experience and knowledge of marine
biogeochemistry, atmospheric tracer modeling, and geochemical or
geophysical measurement techniques. The candidate is expected to work
closely with members of the Keeling lab who bring skills in atmospheric
measurements and modeling, with other InMOS team members who bring in
skills ocean modeling and observations. Candidates are required to have
completed a Ph.D. prior to starting the appointment.

The fulltime, onsite position is in La Jolla, CA and is now open, and
includes a minimum stipend of $69,209 plus benefits (higher for
applicants with postdoc experience). The position is a full-time
appointment for one year, with the potential for renewal up to 4 years.
Appointment durations vary depending on the length of the research
project. Total duration of an individual’s postdoctoral service may not
exceed five years, including postdoctoral service at other institutions.
Appointees are eligible to participate in the University of California
Postdoctoral Scholar Benefits Plan.

Applications will be accepted until the position is filled. Please
e-mail a curriculum vitae with publications list, a statement of
research interests and contact information for two references to Eric
Morgan at ejmorgan@ucsd.edu

UC San Diego is an Equal Employment Opportunity (EEO) employer and
welcomes all qualified applicants. Applicants will receive fair and
impartial consideration without regard to race, sex, color, religion,
national origin, age, disability, veteran status, genetic data, or other
legally protected status.
 

NIWA is a dynamic research organisation, with expertise central to New Zealand's future economic and environmental prosperity. We are New Zealand's leading natural resources and environmental science services provider to public and private sector customers.

We are looking for a meteorologist to join our busy team and strengthen our capability to meet the increase in demand from the public and industry for our short, medium and long-term weather, climate and environmental forecasting services.

The key purpose of this position is to contribute to the delivery of our meteorological and environmental forecasting services by preparing regular forecasts and communicating these through a range of media, including print, digital, radio and television. A major emphasis will be on contributing to the development, communication, marketing and deployment of environmental forecasting services and products for weather-sensitive clients, particularly in government, primary industry and other commercial sectors. Due to the variety of the services we provide, the position is likely to involve rostered duties to cover our weekday, weekend and early morning/late evening delivery requirements.

To be successful in this position you will have exceptional communication skills, advanced knowledge of the latest meteorology, climate and environmental science forecasting techniques, extensive multi-channel media delivery experience, along with the ability to accurately analyse data and models to create both weather forecasts and climate outlooks. As an experienced professional in this field, you will have a bachelor's degree in mathematics, physics or atmospheric science, and/or equivalent experience in a relevant aspect of engineering or environmental science, along with a qualification and/or training in weather forecasting and media presenting. In addition, candidates with any of the following skills and experience will have an advantage:

•    a comprehensive knowledge of New Zealand meteorology and climate (including atmosphere, hydrosphere and marine environments) and climate outlook science;
•    experience in computer programming languages such as Python or R, particularly in relation to the parsing and analysis of meteorological or climatological datasets; and
•    a strong background in sub-seasonal and seasonal forecasting.

The preferred location for this position is NIWA's head office in Auckland. This is an exciting opportunity to join an internationally renowned environmental research and forecasting organisation and deliver impact for New Zealand. We are offering a competitive remuneration package, a vibrant central city location, free car parking and the opportunity to work as part of a progressive and highly innovative team.

For a position description and to apply please see: www.niwa.co.nz/careers
Applications close: Sunday 24 November 2024, 11:55 pm 
 

Tropical methane emissions and the Global Methane Budget

Stanford Earth Sciences (the Jackson lab; https://jacksonlab.stanford.edu) in the Stanford Doerr School of Sustainability is hiring a full-time postdoctoral scientist to contribute to a project quantifying tropical methane fluxes in Brazil, Peru, French Guiana, and Botswana as part of the FLUXNET-CH4 network we recently established (https://fluxnet.org/data/fluxnet-ch4-community-product/). The postdoc will contribute to field and flux-tower measurements in tropical forests and wetlands with local partners and is likely to assist with regional synthesis, analysis, and scaling of methane fluxes across sites. The project contributes to the Global Methane Budget of the Global Carbon Project (https://www.globalcarbonproject.org/methanebudget/).
In addition to candidates with flux experience, candidates with expertise measuring methane sources or sinks in the field, ideally in tropical systems, are also desired. The project provides opportunities for collaboration, including with Alison Hoyt’s lab at Stanford and Sara Knox’s lab at McGill University, and will have some international travel. Send a CV, statement of research, and the names of three references to: rob.jackson@stanford.edu and colinfinnegan@stanford.edu.
Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford welcomes applications from all who would bring additional dimensions to the University’s research, teaching and clinical missions.

Please email with interest as soon as possible. Applications are already being reviewed, and we hope to fill this position in the next few weeks.
 

The Cooperative Institute for Research in Environmental Sciences (CIRES) at the University of Colorado at Boulder (CU Boulder) encourages applications for a Post-Doctoral Associate in Climate Applications to Vector-Borne Disease in Boulder, Colorado. The successful candidate will work with colleagues engaged in researching the impacts of weather/climate on West Nile virus (WNV) in the United States. Recent research has shown that, at large spatial scales, incorporating relationships derived from historical climate data and neuroinvasive WNV case data into predictive models have the potential to improve forecasts of annual WNV disease counts.

We are looking to expand on that research to improve those relationships and see if such WNV forecasts can be made in real time, with imperfect seasonal prediction models. Key colleagues have strong backgrounds in atmospheric science, and external research partners have strong backgrounds in public health and epidemiology. We have a highly collaborative work culture, and we are looking for a candidate who actively subscribes to this philosophy. Successful candidates will demonstrate competency and sensitivity in working with people from diverse cultures and backgrounds.

The University of Colorado Boulder is committed to building a culturally diverse community of faculty, staff, and students dedicated to contributing to an inclusive campus environment. We are an Equal Opportunity employer, including veterans and individuals with disabilities.

What Your Key Responsibilities Will Be

• Work with gridded datasets to establish relationships between climate and WNV. (40%)
• Apply established relationships to climate forecast models (lead times out to 1 year) to provide (pseudo) real-time WNV forecasts. (35%)
• Investigate how WNV in the United States might change in a changing climate (10%)
• Collaborate with subject matter experts in both climate and public health to maintain connections between these two communities. (7%)
• Present results in webinars, conferences, and peer-reviewed literature. (5%)
• Performs other relevant duties as necessary. (3%)

What We Require

• A Ph.D. in climate-related science, or in public health/epidemiology (with substantial experience in applying climate data), or a similar relevant field of study is required.
• Minimum experience: none beyond PhD is required.

The Department of Atmospheric Sciences, in the College of Aerospace Sciences (Grand Forks, ND), is seeking applicants with a nationally/internationally-recognized research portfolio to fill a tenure track or tenured Open Rank Professor position.  This is a 9-month full time benefitted position that begins 16 August 2025. 

The successful candidate will be responsible for teaching up to 3 courses per 9-mo period, maintaining a nationally/internationally recognized research portfolio, and providing service to the department, college, university, and national/international community. Includes academic advising.  

JOB DESCRIPTION AND POSITION REQUIREMENTS

Minimum Requirements
It is required that the candidates have a Ph.D. in Atmospheric Sciences or closely related field and pass a criminal history background check.   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the US and to complete the required employment eligibility verification form upon hire.  

Preferred Qualifications
Successful applicants will preferably be a professor (any rank) or postdoctoral fellow at a College/University or are an atmospheric scientist at a national laboratory. They will have demonstrated subject matter expertise in one or more of the following areas: aviation meteorology, boundary-layer meteorology, climate dynamics and modeling, cloud physics and atmospheric chemistry, energy sustainability and renewable energy, mesoscale meteorology and severe storms, stratospheric research, social science, and/or atmospheric science applications involving machine learning or artificial intelligence.  This expertise would be demonstrated through prior teaching assignments and/or published peer-reviewed journal articles and books.  Ideal applicants will also show evidence of the ability to obtain consistent external research funding.  Experience in project management as PI or co-I, and leadership experience are also preferred.  

Required Competencies
Successful applicants will have the ability to teach, inspire, and mentor students; show enthusiasm for teaching and research; have strong writing and organizational skills; have effective interpersonal skills, including the ability to collaborate effectively with faculty, staff and students; and will have an appreciation for or experience with diverse constituencies. Research would ideally align with UND Grand Challenge goals (such as autonomous systems, energy sustainability, or big data).

How to Apply
For full consideration, applications must be received by Friday December 6, 2024. Applications must include the following materials:  cover letter stating the applicant’s fit for the position in each of the areas mentioned above (minimum requirements, preferred qualifications, & required competencies), curriculum vitae, research statement, teaching statement, and the names and contact info of at least three professional references.  Please apply via this online web portal:  https://careers.und.edu/jobs/search?page=1&query=Atmospheric

About us
The Department of Atmospheric Sciences is part of the John D. Odegard School of Aerospace Sciences at UND and offers degree programs leading to the B.S., M.S., and Ph.D. in Atmospheric Sciences.  UND is a UCAR Member institution. Spring 2024 enrollments included 128 undergraduate students (58 majors and 70 minors) and 31 graduate students.  Teaching and research are carried out by 12 faculty members; current areas of faculty expertise are listed at https://aero.und.edu/atmos/we-offer/index.html. Facilities include a 5-cm wavelength dual-polarization Doppler weather radar, two instrumented ground research sites, and use of a Cessna Citation research aircraft in collaboration with a local research firm.  Our faculty make use of UND's high performance computing (HPC) resources as well as those at NCAR and various NSF/ACCESS locations.  Cooperative programs are ongoing with the local NWS Weather Forecast Office in Grand Forks.  Additional information can be found on our web site: http://atmos.und.edu.  We think living and working in Greater Grand Forks is Way Cooler and hope that you consider joining us!

The Department of Atmospheric and Oceanic Science at the University of Maryland (UMD) invites applications for a tenure-track position at the Assistant or Associate Professor level with expertise in experimental atmospheric chemistry. The appointee will complement and expand existing disciplines such as aerosols, air quality, chemistry and climate interactions, convection, greenhouse gas flux, and environmental justice and will collaborate in numerical simulations.

Our department faculty engage in teaching, research, and service to the University, state, and the broader community. We seek a colleague who will expand a vibrant, externally funded research program within the department. The experimental atmospheric chemistry ecosystem includes a wet lab, instrumented vehicles, research aircraft use, and instrumented research/monitoring sites. The selected candidate will teach at the graduate and undergraduate levels, mentor undergraduate and graduate (M.S. and Ph.D.) students, and provide intellectual leadership in curriculum improvement and developing advanced courses. Our department’s close relationship with the Maryland Department of the Environment (MDE), National Institute of Standards and Technology (NIST), and UMD’s Earth System Science Interdisciplinary Center (ESSIC) provides faculty and students a ready infrastructure for multidisciplinary research with NASA, NOAA, and UMD’s Departments of Geology and Geographical Sciences as well as the Department of Chemistry and Biochemistry. Additionally, university-wide initiatives strengthening and growing UMD's climate portfolio through Grand Challenge grants and new investments advancing multidisciplinary research should provide the successful applicant with a nurturing environment to build a world-class research program.

Our strong preference is to recruit an Assistant Professor, but the Associate Rank will be considered for exceptional candidates. Minimum qualifications include earned Ph.D. in atmospheric science, chemistry, or closely related field. Applicants should submit the following: (1) a Cover Letter describing their interest in the position (1 page); (2) Curriculum Vitae that includes a list of all refereed publications; (3) Teaching Statement (maximum 2 pages); (4) Research Statement (maximum 3 pages); and (5) Names and contact information of three persons who can provide letters of reference.

Discussion of specific efforts to support diverse populations in STEM within the research and teaching statements is strongly encouraged.

The Department of Atmospheric and Oceanic Science encourages applications from women, underrepresented minorities, and those who can contribute to a climate of inclusivity. Please visit https://aosc.umd.edu/internal/committees/adic to learn more about the department's DEI efforts.

The position will remain open until filled, with the best consideration given to applications submitted by December 3, 2024. Please direct position related questions to Genevieve Cooper at gcooper@umd.edu.

To Apply: https://ejobs.umd.edu/postings/122843
 

The University of Maryland, College Park, an equal opportunity/affirmative action employer, complies with all applicable federal and state laws and regulations regarding nondiscrimination and affirmative action; all qualified applicants will receive consideration for employment. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, religion, sex, national origin, physical or mental disability, protected veteran status, age, gender identity or expression, sexual orientation, creed, marital status, political affiliation, personal appearance, or on the basis of rights secured by the First amendment, in all aspects of employment, educational programs and activities, and admissions.
 

Job position requirements (skills/languages/required experience)

Skills: science background preferable; expertise and experience with implementing, maintaining, and managing gas analyzers for GHG such as picarros, licor, los gatos; knowledge in atmospheric chemistry; experience with atmospheric models prefeable.

Description

The postdoctoral fellow will be working alongside the URBAG research team (visit www.urbag.eu to learn more about our research and the team) and will be responsible for the GHG monitoring network that has recently been developed (visit https://urbag.eu/ghg/) and for developing a line of research that includes several of the following objectives, to be further defined by the candidate:

- Explore how various land uses of the urban region such as agriculture, parks, urban forest, and built areas affect the budget of CO2 in the city, while understanding the role of atmospheric processes in the transport and distribution of CO2.

- Develop services, tools, and datasets based on the needs of cities, for processing and analyzing the observation data to determine efficacy of GHG reduction strategies; raising awareness and engaging citizens.

- Collaborate with other SOMMA centers in the exploitation of this data, such as BSC, IS Global, CREAF and others with whom we have already established collaboration for the use of this data.

- Provide an exemplary urban GHG monitoring system in Europe and contribute to the European ambitious climate strategy to meet the targets of the Paris Agreement.

- Validate GHGs inventory accounts determined by the city administration as well as urban GHGs modeling efforts and to create repositories of atmospheric C distribution in cities.

- Intervene with schools in the city of Barcelona, so that climate culture forms part of the schools' curricula and transversal projects.

- supporting the core Maria de Maeztu challenges of ICTA (oceanic and land-use systems, cities, production and consumption patterns, and transformative policies) with pertinent data for their projects; i.e., modeling GHG changes due to "transformative policies", analyzing land-atmosphere CO2 exchange for urban land uses for "cities").

Furthermore, the candidate will be responsible for carrying out the tasks of the recently awarded EU project GASPOF " Pervasive gas sensing using optical fibers, as part of the communication network of the future", in which he/she will be dedicated to do the following tasks:

task 1) This task will focus on identifying and categorising stakeholder groups related to GASPOF developments and collecting their requirements. Focus will be placed on the GASPOF case studies’ application domains (pervasive greenhouse gases monitoring, indoor air quality monitoring, volcanic activity monitoring, pipelines monitoring).

task 2) Acquire an understanding of how the different system components will be tested and validated. This will require a definition of validation procedures which will include concentrations, frequency and method for sampling, golden standard techniques used for comparisons etc.

task 3) define the technical requirements/targets for the GASPOF system components. The technical specification requirements will cover: a) the spectroscopic setups and target performance indicators, b) the optical sources to use and target wavelengths for the sensing operations, c) the requirements for the operation of the telecommunications infrastructure in combination with the sensing elements, d) the integrated versions of the prototypes (including sub-modules such as the processing units).

Eligibility Criteria

PhD in environmental science, preferably atmospheric chemistry, physics, chemistry, modeling; Proficient in python, useful to have skills in fortran;  Experience with atmospheric models is preferable, especially biosphere, chemical transport models and urban canopy models. Such as WRF, WRF-Chem, SUES, VPRM, Hysplit; English – C1; Experience: science background preferable; expertise and experience with implementing, maintaining, and managing gas analyzers for GHG such as picarros, licor, los gatos; knowledge in atmospheric chemistry; experience with atmospheric models preferable

The Observatoire des Sciences de l'Univers de Rennes (OSUR, https://osur.univ-rennes.fr/, Université de Rennes) is recruiting a qualified research engineer in the field of micrometeorology, environmental measurements in the field and chemical analysis of samples in the laboratory. The successful candidate will join the EcoChim environmental analysis platform team and form part of the network of researchers working for the National Peatland Observation Service (SNO Tourbières, https://www.sno-tourbieres.cnrs.fr/). The person recruited will work at the Fedrun (Parc Natural Régional de Brière) and La Sangsurière peatland sites and occasionally at the Sèves peatland (Parc Naturel régional des Marais du Cotentin et du Bessin, MCB). She/he will have operational responsibility for research activities at these sites in collaboration with local staff: helping to install and maintain equipment, managing sampling and processing and exploiting data.
Ultimately, the aim is to include the Fedrun and La Sangsurière sites in the next National Peatland Observation Service certification by the Centre National de la Recherche Scientifque (CNRS, 2026). The National Peatland Observation Service aims to understand the exchange of energy, mass and greenhouse gases between ecosystems and the atmosphere, as well as the ecology, biogeochemistry and management of temperate peatlands. These sites are part of peat complexes containing the largest carbon stocks in France. Their response to anthropogenic disturbances (climate, pollution) is still poorly understood and only long-term observations will fill this gap. Furthermore, peatlands have been shaped by diverse and sometimes contradictory agricultural and cultural practices. Producing scientific data on whether these systems act as sinks or sources of greenhouse gases, and on their trophic status, will help to clarify the debates with quantified measurements and thus develop research-action approach.

Main activities

The main tasks of the job include, for the two study stations at Fedrun (PNR Brière) and La Sangsurière (PNR MCB):
1) management of the stations measuring greenhouse gas fluxes and meteorological variables,
2) management of biogeochemical analyses (peat, water).
Daily tasks include:
- field work related to sensor and data logger maintenance, troubleshooting and calibration
- office work relating to programming, data processing (transfer, quality control, calculation of fluxes, analysis of the determinants of flux variability, establishment of an annual carbon balance, data processing and integration in database) and interpretation of results.
- organising and participating in sampling campaigns
- analysing peat and water samples
- promoting the results in the form of articles and scientific communication to a wide audience.
The person recruited will work with the PNR des Marais du Cotentin et du Bessin teams to draw up a sampling protocol for the Sèves peatland and analyse the data.

Skills required (knowledge, know-how and interpersonal skills)

-    PhD in functional ecology, ecophysiology, micrometeorology, biogeochemistry.
-    Knowledge of environmental measurement sensors, meteorological sensors, gas analysers, data loggers and associated programming languages.
-    Experience of maintaining and repairing scientific instruments in the laboratory or in the field.
-    A strong taste and aptitude for field work.
-    Experience and proficiency in one or more software languages such as R or Python.

Special working conditions (supervision/travel/time pressure, etc.)

The person recruited will be required to travel from Rennes to the sites on a regular basis (1 to 2 assignments per month), including the need to move around and carry equipment in wet and marshy environments.
A valid driving licence is essential.
The position is for 2 years. The person recruited will be based at OSUR on the Beaulieu campus in Rennes.

Recruitment procedures

-    Send an application including a CV and covering letter describing how this position fits in with the applicant's career plans to sebastien.gogo@univ-rennes.fr and christophe.flechard@inrae.fr.
-    Applications received by 31 January 2025, orals from 10 to 14 February 2025 (online interview possible), final decision on 17 February 2025, recruitment at the beginning of March 2025.

 

Postdoctoral Fellow at the University of Illinois at Urbana-Champaign: Maritime to Inland Transitions Towards ENvironments for Convection Initiation (MITTEN-CI)

A Postdoctoral Fellow position is available to join a university institute-based research group focused on analyzing observational data and improving understanding of the evolution of the lower atmosphere in response to differing land/water areas traversed by the air in the Great Lakes region. Prospective candidates must have a strong background in atmospheric science, as well as extensive programming and data visualization skills.

The MITTEN-CI (Maritime to Inland Transitions Towards ENvironments for Convection Initiation) field project, funded by the National Science Foundation, was a multi-university effort in southwestern Lower Michigan to understand boundary layer evolution, static stability changes, lake breezes, entrainment and convective initiation during onshore flow in southwestern Lower Michigan.

The focus of this position will be to conduct analyses of boundary layer evolution measured by University of Illinois instrument platforms - six towers with thermodynamic flux instrumentation, a GRAW sounding system, and a Halo scanning Doppler Lidar measuring backscatter, Doppler velocity and velocity variance. Measurements by instrumentation from other universities in this closely-collaborative effort, including Doppler radars, low-altitude radiosondes, and mobile mesonets, are also available for analysis. QA/QC and preparation of observations for long-term storage at UCAR EOL will be conducted, as needed.

Opportunities for writing proposals and journal articles, as well as a potential wide range of other research experiences, are available.

Qualifications

Required: PhD in atmospheric science, engineering, computer science, or a related field. Demonstrated record of innovative research in atmospheric sciences published in the peer-reviewed journal literature. Strong data analysis and visualization skills. In addition to scientists with experience collecting and analyzing observations, applications from scientists with appropriate numerical modeling efforts are welcome.

Preferred: Expertise in boundary layer evolution and its interactions with deeper convective processes. Knowledge of Great Lakes climatic conditions. Data analysis and instrumentation experience preferred.

The Cooperative Institute for Research in the Atmosphere (CIRA) at Colorado State University (CSU) seeks to fill 2 internship positions to start as early as January 2025 as part of a joint CIRA and National Oceanic and Atmospheric Administration (NOAA) effort to increase expertise in the fields of data assimilation, machine learning, and potential synergy of the two. The internship positions involve both theoretical and practical training elements. These interns will be based in NOAA’s Global Systems Laboratory (GSL), located at the David Skaggs Research Center (DSRC) in Boulder, Colorado, and they will report to CIRA’s Data Assimilation (DA) team lead at CIRA in Fort Collins and they will be co-mentored by members of CIRA’s Machine Learning team at CIRA in Fort Collins and NOAA/GSL technical project advisors in Boulder. These internship positions are limited 1-year appointments with a 1-year extension possible, contingent upon satisfactory performance and available funding.

For the initial core training during the first 3 months of the internship, the interns will commute to CIRA in Fort Collins, Colorado, located on the CSU Foothills Campus (approximately 50 miles north of DSRC, or 1.25 hour drive time) two times per week. The remaining days will be spent at the DSRC becoming acquainted with their projects and setting up accounts and access to necessary datasets. Interns located 60 miles or further from CIRA in Fort Collins will receive reimbursement of roundtrip mileage for the twice weekly commutes to CIRA in Fort Collins.

During the core training period, the interns will learn how to use several models and cutting-edge data assimilation techniques used operationally at NOAA and machine learning methods that can support these DA techniques. Specifically, both interns will learn the basic theory and applications of data assimilation and machine learning methods through supervised instruction and hands-on practice. Both interns will also receive specific training tailored to their assigned project. The interns will then apply their knowledge to a relevant applied topic assigned to them by NOAA/GSL technical project advisors. CIRA trainers/mentors at CIRA Fort Collins will continue to be available during the remaining 9 months of the internship to provide assistance and guidance as needed to assure progress on the research. A review of progress at the 9 month mark will be used to determine a possible 1 year extension of the internship, contingent on satisfactory progress and available continuation of funding.

Required Job Qualifications

• Master’s Degree in Meteorology, Atmospheric Science, or closely related fields, such as Applied Mathematics. Degree must be conferred prior to the employment start date.
• Experience with Fortran 90;
• Ability to travel between place of residence and CIRA in Fort Collins and DSRC in Boulder twice weekly for the first 3 months of the internship;
• Ability to pass a National Agency Check with Inquiries (NACI) federal background check and receive a NOAA Common Access Card (CAC) ID badge;
• Must be a citizen of the United States or Lawful Permanent Resident with a physical USCIS “Green Card.”

Preferred Qualifications

• Interest in NOAA-focused research atmospheric science and numerical weather prediction topics;
• Knowledge of machine learning methods;
• Knowledge of numerical analysis methods;
• Knowledge of numerical modeling;
• Experience with command line interfaces;
• Experience with high-end computing;
• Experience with scientific programming languages like Python.