Science jobs refer to employment opportunities within the fields of science, encompassing a wide range of disciplines such as chemistry, physics, biology, and environmental science, among others. These jobs are characterized by their focus on research, data analysis, and application of the scientific method to investigate natural phenomena or to develop new technologies. Individuals in science jobs often work in laboratories, universities, research institutions, or within the private sector. They are crucial for the advancement of knowledge, innovation, and the practical application of scientific discoveries to improve various aspects of life and solve complex problems.
Science Jobs refer to employment opportunities within the various fields of science, ranging from entry-level positions to advanced research and academic roles. Key features of these jobs often include conducting experiments, data analysis, problem-solving, and innovation in sectors like biology, chemistry, physics, and environmental science. Science Jobs demand a strong educational background and typically offer the potential for contributing to technological advancements and understanding of the natural world. These positions are pivotal in driving scientific progress and can be found in laboratories, universities, and industry settings.
Science Jobs are specialized career paths within the field of science that encompass a wide range of disciplines such as biology, chemistry, physics, environmental science, and more. These jobs often require a strong educational foundation and specialized training. Key features of science jobs include a focus on research and development, data analysis, and the practical application of scientific knowledge to solve real-world problems. Additionally, professionals in science jobs are typically engaged in expanding the frontiers of scientific understanding and contributing to technological and medical advancements. These roles can be found in academia, government agencies, private sector research labs, and industrial settings.
Science Jobs refers to a category of employment that specializes in the field of science, encompassing a diverse range of professions including researchers, laboratory technicians, science educators, and many others engaged in scientific disciplines. These jobs are characterized by their focus on inquiry, exploration, and the application of scientific methods to understand the natural world. They often require a strong educational background in science, critical thinking, problem-solving skills, and sometimes, experience with specialized equipment or software. In today's world, Science Jobs are crucial for innovation, technological advancement, and addressing complex challenges in healthcare, environment, and industry.
Science Jobs refer to employment opportunities within the various fields of science, such as biology, chemistry, physics, and environmental science. These positions often require a strong educational background in their respective disciplines and can range from academic research and teaching roles to industry-based positions in pharmaceuticals, technology, and more. Unique features of Science Jobs include a focus on innovation, evidence-based analysis, and the exploration of the natural world. They contribute significantly to technological advancements and the betterment of society through scientific discovery and application.
which is the Unified Forecast System's (UFS) hurricane application, providing reliable, robust, and skillful model forecasts for tropical cyclones (TCs). The work location is at the NOAA Center for Weather and Climate Prediction (NCWCP) in College Park, MD.
Responsibilities The candidate will perform the job duties in a high-quality, independent, and collaborative way, assisting in managing projects and developing and applying innovative methods for the primary work areas. The candidate will work with EMC scientists and external collaborators to develop and evaluate the current and future operational hurricane forecast systems, as well as to design, develop and evaluate HAFS ensemble
analysis and forecast for downstream applications. The candidate will work with advanced UFS infrastructure and multi-scale modeling framework, improving hurricane specific physics, data assimilation, dynamics, and high-resolution telescoping and moving nest techniques.
Detailed responsibilities will include: Design, develop, test and evaluate the HAFS based ensemble forecast system. Optimize hurricane ensemble perturbations and improve ensemble spread. Find optimal number of HAFS ensemble members and develop probabilistic forecast products. Conduct HAFS ensemble simulations to provide atmospheric forcing for downstream applications. Conduct pre-implementation tests for annual experimental
and operational hurricane model upgrades. Develop advanced scripts for flexible end-to-end system integration and automation.
Qualifications A Master's Degree or higher in atmospheric sciences or meteorology, oceanic, mathematics, or related physical science with at least 2 years of experience in the area of hurricane and tropical cyclone (TC) modeling. Candidates must be a U. S. Citizen or Green Card Holder to qualify. Demonstrated knowledge, skills, and abilities in the following areas: Advanced knowledge of tropical meteorology and experience in developing hurricane numerical weather prediction (NWP) systems for operational implementation. Experience/knowledge of hurricane model evaluation and verification.
Excellent knowledge and skills of modern programming languages and object-oriented languages, such as FORTRAN90 and Python. Skills and knowledge of the High Performing Computing environment. Proficient with modern software development practices and version control software. Demonstrated skill in communicating effectively with scientists of diverse backgrounds on technical details of the work plan and present results accurately and clearly in both oral and written form. Ability to work independently on complex problems in a team and fast-paced environment and demonstrated skill in performing tasks requiring organization and attention to detail.
Desired Skills Familiarity with operational NWP and/or an operational forecasting environment. Experience with UFS applications and knowledge of earth system modeling. Experience in high-resolution model development in various infrastructures (ESMF, FMS, CCPP, etc. ). Familiarity with agile software development practices. Axiom offers competitive compensation packages including comprehensive medical/dental/life insurance and matching 401(k) contribution. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant.
However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.
41 CFR 60-1.35(c) Job Posted by Applicant Pro
of onsite and telework each week will likely be put in place in the coming months. Position Summary: The individual in this position will be a member of the satellite Sea-surface Salinity (SSS) Science Team, responsible for the development of SSS applications employing observations from ESA's SMOS mission and NASA's SMAP mission Primary Duties: Develop an approach for reconciling high-latitude satellite skin salinity observations with near-surface bulk salinity to enable assimilation of high-latitude satellite SSS observations Exploring/develop assimilation of satellite altimetry observations for improved model representation of thermohaline circulation and ocean heat content Characterize the
freeze/melt temperature for sea ice as a direct function of ocean surface water salinity; and supporting marine ecosystem backssments and modeling efforts through the exploitation of satellite SSS observations Required Education/Experience/Skills: Ph.
D. in a quantit ative field of research (Physics, Math , Stat istics, Remote Sensing , Oceanography, Meteorology) completed by date of hire Solid quantitative educational background (fundamental Physics, Math, Statistics ) Strong scientific analytical skills with detail-oriented working style Proficiency with computational programming (Fortran, MATLAB, IDL, Python, etc. ) and scripting (Unix/Linux) Proven list of deliverables (peer-reviewed
publications, derived products, etc. ) W illingness and ability to conduct independent research (from problem definition to technical solution to documentation in peer-reviewed literature ) while being a team player Desired Qualifications: Experience with SS S retrieval algorithms and SSS data sets ; Experience with backssing salinity impacts and dependencies in geophysical processes and ecological systems, as well as SSS utility as a predictor for Earth-system processes; Familiarity with Artificial Intelligence/Machine Learning techniques; Proficiency with global data handling and quality control procedures; Familiarity with radiative tran sfer modeling, particularly for the L band.
Selected applicants will be subject to a government background investigation. GST offers competitive salaries; vacation, sick, and holiday leave; major medical, dental, life, long-term and short-term disability insurance; 401K retirement plan; tuition assistance; and opportunities for employee career growth and development. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, interaction, national origin, disability, veterans' status, interactionual orientation and gender identity. GST is an Equal Opportunity/Affirmative Action Employer.
and computing for new Human Domain applied research and development capabilities. ARLIS seeks to hire an Artificial Intelligence (AI) / Machine Learning (ML) Scientist. Exceptional candidates in all areas related to the ARLIS’s current research trajectories will be given serious consideration, particularly those with experience in multiple areas.
As an AI/ML Scientist, you will be part of up to two or three project teams, and your activities may include: Seeking practical AI/ML-based solutions built on technologies including natural language processing and translation, knowledge representation and reasoning with evidence, learning, automated ontology/taxonomy creation, or 3D synthetic
data generation and refinement. Utilizing statistical analysis, unsupervised machine learning, supervised machine learning, and deep learning, as needed. Building models and simulations to describe data, predict events, and inform a course of action.
Supporting test and evaluation as well as validation and verification efforts, by developing a “test harness” to support systematic evaluation of machine learning frameworks using evaluation data sets. Strengthening the interdisciplinary and sociotechnical considerations being applied to the design, development, test, and evaluation of human-machine interfaces (to include augmented and virtual reality (AR/VR)), human-systems integration,
and augmentation of human performance. Apply sound engineering and computer science principles to design, build, and test systems in support of multidisciplinary research projects Collaborate closely as a member of interdisciplinary research teams Develop and understand research goals Identify and define concrete machine learning tasks and solutions when presented with broader customer needs Take initiative to solve problems, fix critical errors, and raise important issues to appropriate level Work as part of a multi-disciplinary opportunity capture team in a matrixed organization with a collaborative and a team-centric culture.
This is a full-time professional track ( PTK ) faculty position at the University of Maryland with benefits.
Salary is dependent on experience, qualifications, and hiring level. The preferred start date is as soon as possible. For more details: jobs-search. org/architecture-construction_college-park-c434142/artificial-intelligencemachine-learning-scientist-security-clearance-required-college-park_i1971039417
implementation, test, documentation, and maintenance of socio-technical solutions that provide highly impactful capabilities for the Department of Defense and Intelligence Community. The Natural Language Processing and Data Scientist’s responsibilities include: Developing NLP systems according to user and sponsor requirements.
Synthesizing and summarizing the state of the art in NLP approaches related to complex datasets. Adapting AI and Machine learning algorithms to process textual data sets. Working with human annotators, subject matter experts, and annotation software tools to develop bespoke NLP capabilities. Finding and implement the right algorithms and tools for NLP tasks. Use
effective text representations to transform natural language into useful features. Creating custom NLP and data science models from scratch using the integrated data sources.
Designing and building custom NLP and data science models based on large datasets. Creating new data processing pipelines and various data science processes including data preparation, feature selection, training, classification, and deployment workflows. Training the developed model and run evaluation experiments. Working closely with user needs experts to develop NLP and AI/ML algorithms/tools for integration in software development. Developing written reports and briefings for stakeholders and customers. Minimum
Requirements: Education: Bachelor’s degree (or higher) in computational linguistics, data science, computer science, statistics, or related fields.
Experience: Three or more (3+) years of experience building custom data science models using machine learning. Four or more (4+) years of experience with Natural Language Processing and/or visualization tools such as R or Tableau. Three or more (3+) years of experience with Linux. Experience with statistics and statistical analysis of data. Experience with R, Python, SAS , MATLAB , or other programming languages Knowledge, Skills, and Abilities: Comfortable performing data acquisition, data cleansing and other data preparation tasks Excellent social skills.
The ability to work independently and collaboratively in a team environment. Excellent communication skills, both written and verbal Conditions of Employment: If selected, you must meet the requirements for access to classified information and will be subject to a government security clearance investigation that includes criminal and credit history checks, as well as verification of U. S. citizenship, birth, education, employment, and military history. Must also be able to obtain a TS/ SCI U. S. security clearance. Able to work on-site work from 3-5 days per week at the UMD / ARLIS building in College Park, MD.
The position does not support travel expenses from the employee’s lodging to the work site For more details: jobs-search. org/architecture-construction_college-park-c434142/natural-language-processing-and-data-scientist-security-clearance-required-college-park_i1969780793
earth system model including atmosphere, land, ocean, ice, wave, and aerosol components. UFS is configured for different operational and research applications which cover a variety of temporal and spatial scales. The work location is at the NOAA Center for Weather and Climate Prediction (NCWCP) in College Park, MD.
Six positions are immediately available for the following scientific areas. Stochastic Physics Radiative transfer Cumulus convection parameterization Surface and Planetary Boundary Layer Physics Atmospheric Composition Modeling AI/Client application for Improving Physics parameterization. Responsibilities The candidates will perform job duties both in an independent and collaborative
environment, applying innovative methods for the primary work areas. The successful candidates will work in the following areas: Maintain and improve the accuracy and efficiency of the parameterizations and models for various UFS applications.
Improve the coupling of physics parameterizations with earth system model components in the UFS. Transition from the community physics parameterizations advancements to NCEP operation, including code implementation and performance backssment in UFS applications. Collaborate with community developers to advance physics parameterizations for weather and climate modeling across scales. Qualifications We are seeking a highly qualified candidate for
the position, and the following qualifications are necessary for consideration: Education: A Master's degree or higher in atmospheric sciences, meteorology, geophysics, applied mathematics, or a related physical science field.
Required knowledge and skills: Advanced knowledge of physics principle pertinent to the selected subject and its parameterization for earth system modeling applications. Advanced skills and knowledge of modern programming languages and object-oriented languages, such as Fortran and Python; Proficient with modern software development practices, such as the Git Hub/Git version control software and environment; Experience working in a UNIX environment and familiarity with shell scripting languages and running complex jobs.
Demonstrated ability to work efficiently in a team environment and communicate effectively in both oral and written forms. Familiar with various scientific data formats like Nct CDF and GRIB2 and has experience analyzing large scientific datasets. Desired: Experience with operational NWP and/or an operational forecasting environment. Experience in model testing and evaluation and knowledge of verification principles Candidates must be a U. S. Citizen or Green Card Holder to qualify and must live in the US for 3-5 years prior to application (please indicate in your cover letter).
Axiom offers competitive compensation packages including comprehensive medical/dental/life insurance and matching 401(k) contribution. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.
41 CFR 60-1.35(c) Job Posted by Applicant Pro
UFS is a fully coupled earth system model including atmosphere, land, ocean, ice, wave, and aerosol components. UFS is configured for different operational and research applications which cover a variety of temporal and spatial scales. The work location is at the NOAA Center for Weather and Climate Prediction (NCWCP) in College Park, MD.
Responsibilities The candidate will perform job duties both in an independent and collaborative environment, applying innovative methods for the primary work areas. The candidate will work in the EMC Physics and Dynamics Division. The successful candidate will work in the following areas: Apply AI/ML techniques to improve the efficiency and accuracy of
physics parameterizations for various UFS applications. Apply AI/ML techniques to improve the coupling of the physics parameterizations with earth system model components in the UFS.
Transition from the community physics parameterization advancements in AI/ML domains to NCEP operation, including code implementation and performance backssment in UFS applications. Collaborate with community developers to advance AI/ML physics parameterizations for weather and climate modeling across scales. Qualifications We are seeking a highly qualified candidate for the position, and the following qualifications are necessary for consideration: Education: A Master's degree or higher in atmospheric sciences,
meteorology, geophysics, applied mathematics, or a related physical science field.
Required knowledge and skills: Advanced knowledge of AI/ML techniques and its applications in geophysical sciences. Advanced skills and knowledge of modern programming languages and object-oriented languages, such as Fortran and Python; Proficient with modern software development practices, such as the Git Hub/Git version control software and environment; Experience working in a UNIX environment and familiarity with shell scripting languages and running complex jobs. Demonstrated ability to work efficiently in a team environment and communicate effectively in both oral and written forms.
Familiar with various scientific data formats like Nct CDF and GRIB2 and has experience analyzing large scientific datasets. Desired: Experience with using AI/ML techniques to improve physics parameterizations in weather and climate models. Experience with operational NWP and/or an operational forecasting environment. Candidates must be a U. S. Citizen or Green Card Holder to qualify and must live in the US for 3-5 years prior to application Axiom offers competitive compensation packages including comprehensive medical/dental/life insurance and matching 401(k) contribution. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant.
However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.
41 CFR 60-1.35(c) Job Posted by Applicant Pro
of onsite and telework each week will likely be put in place in the coming months. The Ocean Surface Winds Project utilizes satellite remote-sensing data from current and past active and passive microwave sensors such as Quik SCAT, ASCAT, Scat Sat, CYGNSS, SSM/I, AMSR2, Sea Winds, TMI, GMI, SMAP and Wind SAT and plans for future sensors such as the Ocean Sat-3, EPS-SG/SCA and GOSAT-GW/AMSR3.
The project works closely with operational groups in NWS, NASA/JPL, EUMETSAT and the Navy, and utilizes near real-time Environmental Data Record (EDR) processing systems to develop, validate, produce and deliver environmental data products to these groups. Efforts will focus on the project's Ocean
Winds near real-time product processing and validation systems at STAR and the preparation and integration tasks for processing these data streams. The Ocean Surface Winds Project also maintains and operates two advanced aircraft radar systems that are routinely installed on the NOAA P-3 aircraft for hurricane and winter storm flights.
The data collected from these flights are utilized to advance the state of knowledge of the air-sea interactions in the extremes, validate and improve satellite observations, and test new remote sensing methodologies and technologies. Position Summary: The Ocean Surface Winds Support Scientist shall provide the scientific & engineering work to augment the
Ocean Surface Winds (OSW) Project's existing capabilities. The main objectives of this task are to develop, validate and improve satellite OSW products, and to develop and apply metrics that allow us to quantify the impacts of these data in operational short-term forecasts and warnings in the marine environment, and to improve utilization of these data by forecasters.
This position will involve working closely with the NWS, the NESDIS OSW Science Team and the external science community. Microwave sensors of interst include Quik SCAT, ASCAT, Scat Sat, CYGNSS, SSM/I, AMSR2, Sea Winds, TMI, GMI, SMAP and Wind SAT and multiple future sensors. Primary Duties: Support the satellite ocean winds team in the development, design and implementation of satellite ocean wind processing retrieval algorithms Support the satellite ocean winds team in the validation of satellite ocean surface wind products and utilization of these products in improving understanding of the air-sea interaction processes Support for the validation of High-quality satellite ocean surface wind satellite products is extremely important.
The candidate will work with, e. g. Oceansat-3, ASCAT GMF and AMSR2 data Support the satellite ocean winds team in quantifying the impacts of these data at NOAA • Depending on skillsets and interest, candidates may support flight deployments for hurricanes and winter storms Required Education/Experience/Skills: M.
S. degree in Atmospheric Science, Oceanography, other Physical Sciences, Physics, Astronomy, Engineering or Mathematics Specific experience or understanding of satellite active and/or passive microwave remote sensing of the ocean surface will be strongly preferred Ability to program in a modern language (C, C++, Python) and a good working knowledge of the Linux OS Understanding of GMF's, radiative transfer theory, orbit analyses, radar systems, microwave remote sensing is preferred.
Selected applicants will be subject to a government background investigation. GST offers competitive salaries; vacation, sick, and holiday leave; major medical, dental, life, long-term and short-term disability insurance; 401K retirement plan; tuition assistance; and opportunities for employee career growth and development. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, interaction, national origin, disability, veterans' status, interactionual orientation and gender identity. GST is an Equal Opportunity/Affirmative Action Employer.
work will involve the development, execution, testing, and evaluation of several components of the atmospheric data assimilation system in the context of numerical weather prediction. The work location is at the NOAA Center for Weather and Climate Prediction (NCWCP) in College Park, MD.
Responsibilities The candidate will perform the job duties in a collaborative environment, assisting developing and applying innovative methods for the primary work areas described below. The candidate will work with EMC scientists and external collaborators to develop and test atmospheric data assimilation components for use in the UFS. In particular, the candidate will focus on the evaluation of the
components of the Joint Effort for Data assimilation Integration (JEDI) project for use in global numerical weather prediction applications at NCEP. The successful candidate will work in the following areas: Assist in development, evaluation, testing, and transition of JEDI-based developments for replacement of current atmospheric assimilation infrastructure (GSI-based).
Develop and support atmospheric model interface within the JEDI infrastructure. Test and evaluate JEDI-based algorithm developments for use in future operational NWP applications. Assist in coordination of JEDI-related development activities from other EMC developers. Utilize JEDI infrastructure to explore data assimilation
research activities relevant to future transition-to-operations of operationally relevant data assimilation research.
Qualifications Demonstrated knowledge, skills and abilities in the following areas: Required: Knowledge of data assimilation techniques (variational-based and/or ensemble methods) Knowledge of the physical and mathematical basis of geophysical modeling (atmospheric and/or environmental) and experience running advanced numerical weather prediction (NWP) models Knowledge and experience of modern programming languages such as object-oriented FORTRAN, Python, and/or C++ Experience working in a UNIX environment with advanced scripting languages Good oral and written communication skills in English Desired: Experience in running numerical models on High Performing Computer (HPC) platforms using MPI, Open MP, Slurm, LSF, etc.
Experience with coupled earth system models. Knowledge of modern software engineering practices (requirements gathering, design, prototyping, version control, integration, testing, and documentation). Experience in model testing and evaluation and/or knowledge of verification principles. Experience in model development in various infrastructures like the Earth System Modeling Framework (ESMF) and NOAA Environmental Modeling System (NEMS) Axiom offers competitive compensation packages including comprehensive medical/dental/life insurance and matching 401(k) contribution.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.
41 CFR 60-1.35(c) Job Posted by Applicant Pro
work will involve the development, execution, testing, and evaluation of the direct assimilation of satellite radiances for use in operational environmental prediction capabilities at NCEP. The work location is at the NOAA Center for Weather and Climate Prediction (NCWCP) in College Park, MD.
Responsibilities The candidate will perform the job duties in a collaborative environment, assisting developing and applying innovative methods for the primary work areas described below. The candidate will work with EMC scientists and external collaborators to develop satellite radiance data assimilation capabilities for use in applications of the UFS, with emphasis on global numerical weather prediction
for the medium range weather application. In particular, the radiance assimilation component will utilize the Community Radiative Transfer Model (CRTM). Future assimilation related developments will leverage and contribute to the Joint Center for Satellite Data Assimilation, including the Joint Effort for Data assimilation Integration (JEDI) project.
The successful candidate will work in the following areas: Provide support for currently assimilated infrared and microwave radiances for operational application at NCEP. Develop new or enhance existing techniques for the improved assimilation of satellite radiance data Prepare, design, and advance components to enable the assimilation of
data for future satellite missions Design, setup, and execute impact backssment and pre-implementation testing to facilitate possible transition to operations Improve upon quality control, bias correction, and/or observation error specification to enhance the assimilation of satellite radiance data Qualifications Demonstrated knowledge, skills and abilities in the following areas: Required: Knowledge of data assimilation with focus on the satellite radiance assimilation for numerical weather prediction.
Knowledge of the physical and mathematical basis of geophysical modeling (atmospheric and/or environmental) and experience running advanced numerical weather prediction (NWP) models Advanced knowledge of radiative transfer and experience with radiative transfer modeling for data assimilation, such as the Community Radiative Transfer Model (CRTM) or Radiative Transfer for TOVS (RTTOV) Knowledge and experience of modern programming languages such as object-oriented FORTRAN, Python, and/or C++ Experience working in a UNIX environment with advanced scripting languages Good oral and written communication skills in English Desired: Experience in running numerical models on High Performing Computer (HPC) platforms using MPI, Open MP, Slurm, LSF, etc.
Familiarity with variational data assimilation techniques. Experience with coupled earth system models. Knowledge of modern software engineering practices (requirements gathering, design, prototyping, version control, integration, testing, and documentation). Axiom offers competitive compensation packages including comprehensive medical/dental/life insurance and matching 401(k) contribution. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant.
However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c) Job Posted by Applicant Pro
have been developing the Unified Forecast System (UFS) weather model, which is the fully coupled core model that drives the global, regional and hurricane applications for NWS. EMC is involved in all phases of scientific application development including data ingest, data assimilation, model integration and post processing.
What will you do EMC modeling systems use complex workflows to drive the systems from start to end. This position is to help modernize the workflows that drive the UFS applications. The computational scientist will work with a team of developers that include other engineers as well as the scientists to develop new tools that can be used with the workflows. Responsibilities
Develop modern configuration managers that can make workflows more flexible and provide easy ways to connect to standard scientific workflow systems like rocoto, ec Flow, and Cylc Incorporate modern software management techniques like unit testing, continuous integration, and other agile development techniques Develop utilities and tools that integrate into the workflows for specific applications Use modern code management principles (Git Flow and code repositories) Develop Graphical User Interfaces that allow scientists to easily set up experiments that run parts or the full workflow' Make the workflows modular so that experiments can be easily done with different earth system components coupled
together (atmosphere only, atmosphere - wave, etc.
) Develop and/or support modular capabilities in coupled system configurations, mediators and components as necessary Provide support to science teams developing different aspects of applications Maintain documentation standards that are utilized in community model development Qualifications Strong experience of working with shell scripting and Python Experience in working with HPC platforms (MPI, OPENMPI etc. ) Background in physical sciences and/or mathematics with numerical modeling experience Experience in working with and running earth system models. Modern software engineering practices (requirements gathering, design, prototyping, version control, integration, testing and documentation) Developing software in a UNIX environment Build and testing mechanisms (cmake and ctest) Knowledge of package managers like Spack, YUM etc.
Good communication skills in English Ability to work as part of a diverse team that includes software engineers and scientists across different agencies. Good understanding of modern languages like C++ and newer versions of Fortran (Fortran 95 and later) is a good plus. Axiom offers competitive compensation packages including comprehensive medical/dental/life insurance and matching 401(k) contribution.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.
41 CFR 60-1.35(c) Job Posted by Applicant Pro
