Los Alamos National Laboratory Hazard Prediction Modeling Post-Baccalaureate Student in Los Alamos, New Mexico
What You Will Do
We are seeking a team-oriented andhighly motivated student researcher with a bachelor’s degree to join our team. We are looking for a studious researcher with interest in computational fluid dynamics, numerical weather prediction, plume transport and dispersion, and/or fire spread modeling. As a member of our team you will work on R&D, testing, validation and application of our QUIC CBR plume modeling system and/or our QUIC fire spread models. Our current efforts focus on plume transport and dispersion in cities and mountainous terrain and fire spread in similar environments. As a Post-Bac Student you will partner with an experienced mentor who will provide guidance and feedback. Some opportunities for participation in meteorological and tracer field experiments may be possible as well.
Our team, part of the Information Systems and Modeling Group (A-1), works on national security problems for a wide range of government sponsors. For 20+ years, we have developed and applied the Quick Urban & Industrial Complex (QUIC) Chemical, Biological, and Radiological Plume Dispersion Modeling System that is used around the world. In collaboration with a sister organization in the Earth and Environmental Sciences Division, we have also developed two fast-running fire spread models, QUIC-Fire and QUIC-FST, that are being used to address prescribed burns and large-scale fire spread.
What You Need
Minimum Job Requirements:
Good communication skills, brainstorming and writing skills are essential, as is working effectively as part of a team.
Familiarity with Fortran, C++, Python, Matlab or an equivalent programming language.
The desire to continually learn new things is essential, as well as being open to working on a variety of topics.
Have and maintain a minimum cumulative GPA of 3.0 on 4.0 scale.
Education/Experience : A bachelor’s degree in Mechanical Engineering, Meteorology, Environmental Sciences, Chemical Engineering, Atmospheric Sciences, Nuclear Engineering, Civil Engineering, Aviation Sciences or related technical field obtained at the time of hire or within the past 3 years, but have not yet been accepted and enrolled in a graduate program.
Experience or strong interest in running numerical weather prediction, computational fluid dynamics, airborne plume transport and dispersion, and/or fire spread models
GPU coding experience
Note to Applicants:
For full consideration, applicants must submit a cover letter that addresses the key requirements of the position.
This position may require some domestic travel.
Ability to obtain a DOE L or Q Clearance in the long-term is preferred, but not required.
Location: This position will be physically located in Los Alamos, NM.
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)
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.
No Clearance: Position does not require a security clearance. Selected candidates will be subject to drug testing and other pre-employment background checks.
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Contact Name Wilson, Amber
Vacancy Name: IRC85306
Organization Name A-1/Analytics, Intelligence, and Technology - Information Systems and Modeling
Req ID: IRC85306
Category: Student - Post Bachelor