Post-Baccalaureate Science and Engineering Research Internship Opportunity
3 weeks ago
Job Title: Post-Baccalaureate Science and Engineering Research Intern
Location: Los Alamos, NM, US
Organization Name: 36A10C
What You Will Do:
Come work with the best minds in the world at one of the most innovative and creative multidisciplinary research institutions engaged in strategic science on behalf of national security.
The Information Sciences and Modeling Group (A-1) develops information systems and models to understand complicated threat scenarios, like weapons of mass destruction, hurricanes, and infectious disease outbreaks.
The work we do at Los Alamos National Laboratory (LANL) matters to our country and the world.
We are seeking a post-baccalaureate student with a degree in a STEM field to join our Data Analytics team.
The Data Analytics Team performs basic and applied research focused on infectious disease modeling and forecasting, political instability modeling and forecasting, predictive analytics for national security applications, and large-scale data analytics.
Our expertise covers statistics, machine learning, dynamical systems, graph theory, agent-based simulations, and data analytics.
We ensure the scientific and technological validity of our approaches by working closely with physicists, mathematicians, statisticians, computer scientists, economists, remote sensing scientists, political scientists, and public health officials through interdisciplinary collaborations.
The student will partner with an experienced mentor who will provide guidance and feedback and work closely with a team of scientists in supporting various projects throughout the course of the year-around internship.
What You Need:
Minimum Job Requirements:
- Educational background in Computer Science, Software Engineering, Data Science, or related field.
- Good oral and written communication skills.
- Working knowledge of Python.
- Demonstrated ability to continually learn new things, as well as being open to working on a variety of topics.
- Ability to work both independently and collaboratively within a team environment.
- Must have been awarded a bachelor's degree in computer science, software engineering, data science or related field within the past three years but not yet accepted and enrolled in a graduate program.
- Must have a minimum cumulative GPA of 3.0 on a 4.0 scale, or its equivalent, on the last bachelor's degree earned.
Desired Qualifications:
- Experience with large-scale data processing
- Experience with machine learning
- Familiarity with high-performance computing and parallel computation
- Familiarity with agent-based modeling
- Familiarity analyzing and/or interpreting disease-related data
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. Some flexibility to work-from-home may be considered.
Note to Applicant:
When applying, please upload your resume, cover letter, and final transcripts showing proof of degree completion.
Eligibility for a Q clearance, which requires U.S. citizenship, is desired but not required.
Where You Will Work:
Located in Northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security.
LANL enhances national security by ensuring the safety and reliability of the U.S. nuclear stockpile, developing technologies to reduce threats from weapons of mass destruction, and solving problems related to energy, environment, infrastructure, health, and global security concerns.
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)
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