Data Science Institute Graduate Student Researcher
5 days ago
Lawrence Livermore National Laboratory (LLNL) is seeking highly motivated and talented graduate students to participate in our Data Science Summer Institute (DSSI) internship program. As a DSSI intern, you will have the opportunity to engage in practical research and work with our team of scientists and engineers to advance the field of data science.
Responsibilities- Provide technical and research support to projects in the areas of computational science, numerical methods, mathematics, and other related fields.
- Perform technical assignments of a basic degree of complexity and provide technical support to scientists in scientific research and development projects.
- Attend data science related short courses, meetings, and work with other interns on a data science challenge problem.
- Support documentation, testing, creation, or modification of Laboratory software, hardware, or Computer operating systems.
- Conduct research in assigned area, gather and analyze data and information in support of scientific research under limited direction and supervision.
- Participate in research planning and evaluation discussion.
- Attend relevant seminars and participate in DSSI related courses, meetings, and events.
- Present work through presentations and/or poster sessions during your internship.
- Must be a continuing college or university student in good standing at an accredited institution pursuing a graduate degree or has completed their bachelor's or master's degree in Computer Science, Statistics, Mathematics, Machine Learning, Computer Vision, Bioengineering, or other related fields.
- Effective programming skills in a high-level language, such as R, Python, or Matlab. Distributed/parallel computing and experience with C/C++ and/or Java a plus.
- Ability to apply principles of data sciences (machine learning, statistics, computer science, mathematics) to solve technical problems.
- Ability to present and communicate concepts and ideas.
- Ability to work in a team environment.
- Effective communication skills.
- Desire to understand and explore why certain algorithms are well-suited to specific applications.
- Desire to participate in individual or team efforts including the LLNL DSSI Challenge Problems.
- Desire to improve skills in public presentation of scientific results by giving presentations and participating in the LLNL student poster competition.
- Eagerness to obtain an understanding of new application areas.
- Exposure through coursework or relevant experience to some of the following topics: Statistical modeling and data analysis, Bayesian and frequentist statistical frameworks, Inverse problems, uncertainty quantification, Machine learning, Computer vision, Multimedia signal and video processing, Combinatorics and algorithms, Graph modeling and social network analysis, Modeling and Simulation.
LLNL is an equal opportunity employer and is committed to providing a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws.
Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request.
The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here.
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