Pacific Northwest National Laboratory logo
Pacific Northwest National Laboratory

Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations, and outcomes for the U.S. Department of Energy and other sponsors. At PNNL, you will find an exciting research environment and excellent benefits including health insurance and flexible work schedules. PNNL is located in eastern Washington State—the dry side of Washington known for its stellar outdoor recreation and affordable cost of living.

PhD Intern - American Science Cloud Cost Models

Cloud EngineerCloud EngineerInternshipRemoteEntry LevelTeam 5,001-10,000

Location

United States

Posted

2 days ago

Salary

$24 - $36 / hour

Seniority

Entry Level

Job Description

PhD Intern - American Science Cloud Cost Models

Pacific Northwest National Laboratory

Role Description At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget. The Physical and Computational Sciences Directorate's (PCSD’s) strengths in experimental, computational, and theoretical chemistry and materials science, together with our advanced computing, applied mathematics and data science capabilities, are central to the discovery mission we embrace at PNNL. The Advanced Computing, Mathematics, and Data Division (ACMDD) focuses on basic and applied computing research encompassing: - Artificial intelligence - Applied mathematics - Computing technologies - Data and computational engineering Responsibilities include: - Realizing the potential for science to leverage on-demand cloud scaling and resource diversity. - Controlling and managing costs related to job orchestration. - Requesting SLO constraints with respect to a job’s cost. - Scheduling task parallelism, managing data objects, selecting compute instances, and assigning storage resources. - Tracking costs and ensuring they stay within budgets. Relevant research topics include: - Developing job resource telemetry, cost introspection, modeling, and prediction. - Cross-platform job control mechanisms for alerts, checkpointing, and hard stops. - Optimized job execution policies adapted to cost profiles. The successful applicant will work within the Future Computing Technologies group and have demonstrated expertise in a topic closely related to performance modeling and scientific workloads. The researcher should be creative, self-motivated, and ready to publish at top-tier venues. Qualifications - Currently enrolled/matriculated in a PhD program at an accredited college. - Minimum GPA of 3.0 is required. - Pursuing a degree in computer science, data science, or related field (preferred). - Familiar with topics such as distributed and continuum computing, vector databases, performance modeling, storage and memory systems, etc. (preferred). Requirements - Not Applicable for Hazardous Working Conditions/Environment. - This is not a Testing Designated Position (TDP). Benefits - Health insurance - Flexible work schedules - Employee assistance program - Business travel insurance - Company funded pension plan and 401k savings plan (for regular hourly employees) Company Description Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors. PNNL is located in eastern Washington State, known for its stellar outdoor recreation and affordable cost of living.

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