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Summary:

The Physical Modeling team's mission is to address problems at the intersection of physical sciences and computer science. We work closely with a variety of research and engineering teams including those focused on data centers and sustainability, Examples of projects the team could work on range from efficient cooling of data centers to developing simultaneous localization and mapping algorithms.Meta is seeking a Research Scientist Intern to join our Physical Modeling team to support the Data Center Controls Cooling & Climate Modeling program. This is a cutting-edge initiative dedicated to optimizing the planning, construction, and operation of Meta’s large-scale data centers. The program’s mission is to:- Develop scalable, modular component modeling to enable the adoption of new technologies, designs, and control systems within data centers.- Enhance resource utilization, focusing on efficient use of water and power to support sustainability and operational excellence.- Support climate and disaster planning by generating climate projections and resiliency strategies for long-term infrastructure reliability.- Promote safety through advanced modeling of heat indices and mechanical safety systems.This program plays a critical role in helping Meta achieve its organizational objectives, such as rapidly expanding data center capacity, accelerating availability through a building-blocks approach, and supporting sustainability goals. The program collaborates across the full data center lifecycle—planning, building, and operating—to drive innovation and operational excellence.

Required Skills:

Research Scientist, Physical Modeling Intern (PhD) Responsibilities:

1. Develop the right Electrical & Mechanical Engineering (EE & ME) modeling tools to support Data center design, engineering and build out

2. Work closely with engineering teams and research scientists to solve physical modeling problems

3. Implement Scalable algorithms enabling the Data Center digital models

4. Identify and prototype algorithms and interpret the results of prototype experiments

5. Apply expert coding skills to implement computation in partnership with other engineers and teams

Minimum Qualifications:

Minimum Qualifications:

6. Must be currently enrolled in a full-time PhD program in Electrical Engineering, Mechanical Engineering, Physics, Applied Math, Systems Engineering, Materials Engineering, Chemical Engineering, and similar Modeling and numerical simulation

7. Fundamental knowledge in physical systems, signal processing, numerical computational algorithms and data science or machine learning

8. Comfortable in manipulating and analyzing complex, high-volume, high-dimensionality data from noisy sources

9. Software development skills in Python for research applications

10. Experience in problem solving and communicating complex quantitative analysis in a clear, precise, and actionable manner

11. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications:

Preferred Qualifications:

12. Intent to return to degree program after the completion of the internship

13. Experience in thermal simulation or Mechanical system controls (in the sense of industrial air cooling)

14. Experience in Computer Vision or Machine Learning and working with geospatial data

15. Experience in Materials Science or Civil Engineering or experience with concrete and cement

16. Experience in Geosciences, modeling weather or fluid dynamics

Public Compensation:

$7,650/month to $12,134/month + benefits

**Industry:** Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].