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This supervised position provides an opportunity for an engineering student interested in energy systems and utilities to develop and apply knowledge in central plant and distribution system engineering, plant operations, data analysis, and programming. The selected candidate will conduct research, planning and execution of short- and long-term projects for the Stanford University's Central Energy Facility (CEF). This position will normally require the individual to work a standard day shift, but some overtime work (nights and/or weekends) may be required depending on candidate skill set and selected projects. This position will normally report to and take day-to-day instruction from the staff Mechanical Engineer and Data Scientist, but also other employees at the CEF as required to support project work. This is a hybrid position that allows work to take place remotely, but will sometimes require in-person work at the CEF and across the Stanford campus. 

 

CORE JOB DUTIES

60% - Support development of projects based on candidate skill set, but projects requiring support include campus thermal distribution system mapping and documentation support, which contribute to the CEF and distribution system long-term capital planning process, replacement planning, and improved GIS system integration. Process and application development with software tools including computerized maintenance management systems and enterprise data historians.

40% - Perform projects in data analysis and data visualization, including project support for enhanced tracking of campus utility consumption, campus utility load forecasting, web development, and database management. Apply data science and machine learning tools where applicable (based on candidate skill set).
 

The above statements reflect the general details considered necessary to describe the essential functions of the job and are not to be construed as a detailed description of all the work requirements that may be inherent in the position.

 

MINIMUM EDUCATION AND EXPERIENCE REQUIRED

Undergraduate or graduate student working toward a degree in Engineering or related field.

 

MINIMUM KNOWLEDGE, SKILLS AND ABILITIES REQUIRED

  • Basic/introductory skills in applicable coding language (Python, R,etc.) and data visualization (Tableau, Grafana, Plotly, etc.), and a willingness to expand those skills.
  • Basic ability or willingness to learn how to query and manage data using SQL.
  • Experience with GIS, or a willingness to learn GIS platforms.
  • Demonstrated ability to work and communicate effectively both verbally and in writing in diverse teams.
  • Application of good judgment when making decisions and recommendations.
  • Approach and plan work in an organized manner to meet project commitments.

 

DIFFERENTIATING KNOWLEDGE, SKILLS AND ABILITIES 

  • Interest in fluid/hydraulic, mechanical, HVAC, and/or instrumentation control systems.
  • Experience with data mining and machine learning practices.
  • Demonstrated experience working with diverse teams in industrial facilities.
  • Operations experience in a district energy system or power generation facility.
  • Awareness of environmental and safety rules, regulations, and policies for industrial facilities.

 

PHYSICAL REQUIREMENTS

  • Frequently sitting, performing desk-based computer tasks, lift/carry/push/pull objects that weigh up to 10 pounds.
  • Occasionally stand/walk, twist/bend/stoop/squat, grasp lightly/fine manipulation, use a telephone, lift/carry/push/pull objects that weigh up to 11-20 pounds.
  • Rarely kneel/crawl, climb (ladders, scaffolds, or other), reach/work above shoulders, grasp forcefully, writing by hand, sort/file paperwork or parts, lift/carry/push/pull objects that weigh >40 pounds.

 

WORKING CONDITIONS

  • Work is generally performed during normal business hours, but some after hours and/or weekend work may be required based on specific project requirements. 
  • Workplace conditions require wearing of Personal Protective Equipment, including hearing protection with normal plant noise > 80dB TWA. 
     

WORK STANDARDS

  • Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
  • Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.
  • Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University’s Administrative Guide, http://adminguide.stanford.edu/

 

Please submit your resume and cover letter to the hiring manager, Giovanni Alvarez, via email at giovann1@stanford.edu.