The California Department of Transportation (Caltrans) is looking to hire one student assistant to work under the direct supervision of the Branch Chief for the Office of Broadband and Connectivity within the Division of Traffic Operations. In a learning capacity, the student assistant will assist engineers with the research and development of machine learning, deep learning and artificial intelligence solutions for traffic operations.

 

Conditions of Employment

 

This is a part-time, temporary, non-benefited, student position. Employment in all positions with University Enterprises, Inc. is dependent upon the mutual consent of University Enterprises, Inc. and the employee. This means that either University Enterprises, Inc. or the employee can, at any time, terminate the employment relationship at will, with or without cause.

 

Depending on the type of position you are applying for, a pre-employment background check consisting of one or more of the following may be conducted: employment history, professional references, criminal check: educational verification (degree, license, or official transcript) or DMV clearance. Applicants will be required to pass required pre-employment checks to the satisfaction of University Enterprises, Inc. (UEI) and the hiring Agency or Department.

 

UEI does not allow students to hold more than one UEI Job at a time, or work in more than one account per pay period. UEI employees who are considering leaving their current UEI Student assistant position for a different UEI student assistant positing should inform their supervisor in writing and provide at least a week’s notice.

 

UEI is not a multi-state employer. UEI only employs candidates who live and work in the state of California. If selected for the position you must reside in California and all work must be performed in the state of California.
 

 

 

Prerequisites

 

Must be a college student attending classes during the regular term (fall, spring, and winter, if applicable), at one of the accredited colleges or universities on our affiliation list.

To view our current affiliation list please paste the following URL into your browser: http://www.calinterns.org/wp-content/uploads/Affiliation_List.pdf

Students must be enrolled in at least six-semester units or nine quarter units for undergraduate students; four-semester units or six quarter units for graduate students.

Students declared major must match the major(s) listed in the job posting.

 

 

Majors/Fields of Study

 

Electrical/Electronics/Computer Engineering, Computer Science, Mathematics

 

 

Work Schedule

 

F lexible workdays and work hours, Monday – Friday, between 8 AM – 5 PM. Final work schedule will be determined by the supervisor.

 

 

Additional Work Schedule

 

Student Assistant and Graduate Assistant employees generally work up to 24 hours per workweek (Sunday – Saturday) during the academic year and up to 40 hours per workweek during breaks; (winter, spring, and summer).

 

 

Minimum Qualifications

 

• Must maintain a minimum cumulative 2.0 GPA.
• Must complete each term with minimum unit requirements for Undergraduate and Graduate student classifications. Proof will be collected at the end of each Spring and Fall term.
• Must possess aptitude for research and programming languages.
• Good oral and written communication skills.
• Possess knowledge of Microsoft Office (Word, Excel, PowerPoint, Sharepoint, Teams, Smartsheets, databases).
• Ability to reason logically, analyze situations accurately, and adopt an effective course of action.
• Ability to work in a team environment and follow directions.

 

 

Preferred Qualifications

 

• Under the amendment to Government Code Section 18220, state agencies shall give preference to a qualified applicant (up to 26 years of age) who is, or has been, a dependent child in foster care, a homeless youth, a formerly incarcerated youth, or a victim of human trafficking.
• Knowledge in machine learning, transformers, diffusers, large language models, data analysis, statistics, linear algebra, calculus, and python
• Skills and aptitude for rendering technical data into visual graphs, charts, and dashboards.

 

 

Duties and Responsibilities

 

• The student will be responsible for assisting engineers in researching and developing machine learning solutions for automation to improve productivity, efficiency, and safety for Caltrans’ Traffic Operations Department. Typical tasks may include:

  • Conducting Research on assigned topics.
  • Validating and verifying research and test results.
  • Generate reports of research and test results.
  • Prepare demonstrations and presentations based on these reports.
  • Assist with on-site and virtual demonstrations and test installations.

 

 

Physical Requirements

 

Sit for extended periods; frequently stand and walk; manual dexterity and hand-eye coordination; corrected hearing and vision to normal range; verbal communication; use of office equipment including computer workstations, telephones, calculators, copiers, printers, and scanners with or without reasonable accommodation.

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