189 Electrical Engineering positions at Stanford University

Software Integration Developer

of intended employment at employer’s discretion. Requirements:  Bachelor's degree in Computer Science, Management Information Systems, Mechanical Engineering, Electrical/Electronic Engineering or

Business Intelligence Engineer 2

Office software. May telecommute within area of intended employment at employer’s discretion. Requirements:  Master’s degree in Computer Science, Mechanical Engineering, Electrical Engineering or related

Research Data Analyst 1 (75% FTE/Hybrid Opportunity)

: Bachelor's degree in computational and engineering sciences (e.g., computer science, computational biology, electrical engineering, biomedical engineering) or other related fields. Experience with signal

Health Economic Software Developer Associate

essential to evaluate current and yet-to-be-observed health policies. SHP seeks a Health Economic Software Developer Associate to join the modeling team led by Assistant Professor Fernando Alarid-Escudero

Faculty Administrator

leaders who will make the world a better place through the power of engineering principles, techniques and systems. Electrical Engineering is one of the largest departments in the School of Engineering at

Life Science Research Professional 2

Note - This is a three year, fixed-term position. The School of Engineering Stanford Engineering has been at the forefront of innovation for nearly a century, creating pivotal technologies

Life Science Research Professional 1

Note - This is a one year, fixed-term position. Visa sponsorship is not available for this position. All candidates must be eligible to work and live in the U.S. The School of Engineering Stanford

Life Science Research Professional

Note: This is a 1 year fixed-term position. The School of Engineering Stanford Engineering has been at the forefront of innovation for nearly a century, creating pivotal technologies that have

Teaching Fellow for Stanford Law School LLM Program in Law, Science and Technology

The Teaching Fellow for the Stanford Law School LLM Program in Law, Science and Technology will work with candidates in the LLM specialization in Law, Science and Technology. The fellow will assume

Research Data Analyst 1 (75% FTE/Hybrid Opportunity)

, electrical engineering, biomedical engineering) or other related fields. Experience with signal processing of medical imaging data. Experience with or demonstrated interest in neuroimaging techniques