EE Jobs

Faculty Positions

Junior Faculty Opening

The Department of Electrical Engineering at Stanford University invites applications for a tenure-track faculty appointment at the junior level (Assistant or untenured Associate Professor) in the broadly defined field of electrical and computer engineering. The department is especially interested in candidates in multidisciplinary areas such as embedded systems and neuroengineering, and whose research addresses major societal problems. Priority, however, will be given to the overall originality and promise of the candidate’s work over any specific area of specialization. 

Applicants should have an earned Ph.D., evidence of the ability to pursue an independent program of research, a strong commitment to both graduate and undergraduate teaching, and the ability to initiate and conduct research across disciplines.  A successful candidate will be expected to teach courses at the graduate and undergraduate levels and to build and lead a team of graduate students in Ph.D. research. 

Applications should include a brief research and teaching plan, a detailed resume including a publications list, and the names and addresses of at least five references.  

The online application will be available on this site in September. Applications will be accepted through December 15, 2014.  

Stanford University is an equal opportunity employer and is committed to increasing the diversity of its faculty. It welcomes nominations of and applications from women, members of minority groups, protected veterans and individuals with disabilities, as well as from others who would bring additional dimensions to the university’s research, teaching and clinical missions.  

 

Staff Positions

Instructional Labs Manager

The Electrical Engineering (EE) Department in the School of Engineering seeks a highly organized and energetic Instructional Labs Manager who thrives on managing the teaching labs and the lab’s computer and equipment systems. We seek a friendly and efficient team member with strong communication skills and a high level of attention to detail. The Instructional Labs Manager reports to the EE Department Manager and working closely with the Associate Chairs for Undergraduate and Graduate Education, develops and maintains the facilities that directly support the educational laboratories designed and taught by the EE faculty.  In addition to the basic education courses, the laboratories support several capstone design project classes as well as independent student projects such as honors theses and club-based activities. 

This exciting and diverse job requires someone with excellent technical and interpersonal skills while working with professors, students and staff.  It involves maintaining and upgrading over a dozen teaching and student labs with instrumentation that ranges in function from support of basic electronics teaching laboratories to high-frequency measurement systems and a diverse set of digital systems requirements.

Maintenance and upgrading of the laboratories requires skills in calibrating and repairing equipment as well as a good understanding of state-of-the-art measurement and testing equipment.  In addition, this position is responsible for managing the computer systems required in each lab. Working closely with faculty, this staff member has broad responsibilities to design, equip and manage the full range of these educational laboratories.

Qualifications

Education: 

  • Four-year college degree in the field of electronics and 7 years of relevant experience or a combination of education and work experience in instructional lab management.

Knowledge:

  • Significant computer experience including configuring and installing operating systems (Windows and Linux).
  • Professional experience in all aspects of designing, building and testing electronics, including analog, digital, mixed-signal and high-frequency (RF) systems.  Specific examples include, but are not limited to: transistor-level circuits; integrated circuit modules (i.e. OpAmps, PLL, ADC, RF etc.), signal processing (DSP) and networked micro-processor and micro-controller based systems. 
  • The job also requires a broad skill-set in electronic system fabrication (i.e. making PCBs, surface mount etc.) as well as physical system fabrication (NC machining, 3D printing etc.).

Critical Competencies:

  • Ability to operate independently with great self-initiative.
  • Must be able to commit to and follow through on tasks with minimal supervision.
  • Must demonstrate excellent decision-making and problem-solving skills and the ability to meet deadlines under pressure while maintaining accuracy and attention to detail.
  • Must demonstrate a strong service-oriented work ethic, along with a friendly, approachable manner, with excellent interpersonal communication skills; ability to build community while interacting effectively and professionally with a diverse population. Tact and diplomacy.

Stanford Careers - Job #63863

Stanford University is an affirmative action, equal opportunity employer. Thank you for your interest!

Other Positions

Assistant or Associate Professor - Theoretical/Computational Neuroscience

Position ID: Stanford-SNI-APTC [#4309, 14-Theory]
Position Title:  Assistant or Associate Professor - Theoretical/Computational Neuroscience
Position Type: Tenure-track faculty
Position Location: Stanford, California 94305, United States
Subject Areas:  Computational Neurosciences
Psychology
Computer Science
Mathematics
Statistics
Neuroscience
Electrical Engineering
Appl Deadline: 2014/11/10 (posted 2014/08/15, updated 2014/08/06, listed until 2015/01/01)
Position Description:   Apply    

The Stanford Neurosciences Institute and the Departments of Electrical Engineering and Psychology at Stanford University invite applications for a tenure-track appointment at the level of assistant or untenured associate professor in theoretical and/or computational neuroscience. Applicants are expected to have a doctoral degree in neuroscience, electrical engineering, statistics, physics, computer science, mathematics, or related disciplines. The likely departmental home of the appointee is electrical engineering or psychology, but could be in one of several other relevant departments.

The successful candidate will be expected to contribute creatively and in depth to theoretical and computational neuroscience, both through research and teaching. We are open to candidates working on a broad range of problems from formal theory to network simulations to information sciences and advanced data analytic tools. Ideal candidates will demonstrate strong communication and leadership skills, and will be able to actively contribute to our rapidly growing institute and their home department.

Applicants should submit a cover letter, CV, 3-5 page statement of research accomplishments and plans, 1 page teaching statement, 2 representative publications, and 3-5 letters of reference. All materials should be submitted online at https://academicjobsonline.org/ajo/jobs/4309. The search committee will begin reviewing applications on November 10, 2014, and the search will remain open until the position is filled.

Stanford University is an equal opportunity employer and is committed to increasing the diversity of its faculty. It welcomes nominations of and applications from women, members of minority groups, protected veterans and individuals with disabilities, as well as from others who would bring additional dimensions to the university’s research, teaching and clinical missions.