Job Openings in EE

Electrical Engineering Faculty Position

The Department of Electrical Engineering at Stanford University (http://ee.stanford.edu/) 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 robotics, autonomous systems, embedded systems, control, optimization, and machine learning. 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 email addresses of at least five references. 

The review of applications will begin on December 15, 2017, and applicants are strongly encouraged to submit complete applications by that date for full consideration; however, applications will continue to be accepted through January 15, 2018. 

Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. 

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Quantum Science and Engineering Faculty Position

The Schools of Engineering and Humanities and Sciences at Stanford University (http://soe.stanford.edu/ and https://humsci.stanford.edu) invite applications for a tenure-track faculty appointment at the junior level (Assistant or untenured Associate Professor) in the broadly defined field of quantum science and engineering with particular emphasis on all aspects of quantum computing and information. Priority will be given to the overall originality and promise of the candidate’s work over any particular specialization area or department affiliation.

Applicants should have a 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 is expected to be appointed in one or two of the departments of Applied Physics, Computer Science, Electrical Engineering, Materials Science and Engineering, or Physics, although a joint appointment with another department or with SLAC will be considered depending on the candidate’s research area and teaching plan. The 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.

Applicants must send materials to the search committee through Academic Jobs Online. Candidates should upload a cover letter, curriculum vitae, publication list, a research and teaching statement (maximum three pages, combined), and arrange to have five letters of reference submitted online at https://academicjobsonline.org/ajo/jobs/9550

Inquiries may be directed to J. Tice, Dept. of Physics, 382 Via Pueblo Mall, Stanford University, Stanford, CA 94305-4060, or to tice@stanford.edu.

The due date for submission of all materials, including letters of reference, is December 1, 2017.

Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford also welcomes applications from others who would bring additional dimensions to the University’s research, teaching and clinical missions. 

 


Statistical and Computational Neuroscience Faculty Position

The Department of Electrical Engineering, the Department of Statistics and the Stanford Neurosciences Institute at Stanford University invite applications for a tenure-track appointment any level in statistical and computational neuroscience. Applicants are expected to have a doctoral degree in neuroscience, statistics, electrical engineering, physics, computer science, mathematics, or related disciplines. The home department of the chosen candidate is expected to be Electrical Engineering or Statistics, although other departments may be considered depending on the candidate’s area of research and teaching plan.

The successful candidate will be expected to contribute creatively and in depth to statistical, computational or theoretical approaches to advance the field of neuroscience both through research and teaching. We are open to candidates working in a range of areas including theoretical or applied statistics, applied mathematics, algorithms, optimization, machine learning, data analysis, modeling, information theory, signal processing, and networks. 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 letter of application, curriculum vita, a statement of research and teaching interests, graduate transcripts, not more than one preprint/reprint, and arrange for three letters of recommendation to be submitted. All materials should be submitted online at https://academicjobsonline.org/ajo/jobs/9339. Applications are guaranteed consideration if submitted by November 1, 2017.

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.