Electrical Engineering Broad Area 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 firstname.lastname@example.org.
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.
Faculty Position in Statistical and Computational Neuroscience
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.
Level G, 100% FTE, Non-Exempt, 1 Year Fixed Term
The Neural Prosthetic Systems Lab in the Electrical Engineering Department conducts neuroscience, neuroengineering, and translational research to better understand how the brain controls movement, and to design medical systems to assist people with movement disabilities. The lab is seeking an experimental technician to lead and perform a variety of projects and tasks to help accelerate research and streamline daily operations for graduate students, postdocs and animal technicians in the lab.
Job responsibilities include
- Computer aided design (CAD) of specialized metal parts for our laboratory experiments.
- Coordinate with outside vendor(s) to have these CAD designs machined / 3D printed.
- Receive and assemble parts, install in experimental setup, test performance mechanically, electrically, optically.
- Lead interactions with a range of vendors where custom systems are needed and coordinate as issues arise.
- Lead interactions with machine shop on campus.
- Catalog (database) and organize (timelines) variety of parts and systems in lab and coming to lab.
- Design and install variety of storage and procedure stations in lab.
- Program (MATLAB, Python, UNIX) specific software elements associated with conducting experiments / analyzing data.
- Background research on commercial systems available to meet experimental needs, and then generate purchase order.
Minimum Education & Experience: Associate degree or 3 years relevant experience or combination of education and relevant experience.
SPF Electronic Engineer
Level J, 100% FTE, Exempt
The System Prototyping Facility (SPF) in the Electrical Engineering Department is looking for an electronic engineer to help design printed circuit boards for a variety of electronic system prototypes and instrumentation setups. Experience in analog circuit and printed circuit board design is required. Experience in embedded systems and FPGAs is also strongly desired. A degree at the B.S. or M.S. is expected.
The successful candidate will work closely with the facility’s lab director, research engineers and our Stanford-internal clients. In addition, the candidate will also work with post-docs and graduate students during project execution. As such, experience in an educational environment is very desirable.
Minimum Education & Experience: Bachelor's degree and 3 years relevant experience or combination of education and relevant experience.
Life Science Research Assistant
Level E, 100% FTE, Exempt
The Department of Electrical Engineering in the School of Engineering is seeking applicants for the position of Life Science Research Assistant to assist the animal care team. This team functions in a neurophysiology lab that investigates the neural mechanisms of cortical motor control and designs neural prosthetic systems.
- Perform or assist in routine veterinary procedures and surgery preparation.
- On a daily basis, monitor animal health (including during post-operative recovery), maintain health records, and administer routine medications and treatments.
- Provide initial training of non-human primates and become adept at working with animals.
- Assist with the psychological enrichment of non-human primates.
- Help orient and train new staff or students on proper health, safety, and lab procedures.
- Review literature on an ongoing basis to remain current with new procedures and related research.
- Offer suggestions regarding modifications to procedures and protocols in collaboration with graduate post-doctoral individuals.
- Contribute to publication of findings as needed. Participate in the preparation of written documents, including procedures, presentations, and proposals.
- Help with general lab maintenance as needed; maintain lab stock, manage chemical inventory and safety records, and provide general lab support as needed.
- Assist in ensuring the laboratory meets all federal, state, and local regulations.
Minimum Education & Experience: Bachelor's degree in related scientific field. Preferably in biology or a field studying behavior. Experience working with non-human primates desired.
Life Sciences Research Professional
Level E, FTE 100%, Exempt, Fixed Term 1 Year
The Soh Lab at Stanford, which develops novel biomaterials and biosensors for the early detection and personalized treatment of diseases, seeks an experienced research professional whose primary responsibility will be facilitating the successful execution of lab projects. In coordination with other team members, this individual will record, help analyze and report experiment results, monitor equipment usage and maintain lab inventories, while adhering to regulations for working with Biosafety II pathogens.
Minimum Education & Experience: Bachelor's degree in related scientific field.
SystemX Alliance Program Assistant
Level F, 100% FTE, Non-Exempt
The Stanford SystemX Alliance is seeking a program assistant who can provide operational support for the Alliance’s internal & external communications; for our seminars, conferences and workshops; for helping to maintain our website; and for assisting in student research travel, meeting setup, and the common administrative functions associated with a research center. The position reports to the SystemX Alliance program manager.
The Stanford SystemX Alliance is a collaboration between Stanford University and member industrial firms to facilitate research on hardware and software at all levels of the system stack, from materials and devices to systems and applications in electronics, networks, energy, mobility, bio-interfaces, sensors and other real-world domains.
In particular, the SystemX program assistant should be an excellent organizer and communicator, and be comfortable maintaining and contributing to websites, social media and presentation applications. The program assistant will be corresponding with member companies, and compiling and editing bulletins, brochures, reports and online displays. The ideal candidate will have excellent interpersonal skills, accomplished at handling event and conference logistics, and would be familiar with contact management software like Salesforce, or ideally Insightly.
• Act on behalf of the supervisor, executive director, or faculty director in regards to establishing priorities and identifying and resolving problems that are administrative in nature.
• Oversee and/or perform duties associated with scheduling, organizing, and operating complex conferences, seminars, and events, including arranging with vendors for services, overseeing the production and distribution of materials, and administering logistics.
• Compose and draft documents and correspondence for presentations, workshop and meeting handouts, conferences, seminars, and reports; perform substantial editing and fact checking. Create, maintain, modify, and/or ensure accuracy of content in various unit documents, displays, reports, brochures, and/or websites.
• Plan and schedule meetings with limited consultation, resolve calendaring conflicts, and arrange travel in compliance with unit, university, and sponsor policies.
• Create complex reports and spreadsheets which may utilize specialized software and systems.
• Process a variety of complex financial transactions.
• May assist with capital or special equipment requests and/or vendor selection.
• Coordinate and monitor routine maintenance services completion. Plan and coordinate office moves.
• May lead staff or supervise day-to-day work of student and/or temporary workers, including scheduling, assigning, and prioritizing workloads, setting appropriate deadlines, reviewing work for quality and timeliness, and providing performance review input.
Knowledge, Skills and Abilities
• Demonstrated experience with office software and email applications.
• Demonstrated success in following through and completing projects.
• Excellent organizational skills and attention to detail.
• Strong verbal and written communication skills.
• Excellent customer service and interpersonal skills.
• Ability to prioritize and multi-task
• Ability to take initiative and ownership of projects.
• Ability to routinely and independently exercise sound judgment in making decisions.
• Familiarity with Stanford financial systems highly desired.
• Familiarity with Contact Management software such as ‘Salesforce’ or ‘Insightly’ highly
• Familiarity with web content editing highly desired.
Minimum Education & Experience: High school diploma and four years of administrative experience, or combination of education and relevant experience.