Work type: Post Doc (Amherst Only)
Location: UMass Amherst
Department: Elect & Computer Engineering
Union: Post Doc
Categories: Postdoctoral Research Associate, Research, College of Engineering
About UMass Amherst
UMass Amherst, the Commonwealth's flagship campus, is a nationally-ranked public research university offering a full range of undergraduate, graduate, and professional degrees. The University sits on nearly 1,450-acres in the scenic Pioneer Valley of Western Massachusetts and provides a rich cultural environment in a bucolic setting close to major urban centers. In addition, the University is part of the Five Colleges (including Amherst College, Hampshire College, Mount Holyoke College, and Smith College), which adds to the intellectual energy of the region.
Job Description
The Nanodevices and Integrated System Lab (http://nano.ecs.umass.edu/) in Electrical and Computer Engineering is seeking a Postdoctoral Research Associate to work in the exciting field of artificial neural network hardware. This postdoc position will play a key role in high-quality, low-power mix-signal integrated circuits design for artificial neural network applications. It requires proficiency in CAD tools for design, simulation, and layout of integrated circuits and extensive experience in chip tape out and testing. The position also requires good communication skills in both verbal and written English and teamwork ability. Familiarity with machine learning optimization techniques is also desired.
Essential Functions
Conduct research in the area of integrated circuits design and applications in artificial neural networks. Publish research results in international archival peer-reviewed journals. Provide technical leadership to other junior graduate researchers. Assist in writing research proposals in order to secure extramural funding.
Minimum Qualifications (Knowledge, Skills, Abilities, Education, Experience, Certifications, Licensure)
A Ph.D. degree in Electrical/Computer Engineering or related fields with expertise in mixed-signal integrated circuit design Proficiency in Cadence/Synopsys IC design tools with chip tape out and testing experience Demonstrated analytical skills, teamwork ability, and communication skills in both oral and written English Knowledge in machine learning and artificial neural networks
Special Instructions to Applicants
Interested candidates should apply by submitting their curriculum Vitae, cover letter and the names of three references. The application review process will begin as applications are submitted and will continue until the position is filled.
UMass Amherst is committed to a policy of equal opportunity without regard to race, color, religion, gender, gender identity or expression, age, sexual orientation, national origin, ancestry, disability, military status, or genetic information in employment, admission to and participation in academic programs, activities, and services, and the selection of vendors who provide services or products to the University. To fulfill that policy, UMass Amherst is further committed to a program of affirmative action to eliminate or mitigate artificial barriers and to increase opportunities for the recruitment and advancement of qualified minorities, women, persons with disabilities, and covered veterans. It is the policy of UMass Amherst to comply with the applicable federal and state statutes, rules, and regulations concerning equal opportunity and affirmative action.
Advertised: Nov 10 2021 Eastern Standard Time
Applications close: