Visible to the public Postdoctoral Scholar in Software / Hardware Co-design of High-Dimensional Machine LearningConflict Detection Enabled

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Postdoctoral Scholar - Software/Hardware Co-design of High-Dimensional Machine Learning

University of California Santa Barbara College of Engineering - Electrical and Computer Engineering

Job #JPF01839

Apply at: https://recruit.ap.ucsb.edu/portfolios?return_url=%2FJPF01839%2Fapply

Recruitment Period

Open date: September 8th, 2020

Next review date: Friday, Sep 25, 2020 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.

Final date: Thursday, Dec 31, 2020 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

Description

The Department of Electrical and Computer Engineering invites applications for an open, full time Postdoctoral Scholar position. Prof. Zheng Zhang is collaborating with Prof. Yuan Xie's group on a joint NSF-sponsored project on AI hardware. The Postdoctoral Scholar will work on the hardware/software co-optimization of high-dimensional machine learning models (e.g., tensorized deep learning). The postdoc associate will: (1). conduct original scientific research; (2). publish and present research results in top-tier conferences and journals; (3). join collaborative meetings with our industrial partners. Apply by September 25, 2020 for primary consideration, however, the position will remain open until filled. The position is anticipated to start by November 01, 2020.

BASIC QUALIFICATIONS
Applicants must have completed all requirements for a PhD (or equivalent) in electrical engineering, computer science/engineering or physics, or related field.

ADDITIONAL QUALIFICATIONS
PhD must be conferred by start of appointment

PREFERRED QUALIFICATIONS
Experience and independent research skills on algorithm acceleration on FPGA and/or embedded GPU, as demonstrated by previous publications, basic understanding of machine learning algorithms (e.g., training and inference) and basic understanding of tensor computation will be a plus but not necessary

APPLICATION AND REVIEW PROCESS
Applications should be submitted electronically (https://recruit.ap.ucsb.edu/JPF01839), and must include:

  • Curriculum Vitae with a full publication list
  • Statement of Research
  • Publications (1-3)
  • Name and Contact Information of two references (one should be PhD supervisor)
  • Statement of Contribution to Diversity (optional)

The Department is especially interested in candidates who can contribute to the diversity and excellence of the academic community through research, teaching and service. We strongly encourage applicants to submit an optional Statement of Contributions to Diversity. These statements, if submitted, will be reviewed for evidence of teaching, research, professional and/or public service contributions that promote diversity and equal opportunity.

The University of California is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Reference requirements

2 required (contact information only)