Postdoctoral Research Associate (Electrical and Computer Engr) (Multiple Positions)
Posting Number: req12072
Department: Electrical and Computer Engr
Location: Main Campus
Address: Tucson, AZ USA
The Electrical and Computer Engineering Department at The University of Arizona seeks two (2) well-trained candidates to work on an exciting NSF-funded project at the intersection of deep learning and computer security/privacy, under the direction of Dr. Michael Wu.
The project seeks to investigate security and privacy problems in deep learning models and explore deep learning-empower solutions to securing next-generation cyber systems.
The candidates will be part of an NSF-funded project, entitled A Development and Experimental Environment for Privacy-preserving and Secure (DEEPSECURE) Machine Learning Research. The successful candidate will work with a team of researchers from the University of Arizona and the University at Buffalo to develop a new software platform to support DEEPSECURE SDE (Software Development Environment) and MEC (Multi-user Experimental Chamber). The platform will be integrated with PyTorch to enable great usability for both beginners and advanced researchers and feature a scalable and customizable modular framework with seamlessly integrated libraries, function blocks, and sample modules.
The duration of the initial appointment will be for one year and the position can be renewed based on performance and research productivity for a second year.
Outstanding UA benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; UA/ASU/NAU tuition reduction for the employee and qualified family members; access to UA recreation and cultural activities; and more!
The University of Arizona has been recognized for our innovative work-life programs. For more information about working at the University of Arizona and relocations services, please click here.
Duties & Responsibilities
- Perform research related to deep learning and
security/privacy developing software platform.
- Mentor and collaborate with undergraduate/MS students and
Ph.D. candidates on research.
- Participates fully as a lab team member to collaborate
research, collect data and attend meetings.
- Innovative research and participation in proposal writing.
- Prepare, edit and revise research papers to be published in
peer-reviewed conference proceedings and journals.
- Other duties may be assigned.
Knowledge, Skills and Abilities:
- Deep knowledge in applied machine learning and/or security and privacy.
- Demonstrated ability to conduct independent research.
- Strong communication skills (writing and oral expression).
- Conferred Ph.D. in a relevant field (e.g., Computer Engineering,
Computer Science, Electrical Engineering, Mathematics, etc.) is required upon offer of employment.
least three years' experience in machine learning or cybersecurity-related
research and development.
- Effective writing experience for publication of articles in scientific research journals.
- Experience with PyTorch.
Full Time/Part Time: Full Time
Number of Hours Worked per Week: 40
Job FTE: 1.00
Work Calendar: Fiscal
Job Category: Research
Benefits Eligible: Yes - Full Benefits
Rate of Pay: $53,760 - $56,712 (DOE)
Compensation Type: salary at 1.0 full-time equivalency (FTE)
Type of criminal background check required: Name-based criminal background check (non-security sensitive)
Number of Vacancies: 2
Contact Information for Candidates
Dr. Michael Wu: email@example.com
Open Until Filled: Yes
Documents Needed to Apply: Curriculum Vitae (CV), Cover Letter, and One Additional Document
Special Instructions to Applicant
Please provide the following documents:1. Cover Letter highlighting their relevant experience and research interests,
2. A Curriculum Vitae,
3. Copy of 1 publication (uploaded into the "Additional document" slot).
At the University of Arizona, we value our inclusive climate because we know that diversity in experiences and perspectives is vital to advancing innovation, critical thinking, solving complex problems, and creating an inclusive academic community. As an Hispanic-serving institution, we translate these values into action by seeking individuals who have experience and expertise working with diverse students, colleagues, and constituencies. Because we seek a workforce with a wide range of perspectives and experiences, we provide equal employment opportunities to applicants and employees without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or genetic information. As an Employer of National Service, we also welcome alumni of AmeriCorps, Peace Corps, and other national service programs and others who will help us advance our Inclusive Excellence initiative aimed at creating a university that values student, staff and faculty engagement in addressing issues of diversity and inclusiveness.