Postdoctoral Research Associate (Multiple) (Electrical and Computer Engineering) |
Posting Number |
req22483 |
Department |
Electrical and Computer Engr |
Department Website Link |
https://ece.engineering.arizona.edu/ |
Location |
Main Campus |
Address |
Tucson, AZ USA |
Position Highlights |
The department of Electrical and Computer Engineering at The University of Arizona seeks two well-trained Postdoctoral fellows to work on a 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. This is a year-to-year appointment, contingent upon funding and performance. 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 and develop a software platform related to deep learning and security/privacy.
- Mentor and collaborate with undergraduate, masters students, and Ph.D. candidates on research.
- Participate fully as a lab team member to collaborate on research, collection of data, and attend meetings.
- Participate in 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).
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Minimum Qualifications |
- Conferred Ph.D. in a relevant field (e.g., Computer Engineering, Computer Science, Electrical Engineering, Mathematics, etc.) is required upon offer of employment.
- At least three years' experience in machine learning or cybersecurity-related research and development.
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Preferred Qualifications |
- Effective writing experience for publication of articles in scientific research journals.
- Experience with PyTorch.
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FLSA |
Exempt |
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 |
NIH salary guidelines, Depends on Experience |
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 |
Target Hire Date |
|
Expected End Date |
|
Contact Information for Candidates |
Dr. Michael Wu | mhwu@arizona.edu |
Open Date |
4/21/2025 |
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). |
Notice of Availability of the Annual Security and Fire Safety Report |
In compliance with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act (Clery Act), each year the University of Arizona releases an Annual Security Report (ASR) for each of the University's campuses.Thesereports disclose information including Clery crime statistics for the previous three calendar years and policies, procedures, and programs the University uses to keep students and employees safe, including how to report crimes or other emergencies and resources for crime victims. As a campus with residential housing facilities, the Main Campus ASR also includes a combined Annual Fire Safety report with information on fire statistics and fire safety systems, policies, and procedures. Paper copies of the Reports can be obtained by contacting the University Compliance Office at cleryact@arizona.edu. |