Postdoctoral Associate:

Required Qualifications: (as evidenced by an attached resume)
Doctoral degree (or foreign equivalent) in Electrical and Computer Engineering or a closely related field, completed by the start date of the appointment. U.S. citizenship is required. 

Research experience in at least one of the following areas:

●     Chip design, tape-out, and testing, preferably with applications to AI systems

●     Design, analysis, and modeling of AI hardware such as deep neural network accelerators or neuromorphic computing.

●     Emerging AI/ML models and hardware/software co-design for AI applications.

●     Radiation testing of electronic systems, with an emphasis on single event effects.

Preferred Qualifications:

●     Experience in designing and modeling fault-tolerant circuits, architectures, and systems.

●     Experience in radiation testing of electronic circuits.

Brief Description:
We are seeking a highly motivated and enthusiastic Postdoctoral Associate to join a multidisciplinary research team focused on developing energy-efficient and fault-tolerant AI systems that can operate reliably in the radiation-rich environment of space. The project integrates expertise across multiple levels—from circuits and architectures to algorithms, models, and systems—and includes opportunities for radiation testing at the NASA Space Radiation Laboratory (NSRL) at Brookhaven National Laboratory (BNL). This position offers a unique opportunity to contribute to cutting-edge research at the intersection of AI and space electronics, while collaborating with leading researchers at both Stony Brook University and BNL.

Under the supervision of Professor Emre Salman in the Department of Electrical and Computer Engineering at Stony Brook University, the successful candidate will:

●     Conduct independent research in electrical engineering with applications in robust and efficient AI systems; design and develop circuits, methodologies, research experiments aligned with project goals.

●     Analyze and evaluate experimental and simulation data using advanced and specialized techniques.

●     Prepare manuscripts and technical reports for publication, present findings at lab meetings and potentially at conferences and seminars.

●     Manage lab operations, including mentoring or supervising undergraduate and/or graduate students and research staff; provide training in research methods.

●     Assist in grant writing and preparation of research proposals; identify funding opportunities and participate in training activities.

●     Perform other duties as assigned.

Senior Postdoctoral Associate:

Required Qualifications: (as evidenced by an attached resume)
Doctoral degree (or foreign equivalent) in Electrical and Computer Engineering or a closely related field, completed by the start date of the appointment. U.S. citizenship is required. 

At least three years of research experience (including during PhD studies) in at least one of the following areas:

●     Chip design, tape-out, and testing, preferably with applications to AI systems

●     Design, analysis, and modeling of AI hardware such as deep neural network accelerators or neuromorphic computing.

●     Emerging AI/ML models and hardware/software co-design for AI applications.

●     Radiation testing of electronic systems, with an emphasis on single event effects.

Preferred Qualifications:

●     Experience in designing and modeling fault-tolerant circuits, architectures, and systems.

●     Experience in radiation testing of electronic circuits.

Brief Description:
We are seeking a highly motivated and enthusiastic Senior Postdoctoral Associate to join a multidisciplinary research team focused on developing energy-efficient and fault-tolerant AI systems that can operate reliably in the radiation-rich environment of space. The project integrates expertise across multiple levels—from circuits and architectures to algorithms, models, and systems—and includes opportunities for radiation testing at the NASA Space Radiation Laboratory (NSRL) at Brookhaven National Laboratory (BNL). This position offers a unique opportunity to contribute to cutting-edge research at the intersection of AI and space electronics, while collaborating with leading researchers at both Stony Brook University and BNL.

Under the supervision of Professor Emre Salman in the Department of Electrical and Computer Engineering at Stony Brook University, the successful candidate will:

●     Conduct independent research in electrical engineering with applications in robust and efficient AI systems; design and develop circuits, methodologies, research experiments aligned with project goals.

●     Analyze and evaluate experimental and simulation data using advanced and specialized techniques.

●      Prepare manuscripts and technical reports for publication; present findings at lab meetings and potentially at conferences and seminars.

●     Manage lab operations, including mentoring or supervising undergraduate and/or graduate students and research staff; provide training in research methods.

●     Assist in grant writing and preparation of research proposals; identify funding opportunities and participate in training activities.

●     Perform other duties as assigned.

Special Notes:
The Research Foundation of SUNY is a private educational corporation. Employment is subject to the Research Foundation policies and procedures, sponsor guidelines and the availability of funding. FLSA Exempt position, not eligible for the overtime provisions of the FLSA. Minimum salary threshold must be met to maintain FLSA exemption.

Visit The Office of Postdoctoral Affairs to learn more about our postdoctoral community.

Resume/CV and cover letter should be included with the online application.

Stony Brook University is committed to excellence in diversity and the creation of an inclusive learning, and working environment. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, familial status, sexual orientation, gender identity or expression, age, disability, genetic information, veteran status and all other protected classes under federal or state laws.

If you need a disability-related accommodation, please call the university Office of Equity and Access (OEA) at (631) 632-6280 or visit OEA.

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The starting salary range (or hiring range) to be offered for this position is noted below, it represents SBU’s good faith and reasonable estimate of the range of possible compensation at the time of posting.