<p>Required Qualifications: (as evidenced by an attached resume)</p> <p>Doctoral degree (or foreign equivalent) in Electrical and Computer Engineering or a closely related field.</p> <p>At least three (3) years of research experience, to include at least one year of research experience following attainment of a Doctoral degree.</p> <p>Research experience in at least one of the following areas:</p> <ul> <li>Chip design, tape-out, and testing, preferably with applications to AI systems. </li><li>Design, analysis, and modeling of AI hardware, such as deep neural network accelerators or neuromorphic computing. </li><li>Emerging AI/ML models and hardware/software co-design for AI applications. </li><li>Radiation testing of electronic systems, with a focus on single event effects. </li></ul> <p>Preferred Qualifications:</p> <ul> <li>Experience in the design and modeling of fault-tolerant circuits, architectures, and systems. </li><li>Experience in radiation testing of electronic circuits. </li></ul> <p>Brief Description:</p> <p>We are seeking a highly motivated and enthusiastic Research Scientist to join a multidisciplinary team working on the development of energy-efficient, fault-tolerant AI systems resilient to space radiation. This collaborative project spans multiple levels of research expertise-from circuits and architectures to algorithms, models, and systems-and includes opportunities to conduct 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.</p> <p>Duties and Responsibilities:</p> <ul> <li>Design and execute research experiments, circuits and methodologies in electrical engineering, focusing on the development of robust and efficient AI systems. Apply advanced techniques and principles from circuit design, testing, architecture, and system development for AI applications. </li><li>Analyze and evaluate experimental and simulation data using advanced and specialized techniques. </li><li>Prepare manuscripts and technical reports for peer-reviewed publications and project deliverables. </li><li>Manage lab operations and may supervise postdoctoral associates and other research personnel. Provide training on specialized skills and research methods. </li><li>Assist in preparing grant proposals and securing external funding. Identify funding sources and training opportunities. </li><li>Perform other duties as assigned. </li></ul> <p>Special Notes:</p> <p>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.</p> <p>Resume/CV and cover letter should be included with the online application.</p> <p>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.</p> <p>If you need a disability-related accommodation, please call the university Office of Equity and Access (OEA) at (631) 632-6280 or visit OEA.</p> <p>In accordance with the Title II Crime Awareness and Security Act a copy of our crime statistics can be viewed here.</p> <p>Visit our WHY WORK HERE page to learn about the total rewards we offer.</p> <p>SUNY Research Foundation: A Great Place to Work.</p> <p>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.</p> <p>'692527</p>