Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
Neuromorphic and AI-Optimized Processors – Design AI-specific chip architectures, including neuromorphic and domain-specific accelerators (TPUs, NPUs, FPGAs), for low-power and real-time AI processing. AI-Driven
-
to work with new technologies, be highly organized and capable of planning and coordinating multiple tasks and managing their time. The position will require attention to detail, effective problem solving
-
—areas where AI, machine learning, and data analytics are transforming traditional domains including robotics, autonomous systems, power systems, and embedded technologies. Expertise that bridges multiple
-
infrastructure (e.g., OpenStack, OpenShift). Knowledge of sensor electronics, FPGA development (e.g., VHDL), and sensor electronics prototyping. Excellent written and oral communication skills. Motivated self
-
for manufacture. Knowledge of FPGA development and hardware description languages such as SystemVerilog or VHDL, with experience in simulation, synthesis, and implementation considered highly desirable
-
related to developing, securing, or using AI chips and workloads, from edge devices to data centers. Topics of interest include, but are not limited to, GPUs, FPGAs, custom accelerators, protecting model IP
-
Posting Details Position Details Title Multiple, Tenure-Track Faculty Positions in Computer Engineering Appointment Status Tenure Track Department IU Bloomington Vice Provost For Faculty Affairs
-
collaboration with multiple tech companies to develop and demonstrate the next generation of free-space optical (FSO) communication systems for satellite communications. Information Satellite-based links
-
for integrated sensing and communication (ISAC). Responsibilities: Lead the design, setup, and execution of ISAC channel measurement campaigns across multiple environments, hardware platforms, and frequency bands
-
technologies promise to revolutionize multiple branches of science by solving problems that cannot be tackled by classical systems. While efficient and large-scale quantum computers are still far from being