"My group has 4 Graduate Assistant Positions (M.S. or Ph.D.) at North Dakota State University. Please send an email with your Resume and Statement of Interest to umamaheswara.tida@ndsu.edu titled "Grad Assistant Position for Spring 2025 or Fall 2025 for Position --": Position 1: EDA framework development for 3D/Monolithic 3D System This position focuses on developing algorithms for EDA of IC design. Familiarity with VLSI CAD concepts such as Partitioning, Floor planning, Placement and Routing is required. Previous experience on Cadence and Synopsys tool is highly recommend. Previous experience on Machine Learning such as LLMs, CNNs would be great. Position 2: Application-Specific Machine Learning Framework Development This position focuses on developing ML solutions with sensor integration for application towards Autonomous Vehicles and Object Detection. Machine Learning Framework Development specifically ML algorithms, CNNs and GNNs experience is required. Familiarity with Edge Computing Aspects, Compression Techniques as well as Jeston Nano is recommended.
"My group has 4 Graduate Assistant Positions (M.S. or Ph.D.) at North Dakota State University. Please send an email with your Resume and Statement of Interest to umamaheswara.tida@ndsu.edu titled "Grad Assistant Position for Spring 2025 or Fall 2025 for Position --": Position 1: EDA framework development for 3D/Monolithic 3D System This position focuses on developing algorithms for EDA of IC design. Familiarity with VLSI CAD concepts such as Partitioning, Floor planning, Placement and Routing is required. Previous experience on Cadence and Synopsys tool is highly recommend. Previous experience on Machine Learning such as LLMs, CNNs would be great. Position 2: Application-Specific Machine Learning Framework Development This position focuses on developing ML solutions with sensor integration for application towards Autonomous Vehicles and Object Detection. Machine Learning Framework Development specifically ML algorithms, CNNs and GNNs experience is required. Familiarity with Edge Computing Aspects, Compression Techniques as well as Jeston Nano is recommended.
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