Development of deep learning algorithm for storage system: 1.Works with large volume of data on the Big Data platform, perform data analysis and mining to generate novel solutions for NAND Flash based storage application. 2.Development of deep learning algorithm for NAND Flash controller. 3.Development of DSP for system reliability improvement. 4.Design the error handling algorithm for NAND Flash based storage system. 5.Create new visualization software that leverage machine learning and predictive analytic to bring new insights and solution to the business.
Optimization of Nand flash wear-leveling: 1. Development parts of wear-leveling algorithm. 2. The algorithm should be considered for mass productions. (resources constraints) 3. Development test patterns for benchmarks. 4. Prove the algorithm correct.
High speed serial link, Adaptive Equalizer, CDR, Transmitter, PLL, data rate=16~32Gb/s: Design part of high speed serial link transceiver circuit. Choose one of circuits based on student‘s specialty. This circuit must be conformed certain industry specification, such as PCIe5, Thunderbolt3. Use simulation result, include post-layout, to show the design meet the target.
We are looking for professional engineer to develop and provide inline monitoring solutions to the semiconductor fabrication industry for detecting and understanding yield limiting defects that impact their cutting-edge devices. The candidate will be responsible for: 1. Developing and improving algorithms, measurement capabilities, system optical models, calibrations development, analysis tools for optical metrology applications, and customer interaction with algorithmic aspects. 2. Working on complex problems that impact the success of current and future products in modeling and algorthithm for metrology. 3. Tasks include: develop a problem statement in working with customers, research into particular solutions, develop code, and test prototypes; design, code, and test/integrate into tool product software. The candidate shall have demonstrated ability in scientific programming with strong working knowledge in nonlinear optimization, statistical data analysis, machine learning, or computational electromagnetics. Knowledge of optical modeling, scatterometry and metrology is a big plus.