University of Georgia ECE招收全奖博士 fall 2019
20842
Javad教授招收全奖phd，教授人很好，超级nice，有兴趣发简历到邮箱
主要方向：Advanced control systems; Machine learning; Optimization; Big data analytics
联系方式：1point3acres.com
实验室主页：cscl.engr.uga.edu
详细信息
Positions
Posted on July 15, 2018
Four open positions are available for PhD students at Complex Systems Control Lab in the School of ECE at Univ. of Georgia. The positions are available as early as January 2019. The topics and the desired background are as follows:
1. Control-oriented Modeling and Predictive Control Design for Advanced Combustion Engines
The objective of this project is to develop fundamental tools for dynamic modeling and predictive control of nonlinear and stochastic systems and apply them to high-efficiency low-emission advanced internal combustion engines (ICEs) and in particular dual fuel natural gas engines. The modeling and control design will be done in the linear-parameter varying (LPV) framework.
Strong background in system identification, robust control and optimization theory is required. Prior knowledge of automotive engines modeling and control, MPC and machine learning is desired.
2. Coverage Control of Heterogeneous Multi-agent Systems in Unstructured Environments
The general goal of this project is to develop a robot-assisted field-based high throughput phenotyping system that integrates both ground and aerial vehicles to collect data and unmask plant responses that can inform a new level and quality of decision making in selection of crop genotypes for specific production conditions. A strong computational core of this research is to develop a suite of analytical tools aiming at successful deployment of teams of heterogeneous vehicles (ground and aerial) that can collaboratively collect different types of data, while minimizing energy consumption in a minimum time and meeting practical constraints pertinent to phenotyping.
Strong background in optimization theory is required. Prior knowledge of graph theory and statistical machine learning is desired.
3. Stochastic Control Design for LED Lights Intensity and Spectrum in Greenhouses
The general goal of the project is to develop models and stochastic control schemes to maximize the return on investment of lighting, based on physiological responses, crop value, energy prices, and weather in a network of greenhouses. PhD student will be working on developing a coordinated strategy for lighting control and the energy management system in a greenhouse microgrid.
Strong background in optimization theory and stochastic analysis is required. Prior knowledge of MPC and statistical machine learning is desired.
4. Anomaly Detection in Cyber-human-physical Systems using Statistical Learning
The general goal of the project is to develop distributed approaches for detecting anomalies (faults or attacks) in cyber physical systems, and in particular in smart energy systems. The development of theory and implementation of distributed real-time learning approaches is the goal, where the prior knowledge of the underlying physics-based models will be embedded in the appropriate data-driven method and used for the purpose of detecting anomalies.
Strong background in optimization theory is required. Prior knowledge of graph theory and machine learning is desired.
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A competitive research assistantship and full tuition waiver will be offered. Outstanding candidates will also be considered for other fellowships provided by the UGA College of Engineering and Graduate School.
To apply, please send an application package to 1point3acres.com. The application should be submitted as a single PDF and include a cover letter (explicitly describing the candidate background and how they fit the open positions), a detailed CV (including the list of publications), and unofficial copies of their BS (and, if applicable, MS) transcripts.
University of Georgia (UGA), a top tier one research institution, is ranked 16th overall among all public national universities in the 2018 U.S. News & World Report rankings, and a Princeton Review top ten in value. UGA is recognized as a Public Ivy, a publicly-funded university considered to provide a quality of education comparable to that of an Ivy League university. Athens, GA is located approximately 70 miles northeast of Atlanta, GA. Consistently voted one of the best college towns in the United States, Athens has a thriving business, restaurant and music scene and is the gateway to numerous leisure activities in northern Georgia.
主要方向：Advanced control systems; Machine learning; Optimization; Big data analytics
联系方式：1point3acres.com
实验室主页：cscl.engr.uga.edu
详细信息
Positions
Posted on July 15, 2018
Four open positions are available for PhD students at Complex Systems Control Lab in the School of ECE at Univ. of Georgia. The positions are available as early as January 2019. The topics and the desired background are as follows:
1. Control-oriented Modeling and Predictive Control Design for Advanced Combustion Engines
The objective of this project is to develop fundamental tools for dynamic modeling and predictive control of nonlinear and stochastic systems and apply them to high-efficiency low-emission advanced internal combustion engines (ICEs) and in particular dual fuel natural gas engines. The modeling and control design will be done in the linear-parameter varying (LPV) framework.
Strong background in system identification, robust control and optimization theory is required. Prior knowledge of automotive engines modeling and control, MPC and machine learning is desired.
2. Coverage Control of Heterogeneous Multi-agent Systems in Unstructured Environments
The general goal of this project is to develop a robot-assisted field-based high throughput phenotyping system that integrates both ground and aerial vehicles to collect data and unmask plant responses that can inform a new level and quality of decision making in selection of crop genotypes for specific production conditions. A strong computational core of this research is to develop a suite of analytical tools aiming at successful deployment of teams of heterogeneous vehicles (ground and aerial) that can collaboratively collect different types of data, while minimizing energy consumption in a minimum time and meeting practical constraints pertinent to phenotyping.
Strong background in optimization theory is required. Prior knowledge of graph theory and statistical machine learning is desired.
3. Stochastic Control Design for LED Lights Intensity and Spectrum in Greenhouses
The general goal of the project is to develop models and stochastic control schemes to maximize the return on investment of lighting, based on physiological responses, crop value, energy prices, and weather in a network of greenhouses. PhD student will be working on developing a coordinated strategy for lighting control and the energy management system in a greenhouse microgrid.
Strong background in optimization theory and stochastic analysis is required. Prior knowledge of MPC and statistical machine learning is desired.
4. Anomaly Detection in Cyber-human-physical Systems using Statistical Learning
The general goal of the project is to develop distributed approaches for detecting anomalies (faults or attacks) in cyber physical systems, and in particular in smart energy systems. The development of theory and implementation of distributed real-time learning approaches is the goal, where the prior knowledge of the underlying physics-based models will be embedded in the appropriate data-driven method and used for the purpose of detecting anomalies.
Strong background in optimization theory is required. Prior knowledge of graph theory and machine learning is desired.
__________________________________________________________________________________________________
A competitive research assistantship and full tuition waiver will be offered. Outstanding candidates will also be considered for other fellowships provided by the UGA College of Engineering and Graduate School.
To apply, please send an application package to 1point3acres.com. The application should be submitted as a single PDF and include a cover letter (explicitly describing the candidate background and how they fit the open positions), a detailed CV (including the list of publications), and unofficial copies of their BS (and, if applicable, MS) transcripts.
University of Georgia (UGA), a top tier one research institution, is ranked 16th overall among all public national universities in the 2018 U.S. News & World Report rankings, and a Princeton Review top ten in value. UGA is recognized as a Public Ivy, a publicly-funded university considered to provide a quality of education comparable to that of an Ivy League university. Athens, GA is located approximately 70 miles northeast of Atlanta, GA. Consistently voted one of the best college towns in the United States, Athens has a thriving business, restaurant and music scene and is the gateway to numerous leisure activities in northern Georgia.
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