Binghamton University WISE GRA Position
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The Watson Institute for Systems Excellence (WISE), an institute for advanced studies at Binghamton University, is looking to fill one Graduate Research Associate (GRA) position in Dr. Yu Jin's group. The candidates should have a strong background in industrial systems engineering, computer science, or mechanical Engineering with good academic standing. While working on this project, GRA is expected to apply various methodologies of data
analytics, optimization, and simulation. Potential candidates should also have strong analytical, problem-solving, and communications (both oral and written) skills with appropriate knowledge and experience. The detailed job description and preferred qualification are as follow:
Job Description:
General Skills and Qualities:
Preferred technical skills:
The positions are open to MS and PhD (preferred) students with an undergraduate degree in industrial and systems engineering, computer science, or mechanical engineering. Interested candidates should submit an updated and well-formatted resume (GPA should be included, up to two pages in a pdf file) to Dr. Jin (1point3acres.com). When you submit the application, email subject should be "WISE GRA Application - First and Last Names."
Selected candidates will be notified with an interview schedule.
Yu (Chelsea) Jin received her BS degree in 2014 from the Department of Information Science and Technology at Jinan University in Guangzhou, China. In 2015, she received her master’s degree in manufacturing engineering from the University of Michigan at Ann Arbor. She earned her Ph.D. degree in industrial engineering at the University of Arkansas - Fayetteville in May 2020, and she joined Binghamton University as an assistant professor of Systems Science & Industrial Engineering in Fall 2020. Her research focuses on sensing and analytics, optimization, and simulation for advanced manufacturing and service applications. Her research has been sponsored by the Transdisciplinary Area of Excellence Seed Grant, Integrated Electronics Engineering Center Technical Advisory Board, and Watson Institute for Systems Excellence. She received the IISE Gilbreth Memorial Fellowship in both 2018 and 2019; the Kuroda Graduate Fellowship in Engineering, the Graduate Research Award in 2019, and the Outstanding Graduate Student Award in 2020 from the University of Arkansas. Her work has been published in IISE Transactions and ASME Journal of Manufacturing Science and Engineering. She has been a board member of IISE DAIS Division since May 2022 and an officer of INFORMS QSR International Committee since September 2020. She also served as a reviewer for IISE Transaction, ASME Journal of Manufacturing Science and Engineering, IEEE Transaction, Journal of Intelligent Manufacturing, etc.
analytics, optimization, and simulation. Potential candidates should also have strong analytical, problem-solving, and communications (both oral and written) skills with appropriate knowledge and experience. The detailed job description and preferred qualification are as follow:
Job Description:
- Develop simulation models for large-scales systems using advanced simulation tools such as FlexSim and Demo3D
- Develop optimization models to solve real-world problems
- Apply and develop advanced deep learning models combining with physics knowledge to improve smart manufacturing processes
General Skills and Qualities:
- Ability of publishing journal and/or conference paper(s) related to the project
- Ability of conducting comprehensive literature review and summary documentation on techniques applied in the projects
- Ability of applying concepts and knowledge of industrial and system engineering to solve real-world problems
Preferred technical skills:
- Develop advanced optimization models by applying linear programming, integer programming, mixed-integer programming, and network programming with open-source libraries (in Python, Java, C++, etc.) and optimization solvers (e.g., Gurobi, Cplex, FICO Xpress, etc.)
- Develop a simulation framework for validating and comparing different optimization models using simulation software such as FlexSim, Arena, Simo, Demo3D, etc
- Develop and implement advanced machine learning or artificial intelligence algorithms with Python or R packages
- Familiar with CFD, FEA, and other physics-based modeling techniques
- Familiar with additive manufacturing, electronic packaging, or have experiences in other smart manufacturing systems
The positions are open to MS and PhD (preferred) students with an undergraduate degree in industrial and systems engineering, computer science, or mechanical engineering. Interested candidates should submit an updated and well-formatted resume (GPA should be included, up to two pages in a pdf file) to Dr. Jin (1point3acres.com). When you submit the application, email subject should be "WISE GRA Application - First and Last Names."
Selected candidates will be notified with an interview schedule.
Yu (Chelsea) Jin received her BS degree in 2014 from the Department of Information Science and Technology at Jinan University in Guangzhou, China. In 2015, she received her master’s degree in manufacturing engineering from the University of Michigan at Ann Arbor. She earned her Ph.D. degree in industrial engineering at the University of Arkansas - Fayetteville in May 2020, and she joined Binghamton University as an assistant professor of Systems Science & Industrial Engineering in Fall 2020. Her research focuses on sensing and analytics, optimization, and simulation for advanced manufacturing and service applications. Her research has been sponsored by the Transdisciplinary Area of Excellence Seed Grant, Integrated Electronics Engineering Center Technical Advisory Board, and Watson Institute for Systems Excellence. She received the IISE Gilbreth Memorial Fellowship in both 2018 and 2019; the Kuroda Graduate Fellowship in Engineering, the Graduate Research Award in 2019, and the Outstanding Graduate Student Award in 2020 from the University of Arkansas. Her work has been published in IISE Transactions and ASME Journal of Manufacturing Science and Engineering. She has been a board member of IISE DAIS Division since May 2022 and an officer of INFORMS QSR International Committee since September 2020. She also served as a reviewer for IISE Transaction, ASME Journal of Manufacturing Science and Engineering, IEEE Transaction, Journal of Intelligent Manufacturing, etc.
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