[IISE Faculty List] Postdoc Research Scientist Position in Industrial & Systems Engineering at University of Wisconsin - Madison

[Hantang Qin]

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Dear colleague:
There is a Postdoc Research Scientist opening in my research team at the Department of Industrial and Systems Engineering at the University of Wisconsin - Madison. The preferred background is in Nuclear Engineering / Machine Learning / Artificial Intelligence / Data Science. The postdoc is expected to start from Oct 2025, and renewable for up to 4 years. If you have talented PhD students looking for postdoc positions, feel free to forward this opportunity to them. Thank you!

Below are the position details:

Job Title: Postdoc Research Scientist

Description:
Prof. Hantang Qin’s group at University of Wisconsin - Madison is seeking a Postdoc Research Scientist to conduct research in Nuclear Engineering and Advanced Manufacturing. The expected duration (negotiable) will be from October (starting date TBD), 2025 - September, 2030. Annual renewal of the contract will depend on the performance and availability of funding. Available by search: https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fhr.wisc.edu%2Fpostdoc-and-research-intern-vacancies%2F&data=05%7C02%7Ciefac.list%40mailman.clemson.edu%7C4ade87ddeb62408a099d08dde0d75d4b%7C0c9bf8f6ccad4b87818d49026938aa97%7C0%7C0%7C638913937759221630%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=awo%2FAGLOCSRbDirrPrtve%2BtE8cDUjnGrkxaCISBqE%2Fo%3D&reserved=0

Responsibilities:

  *
Research: Investigation of current and new approaches for Model-Based Systems Engineering (MBSE).
Research description: MBSE is the formalized application of modeling to support system requirements for end users, design, analysis, verification, and validation, beginning in the conceptual design phase and continuing throughout development and later life cycle phases. We will use the results of the experimental integrated testing to validate high-fidelity models of the tested components and derive informed functional specifications of the individual components. From these models, we can then derive reduced fidelity, mostly parametric models and data, that can be combined for quantitative assessment of the technical risks. Previous knowledge and practices on machine learning algorithms, data science, data-driven approaches, statistics are needed to carry on the work.
  *   Manage multiple projects: work with Ph.D. students to ensure project research progress; Write progress reports for the projects
  *
Paper writing
  *   Design of experiments and data analysis
  *   Attend and lead project meetings
  *   Laboratory management: safety, procurement, etc.

Required Education:

  *   Ph.D. degree in Computer Science, Nuclear Engineering, Industrial Engineering, Mechanical Engineering or closely related field by the end of Sep 2025

Preferred Qualification:

  *   Prior experience in machine learning algorithms, data science, data-driven approaches, statistics
  *   Strong communication skills, verbal and written skills
  *   Multi-task ability to manage multiple projects
  *   If international researchers, be able to work on OPT/J1 visa

 Contact:

  *   Email Dr. Qin with CV & Cover Letter. Email address: hqin52 at wisc.edu
  *   A virtual meeting will be scheduled.

Best regards,
------------------------------------------------------------------------
Hantang Qin, Associate Professor
Department of Industrial & Systems Engineering
3222 Mechanical Engineering Bldg., 1513 University Ave.
University of Wisconsin - Madison, Madison, WI 53706
https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Ffeap.wiscweb.wisc.edu%2F&data=05%7C02%7Ciefac.list%40mailman.clemson.edu%7C4ade87ddeb62408a099d08dde0d75d4b%7C0c9bf8f6ccad4b87818d49026938aa97%7C0%7C0%7C638913937759241256%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=tGnTZ%2FMQUwH2ZyQjSyJr9%2Ffx0%2FdhY%2BS5Q8OTtMGbsik%3D&reserved=0
Phone: 608-890-3780
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