Jinlong Wu (Principal Investigator)

Virginia Tech

Ph.D., Aerospace Engineering (2018)

Southeast University, China

M.S., Power Engineering (2014)

Southeast University, China

B.S., Thermal Energy and Power Engineering (2011)

PhD_defense.jpg

Group Members

Chuanqi Chen (Ph.D. Student)

Chuanqi_edited.jpg

Georgia Institute of Technology

M.S., Industrial System Engineering (2022)

University of Illinois at Urbana-Champaign

B.S., Statistics (2019, minor in Mathematics)

“I enjoy reading, thinking and sharing. I could play basketball, table tennis and badminton. I like history, culture, art, literature, and philosophy. Thank you for spending time reading this, and I am willing to be friend with you.”  -- Chuanqi

Joining Our Group

(For Ph.D. Program Applicants)

I am looking for two Ph.D. students (the anticipated starting term is 2023 Spring/Fall) in research areas of Scientific Machine Learning, Data Assimilation, and Uncertainty Quantification with the focus on developing novel data-driven modeling and simulation techniques and applying them to engineering applications (e.g., renewable energy systems, advanced manufacturing, autonomous systems). Students will be supported by research assistantships that cover the full tuition and stipend. For those who are interested, please send your CV and transcripts to jinlong.wu@wisc.edu.

Required qualifications:

  • Bachelor/Master degree in engineering, applied math, or a related field.

Preferred qualifications:

  • Passionate about Scientific Machine Learning/Data Assimilation/Uncertainty Quantification.

  • Strong coding skill in one or more programming languages (Python/Julia/C/C++).

  • Solid backgrounds of undergraduate-level math and statistics courses.

  • Previous experiences with research projects of computational fluid dynamics (or projects of computational physics in general).

  • Proficiency in English reading, writing and speaking.

(For Undergraduate/Master Students)

Students at UW-Madison who are seeking for undergraduate/master research projects in the areas of data-driven modeling and simulation in engineering applications are also very welcome. Please send your CV and transcripts to jinlong.wu@wisc.edu.