Wang Kailai
1 year ago
Transportation infrastructure systems University of Houston in United States
Degree Level
PhD
Field of study
Data Science
Funding
Full Tuition Fee Waiver
Deadline
Expired
Country
United States
University
University of Houston
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Where to contact
Official Email
Keywords
Data Science
Sociology
Deep Learning
Transportation Engineering
Urban Planning
Civil Engineering
Spatial Analysis
Python
Matlab
Statistical Modelling
Programming Languages
Applied statistics
Engineering
Analysis
Econometrics
Inequities
About this position
PhD Positions ???
Hello folks, I am looking for 1-2 highly motivated Ph.D. students to join my research group at UH. This is an incredible opportunity to explore the socio-ecological impacts, inequities, and challenges tied to current and future mobility systems. You'll engage in cutting-edge interdisciplinary research at the intersection of engineering and social sciences, addressing some of the most pressing issues in today's transportation infrastructure systems.
Key Benefits: Full Tuition Fee Waiver - Complete exemption from tuition fees.
Qualifications: 1) Proficiency in programming languages like Python, R, or MATLAB, 2) Strong skills in statistical modeling, econometrics, spatial analysis, and deep learning, 3) Experience with large-scale data management and analysis, 4) Excellent problem-solving skills and attention to detail, and 5) Exceptional written and verbal communication skills.
To apply, please submit the following materials: 1) A cover letter outlining your research interests and relevant experience, 2) Curriculum Vitae, 3) Academic transcripts, and 4) Any relevant publications or writing samples.
Visit these links to learn more about our work:
https://lnkd.in/gcMbhr3a
https://wang.egr.uh.edu/
https://lnkd.in/guYu4QaZ
?? Please email your application materials to Dr. Kailai Wang at [email protected] .
Don't miss this chance to contribute to transformative research in transportation and mobility. Apply now or share this with someone who might be interested! ??
Key Benefits: Full Tuition Fee Waiver - Complete exemption from tuition fees.
Qualifications: 1) Proficiency in programming languages like Python, R, or MATLAB, 2) Strong skills in statistical modeling, econometrics, spatial analysis, and deep learning, 3) Experience with large-scale data management and analysis, 4) Excellent problem-solving skills and attention to detail, and 5) Exceptional written and verbal communication skills.
To apply, please submit the following materials: 1) A cover letter outlining your research interests and relevant experience, 2) Curriculum Vitae, 3) Academic transcripts, and 4) Any relevant publications or writing samples.
Visit these links to learn more about our work:
https://lnkd.in/gcMbhr3a
https://wang.egr.uh.edu/
https://lnkd.in/guYu4QaZ
?? Please email your application materials to Dr. Kailai Wang at [email protected] .
Don't miss this chance to contribute to transformative research in transportation and mobility. Apply now or share this with someone who might be interested! ??
Funding details
Full Tuition Fee Waiver
How to apply
Email application materials to Dr. Kailai Wang at [email protected]
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