Ph.D position at the University of Pittsburgh

Scholarship: Fully-Funded
Degree: Bachelor’s or master’s degree
Nationality: International Students
Location: USA
Application deadlines: Spring 2022, Fall 2022.

Scholarship Description:

Dr. Na Du in the Department of Informatics and Networked Systems, School of Computing and Information, at the University of Pittsburgh is looking for highly motivated individuals to pursue doctoral degrees in Information Science with a specialization in Human Factors/Human-computer Interaction/Intelligent Systems. The fully funded assistantships cover tuition, health insurance, and a competitive stipend. Anticipated start dates include Spring 2022, Fall 2022.

Na Du is an Assistant Professor in the Department of Informatics and Networked Systems, School of Computing and Information, at the University of Pittsburgh (starting Fall 2021). She received her Ph.D. in Industrial & Operations Engineering from University of Michigan. Her research aims to improve human performance, safety, and well-being by applying human factors and data analytics to the analysis, design, and evaluation of technologies. Her research interests include human factors in smart city, computational modeling of human behaviors, and human-centered design. Please see more information here:

University of Pittsburgh is one of the oldest institutions of higher education in the nation and is ranked 43rd in the 2021 U.S. News Best Global Universities Rankings. School of Computing and Information employs world-class faculty, offers access to first-rate educational and research facilities and partnerships with industry. Pittsburgh has been listed as the most livable city in the United States. It is a hub for the health care (e.g., University of Pittsburgh Medical Center), education (e.g., University of Pittsburgh and Carnegie Mellon University), and technology industries (e.g., Google, Apple Inc., Bosch, Facebook, Uber, Amazon, and Microsoft).

Available Subjects:

Engineering, Computer Science, Information Science, Psychology, Design, Math, or related areas.

Eligibility criteria:

Candidates with ANY of the following qualifications would be particularly encouraged to apply.

  • A minimum TOEFL score of 80 and a minimum GPA of 3.3 (on a 4-point scale) are required.
  • Research experience in human factors, human-computer interaction, or intelligent systems.
  • Knowledge or interest in using applied data science and machine learning for human behavior modeling
  • Skills in programming (e.g., Python, Java, C#, MATLAB, or R) or experience in developing AR/VR/simulator applications

Application Procedure:

If you are interested, feel free to contact Prof. Na Du via email ([email protected]) with the title “Prospective PhD Student” and include the following information: (1) your CV; (2) a copy of your transcripts; (3) a brief description of your background and research interests; and (4) representative publications or writing samples if available. Application information can be found here: