University of Texas at Austin

Job Title

Assistant Professor in Human-Centered Data Science or Human-Computer Interaction


School of Information


Opening Date: 09/23/2021
Closing Date:  11/01/2021

Job Description

The School of Information at the University of Texas at Austin invites applications for a tenure-track Assistant Professor position in the broad areas of human-centered data science and human-computer interaction. Candidates in either area are welcome to apply.

We invite applications from scholars from diverse disciplines including information studies, psychology, communication, political science, sociology, computer science, and more. Our intent is to recruit scholars with compelling, human-centric research agenda that fit with the mission of the iSchool regardless of disciplinary background.

Applicants, especially those unfamiliar with Information Schools, are welcome to contact us via the email below prior to submitting their application to discuss how their research agenda connects to our school, as well as examining resources provided at We hope that the candidate for this position will help us shape our approach to data science and human-computer interaction research across our school. 

Job Duties

We are particularly interested in information scholars who will focus on the intersections of human-computer interaction, data science, and the design and evaluation of systems to support human exploration and discovery. 
The successful candidate will be expected to expand on one or more emerging areas within the school, including but not limited to:
  • Design (e.g., user experience design;  human-centered AI/ML systems;  research-through-design; critical design;  data visualization and interaction design for big data) 
  • Data Science (e.g., infrastructure development; data science education; crowdwork and human computation; algorithmic transparency and fairness; human-centered machine learning)
  • Technology & Society (e.g., design policy and ethics for data intensive technologies; social impacts of data intensive technologies)
Candidates focused on human-centered design of information technologies for human or social good will fit well within the culture of our school and are particularly encouraged to apply.
The candidate will be expected to play a foundational role in the School's new undergraduate major in Informatics, launched this Fall, which includes concentrations in human-centered data science and user experience design. Tenure-track faculty at the School of Information at the University of Texas at Austin have a 2/1 teaching load.



Candidates must hold a doctoral degree in a field that is relevant to their area of research and teaching, or be able to convincingly demonstrate that they will complete the degree before starting (e.g., by documenting a scheduled viva/defense). 

We are unable to consider applications beyond early Assistant Professor stage for this position.




For all of the positions, we seek candidates with excellent research, teaching, service and leadership abilities and a commitment to shaping the future of the UT Austin iSchool and the field of information science/studies more broadly. 

Candidates who currently or will potentially make outstanding contributions to the diversification of their scholarly fields and/or institutions of higher education are especially encouraged to apply.

Supplementation Information

The UT Austin iSchool is a premier research and education program for the 21st century field of information, where we are changing the future by engaging the present and preserving the past. Research and teaching at the iSchool changes the ways that we interact with information and technology, changes how information can make the world a better and fairer place for everyone, and changes the ways we protect and preserve our collective memory. For more information about the iSchool, see

The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.

How to Apply

To apply, please visit

Required materials include: 

  1. Current CV, 
  2. A cover letter (1 page), 
  3. A statement of your research plans (2-4 pages), 
  4. A sample of your writing, such as a chapter of your dissertation or a paper on which you were a lead author,   
  5. A teaching statement (1-2 pages), 
  6. Names and contact details of 3 references who have agreed to provide a reference letter (we will solicit reference letters, if needed, later in the process), and 
  7. A diversity statement (1-4 pages). The purpose of the diversity statement is to identify candidates who have professional skills, experience, and/or willingness to engage in activities that would enhance campus diversity and equity efforts.  

Questions about this position may be sent to [email protected].   


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