Assistant Professor, Health Informatics

Overview

The School of Information at the University of Texas at Austin invites applications for up to two tenure-track Assistant Professor positions to start in Fall 2024. Candidates will be expected to conduct innovative and impactful research and to teach at both the graduate and undergraduate levels in Health Informatics, one of the six concentrations in our new undergraduate informatics degree program which has synergies with other concentrations, such as Human-Centered Data Science, User Experience Design, and Social Informatics. We are particularly interested in outstanding scholars who have expertise that spans more than one concentration or focuses on the intersections of these concentrations with a specific focus on healthcare. Successful candidates will address the human and/or societal implications of information and technology on healthcare.

Successful candidates will be expected to expand on one or more established and emerging areas related to Health Informatics within the school, including but not limited to and in no particular order:

Human-centered data science approaches to observe, understand, and predict health-related risks
AI fairness to address bias in AI in Healthcare, enhancing algorithmic transparency by providing contextualized explanations for different user cases
Ethical issues related to utilizing advanced technologies in healthcare, and trust between users and technologies
Design, Usability, and Human-Computer Interaction concentrated on healthcare, especially addressing data privacy and security, developing novel data visualization methods to enhance diverse communications in healthcare, designing interfaces for health-related software or devices
Social and societal impacts of healthcare, such as health disparities, inequities, and/or public policy.
A range of methodological, disciplinary, and theoretical approaches are relevant to study of complex Health Informatics phenomena. We thus invite applications from scholars from diverse disciplines including but not limited to information studies, data science, psychology, population health, nursing, human factors, communication, anthropology, political science, sociology, and computer science. Our intent is to recruit scholars with compelling human-centric research agendas 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 www.ischools.org. For more information, please feel free to contact the search committee chair, Prof. Ying Ding, at .

Successful candidates will address the intersection of health, information, and technology, including a focus on relevant stakeholders including but not limited to patients, medical providers, allied health professionals, and care givers. Candidates focused on human-centered design and use of information technology for human benefit, social good, and/or social justice in local and global contexts, including critical theory and perspectives, will fit well within the culture of our school and are particularly encouraged to apply.

Tenure-track faculty at the School of Information at the University of Texas at Austin normally have a 2/1 teaching load. Salaries are competitive.

Company:

UT Austin

Qualifications:

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 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 broadening their scholarly fields and/or institutions of higher education are especially encouraged to apply.

Applications should make a compelling case for the intellectual contribution and merit of their research agenda. Candidates are encouraged to identify the research communities in which they are developing membership and to which their research trajectory will contribute. In addition to scholarly publications, the school values research contributions via artifacts (e.g., datasets, software, exhibits, standards); candidates with these contributions are encouraged to highlight the artifacts created and the intellectual contributions made by this work. Similarly, the school values direct impact via translational research; candidates with these contributions are encouraged to highlight the communities with which they work and the potential broader impacts of the work.

Educational level:

Ph. D.

How to apply:

Please mention NLP People as a source when applying

https://apply.interfolio.com/132381

Tagged as: Academia, Data Visualization, NLP, Ph. D., United States