Job Description Summary
Organization's Summary Statement:
Founded more than 50 years ago with a specific commitment to advancing social justice, the INFO
College enrolls over 2,500 students in nine degree programs: Ph.D. in Information Studies, Master
of Library and Information Science (MLIS), Master of Information Management (MIM), Master of
Science in Human-Computer Interaction (HCIM), Master of Professional Studies in Data
Journalism, Master of Professional Studies in Game, Entertainment, and Media Analytics, Bachelor
of Science in Information Science (InfoSci), Bachelor of Science in Social Data Science (SDSC), and
Bachelor of Arts in Technology and Information Design. Faculty members across these programs
take advantage of our interdisciplinary environment through their teaching and collaborative
research. These programs are offered in the classroom at College Park and Shady Grove campuses,
online, and in blended formats. INFO is also home to multiple research centers and labs such as the
Human Computer Interaction Lab (HCIL), Trace Research and Development Center, Social Data
Science Center, Youth Experience Lab, among others.
Minimum Qualifications
Ph.D. completed or to be completed by August 2025 in psychology (social, industrial/organizational, applied experimental), organizational behavior, communication, human-computer interaction, human factors, business technology, or other related fields.
Excellent written and verbal communication skills.
Background in human subjects research including ethical practices.
Quantitative data management and analysis expertise.
U.S. citizen.
Preferred Qualifications
Demonstrated research capacity in team cognition, group processes, human-AI teams from a social science perspective, and/or computer-supported collaboration.
Familiarity with research on emergent states, such as transactive memory systems, shared mental models, and other team cognition and emergent group processes.
Experience with self-report surveys and psychometrics.
Experience with unobtrusive quantitative measures.
Experience with qualitative (interview, focus group) data collection and analysis methods.
Experience working with large datasets.
Strong publication record in relevant domains.
Committed to conducting human-centered research.
Experience with collaborative and interdisciplinary research projects.
Experience collaborating with professional populations.
Committed to high-quality mentoring and collaborating with junior colleagues.
Ability to prioritize attention among various time-sensitive deliverables across projects.
Ability to alternate between autonomy and taking specific direction.
Additional Job Details
Position Duties/Summary:
The Contextualized Human-Agent System for Intelligence Activities (CHASIA) project team is seeking a postdoctoral associate starting in early September 2025 focused on supporting a Department of Defense-funded larger project. This larger project is dedicated to developing and testing AI supports in the context of collaborative judgment formation and team cognition with collaborative intelligence analysis activities. The postdoctoral researcher will be embedded within the Technical Area 1 team within the larger project (our specific project is named CHASIA). Collectively and including the postdoctoral associate, the CHASIA team is charged with bringing social science theory and empirical testing to the multidisciplinary larger project. Members of the CHASIA team currently have backgrounds in social/personality psychology, organizational behavior, applied psychology, computer science, and more. We are located at the University of Maryland (UMD) College of Information (INFO), Fraunhofer USA Mid-Atlantic, and Duquesne University. The team will use a variety of research methods (e.g., naturalistic experiments, interviews, focus groups). The postdoctoral associate will design studies (e.g., controlled human subjects experiments with a variety of types of participants, interviews with subject matter experts), collect and analyze data quantitatively and qualitatively, develop measures, and collaborate with the larger project team in figuring out how best to examine the role of AI support of intelligence activities. The postdoctoral associate will also mentor and collaborate with graduate students and undergraduates, as well as collaborate with and learn about this evolving area along with researchers across different disciplines and institutions. The postdoctoral associate will have the opportunity to advance their research agenda through formal and informal training and extensive collaboration with the researchers in INFO and across the greater project, which includes researchers at additional institutions. The postdoctoral associate is expected to interface, coordinate, and collaborate with both the CHASIA team and the larger team. In collaboration with both the CHASIA team and the larger project group the selected researcher will present and publish peer-reviewed contributions and other articles.
The postdoctoral researcher will receive support and mentoring during the project. In addition to working with this project, the researcher will participate in the intellectual life of the UMD INFO College. For instance, the postdoc will be expected to be involved with the Organizational Teams and Technology Research Society (OTTRS), which is based in UMD INFO but includes scholars from different disciplines across the DC area.
Ideal applicants will have a background in psychology (social, industrial/organizational, applied experimental), organizational behavior, communication, human-computer interaction, business technology, human factors, and/or a related field. Background in team cognition, group processes, human-AI teaming from a social science perspective, and/or computer-supported collaboration with expertise on emergent states, such as transactive memory systems, is preferred. Ideal candidates will have experience with quantitative methods, with additional expertise in or a desire to learn qualitative methods. Candidates should be comfortable working with large datasets and ideally have some familiarity with developing unobtrusive behavioral measures. Ideal candidates will have demonstrated success working on teams and be interested in working on collaboration and technology topics.
INFO is committed to building an inclusive community, and we strongly encourage scholars from underrepresented groups to apply for this position. We believe that a range of perspectives and experiences enrich our community and academia as a whole. We are committed to creating a welcoming and supportive environment for all members of our community, and we look forward to hearing from a large pool of applicants with a wide range of experiences, interests, and expertise.
Candidates should have defended their dissertation by August 2025. The postdoctoral researcher is a full-time position available for a fixed term of one year, from early September 2025. The postdoctoral researcher will work under the guidance of Dr. Susannah Paletz at INFO and will be conducting the above-mentioned duties on-site in College Park, Maryland.
Required Application Materials:

A letter of interest that clearly describes your background and expertise in the area and the unique contributions you can make to the CHASIA project
Your CV
A list of 3 professional references. For each reference include the person's title, institution, contact information (including phone number and email address), the capacity in which you know this person, and how long you have known this person.
A statement of your research interests and accomplishments

Best Consideration Date:
August 19, 2025
Posting Close Date:
September 6, 2025
Open Until Filled: No
Financial Disclosure Required
For more information on Financial Disclosure, please visit Maryland's State Ethics Commission website.
Department
INFO-College of Information Studies
Worker Sub-Type
Faculty Regular
Salary Range
$80,000-$82,000
Benefits Summary
For more information on Regular Faculty benefits, select this link.
Background Checks
Offers of employment are contingent on completion of a background check. Information reported by the background check will not automatically disqualify anyone from employment. Before any adverse decision, the finalist will have an opportunity to provide information to the University regarding disclosable background check information. The University reserves the right to rescind the offer of employment or otherwise decline or terminate employment if the information reported by the background check is deemed incompatible with the position, regardless of when the background check is completed.
Employment Eligibility
The successful candidate must complete employment eligibility verification (on Form I-9) by presenting documents that establish identity and work authorization within the timeframe required by federal immigration law, and where applicable, to demonstrate renewed employment authorization. Failure to complete employment eligibility verification or reverification within the timeframe set forth by law may result in suspension or termination of employment.
EEO Statement
The University of Maryland, College Park is an Equal Opportunity Employer. All qualified applicants will receive equal consideration for employment. Please read the University's Equal Employment Opportunity Statement of Policy.
Title IX Non-Discrimination Notice
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