The Information Quality Lab in the University of Wisconsin–Madison Information School seeks a Postdoctoral Fellow to conduct research in the areas of research quality, scientometrics, and metascience, under the mentorship of Dr. Jodi Schneider.
In this role you will receive mentoring and community support to prepare for permanent appointments both inside and outside of academia. The successful candidate will work with Dr. Schneider to create an individual development plan.
The successful candidate will lead, conduct, and publish research, and write grant proposals, in an interdisciplinary environment. Key work will be to (1) conduct a scoping review of the literature; and (2) to develop and test scientometric indicators of epistemic integrity, methodological rigor, and innovation for the project CULTIVATE: Transforming Scientific Systems by Cultivating Virtue Ethics in Scientists. CULTIVATE is led by a team of three UW–Madison faculty members: Dr. Schneider (bibliometrics); a clinical psychologist at the Center for Healthy Minds (psychometrics); and an STS-inflected historian the UW–Madison Department of Medical History and Bioethics (ethnographic and qualitative analysis to guide bibliometric development).
Key job responsibilities:
- Lead, conduct, and publish research in consultation with Dr. Schneider
- Design research projects, write grant proposals, and mentor junior researchers
- Develop and execute a personal individual development plan to become eligible for permanent positions in your field, both inside and outside of academia, under the guidance of Dr. Schneider
The Information Quality Lab is a diverse group of researchers directed by Dr. Jodi Schneider. We value interdisciplinarity, sociotechnical perspectives, and diverse life experiences and world views. The Information Quality Lab invents tools and strategies for managing information overload in science, and for ensuring that high quality information is easy to find and use. The lab’s technical perspective draws on data science, argumentation theory, knowledge representation and reasoning, informatics, meta-science, computer supported cooperative work, and human-computer interaction. Technical skills commonly used in the lab include data science (network analysis, text mining, machine learning), knowledge representation (ontologies and semantic technologies), formal analysis and conceptual modeling, prototyping, annotation, mixed methods research, and user-based evaluations. Typical applications areas include digital libraries, health informatics, evidence synthesis, computer support for debate and argumentation, and bibliographic information retrieval (especially retrieval and quality of medical information).
We are part of the The Information School (iSchool), which has been home to research and teaching that elevates questions of public good, people, and community in relation to computing, data and information for over 100 years. It is in a period of growth, more than doubling its faculty and enrollments over the past five years. It hosts the new Information Science undergraduate major as well as two professional master’s programs and a PhD degree. The iSchool is part of the new College of Computing & Artificial Intelligence which is committed to interdisciplinary and cross-campus research collaborations, establishment of innovative educational programs in the intersection of computing and other domains, and engagement with high-impact, real-world challenges.
Required Qualifications:
- A PhD in any field (including, but not limited to, metascience, science of science, informatics, science policy, information sciences, information studies, library & information science, computational social sciences, etc.), earned within the last 5 years.
- Interest in interdisciplinary research.
- Excellent critical thinking, written and spoken English, and project management skills.
Preferred Qualifications:
- Training and/or publications in fields relevant to meta-research or meta-science, such as scientometrics or data-intensive research about science.
- Training and/or publications in formal literature reviewing methodologies.
- Evidence of interdisciplinary research through scholarly publications or translational / implementation science projects.
- Interest or experience in mixed methods research.
- Interest or experience in grant writing.
- Interest or experience mentoring undergraduate and graduate student research.
- The ability to contribute to a positive, collaborative climate with students, faculty, and staff.
Compensation: $70,000 with benefits and paid holiday/leave for a 1-year full-time position.
Anticipated start date: As soon as practicable.
To apply, submit your CV and cover letter with answers to short questions in this Google Form. Applications received by Wednesday September 23, 2026 are guaranteed consideration. While the position remains open, positions will be reviewed weekly each Monday.
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