Key Job Responsibilities:

• These criteria do not prevent the university of the extramural source of funds from receiving some benefit from the appointee's activities. Activities still may be of value to the extramural grantor, or may be useful internally to the university in satisfaction of other grant or contract requirements. The test is whether the work undertaken by the appointee is a necessary and relevant part of the appointee's learning program. However, the "primary benefit" test outlined above does forbid assigning tasks to the appointee which are unnecessary and irrelevant to the learning program or are repetitive beyond that which is necessary to achieve excellence in the activity, even if these tasks do not constitute the major portion of the appointee's activities. Except in rare cases, stipends paid to postdoctoral fellows or trainees are not excludable from gross income for purposes of income tax and thus are fully taxable. Since such stipends are not wages, however, the University will not withhold taxes from monthly stipend checks. Therefore, trainees and fellows may be required to pay estimated taxes on a quarterly basis.

• Appointments as postdoctoral fellows and postdoctoral trainees should be made only if it can be demonstrated that the appointee's activities are primarily for the benefit of the appointee's own learning and research. Otherwise, it is more appropriate to use an employment title such as researcher or scientist. Employment titles apply whenever the duties assigned are under the direct supervision and control of the employer and are primarily for the benefit of the University or granting agency. The work of individuals appointed as postdoctoral fellows or postdoctoral trainees should be independent or self-directed, subject only to such supervision as might be given by a teacher to a student.

Department:

College of Computing & Artificial Intelligence, The Information School, Information Quality Lab

Compensation:

The expected salary for this position is $70,000 (pro-rated based on FTE.)

Required Qualifications:

• 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.

Education:

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.

How to Apply:

For the best experience completing your application, we recommend using Chrome or Firefox as your web browser.

To apply for this position, select either "I am a current employee" or "I am not a current employee" under Apply Now. You will then be prompted to upload your application materials.

Important: The application has only one attachment field. Upload the following documents in that field, either as a single combined file or as multiple files in the same upload area. All listed application materials must be submitted for your application to be considered. Please submit only the materials specified; additional materials will not be reviewed.

To be considered for this recruitment, you must upload:

• Resume/Curriculum Vitae
• Cover Letter

The materials should address your experience relating to the qualifications referenced above. Specifically, applicants should describe why they are interested in this position and how their previous experience makes them qualified.

Contact Information:

Amy Maurer, asmaurer@wisc.edu, 608-263-2942
Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information.

Institutional Statement on Diversity:

Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals.

The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world.

The University of Wisconsin-Madison is an Equal Opportunity Employer.

Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence by acknowledging skills and expertise from all backgrounds and encourage all qualified individuals to apply. For more information regarding applicant and employee rights and to view federal and state required postings, visit the Human Resources Workplace Poster website.

To request a disability or pregnancy-related accommodation for any step in the hiring process (e.g., application, interview, pre-employment testing, etc.), please contact the Divisional Disability Representative (DDR) in the division you are applying to. Please make your request as soon as possible to help the university respond most effectively to you.

Employment may require a criminal background check. It may also require your references to answer questions regarding misconduct, including sexual violence and sexual harassment.

The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis. Stat. sec. 19.36(7).

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