Professor - Medical Ethics jobs in Wisconsin

The School of Computer, Data & Information Sciences (CDIS) at the University of Wisconsin-Madison is in the midst of a multi-year effort to build excellence in computing and data ethics across its three constituent departments of Computer Sciences, the Information School, and Statistics. This position will be an academic nine-month, tenure-track appointment at the Assistant Professor level to begin in August 2024. The tenure home will be one of the above three departments, and it will be determined at the time of hire based on the selected candidate's qualifications and interests. Candidates may state departmental preferences in their cover letters but are not required to do so. Further information regarding this initiative can be found at:

Topics of specific interest include: issues of algorithmic fairness, accountability, and transparency, safety, privacy, surveillance, content moderation, platform governance, trust, misinformation, issues of transparency in data collection and processing, reproducibility of analyses, and replicability of experiments (all broadly construed).

Applicants should demonstrate an interest in and ability to do collaborative, cross-disciplinary work that cuts across the boundaries of the three departments and attracts funding support. The successful candidate will contribute to an inclusive, fair, and equitable environment that fosters engagement and a sense of belonging for faculty, staff, students and members of the broader community.

Faculty responsibilities include research and publication, teaching both undergraduate and graduate courses, student advising (both master's and PhD), and service. The successful candidate will conduct scholarly research resulting in publications in high-quality peer-reviewed scholarly venues, acquire external funding to support research and graduate students, and design and teach bachelor's, master's, and doctoral level courses (both online and in person). The candidate will be committed to service within the department, university, and profession appropriate to faculty rank. The successful candidate, as a member of the College of L&S, will proactively contribute to, support, and advance the college's commitment to diversity among all aspects of their teaching, research, and service. It is anticipated this position requires work be performed in-person, onsite, at a designated campus work location.

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.

For more information on diversity and inclusion on campus, please visit:

Required
PhD in Computer Sciences or similar by start of appointment.

Candidates should demonstrate evidence of creativity and excellence in teaching and scholarly research. In addition, the successful candidate will demonstrate experience with fostering or the ability to foster an inclusive and equity-centered teaching, learning, departmental, and research environment where all can thrive.

Full Time: 100%

It is anticipated this position requires work be performed in-person, onsite, at a designated campus work location.

Ongoing/Renewable

AUGUST 19, 2024

Negotiable
ACADEMIC (9 months)

UW-Madison is seeking a diverse set of faculty candidates who will deepen our campus' interdisciplinary research strength in key areas of current and future research promise, as well as faculty candidates who will approach their work in a manner that advances our commitment to research excellence.

The new School of Computer, Data & Information Sciences (CDIS) 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. More information about CDIS can be found at .

The Department of Computer Sciences (CS) is among the oldest and top-ranked computer science departments in the world, renowned for its research in several areas. CS fosters transformative research and building large-scale computing infrastructures, such as HTCondor and CloudLab, and of new interdisciplinary collaborations, programs, and centers, including the Wisconsin Institutes of Discovery (WID). The Information School (iSchool) 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 major as well as two professional masters programs and a PhD degree. The Department of Statistics has 30 regular faculty members, more than 100 PhD students, about 150 MS students, and over 1200 undergraduate majors in statistics and data science. The department is well known for its strong interplay between statistical theory, methodology, and practice. Some faculty members have joint appointments in other departments.

Located at the nexus of four beautiful lakes, Madison, the capital of the state of Wisconsin and home to the University of Wisconsin-Madison, consistently ranks among the top American cities for its quality of life. With the headquarters of medical software company Epic, Microsoft's Jim Gray Systems Lab, Google, and several other technology giants in the area, as well as a strong startup ecosystem, Madison is also among the fastest growing technology hubs in the country.

The College of Letters & Science is committed to creating an inclusive environment in which all of us - students, staff, and faculty - can thrive. Ours is a community in which we all are welcome. Most importantly, we strive to build a community in which all of us feel a great sense of belonging. There is no excellence without diversity in all its forms; diverse teams are more creative and successful than homogeneous ones. We are better when we are diverse and when we acknowledge, celebrate and honor our diversity. In acknowledging and honoring our diversity, we also assume a responsibility to support and stand up for each other.

This position is being posted simultaneously in three job postings, PVL#289464, PVL#289735 and PVL#289706; but, please note that only one (1) vacancy exists. Applicants should submit to one and only one PVL. Having three position vacancy listings allows the Search & Screen Committee to better consider candidates with PhDs from different fields for this position. Please note that applicants will be evaluated based upon submitted application materials and therefore should speak to and include evidence of their qualifications.

Applicants with a PhD in Computer Science or similar field should apply using PVL#289464; AJO link: .
Applicants with a PhD in Information Science or similar field should apply using PVL#289735; AJO link: .
Applicants with a PhD in Statistics or similar field should apply using PVL#289706; AJO link:
.

Applicants should submit to one and only one of the PVLs listed above. Applications from all the PVLs will be evaluated by the same Search & Screen Committee.

All applications must be submitted through Academic Jobs Online. Application materials, including a cover letter, curriculum vitae, research statement, statement of teaching philosophy and, if available, evidence of teaching excellence (such as teaching evaluations), a writing sample, and names and contact information for 3-5 references must be electronically submitted via AJO using the links above.

To ensure full consideration, please submit application materials by December 15th. Applications will be accepted until the position is filled. Questions should be directed to .

A criminal background check will be required prior to employment.

Employment will require an institutional reference check regarding any misconduct. To be considered, applicants must upload a signed 'Authorization to Release Information' form as part of the application. The authorization form and a definition of 'misconduct' can be found here:

Kristin Eschenfelder

608-263-2105
Relay Access (WTRS): 7-1-1. See for further information.

Assistant Professor(FA040)

A48-COL OF LETTERS & SCIENCE/COMPUTER SCI/COMP SCI

Faculty

289464-FA