Job Summary:
The Wisconsin Research, Innovation and Scholarly Excellence (RISE) Initiative is designed to help address significant, complex challenges of particular importance to Wisconsin and the world, through accelerated and strategic faculty hiring, research infrastructure enhancement, interdisciplinary collaboration and increased student and educational opportunities. RISE-AI will strengthen the university's ability to address challenges and opportunities in artificial intelligence, translating discoveries into tangible benefits at home in Wisconsin and beyond. In total the RISE-AI hiring initiative will add 4 new faculty members at all ranks to this existing AI community in the College of Agricultural and Life Sciences at UW-Madison.
As part of this initiative the College of Agricultural and Life Sciences seek applicants at all ranks with a distinguished academic record and exceptional potential focused on utilizing AI/ML tools to drive discovery in the life sciences. We are recruiting for multiple faculty in this space. Successful candidates will have the flexibility to select their tenure-home in alignment with college and departmental priorities. The successful candidate will contribute to the research and teaching missions of both the department and the college. See https://cals.wisc.edu/ for more information about the college.
Successful candidates will develop an innovative research program that leverages advanced AI techniques to uncover novel biological insights, contribute to understanding complex systems, and drive discoveries in grand challenges in biological sciences. Teaching responsibilities will include graduate and undergraduate courses consistent with departmental and college teaching load expectations in the candidate's area of research expertise and/or the broad areas of bioinformatics and computational biology.
Responsibilities:
Teaching undergraduate and graduate courses and contributing to curriculum updates and innovations to educate a diverse student body; mentoring graduate students and supervising their research; developing and directing a well-recognized and extramurally funded research program; participating in departmental and university faculty governance; contributing to professional and public service, and participating in interdisciplinary and collaborative efforts with other departments, schools and colleges.
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.
For more information on diversity and inclusion on campus, please visit: Diversity and Inclusion
Education:
Required
PhD in a life sciences or related field with expertise in developing and utilizing AI systems for advancing life sciences.
Qualifications:
The successful candidate will have an excellent academic record, a vision for an innovative, significant and impactful research program, the skills to implement it, and a commitment to high quality and inclusive undergraduate and graduate instruction and mentoring.
Ideal candidates will have a strong background in bioinformatics, computational biology, or a related field, with a specific emphasis on integrating and analyzing large-scale data or implementing existing AI methods, developing new models, and validating or comparing results from traditional analytical methods to solve fundamental questions in biology.
The candidate's years of experience and professional accomplishments will be commensurate with the rank sought. Associate and Full professor candidates must possess experience and scholarly credentials that meet the tenure standards of the UW-Madison Divisional Committee and of the College of Agricultural and Life Sciences.
Work Type:
Full Time: 100%
It is anticipated this position requires work be performed in-person, onsite, at a designated campus work location.
Appointment Type, Duration:
Ongoing/Renewable
Anticipated Begin Date:
AUGUST 18, 2025
Salary:
Negotiable
ACADEMIC (9 months)
Additional Information:
This position is part of the Wisconsin Research, Innovation and Scholarly Excellence (RISE) Initiative. Through accelerated and strategic faculty hiring, research infrastructure enhancement, interdisciplinary collaboration, and increased student and educational opportunities, RISE addresses complex societal challenges of importance to the state, nation and world. Building on UW-Madison's strengths, RISE expands the University's successful track record of connecting with communities and industry on collaborative solutions.
Over the next three academic years, UW-Madison will substantially increase current hiring levels,
bringing 150 new RISE faculty to campus. Candidates hired through RISE will join a community of
scholars working across disciplines, schools and colleges on research, teaching and outreach endeavors. The community will engage regularly in venues such as seminar series and colloquia to share ongoing projects and identify opportunities to work together. The University will support the community, facilitating access to research infrastructure, and funding to support broad and rich collaboration. Further information regarding RISE can be found at: https://rise.wisc.edu/
Keywords:
Proteomics, machine learning, artificial intelligence, genomics, transcriptomics metabolomics, evolution, microbiology, medicine, systems biology
How to Apply:
Applicants will be asked to upload a cover letter, curriculum vitae, and statement of research and teaching interests in one complete file upload. Applicants must also provide the contact information for three references within the application. References will be contacted for finalists.
The deadline for assuring full consideration is November 17, 2024, however positions may remain open and applications may be considered until the position is filled.
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: https://hr.wisc.edu/institutional-reference-check/
Contact:
Jeri Barak-Cunningham
jeri.barak@wisc.edu
608-890-2581
Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information.
Official Title:
Professor(FA020) or Associate Professor(FA030) or Assistant Professor(FA040)
Department(s):
A07-COL OF AG & LIFE SCIENCES/ADMIN/DEAN & DIR
Employment Class:
Faculty
Job Number:
306781-FA
The University of Wisconsin-Madison is an Equal Opportunity and Affirmative Action Employer.
Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, gender identity, 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 through diversity and encourage all qualified individuals to apply. For more information regarding applicant and employee rights and to view federal and state required postings,
click hereIf you need to request an accommodation because of a disability, you can find information about how to make a request at the following website:
https://employeedisabilities.wisc.edu/disability-accommodation-information-for-applicants/Employment may require a criminal background check. It may also require you and your references to answer questions regarding 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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