ASSISTANT, ASSOCIATE, OR PROFESSOR - ARTIFICIAL INTELLIGENCE - CLUSTER HIRE

Job no: 234429-FA
Work type: Faculty Full or Part Time, Faculty-Full Time, Faculty-Part Time
Department: SMPH/RADIOLOGY/RADIOLOGY
Location: Madison
Categories: Health Care, Medical, Social Services



Position Summary:

The University of Wisconsin-Madison is seeking to fill one faculty position in UW School of Medicine and Public Health in the field of Artificial Intelligence for Radiologic applications. The position is a part of a campus-wide cluster hiring initiative to add to the vibrant community through basic and applied research in the area of artificial intelligence specifically for Radiologic applications and/or Medical Imaging. Participating units include: UWSMPH Departments of Radiology, Medical Physics, and Biomedical Informatics, the College of Engineering, School of Business, and the Computer, Data, and Information School at UW-Madison. Tenure home will be determined at the time of hire based on the selected candidate's qualifications and interests. Further information regarding this initiative can be found at: https://facstaff.provost.wisc.edu/cluster-hiring-initiative/ .

In this lead position for the Cluster hire, the UWSMPH Department of Radiology is seeking an Assistant, Associate or Professor on the tenure track with a focus in Artificial Intelligence as applied to Radiologic applications. The primary role of the successful candidate will be to lead an independent research program with a focus on developing, implementing, and validating artificial-intelligence (AI)-based radiologic applications, and to collaborate with other investigators to translate novel validated AI methods into widespread research and clinical use. AI applications can be in the areas of workflow, image prescription, data acquisition, image reconstruction, image processing or analysis, computer-aided diagnosis, or other radiologic areas. The successful candidate may also develop data science-based radiologic applications that integrate a wide array of additional data sources, including genomic, proteomic, and laboratory medicine databases, as well as information contained in electronic medical records.

UW-Madison has world-class experts in AI within multiple departments, including Electrical and Computer Engineering, Computer Sciences, and Statistics, as well as a world-class medical imaging experts in the Departments of Radiology and Medical Physics, as well as other departments. The successful candidate will have requisite skills to instigate and participate in collaborative science involving these experts with diverse expertise, which is essential given the highly multidisciplinary nature of AI and radiologic research. The successful candidate will identify experts with common interests involving radiologic applications of AI, and focus the efforts of these experts.

The successful candidate will enjoy outstanding opportunities for collaboration in multiple departments, including Radiology, Medical Physics, Medicine, Pathology, Biostatistics and Medical Informatics, Electrical and Computer Engineering, Computer Sciences, Statistics, and Biomedical Engineering. In addition, this position is highly synergistic with a number of institutes, centers and initiatives at the University of Wisconsin-Madison, including the Center for High Throughput Computing (CHTC), the Morgridge Institute for Research, the Center for Predictive Computational Phenotyping (CPCP), the Computation and Informatics in Biology and Medicine (CIBM) training program, the Wisconsin Institute for Healthcare Systems Engineering, the Machine Learning @ UW ( http://machinelearning.wisc.edu ) initiative, and the Machine Learning for Medical Imaging ( http://www.radiology.wisc.edu/research/medical-imaging-machine-learning-initiative ) initiative.

In summary, the successful candidate will lead an independent research program focusing on developing AI for radiologic applications, will build and grow collaborations with colleagues across campus, and will serve as a catalyst for the development and translation of novel research.

Principal Duties:

PRINCIPAL DUTIES:
60% Conduct independent, grant-funded research in developing, implementing, and validating radiologic applications of artificial intelligence (AI) in the areas of workflow, image prescription, data acquisition, image reconstruction, image processing or analysis, computer-aided diagnosis, data-science-based interpretation and analysis of data from a multitude of sources, or other similar areas.
1. Apply for, and obtain, extramural funding to support research projects focusing on radiologic applications of AI.
2. Collaborate with other UW faculty and scientists in the Departments of Radiology, and investigators in departments and schools across campus, and industrial partners in developing radiologic applications of AI.
3. Attend scientific conferences and meetings to present scientific research results, moderate sessions, participate on committees and in working groups, etc.
4. Write and submit manuscripts to professional journals describing results of research projects.
5. Mentor and conduct research with graduate students, post-docs, and scientists.
6. Build research collaborations with cross-campus collaborators.

30% Collaborate with clinical and basic science colleagues participating in developing, implementing, or validating radiologic applications of AI.
1. Be a local expert for colleagues in the Department of Radiology seeking guidance regarding developing, implementing, or evaluating radiologic applications of AI.
2. Work with the UW Health Chief Information Officer, the UWSMPH Chief of Biomedical Informatics, the Radiology Director of Informatics in assessing and addressing the AI computational and other resource needs of the Department of Radiology.
3. Work with others in ensuring the continued success of the Machine Learning for Medical Imaging (ML4MI) initiative.
4. Work with others in establishing and overseeing successful collaborations with industrial partners including GE Healthcare, Change Healthcare, HealthMyne, EPIC, and others.
5. Work with others in establishing policies for data sharing and addressing challenges that arise in this new era of AI.
6. Work with others in writing instrumentation or other grants to support the AI needs of the department.

10% Teaching
1. Develop a graduate course focusing on teaching the principles of radiologic applications of AI.
2. Teach faculty, scientists, fellows, residents, and graduate students the principles of radiologic applications of AI, by presenting departmental lectures and providing mentoring as needed.
3. Organize and participate in boot camps and workshops to teach the principles of radiologic applications of AI.
4. Participate in teaching AI modules in other courses as needed.
5. Participate in educational lectures at international conferences.

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

Degree and Area of Specialization:

MD/DO required or PhD required in the area of Medical Imaging, Medical Physics, Computer Science, Data Science, Informatics, or related field.

Minimum Years and Type of Relevant Work Experience:

Candidate must have 2 years of post-degree training, and 5 years of post-degree work experience in developing artificial intelligence (AI) solutions to address radiologic needs. Experience in leading an independent research group, and success in securing extramural funding from agencies such as NIH or similar agencies required.

The candidate must have at least 75 peer reviewed publications, 10 years of teaching experience, 5 years of leadership experience, more than $1M in extramural funding, and experience with artificial intelligence for medical imaging, especially CT and MRI.

Appointment at rank other than Assistant Professor will require that candidate meets criteria for the tenure rank at UW-Madison. Additionally, UW School of Medicine and Public Health guidelines apply for appointment at full or associate professor rank.

Additional Information:

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 candidate who will approach their work in a manner that advances our commitment to research excellence.

The School of Medicine and Public Health has a deep and profound commitment to diversity both as an end in itself but, also as a valuable means for eliminating health disparities. As such, we strongly encourage applications from candidates who foster and promote the values of diversity and inclusion.

Department(s):

A539300-MEDICAL SCHOOL/RADIOLOGY/RADIOLOGY

Work Type:

Full or Part Time: 50% - 100%

Appointment Type, Duration:

Ongoing/Renewable

Anticipated Begin Date:

NOVEMBER 25, 2021

Salary:

Negotiable
ANNUAL (12 months)

Instructions to Applicants:

The deadline for assuring full consideration is November 20, 2021, however positions will remain open and applications may be considered until the position is filled. Applications must be received through the UW Job Application system (TREMS). Applications submitted outside of TREMS will not be considered.

Interested candidates are required to use the online UW Job Application system to submit the following:
-Current Curriculum Vitae (CV)
A cover letter describing 1) your interest in this position, 2) what you would bring to the Department of Radiology, 3) how the Department could contribute to your career, and 4) how you would contribute to the Department mission to foster an inclusive, equitable, and diverse workplace.

References will be requested as part of the recruitment process.

Contact:

Sheena Frydrych
sheena.frydrych@fammed.wisc.edu
608-263-0915
Relay Access (WTRS): 7-1-1 (out-of-state: TTY: 800.947.3529, STS: 800.833.7637) and above Phone number (See RELAY_SERVICE for further information. )





Official Title:

PROFESSOR(C20NN) or ASSOCIATE PROFESSOR(C30NN) or ASSISTANT PROFESSOR(C40NN)

Employment Class:

Faculty

Job Number:

234429-FA

The University of Wisconsin is an Equal Opportunity and Affirmative Action Employer. We promote excellence through diversity and encourage all qualified individuals to apply.

If 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/

The University of Wisconsin-Madison is engaged in a Title and Total Compensation (TTC) Project to redesign job titles and compensation structures. As a result of the TTC project, official job titles on current job postings may change. Job duties and responsibilities will remain the same. For more information please visit: https://hr.wisc.edu/title-and-total-compensation-study/ .

Employment will require a criminal background check. It will 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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Applications Open: Jun 17 2021 Central Daylight Time
Applications Close: