Assistant Professor, Applied Computing

Assistant Professor
Department of Applied Computing,
Michigan Technological University

Type: Full-time
Category: Health Informatics

Job Description:
Michigan Technological University and the Department of Applied Computing’s MS in Health Informatics program invite applications for a tenure track faculty position at the rank of Assistant Professor. Applicants with the education, experience, knowledge, skills, abilities, and accomplishments commensurate with a higher rank may be considered for an appointment at the rank of Associate Professor or Professor.

The successful candidate will have an earned doctorate in health informatics, biomedical data science, biomedical informatics, computational medicine, or a closely related discipline at the time of employment. Applicants with research and/or teaching interests in the following area(s) are encouraged to apply: biomedicine and healthcare machine learning and AI, clinical decision support systems (CDSS), health data analytics and big data, computational epidemiology, medical imaging and computer vision, longitudinal data analysis, mHealth and Internet of Medical Things (IoMT), health informatics ethics, security and privacy, and additional related areas. Michigan Tech attracts world-class faculty and staff who enrich the educational experience of smart, motivated, and adventurous students.

Applicants who are committed to promoting a sense of belonging and contributing to an equitable and inclusive learning environment for all are strongly encouraged to apply (https://www.mtu.edu/diversity-inclusion/).
Essential Duties:
● Contribute in a meaningful way to the mission of Michigan Tech’s College of Computing: To advance the transformational promise of computing in the service of society through excellence in teaching, research, and outreach.
● Develop a vigorous externally funded research program in areas of interest while fostering internal and external collaborations.
● Engage in undergraduate and graduate teaching and mentorship while maintaining a high level of student engagement.
● Participate in department, college, university, and professional service activities.
● Integrate safety practices into daily activities and commit to learning about continuous improvement strategies and applying them to everyday work.

Required Qualifications:
● Earned doctorate in health informatics, biomedical data science, biomedical informatics, computational medicine, or closely related discipline at the time of employment.
● Demonstrated experience in graduate and undergraduate teaching, mentorship, and/or student success.
● Research activity leading to the publication of scholarly work in venues appropriate to the field of study.
● Experience with external funding resources and opportunities utilized by U.S. or international academic institutions, e.g., NIH, NSF, CDC, AHRQ, PCORI, HRSA, AMA, FDA, VA, and others.
● Ability to develop and successfully complete research projects in a collaborative environment.
● Strong oral and written communication and presentation skills to a diverse audience.

Preferred Qualifications:
● Teaching experience in an institution of higher education.
● Applicants with research and/or teaching interests in the following area(s) are encouraged to apply: biomedicine and healthcare machine learning and AI, clinical decision support systems (CDSS), health data analytics and big data, computational epidemiology, medical imaging and computer vision, longitudinal data analysis, mHealth and Internet of Medical Things (IoMT), health informatics ethics, security and privacy, and additional related areas.
● Industrial or entrepreneurial experience in areas of expertise.
● Service activities at higher education institutes or professional organizations such as AMIA, HIMSS, IMIA, ISDS, PHII, ANIA, IEEE, MICCAI, and others.
● Demonstrated ability to design and deliver an academic course in areas of expertise using the mediums of on-campus and online formats.
● Ability to lead and manage a research team, including graduate students, undergraduate students, research staff, and other faculty.
● Demonstrated success in, or potential future contributions to, working with persons from diverse backgrounds, creating a sense of belonging, and fostering a fair, objective, welcoming place to work for persons with a wide variety of personal characteristics and viewpoints.

This job is scheduled to begin Fall Semester 2024. For full consideration, complete application packages should be received by November 15, 2023; however, applications will be considered until the position is filled.
To apply, visit http://www.employment.mtu.edu/cw/en-us/job/493363.

We strongly encourage applicants to address the required and desired qualifications in their cover letter along with an explanation of how they will contribute to the Vision and Mission of Michigan Tech.

Applicants will need to upload the following documents:
● Cover Letter
● Curriculum Vitae
● Research Statement
● Teaching Statement
The Department of Applied Computing was launched in 2020 and is one of two academic departments in the College of Computing at Michigan Tech, which was launched in 2019. Areas of teaching and research in the department include health informatics, cybersecurity, computer network and system administration, electrical engineering technology, and mechatronics. For more information about the department see https://www.mtu.edu/applied-computing/.

Michigan Technological University, one of the four major research universities in the State of Michigan, is in Michigan’s Upper Peninsula adjacent to Lake Superior. The community offers a small-town environment with outstanding four-season recreational opportunities. Michigan Tech is located in Houghton, MI on the south shore of Lake Superior. Michigan Tech is proud to be an ADVANCE Institution that has thrice received National Science Foundation support to increase diversity, inclusion, and the participation and advancement of women and underrepresented individuals in STEM.

Michigan Tech recognizes the importance of supporting faculty members’ partners; candidates selected for on-campus interviews will be invited to bring a guest. Additional details on our Partner Engagement Program can be found at https://www.mtu.edu/provost/programs/partner-engagement/.

Michigan Tech is an Equal Opportunity Educational Institution/Equal Opportunity Employer that provides equal opportunity for all, including protected veterans and individuals with disabilities.

Every employee at Michigan Technological University will receive the following 4 required trainings; additional training may be required by the department.
Required University Training:
• Employee Safety Overview
• Anti-Harassment, Discrimination, Retaliation Training
• Annual Data Security Training
• Annual Title IX Training
Background Check:
Offers of employment are contingent upon and not considered finalized until the required background check has been performed and the results received and assessed.

Other Conditions of Employment:
The successful applicant will be responsible for ensuring eligibility for employment in the United States on or before the effective date of the appointment. This is not an E-Verified Position.
Michigan Technological University is an Equal Opportunity Educational Institution/Equal Opportunity Employer that provides equal opportunity for all, including protected veterans and individuals with disabilities.