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Assistant Professor In Human Computer Interaction Jobs in Ann Arbor, MI

EducationBachelor 's degree in Human-Computer Interaction (HCI), Psychology, Design, Information Architecture, or a related field (or equivalent professional experience). Portfolio: A portfolio or ...

Bachelor's degree in design, human-computer interaction (HCI), software engineering, or a related field. Master's preferred. * Education or experience in user-centered design techniques. * Deep ...

Education Bachelor's degree in Human-Computer Interaction (HCI), Psychology, Design, Information Architecture, or a related field (or equivalent professional experience). Portfolio: A portfolio or ...

Education Bachelor's degree in Human-Computer Interaction (HCI), Psychology, Design, Information Architecture, or a related field (or equivalent professional experience). Portfolio: A portfolio or ...

Showing results 41-60

Assistant Professor In Human Computer Interaction information

See Ann Arbor, MI salary details

$41.6K

$78.3K

$132.1K

How much do assistant professor in human computer interaction jobs pay per year?

As of Aug 12, 2026, the average yearly pay for assistant professor in human computer interaction in Ann Arbor, MI is $78,322.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,700.00 and $89,500.00 per year, depending on experience, location, and employer.

What does an assistant professor in human computer interaction do?

An Assistant Professor in Human Computer Interaction (HCI) is an academic professional who teaches courses, conducts research, and mentors students in the field of HCI. Their work often involves exploring how people interact with computers and designing technology that improves user experiences. They may publish research, apply for grants, and collaborate with industry partners. Additionally, they often serve on academic committees and help develop curriculum related to HCI.

What are some typical challenges faced by an assistant professor in human computer interaction when balancing research and teaching responsibilities?

Assistant Professors in Human Computer Interaction often juggle significant teaching loads with the expectation to produce impactful research. Balancing these responsibilities can be challenging, as preparing engaging coursework and mentoring students require substantial time and effort, while maintaining a strong publication record is critical for career advancement. Collaborating with colleagues, seeking mentorship, and effectively managing time are essential strategies to meet both teaching and research goals. Many institutions offer support through teaching assistants, research grants, and professional development workshops to help new faculty succeed.

What are the key skills and qualifications needed to thrive as an assistant professor in human computer interaction?

To thrive as an Assistant Professor in Human Computer Interaction, you need a strong background in HCI research, a relevant doctoral degree, and experience in teaching and curriculum development. Familiarity with prototyping tools (such as Figma or Sketch), programming languages (like Python or JavaScript), and research methodologies is essential, as are a strong publication record and grant-writing skills. Excellent communication, collaboration, and mentorship abilities help you engage students and work effectively with colleagues. These skills and qualifications enable you to advance academic research, deliver high-quality education, and contribute meaningfully to the growth of the HCI field.
What are popular job titles related to Assistant Professor In Human Computer Interaction jobs in Ann Arbor, MI? For Assistant Professor In Human Computer Interaction jobs in Ann Arbor, MI, the most frequently searched job titles are:
What job categories do people searching Assistant Professor In Human Computer Interaction jobs in Ann Arbor, MI look for? The top searched job categories for Assistant Professor In Human Computer Interaction jobs in Ann Arbor, MI are:
What cities near Ann Arbor, MI are hiring for Assistant Professor In Human Computer Interaction jobs? Cities near Ann Arbor, MI with the most Assistant Professor In Human Computer Interaction job openings:
Infographic showing various Assistant Professor In Human Computer Interaction job openings in Ann Arbor, MI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution, with an average salary of $78,322 per year, or $37.7 per hour.

AI + Education Tenured Faculty Position Description

University of Michigan

Ann Arbor, MI • On-site

Full-time

Re-posted 5 days ago


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8.1

Company rating: 8.1 out of 10

Based on 145 frontline employees who took The Breakroom Quiz

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Job description

Description
Michigan engineers play a key role in solving society's greatest challenges. We anticipate the global, technological and educational changes ahead - positioning our institution to lead engineering education and research.
As part of the Provost's Faculty Expansion Program (FEP), we seek candidates with exceptional potential to expand our capacity for transformative inquiry in high-impact areas of research/scholarship and societal challenge. Targets of this open position are mid-career tenure-track faculty who will catalyze, collaborate, and provide intellectual and institutional leadership in areas aligned with: Generative AI and Engineering Education; Intelligent Learning Environments; AI and K-12 Education/Assessment; AI Literacy; AI and Ethics in Engineering; Robotics and Ethics Education; Cybersecurity and Ethics; and related areas.
We seek a scholar whose research and development programs have focused on the development and application of learning technologies to achieve various learning opportunities, teaching practices, policies, and engineering and education systems. We also seek a scholar who has demonstrated the capacity to contribute to the creation and use of scholarship in both learning sciences and engineering, with strong methodological training in quantitative, qualitative, or multiple methods, who are able to teach at the undergraduate and graduate levels, and who seek to influence practice and policy across both engineering and education professions.
This position seeks one tenure-track faculty member (with an emphasis on midcareer/senior candidates) who will hold a home appointment in Computer Science and Engineering (CSE) or Robotics (ROB) and as a core Engineering Education Research (EER) faculty. Candidates with expertise in artificial intelligence, augmented reality, and virtual reality, particularly in applying these technologies to education, may be of special interest.
Qualifications
Required Qualifications:
  • PhD in engineering, computer science, computer engineering, human-computer interaction, robotics, engineering education, learning sciences, or related field demonstrating an exemplary track record in research, teaching, and service commensurate with a tenured advanced associate or full professor appointment.
  • An established program of research and publication.
  • A track record of developing and securing grants to support research, or the promise of developing such a record.
  • A strong interest in advising and mentoring graduate students.
  • Visionary leadership abilities, a broad appreciation for the diverse perspectives within the College and Program, and a strong interest in mentoring faculty.
  • An ability to work with a diverse group of faculty, staff, students, and administrators to achieve common goals.

Desired Qualifications:
  • Strong methodological training in quantitative, qualitative, or multiple methods.

Application Instructions
Applicants should electronically submit, in PDF format: (1) a detailed c.v., and (2) statements on research (also indicate your desired tenure home appointment preference), teaching, and service (prior and/or proposed work related to the intersection of CSE/ROB/EER). Applicants should be prepared to share a list of names and contact information for at least three references upon being invited for an on-site interview. The deadline for ensuring full consideration of an application is October 31, 2025, but the position will remain open and applications will continue to be considered until the position is filled. The search will be conducted in confidence until finalists are identified prior to a public campus visit. The tentative appointment date for the position is September 1, 2026.
Please submit your application to apply to CSE here: https://deptapps.engin.umich.edu/facultycandidate/apply?dept=216001&searchID=63
Please submit your application to apply to ROB by clicking the Apply Now button on the right.
If you have any questions regarding the search, or would like to nominate someone, please contact Professor Joi Mondisa, search committee chair, at jmondisa@umich.edu.
Employment will require both a criminal background check and an institutional reference check regarding any misconduct. Candidates will be required to submit a self-disclosure form as well as an authorization to release information form.
The University of Michigan is an equal opportunity/affirmative action employer and is responsive to the needs of dual career families.

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About University of Michigan

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The University of Michigan (U-M), based in Ann Arbor, MI, US, is one of America's most esteemed institutions in higher education. Established in 1817, it presides in the industry of education and research, providing a range of services including undergraduate, graduate, and professional education programs. Complementing this is an extensive research activity that has significantly contributed to various fields, from healthcare to engineering, humanities to sports. Upholding its mission "to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values", U-M consistently ranks among the top universities globally, a testament to its tradition of excellence in learning and research, and a deep commitment to innovation and discovery.

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