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Assistant Professor In Human Computer Interaction Jobs in Boston, MA

Experience in gaming, interactive web apps, games (mobile, web, console, etc), or interactive character design * A passion for human/computer interaction, art pipelines, content management tools, AI ...

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Assistant Professor In Human Computer Interaction information

See Boston, MA salary details

$46.2K

$87K

$146.7K

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

As of Jul 4, 2026, the average yearly pay for assistant professor in human computer interaction in Boston, MA is $86,974.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,200.00 and $99,400.00 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, and why are they important?

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 Boston, MA? For Assistant Professor In Human Computer Interaction jobs in Boston, MA, the most frequently searched job titles are:
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What cities near Boston, MA are hiring for Assistant Professor In Human Computer Interaction jobs? Cities near Boston, MA with the most Assistant Professor In Human Computer Interaction job openings:
Infographic showing various Assistant Professor In Human Computer Interaction job openings in Boston, MA as of June 2026, with employment types broken down into 1% As Needed, 65% Full Time, 25% Part Time, 1% Temporary, and 8% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $86,974 per year, or $41.8 per hour.
Assistant Professor (Tenure-Track)

Assistant Professor (Tenure-Track)

Tufts University

Boston, MA • On-site

Full-time

Posted 14 days ago


Tufts University rating

8.4

Company rating: 8.4 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

113th of 544 rated colleges and universities


Job description

Description
The Department of Neuroscience at Tufts University School of Medicine invites applications for a tenure-track Assistant Professor in the Department of Neuroscience. Candidates with strong experience in computational neuroscience are encouraged to apply. We seek creative scientists who leverage innovative computational approaches-spanning molecular and cellular mechanisms through circuits, systems, and behavior-to reveal how synapses and neurons drive circuit function and dysfunction.
Why Tufts Neuroscience
Join a thriving, highly collaborative department with >$15M in annual extramural support and deep connections across the Tufts ecosystem. Our location in downtown Boston places us at the heart of a world-class biomedical community, adjacent to Tufts Medical Center, enabling rich translational and clinical collaborations. Faculty also engage across Tufts schools (e.g., Engineering/BME, Veterinary, Dental, Nutrition, Public Health) and with regional partners.
Core Strengths & Resources
Our department's strengths include synaptic excitation/inhibition, neuron-glia interactions, circuit dynamics, models of neurological and psychiatric disorders (including epilepsy and neurodegeneration), neuroinflammation, and animal and human iPSC-derived cellular models. We offer:
  • Generous start-up packages and newly renovated lab space
  • Shared cores for advanced imaging and behavioral testing
  • Mentorship by engaged senior faculty and structured career development
  • A collegial culture that values team science, openness, and impact

Qualifications
Candidate Profile & Expectations
Applicants should hold a Ph.D. and/or M.D. (or equivalent) with a record of research commensurate with career stage. The successful candidate will:
  • Build a rigorous, externally funded research program in computational neuroscience
  • Contribute to graduate and medical education and mentoring
  • Engage in collaborative scholarship across the department, Tufts Medical Center, and the wider Tufts network

Application Instructions
Application Instructions
Review of applications begins on November 1, 2025, and will continue until the position is filled. Please submit the following as a single PDF or as separate files:
  1. Curriculum vitae
  2. Research statement (current work and future plans, including how your computational approaches will deepen understanding of brain function and dysfunction)
  3. Teaching and mentoring statement
  4. Names and email addresses of at least three references

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