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Assistant Professor Human Computer Interaction Jobs in Massachusetts

Post Doctoral Fellow

Belmont, MA · On-site

$54K - $73K/yr

... and Assistant Professor at McLean and Harvard Medical School. As part of the Digital ... quantitative psychology, human-computer interaction or a related field (or equivalent) If ...

Post Doctoral Fellow

Belmont, MA · On-site

$54K - $73K/yr

... and Assistant Professor at McLean and Harvard Medical School. As part of the Digital ... quantitative psychology, human-computer interaction or a related field (or equivalent) If ...

Post Doctoral Fellow

Belmont, MA · On-site

$54K - $73K/yr

... and Assistant Professor at McLean and Harvard Medical School. As part of the Digital ... quantitative psychology, human-computer interaction or a related field (or equivalent) If ...

Post Doctoral Fellow

Belmont, MA · On-site

$54K - $73K/yr

... and Assistant Professor at McLean and Harvard Medical School. As part of the Digital ... quantitative psychology, human-computer interaction or a related field (or equivalent) If ...

Requirements Qualifications • A degree (or near completion) in Computer Engineering, Computer Science, Human-Computer Interaction, or a related field. • Proficiency in a high-level programming ...

Showing results 21-40

Assistant Professor Human Computer Interaction information

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 Ph.D. in HCI or a related field, a strong research portfolio, and experience teaching at the university level. Familiarity with prototyping tools, usability testing software, programming languages (such as Python or JavaScript), and publishing in peer-reviewed journals is typically required. Excellent communication, mentorship, and collaboration skills help foster student engagement and interdisciplinary partnerships. These competencies are crucial for advancing research, delivering impactful instruction, and contributing to the academic community.

What are some common challenges faced by assistant professors in human computer interaction when balancing research and teaching responsibilities?

Assistant Professors in Human-Computer Interaction often find it challenging to balance the demands of innovative research with a full teaching load. Developing and delivering engaging coursework while maintaining progress on research projects, publishing, and seeking grant funding requires strong time management and organizational skills. Additionally, collaborating with interdisciplinary teams and mentoring students can add complexity but also provide rewarding opportunities for growth and impact. Support from departmental colleagues and clear communication about expectations are key to successfully managing these responsibilities.

What is an assistant professor of human computer interaction?

An Assistant Professor of Human Computer Interaction (HCI) is a faculty member at a university or college who specializes in researching, teaching, and advancing knowledge about how people interact with computers and technology. Their work often includes conducting original research, publishing scholarly articles, teaching undergraduate and graduate courses, and supervising student research projects. They may also collaborate with industry partners and contribute to the design of user-centered technologies and interfaces. The role is typically an entry-level or early-career tenure-track academic position.
Infographic showing various Assistant Professor Human Computer Interaction job openings in Massachusetts as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Teleoperations Research Engineer, Atlas

Boston Dynamics

Waltham, MA • On-site

$150K - $200K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 20 days ago


Job description

The Atlas team at Boston Dynamics is pushing the limits of robotic mobility and manipulation. As a Teleoperation Research Scientist, you will design and implement cutting-edge teleoperation and human-robot interaction systems that enable humanoid robots to execute complex, coordinated tasks in real-world environments. You will work closely with cross-functional teams in controls, perception, machine learning, and hardware to build intuitive and scalable teleoperation interfaces that bridge the gap between human demonstration and autonomous robot behavior, facilitate large-scale data collection for foundation models, and advance research in dexterous manipulation, whole-body mobile teleoperation, and human-robot interfaces. This role combines deep technical research with hands-on experimentation on one of the most advanced humanoid platforms in the world.
How you will make an impact:
  • Implement and evaluate novel teleoperation interfaces (e.g., VR, motion capture, wearable devices, or mixed reality systems) to collect high-quality manipulation and locomotion demonstrations for learning-based control.
  • Integrate and optimize hardware and software components for low-latency, high-bandwidth communication and control.
  • Analyze demonstration data to improve data efficiency, operator ergonomics, and task performance.
  • Write high-quality (documented, tested, maintainable) C++ and Python code.
  • Support integration of teleoperation and learned policies into end-to-end proof-of-concept demonstrations.

What we are looking for:
  • 3+ years of industry experience or PhD in Robotics, Computer Science, Human-Computer Interaction, or a related field.
  • Experience with real-time control, sensing, and communication systems in robotics.
  • Proficiency in Python and/or C++
  • Strong analytical and debugging skills.
  • Strong communication and collaboration skills

Nice to have:
  • PhD in Robotics, Computer Science, Human-Computer Interaction, or a related field.
  • Prior experience with VR/AR-based teleoperation systems, haptics, and force-feedback systems.
  • Experience with robot hardware and real-world robot deployments
  • Experience with user studies and quantitative evaluation of human-robot systems.
  • Familiarity with large-scale data collection for learning-based control or foundation model training.

The salary or hourly pay range for this position will be clearly stated in the job posting as required by Massachusetts law. The base pay range for this position is between $150,284.34- $200,000.85. Base pay will depend on multiple individualized factors including, but not limited to internal equity, job related knowledge, skills and experience. This range represents a good faith estimate of compensation at the time of posting. Boston Dynamics offers a generous Benefits package including medical, dental vision, 401(k), paid time off and an annual bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer for employment.