Research Assistant - Robotics Institute

Carnegie-Mellon-University; Pittsburgh (Allegheny County); On-site; USD 34,000 - 44,000; Part time

Benefits offered by this job

Tuition benefits

Paid time off

Life and disability insurance

Bus pass

Family concierge

Job summary

Carnegie Mellon University in Pittsburgh is seeking a part-time Research Assistant in computer vision and machine learning to analyze and model human behavior from video, develop perceptual algorithms, and explore multimodal interaction for medical research and affective computing.

You will write code, build and test AI/ML models, maintain research records, and report progress to the research director while collaborating with interdisciplinary partners.

Qualifications

• Master of Science in computer vision, machine learning, artificial intelligence, or a closely related field.
• Strong programming skills required.
• Background in ML / CV / human behavior modeling with specialization in one or more areas such as supervised/unsupervised/self-supervised learning, large vision models, transfer learning.

Responsibilities

• Write and develop AI/ML algorithms focused on human behavior modeling from video.
• Develop and maintain software for maximum efficiency and usability.
• Collect, record, store, analyze data and report results according to protocols.
• Communicate progress to the research director and maintain accurate records.

Skills

Programming skills

Machine learning

Computer vision

Human behavior modeling

Multimodal learning

Education

MS in computer vision, ML, AI or related field

Job description

We are seeking a part-time Research Assistant in computer vision and machine learning for human behavior analysis and modeling. The successful candidate will investigate new algorithms and models for analyzing and understanding human behavior from video. Specific research topics for human behavior using one or multiple cameras will focus on the design of efficient perceptual algorithms for behavioral cue extraction and novel approaches for the modeling people interaction, with application to medical research and affective computing. We are seeking creative and upbeat Research Assistant that will follow research plans in order to collect, record and manipulate research data. Maintains accurate and detailed research records.

Responsibilities

Write code and develop novel theoretical and practical state of the art artificial intelligence/machine learning algorithms that are focused on human behavior modeling related to video classification using deep learning networks for end-users. Work with other team members to develop and maintain software for maximum efficiency and usability. Designs, develops, tests and maintains applications or system programs. Gathers and provides input on functional specifications and requirements Perform approved research project tasks according to defined protocols and procedures including appropriate collection, recording, storage, and analysis of data, and reporting of results. Follow appropriate research policies and procedures and maintains scientific integrity including accurate data storage. Communicate the daily progress of research projects via meetings with, and written reports to the research director. Responsible for following the mandatory reporting procedures for any incident or event that did affect or potentially could affect the project goals and workflow. Optimize protocols and improve methods currently employed. Coordinates work consistently to achieve maximum productivity. Demonstrates ability to deal with changes in priorities to provide smooth and consistent workflow. Interacts with interdisciplinary professional partners. Other duties as assigned.

Requirements

Master of Science (MS) in computer vision, machine learning, artificial intelligence, or a closely related field. Strong programming skills. Strong background in machine learning / computer vision/ human behavior modeling, with specialization in one or more of the following areas: supervised/unsupervised/self-supervised learning, large vision models, multimodal foundation models, transfer learning, Research experience in multimodal human behavior analysis, affective computing, AI for Healthcare, and multimodal machine learning. Very good presentation, communication, and organization skills.

Desired

Publications in top machine learning and/or computer vision conferences and journals. Research experience involving clinical applications (e.g., depression, pain). Experience and/or enthusiasm for mentoring students. Experience analyzing questionnaires and surveys. Experience with grant proposal preparation and coordination.

Benefits

Joining the CMU team opens the door to an array of exceptional benefits. Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance. Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more! For a comprehensive overview of the benefits available, explore our Benefits page. At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.

Location

Pittsburgh, PA

Job Function

Researchers

Position Type

Staff – Fixed Term (Fixed Term) Full Time/Part time Part time

Pay Basis

Hourly

Statement of Assurance

Interested in a career with Carnegie Mellon University but not finding anything that currently aligns with your interests, background, or experience? Learn how to sign up for Job Alerts through your candidate profile. When you join our staff, you’ll become an important part of our mission to create a healthier, safer, and more just life for all. No matter what your role or location, you’ll connect and collaborate with dedicated, passionate colleagues – and you’ll have the satisfaction of delivering work that truly matters. We cultivate a vibrant, welcoming environment where everyone is valued and encouraged to contribute and achieve.

Contact & Support

For technical assistance, email HR Services or call 412-268-4600. We are committed to providing an accessible experience throughout our recruitment process. If you need assistance or a reasonable accommodation at any stage of the application, interview, or hiring process, please contact Equal Opportunity Services by email at [e-mail] or by phone at 412-268-5072.