
location_onLogan Street, Downtown, Pittsburgh, Allegheny County, Pennsylvania, 15262, United States
We are seeking a creative and upbeat Research Assistant to join our team focused on human behavior analysis and modeling. Our mission is to investigate new algorithms and models for understanding human behavior from video, with specific applications in medical research and affective computing. The team designs efficient perceptual algorithms for behavioral cue extraction and explores novel approaches for modeling human interaction using one or multiple cameras.
As a Research Assistant, you will follow established research plans to collect, record, and manipulate research data while maintaining accurate and detailed records. You will write code to develop state-of-the-art artificial intelligence and machine learning algorithms focused on human behavior modeling and video classification using deep learning networks. Your work will involve designing, developing, testing, and maintaining software applications to ensure maximum efficiency and usability.
You will collaborate with interdisciplinary professional partners to gather input on functional specifications and requirements. The role requires performing approved research project tasks according to defined protocols, including the collection, storage, and analysis of data, as well as reporting results to the research director. You will communicate daily progress through meetings and written reports, optimize existing protocols, and demonstrate the ability to adapt to changing priorities to ensure a smooth workflow.
Applications must be submitted via the CMU Workday portal. To be considered, your application must include the following three mandatory documents:
Applications missing any of these three items will be rejected. If you are an international student on an F-1 visa, please consult your Designated School Official (DSO) regarding Curricular Practical Training (CPT) eligibility before applying.
At Carnegie Mellon University, 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, viewing your journey with us as more than just a job—it is about finding the perfect fit for your professional growth and personal aspirations.
Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran. We are committed to inspiring innovations that change the world.
Software Engineering Institute | Carnegie Mellon University • Pittsburgh, Pennsylvania
Tencent • Bellevue, Washington
Skills: Computer Vision, Machine Learning, Artificial Intelligence, Deep Learning, Supervised Learning, Unsupervised Learning, Self-Supervised Learning, Large Vision Models, Multimodal Foundation Models, Transfer Learning.
Education: Master of Science (MS) in computer vision, machine learning, or related field required.
Work model: On-site
Logan Street, Downtown, Pittsburgh, Allegheny County, Pennsylvania, 15262, United States
Pittsburgh, Pennsylvania
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.
AIS (Applied Information Sciences) • San Diego, California
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