Pre-Doc Specialist - Robotics Institute
Not Disclosed•Full-TimeOn-site
location_onLogan Street, Downtown, Pittsburgh, Allegheny County, Pennsylvania, 15262, United States
About the Team
We are seeking creative and energetic candidates for a Pre-Doc Specialist position within the Robotics Institute. This role leverages recent progress in machine learning and artificial intelligence to drive innovation in multimodal human behavior analysis. The team focuses on real-world applications, including Affective Computing and AI for Healthcare, such as pain measurement and monitoring mental health disorders.
About the Role
The successful candidate will take primary responsibility for developing, implementing, and testing multimodal machine learning algorithms to analyze and recognize human behavior. This position offers a unique opportunity to work across all facets of a research project, from algorithm design to writing papers and mentoring students. You will collaborate with partners from multiple disciplines and institutions, applying deep learning networks to video classification and other human behavior modeling tasks.
Hiring Process
Applications must be submitted via the CMU Workday portal. To be considered, your application must include the following three mandatory documents:
- Cover Letter: Describing your qualifications, relevant experience, and expected date of availability.
- Detailed CV: Including full publication citations if applicable.
- Three Reference Letters: These must be sent separately by the referees directly to the hiring contact.
Applications missing any of these three files will be rejected. Please note that for international students on an F-1 visa, you should consult your Designated School Official (DSO) regarding Curricular Practical Training (CPT) eligibility before applying.
Equal Opportunity
Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran. We value the whole package when extending offers of employment, evaluating candidates based on credentials, responsibilities, work experience, and the unique perspective they bring. Our goal is to find the perfect fit for your professional growth and personal aspirations within an institution dedicated to inspiring innovations that change the world.
Work location
Work model: On-site
Logan Street, Downtown, Pittsburgh, Allegheny County, Pennsylvania, 15262, United States
Pittsburgh, Pennsylvania
Similar Job Opportunities
Skills, education and keywords
Skills: Multimodal Machine Learning, Human Behavior Analysis, Human Behavior Modeling, Machine Learning, Artificial Intelligence, Affective Computing, Ai For Healthcare, Facial Analysis, Gesture Analysis, Acoustic Signal Processing.
Education: Master of Science (MS) in computer vision, machine learning, AI, or related field required.
Frequently asked questions about Pre-Doc Specialist - Robotics Institute at Software Engineering Institute | Carnegie Mellon University
What does a Pre-Doc Specialist - Robotics Institute at Software Engineering Institute | Carnegie Mellon University do?expand_more
In this Pre-Doc Specialist - Robotics Institute at Software Engineering Institute | Carnegie Mellon University role, you will develop and test multimodal machine learning algorithms for human behavior analysis; communicate research progress through meetings and written reports to the research director; optimize research protocols and improve methods currently employed; and conduct research tasks including data collection, storage, analysis, and reporting.
What are the requirements for this Pre-Doc Specialist - Robotics Institute role?expand_more
To qualify for the Pre-Doc Specialist - Robotics Institute at Software Engineering Institute | Carnegie Mellon University position, applicants should have: Master of Science (MS) in computer vision, machine learning, artificial intelligence, or closely related field; Strong programming skills; Strong background in machine learning, computer vision, or human behavior modeling; Research experience in multimodal human behavior analysis, affective computing, AI for Healthcare, or multimodal machine learning; and Currently legally authorized to work for CMU in the United States.