Pre-Doc Specialist - Robotics Institute

Carnegie Mellon University; Pittsburgh (Allegheny County); On-site; USD 41,000 - 83,000; Full time

Benefits offered by this job

Tuition benefits

Research opportunities

Job summary

Carnegie Mellon University in Pittsburgh, PA seeks a Pre-Doc Specialist in the Robotics Institute to advance multimodal machine learning for human behavior analysis in real world settings, including affective computing and AI for healthcare applications.

You will develop, implement, and evaluate state-of-the-art AI algorithms, mentor students, write papers, and report findings to the research director, collaborating with partners from multiple disciplines.

Qualifications

• MS in computer vision, ML, AI or related field.
• Strong programming skills.
• Research in multimodal human behavior analysis and related areas.
• Excellent presentation and communication skills.

Responsibilities

• Develop and test multimodal ML algorithms for video classification.
• Write code and maintain software for research workflows.
• Collaborate with interdisciplinary partners and mentors.
• Document results and communicate progress to the research director.
• Follow research protocols and ensure data integrity.
• Contribute to papers and mentoring of students.

Skills

Strong programming skills

Multimodal ML background

Human behavior modeling

Deep learning / vision

Education

MS in computer vision / ML / AI

Job description

• Strong programming skills.

Job Summary

We are seeking creative and energetic candidates with strong experience in multimodal machine learning and human behavior analysis and modeling for a Pre-Doc Specialist position in the Robotics Institute. Using recent progress in machine learning and artificial intelligence, the successful candidate will have primary responsibility to develop, implement, and test multimodal machine learning algorithms to analyze and recognize multimodal human behavior in real world settings (e.g., Affective Computing, AI for Healthcare: pain measurement, monitoring mental health disorders). The successful candidate will have primary responsibility for all facets of the project, including papers writing and students mentoring. Preference will be given to candidates with a proven track record, demonstrating relevant skills and extensive experience in multimodal machine learning and human behavior analysis (e.g., facial and gesture analysis and acoustic signal processing). The candidate should be enthusiastic about collaborating with partners from multiple disciplines and institutions.

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

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!

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

Pre/Post-Doctoral Associates & Fellows

Position Type

Postdoctoral Associate / Fellow (Fixed Term)

Full Time/Part time

Full time

Pay Basis

Hourly

More Information

• Please visit "Why Carnegie Mellon" to learn more about becoming part of an institution inspiring innovations that change the world.
• Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
• Statement of Assurance