Research Associate II - Robotics Institute

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

• Bachelor's Degree
• Strong Analytical Skills
• Strong Oral and Written Communication Skills
• Strong Problem-Solving and Reasoning Skills
• 3-5 Years of Research Experience
• 3-5 Years of Research Methodology Experience
• 3-5 Years of Data Collection and Analysis Experience
• A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered.
• REQUIRED:
• Master of Science (MS) in computer vision, machine learning, artificial intelligence, or a closely related field.
• Strong programming skills.
• 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.
• How to Apply:
• Important Note: Applications missing any 3 of the mandatory document listed below will be REJECTED and not considered for the role.
• Applications should be sent to https://cmu.wd5.myworkdayjobs.com/CMU
• Applications MUST contain the 3 mandatory files listed below:
• Cover Letter: letter of application, describing your qualifications and relevant experience to the position of interest (with expected date of availability).
• A detailed CV (including full publications citation if applicable)
• Three reference letters (sent separately by the referees to me at adehart@andrew.cmu.edu
• Incomplete applications that are missing any of the 3 files listed above will not be considered and dispositioned.
• *** If you are an international student on an F-1 visa, please check with your Designated School Official (DSO) or academic counselor at your current institution about the right time to apply for Curricular Practical Training (CPT) before applying to a role with CMU. ***
• "Applicants for this position must be currently legally authorized to work for CMU in the United States. CMU will not sponsor or take over sponsorship of an employment visa for this opportunity."
• Training:
• OSHA Hazardous Materials Safety Training
• Are you interested in this exciting opportunity?! Apply today!
• 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 visio

Benefits

Additional Information

We are seeking a part-time Research Associate II 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 Associate II that will under general supervision, designs experiments and research protocols. Performs complex analysis to report results.

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