Research Assistant - Robotics Institute

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.

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:

1. Cover Letter: letter of application, describing your qualifications and relevant experience to the position of interest (with expected date of availability).

2. A detailed CV (including full publications citation if applicable)

3. Three reference letters (sent separately by the referees to me at [email protected]

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 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.

Are you interested in an exciting opportunity with an exceptional organization?! Apply today!

Location

Pittsburgh, PA

Job Function

Researchers

Position Type

Staff – Fixed Term (Fixed Term)

Full Time/Part time

Part 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. 

• Click here to view a listing of employee benefits

• Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran. 

• Statement of Assurance