Research Associate II - Robotics Institute

About the Team

We are seeking a creative and upbeat Research Associate II to join our team focused on computer vision and machine learning for human behavior analysis and modeling. This role sits at the intersection of advanced AI and medical research, aiming to design efficient perceptual algorithms for behavioral cue extraction and novel approaches for modeling human interaction using one or multiple cameras.

The successful candidate will operate under general supervision to investigate new algorithms, design experiments, and conduct complex analysis. You will be part of an interdisciplinary environment where scientific integrity and accurate data storage are paramount. Your work will directly contribute to applications in affective computing and healthcare, such as analyzing clinical conditions like depression and pain.

About the Role

In this position, you will write code to develop state-of-the-art artificial intelligence and machine learning algorithms focused on human behavior modeling related to video classification. You will collaborate with team members to develop and maintain software for maximum efficiency and usability, while also designing, testing, and maintaining system programs.

Your day-to-day will involve gathering input on functional specifications, performing approved research tasks according to defined protocols, and optimizing methods currently employed. You will communicate daily progress via meetings and written reports to the research director and coordinate work to ensure a smooth workflow amidst changing priorities. This role requires interacting with interdisciplinary professional partners and maintaining the highest standards of scientific integrity.

Hiring Process

Applications must be submitted via the CMU Workday portal. Please note that applications missing any of the three mandatory documents listed below will be rejected and not considered:

1. Cover Letter: A letter describing your qualifications and relevant experience, including your expected date of availability.
2. Detailed CV: Including full publication citations if applicable.
3. Three Reference Letters: These must be sent separately by the referees directly to adehart@andrew.cmu.edu.

Important Note for International Students: If you are an international student on an F-1 visa, please consult your Designated School Official (DSO) or academic counselor regarding Curricular Practical Training (CPT) before applying.

Work Authorization: Applicants 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.

Our Culture & Commitment

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. 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.

We are an Equal Opportunity Employer/Disability/Veteran. We are committed to inspiring innovations that change the world and fostering an inclusive environment where diverse backgrounds are celebrated.