We are seeking a part-time Research Programmer/Analyst in computer vision and machine learning for human behavior analysis and modeling to connect different science disciplines. The successful candidate will investigate new algorithms and models to develop, implement, and test multimodal machine learning algorithms to analyze and recognize multimodal human behavior in real world settings. 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.

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:
* PhD degree in computer science, applied mathematics or electrical engineering, with a focus on computer vision/machine learning. * At least three years' experience in a research environment with at least one year in the designated
specialty of research.
* Strong interpersonal, verbal, and written communication skills.
* Strong organization and planning skills, careful attention to detail with strong follow-through, able to prioritize and organize tasks effectively to accomplish objectives in a timely matter.
* Enthusiastic about collaborating with partners from multiple disciplines and institutions.

How to apply:
* Applications should be sent to https://www.cmu.edu/jobs/index.html
* A single PDF file titled FirstNameLastName.pdf should be attached to the application, including:
o A cover letter: letter of application, describing your qualifications and relevant experience to the position of interest (with expected date of availability),
o A detailed CV including a list of publications and two recent representative publications (including full citation information)
o Three reference letters (sent separately by the referees).
o Incomplete applications will not be considered.

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!

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