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PostDoctoral Associate (CS)

Requisition Number:



Boulder, Colorado

Employment Type:

Research Faculty



Job Summary

The Department of Computer Science at the University of Colorado Boulder anticipates hiring a full time postdoctoral fellow starting in Summer/Fall 2019 for one year and renewable for a second year. This position will work with Dr. Sidney D’Mello and will play a collaborative and co-leadership role in a vibrant research team encompassing researchers in Computer Science, Cognitive Science, Psychology/Neuroscience, and Education.

Who We Are

The mission of the Institute of Cognitive Science (ICS) at CU-Boulder is to understand and enhance human cognition, learning, and development through the creation of interdisciplinary partnerships.  ICS fosters rich scientific interchange across researchers from a broad range of disciplines including Artificial Intelligence, Linguistics, Psychology, Neuroscience, Computer Science, Philosophy, and Education.

What Your Key Responsibilities Will Be

Develop computational modeling and machine learning techniques to model behavioral and mental states (e.g., affect, attention, workload) from multimodal data (e.g., video, audio, physiology, eye gaze) across a range of interaction contexts (e.g., learning from educational games, collaborative problem solving, everyday activities in the wild).

This position offers a unique postdoctoral training experience and unsurpassed publishing opportunities within multi-department and multi-institution grant-funded projects. Encouraged to develop advanced technical skills, strengthen their research portfolios via peer-reviewed publications, gain interdisciplinary experience by working with a diverse team, develop leadership skills by mentoring students, and gain expertise in co-authoring grant proposals.


What You Should Know

  • 1-2 year position. Initial contract is for one year (providing renewal after 6-month probationary period). Second year contract is based on performance and extension to a third year is possible.
  • Start date is negotiable, but anticipated for Summer/Fall 2019.

What We Can Offer

 Competitive salary commensurate with experience and full benefits.


The University of Colorado offers excellent benefits, including medical, dental, retirement, paid time off, tuition benefit and ECO Pass. The University of Colorado Boulder is one of the largest employers in Boulder County and offers an inspiring higher education environment. Learn more about the University of Colorado Boulder.

Be Statements

Be Accomplished. Be Resourceful. Be Boulder.

What We Require

  • Ph.D. in Computer Science/Machine Learning or a related field (at the time of hire).
  • Research experience in computational modeling and advanced machine learning (e.g., graphical models, deep recurrent neural networks)
  • Strong writing skills and ability to conduct independent research as evidenced by first author publications.

What We Would Like You To Have

  • Research experience in one or more of the following areas (computer vision, computational psychophysiology, natural language processing, speech processing).
  • Background in interdisciplinary research.
  • Experience mentoring graduate and undergraduate students.

Special Instructions

To apply, please submit the following materials:
  1. Resume/CV
  2. Cover Letter
  3. PDF Sample of Work: Two representative publications. 
During the application process you will need to enter contact information for three references and we will request letters of recommendation and additional materials, if needed, as the search progresses.

Review of applications will begin immediately and will continue until the position is filled.

Note: Application materials will not be accepted via email. For consideration, applications must be submitted through CU Boulder Jobs.

Posting Contact Name: Sidney D'Mello

Posting Contact Email: Sidney.Dmello@Colorado.EDU

The University of Colorado Boulder is committed to building a culturally diverse community of faculty, staff, and students dedicated to contributing to an inclusive campus environment. We are an Equal Opportunity employer, including veterans and individuals with disabilities.