PostDoctoral Associate

Job description

The Department of Computer Science at the University of Colorado Boulder anticipates hiring a full time postdoctoral research associate for one year and renewable for a second (and third) year. The position includes a competitive salary commensurate with experience and full benefits. Review of applications will begin immediately and continue until the position is filled.

The successful candidate will conduct research in machine learning applied to speech and language processing to solve challenging, but impactful, real-world problems. He/she will participate in the development and application of advanced machine learning techniques (e.g., deep recurrent neural networks) to multi-party speech data collected in authentic contexts (e.g., classroom discourse, small group collaborative problem solving).

The candidate will work under the supervision of Dr. Sidney D'Mello and will play a collaborative and co-leadership role in a vibrant research team encompassing researchers in Computer Science and the Institute of Cognitive Science. The position offers a unique postdoctoral training experience and unsurpassed publishing opportunities within multi-department and multi-institution grant-funded projects. The postdoc will be encouraged to develop new 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.

Job Details

  • Desired start date is Spring/Summer 2018. However, start date is negotiable
  • Competitive salary with benefits commensurate with qualifications


  • Ph.D. in Computer Science, Artificial Intelligence, or a related field at the time of hire
  • Research experience in advanced machine learning (e.g., deep learning, probabilistic graphical models)
  • Evidence of a strong publication record in the aforementioned areas

  • Research experience in one or more of the following areas: acoustic signal processing, automatic speech recognition, natural language understanding, discourse modeling

About the University of Colorado and the city of Boulder

The University of Colorado Boulder is a widely recognized and respected research university in the U.S. Its 11 research institutes house more than 900 researchers, students, and staff, making a major contribution to the research infrastructure of the university and local economy. Boulder is one of the 34 public research institutions belonging to the Association of American Universities (AAU). It contributes to the local community via research partnerships, education opportunities, and development projects.

The city of Boulder hosts thriving tech industries, supports a renowned entrepreneurial community, has some of the region's best restaurants, and is home to many federal research labs. There are endless ways to enjoy Boulder's 300-plus days of sunshine a year - from the hundreds of miles of hiking and biking trails to some of the country's finest microbrews. It's also quick and easy to get around by bus or bike and a quick 25 mile ride to nearby Denver.

Special Instructions to Applicants:This position is eligible for medical, dental and life insurance, retirement benefits programs, and is eligible for monthly vacation and sick leave accruals. The University of Colorado Boulder conducts background checks on all final applicants being considered for employment, prior to the issuance of an offer letter. The University of Colorado Boulder is committed to providing a safe and productive learning, living and working community. To achieve this goal, we conduct background investigations for all final applicants being considered for employment. Background investigations include a criminal history record check, and an EPLS (Excluded Parties List System) check. The Immigration Reform and Control Act requires that verification of employment eligibility be documented for all new employees by the end of the third day of work.

The University of Colorado is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained faculty and staff. In compliance with applicable laws and in furtherance of its commitment to fostering an environment that welcomes and embraces diversity, the University of Colorado does not discriminate on the basis of race, color, creed, religion, national origin, sex (including pregnancy), disability, age, veteran status, sexual orientation, gender identity or expression, genetic information, political affiliation or political philosophy in its programs or activities, including employment, admissions, and educational programs. Inquiries may be directed to the Boulder Campus Title IX Coordinator by calling 303-492-2127. In accordance with the Americans with Disabilities Act, alternative formats of this ad can be provided upon request for individuals with disabilities by contacting Human Resources at [email protected]

Application Materials Required:Cover Letter, Resume/CV, List of References, Unofficial transcript(s), Additional Attachments - Refer to Application Materials Instructions Below

Application Materials Instructions:Please complete the required Faculty/University Staff EEO Data (application) form (click on Apply Online above) and upload the following required documents: (1) cover letter, (2) current CV, and (3) one or two representative publications as a single PDF document. Additional documents will be required from candidates selected for further review after the initial documents are received: (4) The document uploaded for Proof of Degree can be a Transcript which shows the date the degree was conferred; Copy of Diploma; or official letter from the Registrar or the Dean of the School or College conferring the degree; and (5) List of references

Job Category: Faculty

Primary Location: Boulder

Department: B0001 -- Boulder Campus - 10066 - Cognitive Sci Institute-Admin

Schedule: Full-time

Posting Date: Oct 27, 2017

Closing Date: Ongoing

Posting Contact Name: Alan Dale

Posting Contact Email: [email protected]

Position Number: 00740748





Diversity Profile: University



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Job No:
Posted: 2/28/2018
Application Due: 4/24/2018
Work Type: