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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the curious to deliver work that matters, your journey starts here!

The Machine Learning Department of the School of Computer Science at Carnegie Mellon University occupies a privileged position in the world of machine learning, in part as the world's only academic Machine Learning Department. The Department has close relationships through shared faculty and active collaboration across the university, especially the Statistics Department and other academic units in the School of Computer Science (Computer Science Department, Language Technologies Institute, Computational Biology Department, and the Robotics Institute). We seek applicants who will thrive in this interdisciplinary setting.

Carnegie Mellon University’s department of Machine Learning is searching for a Postdoctoral Research Associate. The Postdoctoral Research Associate is to carry out advanced independent and/or directed research to achieve the objectives of the research project. This position will require an in depth knowledge of a specialized field, process, or discipline and may involve organizing and implementing complex research plans, the development of methods of research, testing and data collection, analysis and evaluation, and writing reports which contain descriptive, analytical and evaluative content. The purpose of this role is to acquire the professional skills needed to pursue a career path of his or her choosing.

Your core responsibilities will include:

• Conduct research experiments within the predetermined research scope and methodology of department and university.
• Collect and analyze data, including periodical/literature search and utilizing specialized skills in related field to analyze the collected data.
• Participate/assist in manuscript writing for publication in scientific journals and/or presentations.  May also assist in grant writing.
• Lab maintenance, including equipment maintenance and ordering of supplies may be required depending on area and specialty.
• Other duties as assigned.

Flexibility, excellence, and passion are vital qualities within Carnegie Mellon University.  Inclusion, collaboration and cultural sensitivity are valued competencies at CMU. Therefore, we are in search of a team member who is able to effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work.

Qualifications:

• Doctorate degree
• Analytical skills
• Organizational and planning skills
• Problem-solving and reasoning skills
• Oral and written communication skills

Are you interested in this exciting opportunity?! Apply today!

CMU’s COVID-19 Vaccination Requirements: As a condition of employment, Carnegie Mellon University requires all staff and faculty working in the United States to be fully vaccinated, including a booster when eligible, against COVID-19. Prior to commencement of employment, new hires in the United States must provide proof of vaccination or obtain an approved exemption. (Exemptions may be requested for medical reasons or for religious or strong moral or ethical conviction.) Staff and faculty must comply with all applicable COVID-19 mitigation requirements. Please see Minimum Requirements to Return to Campus for details regarding the university’s current COVID-19 mitigation requirements.

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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. 

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