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 (MLD) within the School of Computer Science is searching for a Postdoctoral Research Associate to join the team. MLD occupies a privileged position in the world of machine learning, in part, as the world's only academic Machine Learning Department, and has close relationships through shared faculty and active collaboration across the university. In this role, your primary responsibilities will be to carry out advanced independent and/or directed research to achieve the objectives of the research project.

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.

Inclusion and cultural sensitivity are valued competencies at CMU. Therefore, we are in search of a team member who can effectively interact with a varied population of diverse audiences. We are looking for someone who shares our values and who will support the mission of the university through their work.

This is a great opportunity for someone to work in a creative, dedicated, driven team, in a collaborative environment committed to technical innovation, inclusion, and work-life balance.

Qualifications:

• Doctorate Degree
• Strong analytic, problem-solving, reasoning, and communication skills.
• A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered.

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond just credentials, we consider the role's responsibilities, your invaluable work experience, and the knowledge gained through education and training. We acknowledge and appreciate your unique key skills and the diverse perspectives you bring. Our commitment to fostering an inclusive work environment means we also account for geographic differentials. 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 this exciting opportunity?! Apply today!

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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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