Postdoctoral Research Associate - School of Computer Science - MLD

VS-Postdoc; Pittsburgh (Allegheny County); On-site; USD 65,000 - 75,000; Full time

Benefits offered by this job

Comprehensive health insurance

Retirement savings program with the CM

Tuition benefits

Paid time off and holidays

Life and disability insurance

Transit pass

Family support services

Fitness center access

Job summary

Carnegie Mellon University, located in Pittsburgh, PA, invites applications for a Postdoctoral Research Associate in the School of Computer Science–MLD. This fixed-term, full-time role focuses on advancing machine learning research, data analysis, and publication activities within the CMU Machine Learning Department.

The candidate will collaborate with a diverse team and contribute to cutting-edge projects.

Qualifications

• Doctorate degree required.
• Strong analytical, organization, problem-solving and communication skills.

Responsibilities

• 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 as needed.
• Other duties as assigned.

Skills

Strong analytical

Organizational skills

Problem-solving

Communication skills

Education

Doctorate degree

Job description

Postdoctoral Research Associate - School of Computer Science - MLD

2026-08-03

Postdoctoral Research Associate - School of Computer Science -MLD

in Pittsburgh, PA

Type: Full-Time

Posted: Today

Category: Computer Science

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

The Machine Learning Department (MLD) at Carnegie Mellon University is aleading hub for research and education in artificial intelligence and machinelearning. It focuses on developing innovative algorithms and models to addresscomplex problems in diverse fields such as robotics, healthcare, and finance.The department offers a range of undergraduate and graduate programs, fosteringa collaborative environment that bridges theoretical research and practicalapplications. Faculty and students frequently collaborate with industry andother academic disciplines to push the boundaries of what is possible withmachine learning.

MLD is seeking a Postdoctoral Research Associate to join the team. Thisposition will require an in-depth knowledge of a specialized field, process, ordiscipline and may involve organizing and implementing complex research plans,the development of methods of research, testing and data collection, analysisand evaluation, and writing reports which contain descriptive, analytical andevaluative content.

Core Responsibilities

Conduct research experiments within the predetermined research scope andmethodology of department and university.

Collect and analyze data, including periodical/literature search andutilizing specialized skills in related field to analyze the collected data.

Participate/assist in manuscript writing for publication in scientificjournals and/or presentations. May also assist in grant writing.

Lab maintenance, including equipment maintenance and ordering of supplies asneeded.

Other duties as assigned.

Adaptability, excellence, and passion are vital qualities within CarnegieMellon University. We are in search of a team member who can effectivelyinteract with a varied population of internal and external partners at a highlevel of integrity. We are looking for someone who shares our values and whowill support the mission of the university through their work.

Qualifications

Doctorate Degree required.

Strong analytical, organization, problem-solving and communicationskills.

A combination of education and proven experience from which comparableknowledge is demonstrated may be considered.

Joining the CMU team opens the door to an array of exceptional benefits.

• comprehensive medical, prescription, dental, and vision insurance
• generous retirement savings program with employer contributions
• tuition benefits
• ample paid time off and observed holidays
• life and accidental death and disability insurance
• 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 Benefitspage.

At Carnegie Mellon, we value the whole package when extending offers ofemployment. Beyond credentials, we evaluate the role and responsibilities, yourvaluable work experience, and the knowledge gained through education andtraining. We appreciate your unique skills and the perspective you bring. Yourjourney with us is about more than just a job; it's about finding the perfectfit for your professional growth and personal aspirations.

Location

Pittsburgh, PA

Job Function

Pre/Post-Doctoral Associates & Fellows

Position Type

Postdoctoral Associate / Fellow (Fixed Term)

Full time

Pay Basis

More Information

Please visit "Why Carnegie Mellon" to learn more about becoming part of aninstitution inspiring innovations that change the world.

Carnegie Mellon University is an Equal OpportunityEmployer/Disability/Veteran.

Statement of Assurance

Carnegie Mellon University does not discriminate and Carnegie MellonUniversity is required not to discriminate in admission, employment, oradministration of its programs or activities on the basis of race, color,national origin, sex or handicap in violation of Title VI of the Civil RightsAct of 1964, Title IX of the Educational Amendments of 1972 and Section 504 ofthe Rehabilitation Act of 1973 or other federal, state, or local laws orexecutive orders.