Publisher
source

Carnegie Mellon University

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Postdoctoral Research Associate position Carnegie Mellon University's Tepper School of Business in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

This is a grant-funded position with full employee benefits.

Deadline

Oct 5, 2026

Country flag

Country

United States

University

Carnegie Mellon University

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Keywords

Computer Science
Data Science
Machine Learning
Mathematics
Algorithm Design
Operations Research
Artificial Intelligence
Data Synthesis
Science Communication
Combinatorial Optimization
Mentoring
Real-world Data
Optimization Algorithm
Interdisciplinary Collaboration
Statistic
business analytics

About this position


Details

Posted: Unknown

Location:

Salary:


Summary:

Summary here.



Details

Posted: 05-Oct-25

Location: Pittsburgh, Pennsylvania

Type: Full-time

Categories:


Staff/Administrative

Internal Number: 2023712


The Tepper School of Business is home to many programs and research programs that cross disciplines. We approach scientific problems from fresh angles using creative interdisciplinary approaches while drawing on our strengths in the core social sciences. Tepper faculty members are nationally and internationally recognized for their research in a variety of fields, including organizational behavior and theory, economics, finance, and accounting.

Carnegie Mellon University's Tepper School of Business is searching for a Postdoctoral Research Associate to join their team. This is an exciting opportunity for someone who thrives in an interesting and challenging work environment.

Core responsibilities include:

  • Research in the intersection of discrete optimization and machine learning, including algorithmic fairness

  • Formulation of new problems and research directions and translating topical issues into algorithmic problems

  • Designing new algorithms and investigating their performance on synthetic and actual data

  • Participate in writing up the results and submission for scientific publication

  • Collaborate with and mentor doctoral students engaged in the projects

  • Other duties as assigned

Adaptability, excellence, and passion are vital qualities within Carnegie Mellon University. We are in search of a team member who can 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.

You should demonstrate:

  • Strong analytical and problem-solving skills

  • Organization and planning skills

  • Strong oral and written communication skills

Qualifications:

  • PhD in a related field required

  • Experience working on and publishing refereed papers on problems related to discrete and continuous optimization and machine learning

  • A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered.

Additional Information:

  • Sponsorship : Applicants for this position must be currently legally authorized to work for CMU in the United States. CMU will not sponsor or take over the sponsorship of an employment visa for this opportunity. Carnegie Mellon is not a qualifying employer for the STEM OPT benefit: only the 12-month OPT may be used to work at Carnegie Mellon.

  • Funding : This is a grant-funded position.

  • Fixed Term: This is a flexible-term position with an estimated duration of 18 months.

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

Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits , take well-deserved breaks with ample paid time off and observed holidays , and rest easy with life and accidental death and disability insurance.

Additional perks include a 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 Benefits page .

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. 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 an exciting opportunity with an exceptional organization?! Apply today!

Location

Pittsburgh, PA

Job Function

Pre/Post-Doctoral Associates & Fellows

Position Type

Postdoctoral Associate / Fellow (Fixed Term)

Full Time/Part time

Full time

Pay Basis

Salary

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 .

  • Statement of Assurance


Funding details

This is a grant-funded position with full employee benefits.

What's required

Applicants must have a PhD in a related field. Experience working on and publishing refereed papers on problems related to discrete and continuous optimization and machine learning is required. Strong analytical, problem-solving, organizational, and communication skills are expected. A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered. Applicants must be currently legally authorized to work for CMU in the United States; CMU will not sponsor or take over the sponsorship of an employment visa for this opportunity. Only the 12-month OPT may be used to work at Carnegie Mellon.

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