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Computer Science Postdoc Jobs in Pittsburgh, PA (NOW HIRING)

micro1 AI

AI Training Specialist - Physics

Pittsburgh, PA · On-site +1

$80 - $150/hr

... postdoctoral researcher, research fellow, junior/assistant professor, or senior research scientist ... Reliable access to high-speed internet and a computer suitable for rigorous technical work.

Carnegie Mellon University

The Lane Fellow

Pittsburgh, PA · On-site

$47K - $64K/yr

... biological sciences so that they can pursue postdoctoral research in the rich computational ... computer, travel to conferences, membership in relevant professional societies, and journal ...

Carnegie Mellon University

The Lane Fellow

Pittsburgh, PA · On-site

$45K - $62K/yr

... biological sciences so that they can pursue postdoctoral research in the rich computational ... computer, travel to conferences, membership in relevant professional societies, and journal ...

Carnegie Mellon University

The Lane Fellow

Pittsburgh, PA · On-site

$45K - $62K/yr

... biological sciences so that they can pursue postdoctoral research in the rich computational ... computer, travel to conferences, membership in relevant professional societies, and journal ...

Fujitsu

Senior Researcher, AI Security

Pittsburgh, PA · On-site

PhD in Computer Science and a related field * Strong track record of publishing research in top ... postdoctoral research or impactful projects. * Proficiency in ML and AI programming written in ...

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Computer Science Postdoc information

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$24.3K

$57.3K

$81.1K

How much do computer science postdoc jobs pay per year?

As of Aug 20, 2026, the average yearly pay for computer science postdoc in Pittsburgh, PA is $57,299.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,600.00 and $64,600.00 per year, depending on experience, location, and employer.

What is a computer science postdoc?

A Computer Science Postdoc is a temporary research position for individuals who have recently earned a Ph.D. in computer science or a related field. Postdocs work under the supervision of a principal investigator to conduct advanced research, publish papers, and contribute to projects in academia, industry, or government labs. These positions help researchers gain additional expertise, expand their professional network, and prepare for careers in academia, research institutions, or industry. Typically, postdoc positions last between one and three years and may involve teaching responsibilities.

What does a computer science postdoc do?

As a Computer Science Postdoc, your daily work typically centers around conducting original research, designing experiments, and analyzing data related to your specialized field. You may meet regularly with your principal investigator (PI) and other lab members to discuss progress, troubleshoot problems, and plan new studies. Preparing manuscripts, presenting findings at conferences, and mentoring graduate or undergraduate students are also common responsibilities. Collaboration is often key, as projects may involve working with faculty, industry partners, or interdisciplinary teams, providing opportunities to broaden your research impact and professional network.

What are the key skills and qualifications needed to thrive as a computer science postdoc?

To thrive as a Computer Science Postdoc, you need a Ph.D. in computer science or a related field, strong research skills, and a solid publication record. Experience with programming languages (such as Python, C++, or Java), machine learning frameworks, data analysis tools, and version control systems is highly valued. Exceptional communication, project management, and collaboration abilities help you effectively engage with multidisciplinary teams and present complex findings. These skills ensure successful research contributions, smooth teamwork, and impactful advancement in the academic or industrial research landscape.

What are the most commonly searched types of Computer Science Postdoc jobs in Pittsburgh, PA?

The most popular types of Computer Science Postdoc jobs in Pittsburgh, PA are:

What are popular job titles related to Computer Science Postdoc jobs in Pittsburgh, PA?

For Computer Science Postdoc jobs in Pittsburgh, PA, the most frequently searched job titles are:

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The top searched job categories for Computer Science Postdoc jobs in Pittsburgh, PA are:

Computer Science Postdoc jobs near you
Infographic showing various Computer Science Postdoc job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $57,299 per year, or $27.5 per hour.

Post Doctoral Fellow

Carnegie Mellon University

Pittsburgh, PA • On-site

$47K - $64K/yr

Full-time

Medical, Retirement, PTO

Re-posted 8 hours ago

Carnegie Mellon University rating

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Company rating: 8.6 out of 10

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Job description

Description
The PLUS - Personalized Learning Squared project, run by the Human-Computer Interaction Institute at Carnegie Mellon University aims to double the rate of math learning in middle school students, particularly those who have been historically underserved. This project is operated in collaboration with Carnegie Learning and Stanford University and is led by Principal Investigator Prof. Ken Koedinger and Research Lead Dr. Danielle Thomas. PLUS features a hybrid tutoring platform that combines human and AI tutoring to deliver personalized learning for each student.
The National Tutoring Observatory, is a research infrastructure led by Prof. Rene Kizilcec at Cornell University, along with researchers from Carnegie Mellon University, Massachusetts Institute of Technology, and educational strategy company FreshCognate. The mission of the National Tutoring Observatory is to observe and record great teachers and tutors at work in one-on-one and small group interactions with learners. By partnering with a range of tutoring providers, we will create the world's largest repository of video and transcript data about tutoring interactions and the incredibly important work of teachers. The Observatory aspires to create a Million Tutor Moves dataset that records at least one million interactions between teachers and students. These new data will advance the science of instruction, provide important data for technologists developing AI tools, and allow the Observatory to create a pipeline for the creation of open-source AI tools.
About The Role:
We are looking for a postdoctoral fellow who will contribute to original research to improve student learning outcomes through improved tutoring for the PLUS project and the NTO. This fellow would be advised by Prof. Ken Koedinger and Dr. Danielle Thomas at Carnegie Mellon, while closely collaborating with Rene Kizilcec and Co-PIs of The National Tutoring Observatory..This includes work on improving tutor training, improving tutor-student matching, and developing AI-assisted support tools for tutors. This is an excellent opportunity for a technology-oriented postdoc researcher to make an impact on an exciting and fast-scaling project in the areas of educational data science, learning science, and education technology.
The ideal candidate will demonstrate strong problem-solving skills and apply interesting research methods and procedures to answering the following example research questions:
  • What are the key drivers of effective teaching and tutoring, and how do they vary across different tutoring modalities, implementations, and student demographics?
  • How can we best measure and isolate the tutoring actions and behaviors that correlate with, and ultimately predict, gains in student learning and engagement?
  • How can AI-driven tutoring tools be used to improve human tutor training and professional development?
  • How can AI-driven tutoring tools be used to improve the learning experiences and outcomes for students?

The ideal candidate will also possess strong quantitative analysis skills, and your responsibilities will include:
  • Collaborative problem-solving toward innovation in tutoring with different stakeholders
  • Design and implement evaluations of innovative programs
  • Data analyses and modeling using Python/R/or similar programming languages
  • Co-author research papers on the results of student learning modeling and studies
  • Attend required meetings and participate in various seminars and training workshops to maintain or update skills

What We Offer:
  • Competitive salary and benefits package including an automatic 8% monthly contribution to a retirement plan
  • Professional development opportunities including tuition benefits at CMU for you and your dependents
  • Comprehensive health insurance and generous PTO
  • Chance to work with the world's foremost learning science researchers
  • A fun, high-octane team that will work with you every step of the way

Salary: $60,000-$75,000
Qualifications
What You Bring:
  • Ph.D. in Cognitive Science, Learning Science, Computer Science, Information Systems, or related fields
  • A record of publications in Cognitive Science, Learning Science, AI in Education, and/or Educational Data Mining (conferences such as AIED, LAK, EDM, etc.)
  • Collaborative problem-solving skills to work effectively with state assessment professionals toward innovation in assessment
  • Experience working with discourse analyses, such as audio transcription analysis and multimodal data analysis
  • Data analysis skills with R/Python/or similar programming languages
  • Experience in public education is a plus

Application Instructions
Applications should include a cover letter describing qualifications and expressing interest, a CV and contact information for 2 references and a published paper (optional). Please direct questions and interest in the position to Danielle Thomas: drthomas@cmu.edu.

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