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

Waabi

2026 Intern, PhD Research Scientist

Pittsburgh, PA · On-site

$60/hr

Qualifications: - Pursuing PhD degree in Computer Science, Engineering, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. - Demonstrated research/software ...

Waabi

2026 Intern, PhD Research Scientist

Pittsburgh, PA · On-site

$60/hr

Qualifications: - Pursuing PhD degree in Computer Science, Engineering, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. - Demonstrated research/software ...

Cmu

Data Scientist

Pittsburgh, PA · On-site

... PhD in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with two (2) years of experience. * Willingness to complete modest travel to various ...

Cmu

Senior Data Scientist

Pittsburgh, PA · On-site

... PhD in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with five (5) years of experience. * Willingness to complete modest travel to various ...

Cmu

Associate Data Scientist

Pittsburgh, PA

$57K - $57K/yr

... PhD in data science, machine learning, computer science, statistics, or related highly-quantitative discipline. * Willingness to complete modest travel to various locations to support the SEI ...

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Phd Computer Science information

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$54.9K

$80.7K

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How much do phd computer science jobs pay per year?

As of Aug 18, 2026, the average yearly pay for phd computer science in Pittsburgh, PA is $80,681.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,200.00 and $90,800.00 per year, depending on experience, location, and employer.

What is a PhD in computer science?

A PhD in Computer Science is the highest academic degree in the field, focused on advanced research and the creation of new knowledge in computing. It typically involves several years of coursework followed by original research culminating in a dissertation. Graduates often pursue careers in academia, research, or advanced industry roles that require deep technical expertise and problem-solving skills.

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

To thrive as a PhD in Computer Science, you need advanced expertise in algorithms, programming, and research methodologies, typically supported by a doctoral degree in computer science or a related field. Mastery of programming languages (such as Python, Java, or C++), data analysis tools, and familiarity with version control systems like Git are commonly required, along with experience in publishing academic research. Critical thinking, problem-solving, strong written and verbal communication, and perseverance are vital soft skills for success in research and collaboration. These skills and qualifications are essential for making significant contributions to the field, driving innovation, and effectively sharing knowledge with the academic and professional community.

What are some common challenges faced by PhD computer science students during their research?

PhD Computer Science students often encounter challenges such as defining a clear and impactful research problem, managing long-term projects with limited guidance, and coping with the pressure to publish in top-tier conferences or journals. Balancing coursework, teaching responsibilities, and research can also be demanding. Effective time management, networking with peers and mentors, and seeking regular feedback can help students navigate these challenges and achieve their academic goals.

Is a PhD worth it for computer science?

A PhD in computer science can lead to careers in research, academia, or specialized industry roles, often requiring advanced skills in algorithms, data analysis, and programming. While it offers opportunities for high-level positions and expertise, it typically involves several years of study and may not be necessary for most industry jobs, which often value practical experience and skills. The decision depends on career goals and the desire for research or teaching roles.

What can I do after a PhD in computer science?

A PhD in computer science prepares individuals for careers in academia, research, or advanced industry roles such as data scientist, machine learning engineer, or software architect. Graduates often pursue postdoctoral research, work in R&D departments, or obtain certifications in specialized tools and programming languages to enhance their expertise.

What jobs can I get with a PhD in computer science?

A PhD in computer science qualifies individuals for advanced roles such as research scientist, data scientist, machine learning engineer, or university professor. These positions often require strong analytical skills, programming expertise, and knowledge of algorithms, data structures, and AI tools. Graduates may work in academia, industry research labs, or technology companies focusing on innovation and development.

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

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

What job categories do people searching Phd Computer Science jobs in Pittsburgh, PA look for?

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

What cities near Pittsburgh, PA are hiring for Phd Computer Science jobs?

Cities near Pittsburgh, PA with the most Phd Computer Science job openings:

Phd Computer Science jobs near you
Infographic showing various Phd Computer Science job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $80,681 per year, or $38.8 per hour.

Research Associate - School of Computer Science - S3D

Carnegie Mellon University

Pittsburgh, PA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago

Carnegie Mellon University rating

8.6

Company rating: 8.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

67th of 618 rated colleges and universities

Job description

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 Software and Societal Systems (S3D) department within the School of Computer Science explores the vital intersection of the confluence of software, systems, and society to understand how computational technologies might better serve humanity. We are studying the bigger picture of computing in context in order to develop tools, policies, methods, and much more - all in the name of making the world a safer, more equitable, better place to call home.
S3D has a Research Associate opening to work on an interdisciplinary project focused on the development and evaluation of Privacy Technology for Smart Cities. This opening can be a particularly good match for a post-doctoral candidate, though applicants are not required to have a PhD. The project builds on the Internet of Things Privacy Infrastructure developed by Prof. Norman Sadeh at Carnegie Mellon University and involves developing, piloting and refining extensions of this technology in collaboration with the City of Long Beach. Today the infrastructure already hosts over 100,000 IoT resource descriptions and the IoT Assistant app has been downloaded by tens of thousands of users. The project involves deployment in the City of Long Beach as well as the design and piloting of new functionality, including GenAI Functionality.
Core Responsibilities
Actual work is expected to involve a mix of conceptual design, development, and empirical evaluation with actual end users in Long Beach. This will include running human subject studies to evaluate new functionality and understand overall acceptance of our technology, The successful candidate will be expected to work closely with the PI, Prof. Norman Sadeh, and publish papers in top-tier conferences and journals, help supervise more junior team members, and interact with end-users.
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.
Qualifications:
  • Master's Degree required. Doctoral Degree preferred.
  • 1-3 years of research experience required.
  • Strong background in privacy and security, and Human Computer Interaction, including human-centered design. Preference will be given to candidates who have done research in usable privacy and security.
  • Capable of working under limited supervision, being well organized, and have strong communication skills.
  • Experience collaborating with others in the context of large-scale research and software projects.
  • A combination of education and proven experience from which comparable knowledge is demonstrated may be considered.

Requirements:
  • Successful completion of a pre-employment background check

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
Researchers
Position Type
Staff - Fixed Term (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

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