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Project Scientist - School of Computer Science - S3D

Carnegie Mellon University

Pittsburgh, PAFull-time / TemporarySeen todaySeen in employer's feed today

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At a glance

Compensation
No compensation found
Location
Pittsburgh, PA
Schedule
Full-time / Temporary
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

Master's degree

Job overview

Carnegie Mellon University’s School of Computer Science seeks a Project Scientist for an interdisciplinary research project on modeling and mitigating risks from agentic AI in enterprise environments. The work examines how autonomy, tool use, and multi-step planning affect cybersecurity and privacy, and evaluates technical and governance safeguards. The role is guided by faculty and informed by interactions with PwC personnel and clients; it may particularly suit a postdoctoral candidate, though a PhD is not required.

Skills & qualifications

RequiredNice to have

Skills

Independent WorkOrganizationCommunicationResearch CollaborationAI ResearchAgentic AIPrivacySecurityThreat Modeling

Qualifications

Master's in Computer Science or RelatedDoctorate Degree1+ Years Research ExperienceMultiple Peer-Reviewed PublicationsTop-Tier Academic VenuesPre-Employment Background Check

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match
Tuition Assistance
Paid Time Off

Full job description

Pittsburgh, PA

Full time

2025205

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 School of Computer Science at Carnegie Mellon University has a Project Scientist opening to work on an interdisciplinary project focused on modeling and mitigating risks introduced by agentic AI in the enterprise. This opening can be a particularly good match for a post-doctoral candidate, though applicants are not required to have a PhD

Agentic AI systems—capable of autonomous task execution, decision-making, and multi-step planning—are rapidly being integrated into workplace environments. These systems can schedule meetings, interact with email and web services, generate reports, access internal systems, and coordinate across third-party tools, effectively acting as semi-autonomous digital employees. While these capabilities offer significant productivity gains, they also introduce fundamentally new categories of risk that extend beyond traditional model-level concerns. In particular, agentic AI expands the risk surface from isolated model behavior to complex, system-level interactions involving tools, data, users, and external services.

This project focuses on two central research questions:

  • How does agentic AI—particularly autonomy, tool use, and multi-step planning—reshape traditional cybersecurity and privacy threat models in enterprise environments?

  • What technical and governance mechanisms (e.g., permissioning, monitoring, sandboxing, policy enforcement) are most effective in mitigating these risks while ensuring meaningful human oversight and control?

Candidates are expected to be capable of working under limited supervision, be well organized and have strong communication skills. They are also expected to have experience collaborating with others in the context of research projects.

This work involves working under the guidance of Prof. Norman Sadeh and Prof. Joe Calandrino and builds on their prior research. The project is funded by PwC's Digital Transformation and Innovation Center and is expected to be informed by interactions with PwC personnel and PwC clients.

Core Responsibilities

  • Development of threat and failure taxonomies for agentic AI in the enterprise

  • Development and simulation of synthetic workflows

  • Failure mode analysis

  • Development and evaluation of mitigation strategies

  • Identification/development of relevant metrics.

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 in computer science or a related discipline required. Doctorate degree preferred.

  • 1-3 years of research experience required.

  • Research experience in areas related to AI, Agentic AI, privacy, security and/or threat modeling with multiple peer-reviewed publications at top tier academic venues required.

  • 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 (https://www.cmu.edu/hr/benefits/eligibility/index.html) employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance (https://www.cmu.edu/hr/benefits/health-welfare/index.html) as well as a generous retirement savings program (https://www.cmu.edu/hr/benefits/retirement-savings/index.html) with employer contributions. Unlock your potential with tuition benefits (https://www.cmu.edu/hr/benefits/tuition/index.html) , take well-deserved breaks with ample paid time off (https://www.cmu.edu/hr/benefits/time-away/pto.html) and observed holidays (https://www.cmu.edu/hr/benefits/time-away/holidays.html) , 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 (https://www.cmu.edu/hr/work-life/support/family-child-care-resources/index.html) to help navigate childcare needs, fitness center access (https://athletics.cmu.edu/recreation/facilities) , and much more!

For a comprehensive overview of the benefits available, explore our Benefits page (https://www.cmu.edu/hr/benefits/index.html) .

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

Engineering, Research and Project Scientists

Position Type

Staff – Fixed Term (Fixed Term)

Full Time/Part time

Full time

Pay Basis

Salary

More Information:

Interested in a career with Carnegie Mellon University but not finding anything that currently aligns with your interests, background, or experience? Learn how to sign up for Job Alerts (https://www.cmu.edu/jobs/external-applicants.html#job-alerts) through your candidate profile.

If your heart is in your work, come work with us. Carnegie Mellon University isn’t just one of the world’s most renowned educational institutions – it’s also a hotspot for some of the most talented doers, dreamers, and difference-makers on the planet. When you join our staff, you’ll become an important part of our mission to create a healthier, safer, and more just life for all. No matter what your role or location, you’ll connect and collaborate with dedicated, passionate colleagues – and you’ll have the satisfaction of delivering work that truly matters.

We cultivate a vibrant, welcoming environment where everyone is valued and encouraged to contribute and achieve. In addition to competitive benefits and a robust support network, you’ll have access to many tools and resources to sharpen your abilities and professional skills, as well as opportunities to engage and share perspectives with a dynamic and inspiring community of uniquely talented staff, faculty, students, and alumni.

The future is awaiting your expertise and intellect. Come join the architects of what’s next. Apply now.

Learn more about Student Employment (https://www.cmu.edu/sfs/student-employment/index.html) .

Please see Faculty Careers. (https://www.cmu.edu/faculty-office/faculty-recruitment/faculty-careers.html)

For technical assistance, email HR Services ([email protected]) or call 412-268-4600.

We are committed to providing an accessible experience throughout our recruitment process. If you need assistance or a reasonable accommodation at any stage of the application, interview, or hiring process, please contact Equal Opportunity Services by email at [email protected] or by phone at 412-268-5072.

Prospective Employee Disclosures (https://www.cmu.edu/jobs/disclosures/index.html)

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