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Carnegie Mellon University

Endowment management for university long-term funding

Senior Autonomous Systems Research Scientist

Robotics & Autonomous Systems +1Updated on Nov 14
Full-timeNo salary listed

About the Job

Requirements

  • A published track record of conducting machine learning and robotics research and applying scientific methods.
  • Experience leading research projects and collaborating across research teams and stakeholders.
  • Strong written and verbal communication skills, with the ability to convey complex technical ideas to diverse audiences.
  • Experience writing and delivering successful research proposals to funding agencies and leading the resulting projects.
  • Experience with programming languages such as Python, C/C++, and other pertinent languages and frameworks.
  • Familiarity with state of practice, emerging trends, and opportunities in industry and government focusing on maritime, land, or space domains.
  • A BS in Robotics, Computer Science, Machine Learning, Electrical Engineering, or a related discipline with ten years of experience; or an MS in those fields with eight years of experience; or a PhD in those fields with five years of experience.
  • Must be able to obtain and maintain a Department of War security clearance.
  • Must work onsite five days per week at the Pittsburgh or Arlington office.
  • Willingness to travel up to 25% of the time to locations outside the home location.

Responsibilities

  • Develop a research agenda and lead or conduct research in support of critical U.S. government needs.
  • Lead novel research in applied machine learning and robotics.
  • Lead interdisciplinary teams to turn research results into prototype operational capabilities for government customers and stakeholders.
  • Collaborate with researchers, developers, engineers, designers, technical leads, campus labs, and government customers to understand challenges, needs, and potential solutions.
  • Mentor and teach junior staff, lead technical sessions, and contribute to establishing technical norms for the Lab.
  • Maintain awareness of developments in AI-enabled autonomous systems, especially regarding national security use cases.
  • Develop and deliver technical presentations for diverse audiences, tailor content for varied stakeholders, speak at conferences and workshops, and publish in relevant peer-reviewed journals.

Desired Qualifications

  • Experience working with the Department of War and the Intelligence Community.

About the Company

Carnegie Mellon University

Endowment management for university long-term funding

CMU Investment Office manages Carnegie Mellon University's endowment to provide a permanent funding source for research, education, scholarships, and operations. It grows and protects long-term assets through a globally diversified portfolio across private equity, venture capital, hedge funds, real estate, natural resources, public equity, and fixed income, working with external managers; the endowment returned 6.6% in fiscal year 2024 and has an 8.7% 10-year average. Led by CIO Charles A. Kennedy, the office pursues a global, private-investment–centered strategy with disciplined risk management and external-manager partnerships. Its goal is to grow and preserve the endowment so CMU can sustain its research, education mission, and operations in perpetuity.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Pittsburgh, PA
Founded
2018

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