16 security-"https:"-"https:"-"https:"-"https:" research jobs at Carnegie Mellon University
Sort by
Refine Your Search
-
Are you a cybersecurity and/or AI researcher who enjoys a challenge? Are you excited about pioneering new research areas that will impact academia, industry, and national security? If so, we want
-
Are you a cybersecurity and/or AI researcher who enjoys a challenge? Are you excited about pioneering new research areas that will impact academia, industry, and national security? If so, we want
-
Are you a cybersecurity and/or AI researcher who enjoys a challenge? Are you excited about pioneering new research areas that will impact academia, industry, and national security? If so, we want
-
Are you a cybersecurity and/or AI researcher who enjoys a challenge? Are you excited about pioneering new research areas that will impact academia, industry, and national security? If so, we want
-
Monitoring and Safety Evaluation - Develop algorithms for monitoring human actions during physical task execution using multimodal sensing (vision, pose estimation, and tactile signals). The candidate will
-
(Cornell), and David Rand (Cornell). In addition to being a core member of the research team, the fellow will be embedded within the FAR.AI research community, providing direct access to technical AI safety
-
security. Acting as a bridge across major research units, CMIST serves as the university’s hub for education and scholarship in political science, strategy, and the future of war and peace. It fosters
-
Experience 0-1 Years of Data Entry Experience 0-1 Years of Record Management Experience 0-1 Years of Research Experience Training: OSHA Hazardous Materials Safety Training Are you interested in this exciting
-
Experience Training: OSHA Hazardous Materials Safety Training Are you interested in this exciting opportunity?! Apply today! Joining the CMU team opens the door to an array of exceptional benefits. Benefits
-
. Long-horizon and safety-aware planning under uncertainty. Function 2 2. Learning-Based Perception and Control Multi-modal and foundation-model-based approaches for robotics, including: Multi-modal