84 big-data-phd positions at Carnegie Mellon University

  • Carnegie Mellon University | Pittsburgh, Pennsylvania | United States | 16 days ago

    data science, machine learning, computer science, statistics, or related highly-quantitative discipline with one (1) year of experience; or PhD in data science, machine learning, computer science

  • Carnegie Mellon University | Remote, Oregon | United States | 1 day ago

    , Apache NiFi, Kafka, and Logstash. Comprehensive knowledge in data science and machine learning, both supervised and unsupervised. Demonstrable experience with Big Data platforms and tools such as Jupyter

  • Carnegie Mellon University | Remote, Oregon | United States | 1 day ago

    knowledge in data science and machine learning, both supervised and unsupervised. Demonstrable experience with Big Data platforms and tools such as Jupyter Lab, ROCK NSM, and ALEX. Excellent communication

  • Carnegie Mellon University | Remote, Oregon | United States | about 23 hours ago

    , Apache NiFi, Kafka, and Logstash. Comprehensive knowledge in data science and machine learning, both supervised and unsupervised. Demonstrable experience with Big Data platforms and tools such as Jupyter

  • Carnegie Mellon University | Remote, Oregon | United States | about 23 hours ago

    knowledge in data science and machine learning, both supervised and unsupervised. Demonstrable experience with Big Data platforms and tools such as Jupyter Lab, ROCK NSM, and ALEX. Excellent communication

  • Carnegie Mellon University | Pittsburgh, Pennsylvania | United States | about 1 month ago

    data science, machine learning, computer science, statistics, or related highly-quantitative discipline with five (5) years of experience; or PhD in data science, machine learning, computer science

  • Carnegie Mellon University | Remote, Oregon | United States | 5 days ago

    About the role The SEI helps to advance software engineering principles and practices and serves as a national resource in software engineering and computer security. The SEI works closely with

  • Carnegie Mellon University | Pittsburgh, Pennsylvania | United States | about 1 month ago

    they do their jobs. Our work ranges in scope from the close-up investigation and examination of security data, to the assessment of large, enterprise-wide networks, to analyzing the cybersecurity of SoSs

  • Carnegie Mellon University | Pittsburgh, Pennsylvania | United States | 12 days ago

    . Additionally, we work in generative AI and large language models, deep fake video creation and detection, data visualization, and natural language processing. We have access to a wide variety of cyber-related

  • Carnegie Mellon University | Pittsburgh, Pennsylvania | United States | 28 days ago

    . Additionally, we work in generative AI and large language models, deep fake video creation and detection, data visualization, and natural language processing. We have access to a wide variety of cyber-related

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