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and tools to support human and social activities. This role is responsible for managing the HCII PhD program. You will support and mentor PhD students, ensure compliance and integration with university
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dynamics (algorithms and current practice). Experience in AI/ML. Experience in application performance optimization. Familiarity with parallel programming models (e.g., OpenMP, MPI, CUDA). Experience
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current practice). Demonstrated expertise in AI/ML. Proven track record in application performance optimization. Advanced experience with parallel programming models (e.g., OpenMP, MPI, CUDA). Extensive
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. utilities, libraries, plugins) Experience with parallel file systems (e.g. Lustre, GPFS) Experience in high performance computing (HPC) environment. Experience with configuration management software such as
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world. Qualifications PhD (or equivalent international degree) or enrolled in PhD (or equivalent international degree generating program) at the time of application. Candidates will be expected to complete their PhD
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the themes above Mentor PhD and MS students Lead and co-author publications Optionally participate in workshop organization or broader impacts activities Other duties as assigned. Adaptability, excellence, and
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, reinforcement learning, probabilistic modeling, and language-guided autonomy. Core Responsibilities: Conduct independent and collaborative research aligned with the themes above Mentor PhD and MS students Lead
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qualifications: Advanced degree (MS or PhD) in mathematics, computer science, or a related field—or equivalent practical experience. 3-5 years of systems programming and administration experience. Experience
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Supervising and mentoring junior PhD students and post-doctoral fellows working on the project Perform other duties as assigned Flexibility, excellence, and passion are vital qualities within the School
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and relevant experience from which comparable knowledge is demonstrated may be considered. Preferred qualifications: Advanced degree (MS or PhD) in mathematics, computer science, or a related field—or