112 parallel-computing-numerical-methods positions at Rochester Institute of Technology
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research groups at RIT, including those in astrophysics, climate science, biology, software development, statistical machine learning, computational and data science. Candidates must possess a robust track
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Statistics Faculty Type (Tenure Status): Tenure-Track Faculty Discipline: Applied Mathematics, Applied Statistics, Computational Mathematics Faculty Rank: Assistant Professor Employment Category: Fulltime
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assignment information confidential Comfortable working in setting with diverse populations and modes of communication Accustomed to working with computers and new technology Ability to work independently
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. Certain recurring university events, such as Student Orientation, require full staff participation. Actively support the graduate training program through design and delivery of didactic training seminars
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and colleagues) Excellent customer service skills Excellent verbal and written communication skills Intermediate sign language skills or a willingness to learn Advanced computer skills Organizational
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team. We value and care about our team members and are committed to your well-being. As part of the team, you are eligible for RIT's comprehensive and competitive benefits program that adds generously
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oversee all aspects of the training program, from trainee recruitment to completion of program. The Associate Director of Training provides oversight of trainee supervisors and serves as a member of the
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the long-term direction of RIT’s staff compensation philosophy and program execution. This role oversees the development and implementation of comprehensive compensation policies that address complex
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, campus-wide wellness movement. As a key leader you’ll shape strategy, lead a vibrant peer education program, and champion prevention efforts. This is your chance to empower students, foster a culture of
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machine learning, computational and data science. Candidates must possess a robust track record of research in fundamental AI and data science. We are particularly interested in individuals who have