345 computer-security-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Harvard University
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to support the position. Basic Qualifications Bachelor’s degree in statistics, computer science, data science, or closely related field with 2+ years of relevant experience. Proficiency in statistical
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is research excellence and fit with the lab’s focus. More information on the lab’s research is available here . We especially encourage candidates with proven experience in applying computational and
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offices. Meets regularly with the Department Head to discuss personnel and participates in the oversite of program and research goals. Maintain frequent communication with various Harvard department
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’ post-secondary education or relevant work experience Advanced degree in computer science, data science, engineering, or a related field within AI/ML Additional/Desired Qualifications: 3+ years
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. Along with access to Harvard’s library and other resources, the fellowship includes the requirement to teach one course per year, to participate in a fellowship program conference each spring, and an
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are invited to participate in broader activities at Harvard and Brown, including seminars and courses. The program serves as an ideal bridge between college and graduate school for students interested in
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needs of the School. Uphold Harvard’s standards for confidentiality, data security, donor privacy, and ethical stewardship Physical Requirements: Primary work takes place in an office environment. Some
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, program staff, and principal investigators. • Effectively engage with external collaborators, including state education agency leadership, to provide timely updates regarding the status of identified
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satisfaction surveys, the team measures impact by assessing how ideas are adopted in practice. It also leads recruitment of mayors into the Center’s Program for New Mayors and the Bloomberg Harvard City
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candidates pursuing experimental research in materials science and engineering, but will also consider strong candidates using theoretical and computational approaches. Relevant backgrounds include materials