3 New York University jobs found

  The Department of Engineering and Applied Sciences (SEAS) at Columbia University in the City of New York invites applications for an Associate Research Scientist position in the areas of AI security & reliability, AI systems, data management, knowledge-grounded models, and enterprise automation within the Infosys Topaz Columbia University Enterprise AI Center. The Center is a joint initiative between Columbia University and Infosys, focused on advancing the design, governance, and adoption of responsible, human-centered AI systems. The successful candidate will be expected to conduct and publish original research areas such as AI security & reliability, AI systems, data management, knowledge-grounded models, and enterprise automation. The position emphasizes applied innovation—designing, prototyping, and evaluating practical systems and tools that demonstrate both technical rigor and business impact. Candidates will work in close collaboration with...

  We are seeking an emerging scholar to join Te Puna Haumaru, our Centre for Security and Crime Science, based in Hamilton. This permanent Lecturer role offers the opportunity to develop a high-impact research programme focused on reducing crime and enhancing community safety in Aotearoa New Zealand. Areas of interest include (but are not limited to) cybercrime, violent extremism, organised crime, environmental crime, and crime related to natural hazards. You will contribute to high-quality, research-led teaching at undergraduate and postgraduate levels, supervise Honours, Masters and Doctoral students, and build collaborative partnerships with academic, community and industry stakeholders. You will play a key role in strengthening the Centre's national and international reputation through publications, research funding, and engagement with policy and practice. Salary will be in the range of $92,603 to $110,407 per year pro-rata, based on skills, knowledge...

    We are seeking a postdoctoral fellow in computational spatial biology to work in the laboratory of Professor Sylvia Plevritis in the Department of Biomedical Data Science at Stanford University. This research opportunity will be focused primarily on the development and application of novel computational algorithms to analyze and integrate diverse omics datasets, including single-cell RNA-seq, spatial transcriptomics and multiplexed immunofluorescence in-situ images, in the study of immune-stromal-cancer interactions in metastatic progression. The scholar will aim to understand mechanisms through which the tumor microenvironment impacts tumor invasion and metastatic progression, using high-throughput data derived from cellular subpopulations within tumors. The individual will work closely with experimental biologists to translate computationally-derived results into experimentally testable hypotheses and analyze the resulting data from the experiments.