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Trustworthy AI Systems NSF Research Traineeship, the Digital Trade and Data Governance Hub, the Center for Machine Learning, and the Human-Computer Interaction Lab at UMD, and the Center for Equitable AI and
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work on topics related to AI, meta-analysis of scientific literature, and trustworthiness in AI. The scholar will have deep expertise in AI, meta-analysis, and/or social science. As part of their role
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deep expertise in behavioral approaches to social science, including but not limited to the design and analysis of experiments. The researcher will be expected to work on topics related to misinformation
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deep expertise in computational approaches to social science, including but not limited to the collection and analysis of large amounts of data. The applicant will be intimately familiar with
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PhD or equivalent qualification in a relevant field by the date of employment. Desired Qualifications: PhD in any engineering discipline. Strong proficiency in coding, including coding in python
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PhD or equivalent qualification in a relevant field by the date of employment. Desired Qualifications: PhD in any engineering discipline. Strong proficiency in coding, including coding in python
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interested and/or want more information about the position, please contact Miguel Lejeune at [email protected]. Minimum Qualifications Applicants must have fulfilled all requirements for the award of a PhD or
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and graduate students, write grants and fellowship proposals and prepare manuscripts for publication. Minimum Qualifications Applicants must have fulfilled all requirements for the award of a PhD or
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the supervisor from assigning duties that are logically related to the position. A Postdoctoral Fellow: Holds a DrPH/PhD or equivalent degree; Develops skills by participating in scholarly projects
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development goals will be discussed and fostered throughout the postdoctoral period. The researcher will participate in tape-outs together with the PI and PhD students in the Adam’s group and benefit from our