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campus. We are particularly interested in researchers working in mathematical artificial intelligence, broadly construed. This includes, but is not limited to: machine learning algorithms, formal proof
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. The appointment will begin August 1, 2027, at the IU Indianapolis campus. This position entails a standard teaching load of four courses per semester, with a distribution of effort consisting of 80% teaching and 20
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, including, but not limited to, creative coding; computational, algorithmic and generative art; artifi cial intelligence and machine learning; human-computer interaction; interactive media; game art and
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, and policy-relevant research pertaining to labor-market governance, tax and public-finance analysis, law and political economy, and/or normative frameworks for evaluating the distributional effects
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will include development of algorithms for heterogeneous computing architectures and implementation of AI/ML in a real-time environment. The candidate will also have the opportunity to conduct
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, and policy-relevant research pertaining to labor-market governance, tax and public-finance analysis, law and political economy, and/or normative frameworks for evaluating the distributional effects
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in the summer in face-to-face or online modalities. The teaching load may be unequally distributed based on departmental needs. Additionally, the successful candidate will actively engage in service
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well as large-scale distributed research conducted in Terracotta. The research associate’s responsibilities will include training collaborating teachers on experiment setup in Terracotta, supervising
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of quantum algorithms for hybrid quantum simulators. Applicants should have a PhD in Physics, Chemistry, Computer Science, or a closely related field. To apply, a CV, a brief statement of research interests
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include: Lead original research in multimodal and causal AI for health; design, implement, and rigorously evaluate algorithms and full pipelines. Build reproducible research pipelines and maintain reliable