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About the Opportunity The Postdoc will be working on multidisciplinary research projects in the Bendable Electronics and Sustainable Technologies (BEST) Group led by Prof. Ravinder Dahiya. BEST group
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tenured/tenure-track and full-time-non-tenure-track faculty members and plans to continue this strategic growth in the coming years. Faculty research spans all areas of computing and is
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researcher to start in February 2026. The primary responsibility of the postdoc is to perform basic or applied research of a limited scope, primarily using existing theories and methods, ensuring that the
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University Seattle campus. Course topics include High-performance Computing, VLSI Design , Advanced Machine, Learning Combinatorial Optimization and Statistical Inference. Responsibilities include
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scientist or postdoc is required Publication record in topics relevant to Open6G research Experience with successful grant writing and funding applications Established research profile Publications in
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, V2X, Connected Health Mist, Edge and Fog Computing SDN/NFV IoT protocols IoT architectures Digital Twin Network Security Smart Applications Device/Edge and Cloud based Machine Learning Position Type
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, evaluation, and experimentation. Experience working in high-performance computing (HPC), distributed compute, or accelerated environments (GPUs, multi-node systems). Solid background in database systems
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-time research or scholarship; work under the supervision of a senior scholar. Please use the space below to identify specific requirements for this position. Seeking Postdoc to lead fMRI data analyses
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distributed or accelerated computing environments (e.g., GPU‑enabled systems, shared compute clusters ). Working knowledge of database systems, including: Relational databases (e.g., PostgreSQL / SQL
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electronic devices based on microbially produced protein nanowires. These biologically derived conductive materials enable sustainable approaches to energy harvesting, neuromorphic computing, and biosensing