17 parallel-computing-numerical-methods Postdoctoral positions at University of Central Florida
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conducting research at the convergence of multiscale computational mechanics, civil infrastructure resilience and digital twin modeling. The position will require extensive collaboration across disciplines
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policy, management and organization science, computational social science, or AI-assisted research methods who want to produce publishable, policy-relevant evidence from a live national experiment. Strong
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research using mixed methods, qualitative and quantitative research designs including interviews, focus groups, surveys, and experiments, analyzing quantitative and qualitative data, publishing in leading
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The Opportunity (Job description): The Computational Catalysis Group, led by Prof. Shyam Kattel at the University of Central Florida, has an immediate opening for a postdoctoral researcher position
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of materials synthesizability, defect physics in semiconductors, and the development of advanced AI methods for materials science. Applicants should have a strong background in computational materials science
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. Ideal candidates should possess a strong background and experience in computational modeling of solid-solid, liquid-solid, and gas-solid interfaces using first principles methods, classical force fields
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CUDA), C++. Preferred Qualifications: Experience in the development and maintenance of scientific computing software suites. Experience in development and validation of multiscale numerical modeling
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Postdoctoral Scholar through UCF’s Preeminent Postdoctoral Program (P3) to conduct research at the intersection of structural dynamics and sensing, human-centered intelligent infrastructure, signal processing
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institutions. Skills we are seeking are: Citizenship: U.S. Citizen/Permanent Resident is greatly preferred. Minimum Qualifications: Ph.D. in Modeling & Simulation, Computer Science, Engineering, or closely
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the Principal Investigator (Dr. Shengli Zou). Conduct advanced computational chemistry research with a focus on nanophotonics, quantum mechanics, and machine learning–assisted modeling and simulations. Prepare