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research. Prepare and write research papers, presentations, grant proposals. Train Graduate Students. Qualifications: PhD in Computer Science or related field (completed or near completion) Strong
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Proven experience with multiple parallel programming paradigms, including but not limited to; MPI, OpenMP, and CUDA (Compute Unified Device Architecture) Experience in a batch HPC environment with a
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, 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 Academic Position Type Academic
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: Education and Experience B.S. Electrical Engineering / Computer Engineering or a related field. At least 10 years of relevant experience. Skills/Attributes Proficiency in robotic software architecture design
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combination of academic and industry experience. They will possess deep, hands-on expertise in modern AI architectures including convolutional neural networks, transformers, and diffusion models. The role also
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and skills required for this position are normally obtained through a Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field; Master's degree preferred and 5
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: (30%)- As a Full Stack Engineer, the position will l design and build secure, scalable architectures that power advanced cybersecurity platforms for healthcare. The work will include developing
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 13-Feb-26 Location: Boston, Massachusetts Type: Full-time Categories: Academic/Faculty Computer/Information Sciences
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. Qualifications A PhDin Information Security, Cybersecurity, Computer Science, or a closely related discipline is preferred. Candidates should have relevant industry experience in cybersecurity, ideally in roles
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inference Develop distributed model training and inference architectures leveraging GPU-based compute resources Implement server-less and containerized solutions using Docker, Kubernetes, and cloud-native