Case Western Reserve University is offering PhD, MS, and intern positions in the research group of Prof. Gourav Datta, Assistant Professor in the ECSE Department. The group focuses on hardware-software co-design for efficient deep learning, developing energy-efficient computer vision and multimodal deep learning systems for next-generation intelligent sensing applications. Research areas include smart healthcare, robotics, real-time decision-making at the edge, and embedded systems. Key research thrusts involve designing autonomous multimodal agents, backpropagation-free learning, memory-augmented and neurosymbolic architectures, deployment of deep learning models on embedded and resource-constrained edge devices (FPGA, microcontrollers), and next-generation computing paradigms such as in-sensor processing and neuromorphic hardware. Applicants should have strong programming experience in PyTorch/TensorFlow, hardware design experience (HLS/Verilog), Python proficiency, and ideally ML compiler or model deployment experience. Candidates must be self-motivated, possess research curiosity, strong problem-solving abilities in coding and mathematics, and excellent communication skills. Attach a CV, academic transcripts, and a cover letter detailing motivation and relevant experience in ML/hardware. Funding is fully available for PhD students and exceptional MS students/interns with strong research experience. A $5,000 joining bonus is offered, along with access to extensive computing and lab resources. The lab provides comprehensive mentorship, a collaborative and inclusive environment, and support for publication and experimentation. To apply, email Prof. Gourav Datta ([email protected]) with the subject line 'Applying to Work on ML HW-SW Co-design', specify desired position (PhD/MS/intern), and attach your CV, academic transcripts, and a cover letter detailing motivation and relevant experience. The application window is open for Spring 2026 and Fall 2026.