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Research Engineer (AI for autonomous driving perception) (LX)

Job no: 498945
Department: Infocomm Technology
Contract type: Contract
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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to deliver on an innovation research project where you will be part of the research team to conduct applied research in the topic of robust AI for autonomous driving perception. Detailed research tasks include physical-space adversarial example attacks, applying redundancy and diversity of deep neural networks to harden object detection and semantic segmentation, as well as maintaining the real-time performance of the hardened AI computing on embedded GPUs (NVIDIA Jetson AGX Orin). RGB camera and LiDAR will

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RSS Feed Source: Academic Keys

The Faculty of Engineering at the University of Southern Denmark (SDU) invites applications for 1 or more 3-year positions as a Ph.D. in Design and Development of Optimized Power Electronic Converter. The position is located in the section of Electrical Engineering in Sønderborg within the Centre for Industrial Electronics (CIE). CIE is embedded in a powerhouse in electronics, which includes researchers and developers at universities and industries on both sides of the Danish-German border. The position starts on September 1, 2025, or as soon as possible thereafter, depending on the agreement with the successful candidate.

The application deadline is June 30, 2025, at 11.59 PM / 23.59 (CET/CEST) 

Power Electronics Group at CIE focuses on power conversion systems, e.g. P2X, wind power conversion, solar power conversion, which are essential for green energy transition. One of the main components in such a system is power electronic converter. We focus

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U.S. citizens are strongly encouraged to apply

The Adaptive Real-Time Systems Laboratory (ARTS-Lab) at the University of South Carolina invites applications for a fully funded Ph.D. research assistant position devoted to advancing artificial-intelligence and machine-learning methods on small, power-constrained hardware—edge AI—for real-time, in-situ manufacturing. Our group develops novel sensors for metal and polymer additive-manufacturing (AM) processes and couples them with embedded AI to detect, diagnose, and ultimately prevent defects as parts are being built. The successful candidate will help design secure sensing pipelines, craft physics-aware ML models that ingest vibration, acoustic, thermal, LiDAR, and event-camera streams, and deploy those models on microcontrollers, FPGAs (including side-channel-resistant and cyber-hardened implementations), and emerging neuromorphic chips. Cybersecurity is a first-class concern: you will explore lightweight encryption, anomaly detection, and trusted-execution primitives so that edge devices remain resilient against tampering and data exfiltration even in harsh industrial environments. Although

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RSS Feed Source: Academic Keys

Job ID: 257721

Graduate Research Assistant (PhD Position)
Cleveland State University Job Categories Graduate Student
Academic Fields Ocean Engineering
Mechanical Engineering
Civil Engineering
Aerospace/Aeronautical/Astronautics

GRA POSITION – Urban Microclimate, Local Turbulence Characterization, and AI-Driven Modeling

The Multiscale Multiphysics Modeling and Data-Driven Analysis of Thermofluids (M3TFluiD) Lab at Cleveland State University is seeking highly motivated Ph.D. students to join a multi-year project focused on advancing climate-adaptive urban microclimate modeling using reduced-order modeling, CFD, and machine learning.

Students will work on one or a combination of the following focus areas with

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