. Design and implement anomaly detection models: Vision Models (CNNs, ViTs) for spectrogram/field-based detection, Transformers.../self-supervised learning. Strong background in Vision Models, Transformers, or GNNs applied to measurement, signal...
, and fixture characterization — including Transformers for frequency-domain signal analysis and Vision Models for calibration... characterization, calibration, and de-embedding. Strong ML background with experience applying GNNs, Transformers, or Neural Operators...
equipment, such as switchgear, motor control centers (MCCs), large power transformers, breakers, relays, and related systems...
for geometry/topology-aware modeling, Transformers for multimodal physical data, Vision Models for field/spectrogram-based... Required Qualifications Pursuing PhD in EE, Applied Math, CS, or related field. Strong hands-on experience with GNNs, Transformers, Vision...
, and fixture characterization — including Transformers for frequency-domain signal analysis and Vision Models for calibration... characterization, calibration, and de-embedding. Strong ML background with experience applying GNNs, Transformers, or Neural Operators...
equipment, such as switchgear, motor control centers (MCCs), large power transformers, breakers, relays, and related systems...
equipment, such as switchgear, motor control centers (MCCs), large power transformers, breakers, relays, and related systems...
, Transformers for sequential measurement data, and unsupervised/semi-supervised methods (autoencoders, normalizing flows..., or contrastive/self-supervised learning. Strong background in Vision Models, Transformers, or GNNs applied to measurement, signal...
equipment, such as switchgear, motor control centers (MCCs), large power transformers, breakers, relays, and related systems...
implementing and modifying modern vision models (CNNs, Transformers) rather than only using pre-trained models. Demonstrated...