Real-Time Vision Engineer: Endoscopic Image Enhancement

Immigration Policy Lab; Zürich; Sur place; CHF 90 000 - 120 000; Plein temps

Avantages offerts par ce poste

Public transport tickets

ASVZ sports

Childcare

Résumé du poste

ETH Zurich in Zurich is offering a challenging Scientific Assistant position in the Biomedical Image Computing Group. The project focuses on real-time enhancement of endoscopic videos, translating existing and new neural-network architectures into low-latency processing pipelines connected to an industrial camera system.

The role emphasizes profiling, optimization, and deployment rather than large-scale training.

Qualifications

• MSc degree in computer science, machine learning, medical image computing, or a related field.
• Familiarity with neural-network-based image processing pipelines.
• Experience implementing neural-network architectures using PyTorch.

Responsabilités

• Implement, optimize, and deploy deep-learning image-enhancement models for real-time operation.
• Translate architectures into efficient real-time processing pipelines connected to an industrial camera system.
• Profile and optimize models for low-latency inference.
• Integrate camera acquisition and preprocessing pipelines; contribute to deliverables and manuscripts.

Connaissances

Familiarity with neural-network-based,

Python programming

PyTorch

Model deployment/acceleration (PyTorch

Formation

MSc degree in computer science, machine learning, medical image computing, or related field

Outils

PyTorch

ONNX

TensorRT

CUDA/C++

Description du poste

ETH Zurich in Zurich is offering a challenging Scientific Assistant position in the Biomedical Image Computing Group. The project focuses on real-time enhancement of endoscopic videos, translating existing and new neural-network architectures into low-latency processing pipelines connected to an industrial camera system.

The role emphasizes profiling, optimization, and deployment rather than large-scale training.