Model Development: Design implement and optimize deep learning models for various tasks in the field of 3D visionResearch:Contribute to the development of algorithms and models within the domain of 3D visionImplement and validate models using various data setsInvestigate the application of unsupervised data and knowledge distillation techniques to improve the performance of machine learning modelsConduct research to explore novel techniques and algorithmsStay updated with recent advancements in the fieldDesign and apply various metrics to evaluate your workData Analysis:Prepare filter process and analyze large-scale datasets to train and evaluate modelsAnalyze the results of your algorithm and compare with other leading methodsAlgorithm Optimization:Optimize models for real-time performance and resource efficiencyCollaboration:Work in sync with interdisciplinary teams to integrate models into larger products or research studiesCollaborate with international teams
Solid base in computer vision machine learning and deep learning
Knowledge in the field of 3D computer vision techniques (e.g. stereo structure from motion Camera model)
Proficiency in Python and deep learning frameworks (e.g. PyTorch)
Experience in working with large scale datasets
Experience with optimizing models in both size and runtime
PhD or Masters degree in Computer Science Electrical Engineering or related field
Publications in top-tier computer vision conferences (CVPR ICCV ECCV)
Analytical and detail-oriented with a curiosity about problem-solving
Proficient in both written and verbal communication
Ability to work both autonomously and collaboratively
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