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Professors/Associate Professors/Assistant Professors(AI+Transportation)

Source:       Time:2021-05-15

Job responsibilities:

Carry out research that enables autonomous driving, V2X, and AI Transportation, produce influential research outcome, and promote industrial application of the following research areas:

  • Machine learning/deep learning/reinforced learning algorithms, including statistical machine learning models, efficient neural networks, representation learning, self-supervised learning, graph representation learning, adversarial learning, multimodal and large-scale pre-training;

  • Computer vision, including image classification, facial recognition, object detection, image segmentation, image recognition, image/video understanding, and model compression;

  • Machine learning systems, including distributed optimization methods for machine learning, federated learning, and efficient neural networks;

  • Intelligent information retrieval, such as ranking, neural information retrieval, recommendation systems, user mining and modeling;

  • Data mining, including data crowdsourcing, social network mining, large image modeling and analysis, and stream data computing;

  • Decision-making optimization, including reinforcement learning, multi-agent learning, and large-scale optimization.

Qualifications and requirements:

  • Candidates should hold a doctoral degree (within three years of graduation and under 35 years old, for post-doc positions) in computer science, electronic engineering, automation, transportation, applied mathematics, pattern recognition, artificial intelligence or other related majors;

  • Candidates should have internationally recognized academic achievements; or rich R&D experience in industry;

  • Candidates should have extraordinary abilities in identifying and solving key research problems, with strong communication and teamwork skills.

Salary and benefits:

  • World-class research environment, internationally competitive package, Tsinghua benefits;

  • Open and collaborative academic atmosphere, sufficient start-up funds;

  • Research platform at Tsinghua with abundant data and top-tier industrial resources;

  • Mature pipeline for technology industrialization and incubation.

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