Current Vacancies

Responsibilities:

• Conduct cutting-edge research in multimodal intelligent diagnosis and multimodal pre-training technologies.
• Responsible for research in multimodal intelligence and related downstream tasks, provide solutions and performance optimization in combination with application scenarios.
• Organize the implementation, code review and acceptance of projects.
• Participate in academic activities in the field, apply for national/local scientific research projects, publish translational scientific research achievements.

Qualifications:

• Ph.D. in computer science, pattern recognition, electronic information，software or related fields.
• Proficient with pattern recognition, computer vision, artificial intelligence or cognitive science, and more than 2 years of research in deep learning.
• Strong research ability, able to carry out innovative design and implementation of algorithm research, have a deep understanding of multimodal intelligence algorithm.
• Solid knowledge and experience with at least one major deep learning framework (e.g. PyTorch,MindSpore Tensorflow) and familiar with  at least one programing language(e.g. C/C++, Python).
• Ability to analyze and solve problems independently excellent interpersonal and collaboration skills, dare to break through and innovate in work, have good psychological quality and ability to work under pressure.

Benefits:

• Competitive salary to local universities (negotiable case by case)

导师信息：

王金桥 中国科学院自动化研究所模式识别国家重点实验室 研究员，博士生导师，紫东太初多模态中心常务副主任，中国科学院大学人工智能学院岗位教授，中科院人工智能创新研究院“2035团队”跨模态通用人工智能平台负责人。现任多模态人工智能产业联盟秘书长，中国技术创业协会技术创新工作委员会副理事长，获北京市高聚领军人才、广州市创新团队领军人才、山东省泰山领军人才等称号，主要从事多模态大模型、视频分析与检索、大规模目标识别等方面的研究。共发表包括IEEE T-PAMI、TIP、TNNLS、ICCV、CVPR、NeurIPS、ECCV等国际权威和顶级会议论文300余篇，国际杂志50余篇，国际会议220余篇。完成国家标准提案3项，发明专利36项，10项国际视觉算法竞赛冠军，吴文俊人工智能科技进步二等奖，中国发明创新银奖。曾携自主研发的人工智能机器人在CCTV1、CCTV2、CCTV3、北京卫视和湖南卫视等做技术展示。