Postdoc @VI Group, Fudan University
Organizational Unit: School of Data Science, Fudan University
Duration: More than 1 year
Language Requirements: English
One Postdoctoral Fellowship position in medical imaging/analysis and deep learning are available immediately in VI Group, the school of data Science at Fudan University.
This post-doctoral project is mainly aimed at the development and verification of deep learning models and image processing methods for liver cancer and other cancer histopathology image data. Machine learning and deep learning technologies are the core technologies of the project. After being selected as a postdoc, you need to participate in the implementation and evaluation of machine learning/deep learning models, and contribute to the development of new methods and strategies in this field. It is suitable for those who are interested in developing careers in the interdisciplinary field of machine learning and medical image analysis.
Researchers who have successfully received funding from this project will join an interdisciplinary research team and work closely with clinical departments and other national and international research groups.
- 应具备 Python 编程方面的知识和经验，最好还具备常用深度学习框架的工作经验，如 Tensorflow/Keras 或 Pytorch
- Have or expect to obtain a doctorate degree (or equivalent) in a related discipline, and have a strong interest in the quantitative aspects of medical research
- Have relevant knowledge and research experience in related fields (such as machine learning, artificial intelligence, computer vision, biostatistics, etc.)
- Experience in large-scale biomedical data analysis or application of machine learning/deep learning/AI
- Experience in cancer-related research or medical image research
- Able to work together as part of a team, complete tasks independently, and be able to organize and prioritize tasks with minimal supervision
- Requires excellent written and oral communication skills in English
- Should have knowledge and experience in Python programming, preferably with work experience in commonly used deep learning frameworks, such as Tensorflow/Keras or Pytorch
We will provide a competitive salary according to the applicant's background, and support the applicant to actively apply for special funding support for postdoctoral students from Shanghai and the nation, as the additional salary.
申请材料: (Application Material)
Contains the following documents (English or Chinese are acceptable)
- A complete resume, including the thesis defense date, thesis title, previous academic positions, academic titles, current positions, academic honors and academic organization work
- Complete academic dissertation publication list
- Summary of current work (no more than one page)
Xiaoyu Nie, firstname.lastname@example.org
Yanwei Fu, email@example.com