April, 2020
Description
Prof. Chris Manning and Prof. Jure Leskovec are inviting applications for a research position of Postdoctoral Scholar on a joint project about knowledge graphs and natural language processing. The project is developing novel approaches to constructing knowledge graphs from text, and then using them to perform representation learning and reasoning tasks.
Qualifications
We are searching for outstanding individuals with strong research background. Experience with research in one or more of the following areas is desirable: knowledge graph construction and reasoning, deep learning, representation learning. A Ph.D. degree in Computer Science or a related field with a background in a combination of machine learning, natural language processing, and network analytics is required.
How to Apply
To apply, please send us your application and reference letters:
- The application should include:
- A 1-2 page research statement, please make sure to address the following:
- the specific areas you want to work on,
- how they fit with research in our group,
- how they build upon your previous work, and
- your preferred start date;
- Your current CV with research background and a list of your publications;
- Copies of your two representative publications.
- A 1-2 page research statement, please make sure to address the following:
- Arrange for two letters of reference from your previous research supervisors and collaborators to be sent directly to snap-postdoc@cs.stanford.edu within two weeks of submitting your application.
The review of applications will begin immediately and will continue until the position is filled.
About Stanford University
Stanford, one of the world's top universities, is located on a beautiful campus in the San Francisco Bay Area. Stanford has long been a magnet for talent in computing, and is considered the birthplace and spiritual center of Silicon Valley, an unparalleled center of technological and scientific innovation.
Stanford University is an affirmative action and equal opportunity employer, committed to increasing the diversity of its workforce. It welcomes applications from women, members of minority groups, veterans, persons with disabilities, and others who would bring additional dimensions to the university's research and teaching mission.