科研上路¶
北京大学 - 前沿计算研究中心 - 教职机会¶
The Center on Frontiers of Computing Studies (CFCS), Peking University (PKU), China, is a university new initiative co-founded by Professors John Hopcroft (Turing Awardee) and Wen Gao (CAE, ACM/IEEE Fellow). The center aims at developing the excellence on two fronts: research and education. On the research front, the center will provide a world-class research environment, where innovation and impactful research is the central aim, measured by professional reputation among world scholars, not by counting the number of publications and research funding. On the education front, the center deeply involves in the Turing Class, an elite undergraduate program that draws the cream of the crop from the PKU undergraduate talent pool. New curriculum and pedagogy are designed and practiced in this program, with the aim to cultivate a new generation of computer scientist/engineers that are solid in both theories and practices.
Positions and Qualification
The center invites applications for tenured/tenure-track faculty positions. We are seeking applicants from all areas of Computer Science, spanning theoretical foundations, systems, software, and applications, with special interests in artificial intelligence and machine learning. We are especially interested in applicants conducting research at the frontiers of Computer Science with other disciplines, such as data sciences, engineering, as well as mathematical, medical, physical, and social sciences.
Applicants are expected to have completed (or be completing) a Ph.D., have demonstrated the ability to pursue a program of research, and have a strong commitment to undergraduate and graduate teaching. A successful candidate will be expected to teach one to two courses at the undergraduate and graduate levels in each semester, and to build and lead a team of undergraduate and graduate students in innovative research.
We are also seeking qualified candidates for postdoctoral positions. Candidates should have a Ph.D. in a relevant discipline or expect a Ph. D within a year, with a substantive record of research accomplishments, and the ability to work collaboratively with faculty members in the center.
To Apply
Applicants should send a full curriculum vitae; copies of 3-5 key publications; 3-5 names and contact information of references; and a statement of research and teaching to: CFCS_recruiting[at]pku[dot]edu[dot]cn . To expedite the process, please arrange to have the reference letters sent directly to the above email address.
Application for a postdoctoral position should include a curriculum vita, brief statement of research, and three to five names and contact information of recommendation, and can be directly addressed to an individual faculty member.
We conduct review of applications monthly, immediately upon the recipient of all application materials at the beginning of each month. However, it is highly recommended that applicants submit complete applications sooner than later, as the positions are to be filled quickly.
大英帝国理工 - 数据科学研究所 - 博士、博士后机会¶
Data science is therefore by nature at the core of all modern transdisciplinary scientific activities, as it involves the whole life cycle of data, from acquisition and exploration to analysis and communication of the results. Data science is not only concerned with the tools and methods to obtain, manage and analyse data: it is also about extracting value from data and translating it from asset to product.
Launched on 1st April 2014, the Data Science Institute at Imperial College London aims to enhance Imperial's excellence in data-driven research across its faculties by fulfilling the following objectives.
The Data Science Institute is housed in purpose built facilities in the heart of the Imperial College campus in South Kensington. Such a central location provides excellent access to collabroators across the College and across London.
To act as a focal point for coordinating data science research at Imperial College by facilitating access to funding, engaging with global partners, and stimulating cross-disciplinary collaboration.
To develop data management and analysis technologies and services for supporting data driven research in the College.
To promote the training and education of the new generation of data scientist by developing and coordinating new degree courses, and conducting public outreach programmes on data science.
To advise College on data strategy and policy by providing world-class data science expertise.
To enable the translation of data science innovation by close collaboration with industry and supporting commercialization.
If you are interested in working with us, please check our vacancies and other ways to get involved , or feel free to contact us.