Tenure-Track Faculty Positions

5 - 9 years

0 Lacs

Posted:6 days ago| Platform: Shine logo

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Work Mode

On-site

Job Type

Full Time

Job Description

You are invited to apply for the Tenure-Track Faculty Positions at the Institute of Statistical Science, Academia Sinica. As a potential faculty member, you will have the opportunity to contribute to our interdisciplinary community by bringing fresh perspectives to statistics, data science, and related fields such as computer science and artificial intelligence. Key Responsibilities: - Conducting research in statistics, data sciences, computer science, or related fields - Contributing to the academic activities of the Institute - Developing research proposals for current and future work - Publishing peer-reviewed papers and works Qualifications: - Hold a Ph.D. degree in statistics, data sciences, computer science, or related fields - Preferably have peer-reviewed papers or works published within the last five years The Institute of Statistical Science at Academia Sinica provides a secure and stimulating research environment with supportive administrative and IT teams, more than 30 faculty members, and numerous international visiting scholars. As a faculty member, you will have the flexibility to choose whether or not to teach, unlike traditional university faculty. If you are interested in this opportunity, please submit the following documents: - Cover letter - Up-to-date curriculum vitae - Detailed publication list - Research proposals about current and future work - Three letters of recommendation - Representative publications and technical reports - Names of your master's and doctoral advisers Applications will be reviewed on a rolling basis, and suitable candidates will promptly proceed to the subsequent evaluation stage. We encourage you to submit your application early as the submission deadline for this round is December 1, 2025. Electronic submissions are preferred and should be sent to recruit@stat.sinica.edu.tw. Join us at the Institute of Statistical Science, Academia Sinica, and be a part of our vibrant academic community dedicated to advancing research in statistics and related fields.,

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