The Initiative for Data & Artificial Intelligence at Universidad de Chile is looking for Postdoctoral Researchers to join a collaborative team of PIs working on theoretical and applied aspects of Data Science.
The role of the postholder(s) is twofold: first, they will engage and collaborate in current projects at the Initiative related to statistical machine learning, natural language processing and deep learning, with applications to time series analysis, health informatics, and astroinformatics. Second, they are expected to bring novel research lines affine to those currently featured at the Initiative, possibly in the form of theoretical work or applications to real-world problems of general interest.
The successful candidate will have a PhD in Engineering, Statistics, Computer Science, Machine Learning or a related field, with proven research track record; postdoctoral research experience is desired yet not required for the post. The postholder will be a highly motivated researcher who can work independently and contribute as part of a multidisciplinary team with experience in the broad subfields of Data Science and their intersection with Engineering, Computer Science, Signal Processing, Medicine, and Astronomy.
These positions are offered on a fixed term basis for up to one year with a possibility for a further year extension.
Salary: CLP$2.000.000 per month (before taxes)
How to Apply
Full applications details (in Spanish) can be found here. Please send your application documents directly to idia [AT] uchile [DOT] cl no later than 15 July 2022. If you have any questions about this vacancy or the application process, please contact Felipe Tobar: ftobar [AT] uchile [DOT] cl
Universidad de Chile is committed to equity, diversity, and social inclusion. We strongly encourage applications from under-represented individuals in the profession, across ethnic and national origin, physical ability, and gender and sexual identity. Universidad de Chile believes in the value of different perspectives and backgrounds to build world class research groups.