A postdoctoral position is available at the University of California, Berkeley for an individual who can lead an effort in inferencing on time-series data to extract novel science. The project is sponsored by a continuing grant from the Gordon and Betty Moore Foundation.
The main goal of this project is to produce novel science from large amounts of data in an environment where the computational needs vastly outweigh the available facilities, and intelligent (as well as dynamic) resource allocation is required. Areas of particular interest include semi-supervised learning, unsupervised anomaly detection, explainable/interpretable AI, and forecasting.
This work will draw on cutting-edge research in statistics, computational science, time-domain astronomy, and deep learning and is expected to lead to applications beyond astronomy. The collaboration has access to proprietary astronomical datasets and is building systems capable of ingesting, assimilating, and creating "new knowledge" from massive data streams expected from new projects, such as the Large Synoptic Survey Telescope and the Zwicky Transients Facility (ZTF). The collaboration also has access to large-scale computing facilities on campus, Lawrence Berkeley National Laboratory (LBNL), and through cloud computing time donated by industry partners.
This work will be directed by Prof. Joshua Bloom in the Astronomy Department but the position also calls for strong interactions with other senior members of the collaboration in other departments and at the Berkeley Institute for Data Science. Experience and a demonstrated interest working with graduate students across these disciplines is also encouraged.
Minimum qualifications include a Ph.D. in Computer Science, Electrical Engineering, Statistics, Astronomy or closely related field. The strongest candidates will have demonstrated success in conducting original research in statistics and/or machine learning (deep or otherwise) and should have an understanding and/or interest in topics of time-domain astronomy. An emphasis will be placed on Python programming experience and code quality.
Work will commence no later than 15 August 2018. The appointment may start on an earlier date, if mutually convenient (funding is already available to start as early as January 2018). The initial appointment is for two years, with renewal expected if progress is satisfactory and funds continue to be available. The starting salary will be commensurate with experience, and competitive with other postdoctoral positions. Please e-mail a short research statement, resume, list of publications, and copies of two recent publications (preprints or reprints) so that they arrive by the 15 February 2018 deadline to Prof. Joshua Bloom, at the above address. To receive full consideration, applicants should arrange to have letters of references from three individuals sent to Prof. Bloom by the 15 February 2018 due date (letters may also be emailed directly by the referees). Immigration status of non-citizens should be stated in the resume.