Postdoctoral Researcher - Center for Information Technology in the Interests of Society
- University of California, Berkeley
- Location: Berkeley, CA
- Job Number: 7062946
- Posting Date: Jan 7, 2020
- Application Deadline: Open Until Filled
Postdoctoral Scholar – Center for Information Technology in the Interests of Society (CITRIS) ORU
CITRIS, an Organized Research Unit at the University of California, Berkeley, invites applicants for a postdoctoral research position to work with Professor Phil Kaminsky and Professor Ram Akella within their research group which is a collaborative for Cognitive, Contextual, Industrial, Big Data Analytics (CIBDA). Research areas currently being pursued by the group include: (1) AI/Deep Learning/Deep Reinforcement Learning, (2) Machine Learning, (3) Data Science, (4) Statistics (Bayesian, Causal, Frequentist, Time Series), (5) Stochastic Optimization, (6) Operations Research, (7) Very large-scale data mining and analysis, (8) Controls and Signal Processing, and (9) AI-based Text Analytics/Image Vision.
Candidates with backgrounds, training, expertise, and experience in one or more of the research areas being pursued are encouraged to apply.
The successful applicant will have the opportunity to collaborate and participate in the intellectual community at UC Berkeley, Davis, Merced, San Francisco, Santa Cruz and other campuses, as well as leading edge firms from Silicon Valley.
The position, starting in 2019 Fall or 2020 Spring, is for one year, full time 100%, with the possibility of renewal contingent on performance and funding. This position will be open until filled.
CIBDA is seeking creative, accomplished, and highly motivated postdoctoral scholars to work on identifying and modeling new research problems based on leading edge industry needs. The scholars will work closely with the PI’s to develop and adapt fundamental and new methods to solve these problems, and publish in major journals and conference outlets. The scholars will contribute to, assist or enable the creation of open source algorithms, software, and platforms, as well as testbeds, and assist with potential industrial deployment, to obtain feedback to identify key problem features, and create new theory that is industrially relevant.
CIBDA is particular interested in scholars who have strong disciplinary, modeling, computational and mathematical skills, with a demonstrated ability and desire to engage in transformational research with industry or other real world contexts. Candidates should be capable of fundamental concept development, resulting in both high impact publications and deployment and translation of research that will have global impact.
While being based at UC Berkeley, the scholar will be interacting with faculty from several campuses and several industries. This will require the ability to be flexible and mobile to achieve the research and impact goals.
Minimum/Basic Qualification (at the time of application):
Candidates must have completed all Ph.D degree requirements except the dissertation or be enrolled in an accredited Ph.D or equivalent international degree program.
Additional Qualification (by the start date):
PhD degree or equivalent international degree.
No more than four years of post Ph.D. research experience.
PhD or equivalent international degree in a relevant technical or interdisciplinary field such as AI/Machine Learning, Information Retrieval and Extraction, Data Science, CS, EE, ME, Statistics, or IEOR/Stochastic Optimization. Outstanding individuals from adjacent areas such as Applied Mathematics and Physics will also be considered.
Candidates should have a record of superior academic performance; the ability to be self-directed with broadly-defined limits on assignments; excellent communication skills, both oral and written; and a demonstrated ability to interact effectively with diverse people in a highly multidisciplinary environment, including academics and industry.