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Postdoctoral Scholar - The Center for Targeted Learning - The School of Public Health
University of California Berkeley in Berkeley, California
Date Posted 09/14/2020
Postdoctoral-Computer Science
Employment Type Fulltime
Application Deadline Open until filled

Position: Postdoctoral Scholar - Employee
Location: University of California, Berkeley, CA
Salary: Commensurate with experience
Target start date: Fall 2020

The School of Public Health at the University of California, Berkeley seeks applications for a Post-doctoral Scholar research opening for data-scientist interested in machine learning and causal inference methods. This is a full-time position with an expected start date in fall 2020. The position will be funded for a minimum of 1 year at 100% FTE and will be supervised by Professor Mark van der Laan and Professor Maya Petersen.

The Center for Targeted Learning in the School of Public Health is recruiting for a postdoctoral scholar position in support of the aims in an NIH-RO1-grant on the development and application of statistical methodology for adaptive designs. In particular, it involves the development and application of a data adaptive surveillance system involving random sampling and testing for infectious diseases such as COVID-ID and HIV. In addition, it involves extending these adaptive surveillance systems to also include adaptive learning of (optimal) intervention strategies. These adaptive designs involve learning from the past, adjusting the sampling/test/treatment randomization probabilities, and online estimators with inference for various causal queries and measures of performance about the system one observes over time.

More about the Center of Targeted Learning can be found at:

Basic qualifications (at the time of application):
Ph.D. (or equivalent international degree), or enrolled in a Ph.D. (or equivalent international degree) granting program at the time of application

Additional qualifications (required by start date):
Ph.D. (or equivalent international degree)

Preferred Qualifications:
Ph.D. in one of a variety of fields, including but not limited to Statistics, Biostatistics, or related Data Science field
Experience in machine learning, causal inference, and interest in application of related estimators in big data situations
Demonstrated working knowledge of R statistical programming language and general issues in computational statistics
Demonstrated ability to formulate research questions, develop research plans, and write papers describing research findings
The Postdoctoral Scholar position is full-time for a one-year term. Salary scales for Postdoctoral are set by the University of California and the International Union, United Automobile, Aerospace and Agricultural Implement Workers of America (UAW), more information can be found here: https://www.ucop.edu/academic-personnel-programs/_files/1920/2020-postdoc-scales/t23.pdf .

Salary and Benefits:
Salary will be commensurate with qualifications and experience and based on UC Berkeley Postdoc salary scales. The University of California, Berkeley offer Postdoctoral Scholars a generous health and welfare package through Gallagher Benefit Services, more information can be found here: https://clients.garnett-powers.com/pd/uc/

To apply: please go to the following link: https://aprecruit.berkeley.edu/JPF02685

For information about the position or application process, please contact Lucas Carlton ( lucascarlton@berkeley.edu ).

Letters of reference may be solicited for finalists. We will seek your permission before contacting your references. All letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality ( https://apo.berkeley.edu/ucb-confidentiality-policy ) prior to submitting their letters.

The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. For the complete University of California nondiscrimination and affirmative action, policy see http://policy.ucop.edu/doc/4000376/NondiscrimAffirmAct .

UC Postdocs are exclusively represented by the International Union, United Automobile, Aerospace, and Agricultural Implement Workers of America (UAW) local (5810).

Diversity, equity, and inclusion are core values at UC Berkeley and The School of Public Health. Our excellence can only be fully realized by faculty, students, and staff who share our commitment to these values. Successful candidates for our academic positions will demonstrate evidence of a commitment to advancing equity and inclusion.

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