Open date: January 17th, 2020
Next review date: Friday, Feb 21, 2020 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.
Final date: Friday, Feb 21, 2020 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
We invite applications for a non-tenure-track full-time Research Training Group Postdoctoral Scholar position in the Department of Statistics, at the University of California, Berkeley. The Research Training Group Postdoctoral Scholar position is a non-renewable three-year position. The Research Training Group Postdoctoral Scholar will be expected to engage in teaching and research and participate in seminars and lectures within the department. This is a full-time (100%) position. The expected start date is July 1, 2020.
This position is partially supported by an NSF Research Training Group grant focused on Causality and Interpretability in Machine Learning. Please note that the teaching component of this position is conducted under the lecturer title. The primary research element is funded by the NSF grant in the postdoctoral scholar title and restricted to US citizens and permanent residents.
Basic Qualifications (required by time of application): must have a PhD (or equivalent international degree) or be enrolled in a PhD (or equivalent international degree) program at time of application.
Additional Qualifications (required by start date): PhD or equivalent international degree.
Preferred Qualifications: PhD in Statistics, Computer Science, or a related field.
The position has an annual salary of $65,065. UC Post Docs and Lecturers are in a represented bargaining unit.
We will consider strong candidates in any area of theoretical, applied, or computational statistics, with a particular interest in interdisciplinary activities. The Department of Statistics is interested in candidates who will contribute to diversity and equal opportunity in higher education through their teaching or research.
Three letters of recommendation are required. Letter writers will receive a URL from the online system through which to upload their letters. All letters must be received by February 21, 2020. It is the responsibility of the applicant to make sure that letters of recommendation are submitted on time. All letters will be treated as confidential per University of California policy and California State law. Please refer potential letter writers, including when letters are provided via a third-party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality: http://apo.berkeley.edu/evalltr.html prior to submitting their letters.
Applications should be submitted online, by registering at: https://aprecruit.berkeley.edu/apply/JPF01927
The position will be open until filled.
Please direct questions to: firstname.lastname@example.org.
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.
Curriculum Vitae - Your most recently updated C.V.
Statement of Research
Statement of Teaching - Applicants should document their experience in teaching Statistics, Data Science or a related field at the college level.
Statement on Contributions to Advancing Diversity, Equity, and Inclusion - Statement on your contributions to diversity, equity, and inclusion, including information about your understanding of these topics, your record of activities to date, and your specific plans and goals for advancing equity and inclusion if hired at Berkeley (for additional information go to https://ofew.berkeley.edu/recruitment/contributions-diversity).
Misc / Additional (Optional)
- 3 letters of reference required