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Three position announcements from the SCEC Community

Date: 07/29/2022

Dear SCEC Community,

Please see below for the following announcements regarding open positions:

Call for 2023 Visiting Professor/Post-doc position at ERI (Due: Aug. 2)
System Administrator - Berkeley Seismological Lab
Three post-doctoral positions: artificial intelligence for subsurface carbon sequestration planning


On behalf of Masataka Kinoshita, Earthquake Research Institute (Japan)

Call for 2023 Visiting Professor/Post-doc position at ERI (Due: Aug. 2)

Dear colleagues,

This is a reminder for the Call for 2023 Visiting Professor/Post-doc position at ERI. The deadline is August 2 (Tuesday), 2022.

Institution: Earthquake Research Institute, The University of Tokyo, Japan
Call for 2023 Visiting Professor/Post-doc position at ERI.
The deadline is August 2 (Tuesday), 2022.

For more details, please visit

The Earthquake Research Institute (ERI), The University of Tokyo, invites applications for Visiting Professor / Post-doctoral Fellow positions in the research fields of earthquakes, tsunamis, their engineering, volcanoes, and physics of the earth’s interior. The applicant must be a Ph.D. degree holder or expected to have Ph.D.by the time of appointment. The period of each position will be from four* to twelve months starting between April 1, 2023 and October 1, 2023. (* Three months is also possible, if candidates cannot leave their institutions for more than three months.) Successful candidates are expected to carry out research at ERI as an employee of the University of Tokyo. Monthly salary, ancillary expenses including partial housing costs and commuting allowance will be paid following the rules of the University and ERI.

While priorities are given to the first-time visitors, we also consider second-time applications if he/she is willing to contribute to education by teaching a course or co-tutoring graduate students with our faculty members.

Candidates are requested to submit on-line application form and the following set of documents at: https://erikokusai.confit.atlas.jp/en (Please create your account first.)

(1) Title of research and research proposal at ERI (300-500 words)
(2) Summary of research that the candidate has conducted (300-500 words)**
(3) Desired length of stay: from four to twelve months
(4) Desired host at ERI and correspondence
(5) CV with birthdate and detailed account of academic activity
(6) List of academic publications (identify a few papers relevant to the proposal)

**Second-time applicants can also submit education proposals, lecture series etc.

*If you are unable to submit the documents online, please send them via e-mail to:

You will receive an acknowledgement of receipt e-mail from us in 3-4 days after submission. If not, please contact us.

For information on host researchers at ERI, visit http://www.eri.u-tokyo.ac.jp/en/member/.
Prior contact with an ERI faculty member is required. If you need assistance in finding a suitable host researcher at ERI, please contact us well in advance to discuss your research proposal with the host, by the mid-July 2022.

The deadline for this application is Tuesday, August 2, 2022 (Japan Standard Time).

For further information regarding this position, please visit

Please feel free to contact intl-office<at>eri.u-tokyo.ac.jp


On behalf of Olive Sierra Boyd, Berkeley

System Administrator - Berkeley Seismological Lab

System Administrator (7304U) #39716
**This is a 1-year contract appointment with the possibility of extension and/or conversion to career.**

Application Review Date

The First Review Date for this job is: August 4, 2022 - Open Until Filled 

Departmental Overview
The UC Berkeley Seismological Laboratory (BSL) operates a seismic and geophysical network in northern California, collecting, analyzing, and archiving data for the purposes of earthquake detection and scientific research. The Berkeley Seismological Laboratory, in collaboration with other universities and state/federal organizations, operates seismic and geophysical networks that provide earthquake early warnings to federal and state government organizations, emergency response entities, and the public. In particular, the BSL contributes to and supports the West Coast ShakeAlert Earthquake Early Warning System.

This position provides Linux system administration and IT support for the production ShakeAlert platform, as well as for the software development and scientific research efforts at the BSL.


  • Operate, monitor, troubleshoot, and maintain computer systems for the production and distribution of rapid automatic earthquake products in an on-call, 24/7 operational environment.
  • Install, update, and patch operating systems, libraries, and auxiliary applications in a Linux environment.
  • Implement and maintain security measures according to campus and project practices and guidelines.
  • Develop and maintain documentation on procedures related to the supported systems, software, and operations.


  • Support developers and the development environments for projects, such as ShakeAlert and AQMS.


  • Collaborate with internal and external academic, government, and industrial partners in design, integration, and operation of earthquake early warning systems.


  • Install, update, and operate applications, such as ShakeAlert and AQMS software, including supporting libraries, utilities, and configurations. 
  • Manage code builds, run-time configurations, and metadata in a repository using modern code management tools. 
  • Support the testing and certification environments for projects, such as ShakeAlert and AQMS.


  • Perform all other duties as assigned, including varied technical assignments requiring the use of standard scientific principles and technique.

Required Qualifications

  • Extensive knowledge of Linux system operations, configuration, and management (experience with RedHat preferred).
  • Experience working within a shell environment and the ability to write complex scripts (ex. Bash/Python/Perl). 
  • Hands-on experience maintaining server-class hardware and external RAID arrays in a data center environment. 
  • Knowledge of system monitoring (experience with Nagios preferred).
  • Knowledge of content management systems (experience with Ansible/Puppet preferred). 
  • Knowledge of code revision systems (experience with Git preferred). 
  • Knowledge of security best practices. 
  • Work collaboratively with a team that includes remote members.

Preferred Qualifications

  • High level of initiative, proactive, self-starter with excellent interpersonal and presentation skills. 
  • Work independently on related assignments and projects with only limited supervision, typically receiving only general instructions. Exercise discretion and independent judgment to compare and evaluate various methods, approaches, and resources and decide which will best accomplish each aspect of such assignments and projects. 
  • Excellent attention to fine details, writing, and communication skills.

Salary & Benefits

Salary is commensurate with experience. For information on the comprehensive benefits package offered by the University visit:


Other Information

**This is a 1-year contract appointment with the possibility of extension and/or conversion to career.**

Conviction History Background

This is a designated position requiring fingerprinting and a background check due to the nature of the job responsibilities. Berkeley does hire people with conviction histories and reviews information received in the context of the job responsibilities. The University reserves the right to make employment contingent upon successful completion of the background check.

Equal Employment Opportunity

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, or protected veteran status. For more information about your rights as an applicant see:


For the complete University of California nondiscrimination and affirmative action policy see:


How to Apply

Please submit your cover letter and resume as a single attachment when applying.

UC Berkeley jobs page



On behalf of Jef Caers, Stanford University

Three post-doctoral positions: artificial intelligence for subsurface carbon sequestration planning

The Stanford Center for Earth Resources Forecasting has received funding for a 6-year project to build artificial intelligence for optimal planning of carbon sequestration operations in Eastern Europe. Our project will develop a state-of-the-art Intelligent Agent by formulating sequential decision problems, such as planning CCS operations, as Partially Observable Markov Decision Processes (POMDPs) and developing practical solution methods in a real-world setting that can address the speed and urgency of needing to store CO2 in the subsurface. The goal of this project is to enable better decision making around how, where and at what rate to inject, what monitoring data to plan for safeguarding against induced seismicity and leakage. This aim is for this research to be implemented by a collaborating company by 2030, thereby contributing to the net-zero 2050 challenge.

Because of the breadth and potential impact of this project, we are putting together a large team of students, post-docs and faculty. We are currently seeking to hire three post-doctoral candidates in the following areas:

  • Optimization and decision making under uncertainty
  • Modeling and numerical simulation of coupled fluid flow and geomechanics in subsurface formation with uncertainty quantification
  • Geophysical and other monitoring systems for subsurface fluid flow.

We are looking for candidates with:

  • Excellence in research as demonstrated through publications in scientific journals.
  • Experience with real field case studies, not necessarily CCS.
  • Computer skills either using commercial or open-source software in the area of decision making under uncertainty, or, computational physics and scientific programming in areas related to fluid flow and fluid-structure interactions, or, geophysical modeling and inversion.
  • Demonstrated skills in python or similar scripting languages (e.g. Julia).
  • Demonstrated skills in collaborative research.

We are seeking candidates who are quick learners with demonstrated collaborative skills in real world settings, with real case studies. Being able to work in high-energy interdisciplinary teams, and excellent presentation skills are important. We are also looking for candidates with computer science development skills beyond using standard commercial software.

Send a CV, statement, and a list of three referees to jcaers@stanford.edu

In your statement, please elaborate explicitly on the following questions:

  • Which of the three areas are you applying for
  1. Optimization and Decisions
  2. Flow Modeling and UQ
  3. Geophysical monitoring.
  • What real field cases have you been involved with?
  • What is your level of programming as provided through examples?

Successful applicants will start ASAP, the positions remain open until filled.

Principal Investigators
Jef Caers, Professor of Earth and Planetary Sciences, Stanford University
Tapan Mukerji, Professor of Energy Resources Engineering, Stanford University
Hamdi Tchelepi, Professor of Energy Resources Engineering, Stanford University
Mykel Kochenderfer, Professor of Aeronautics and Astronautics, Stanford University



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