The D-Lab is hiring instructors and consultants for the Spring semester to teach introductory, advanced beginner, and intermediate workshops and / or provide consulting. If you feel inspired to help fellow researchers and students learn about and work research tools, methods & techniques, we're interested in hearing from you. D-Lab is an open, inclusive culture that values diversity and open exchange. We will let you develop leadership in your particular area while working collaboratively with other students and staff.

Specifically we are looking for students with compentency and experience using R, Python, Stata or Qualtrics. If you have other areas of expertise that you would like to share let us know.

Qualifications for D-Lab Instructors:

  • demonstrated competency in one or more: R/Python/Stata/Qualtrics

  • available on campus the week before classes start (January 9-13, 2017) (R & Python only)

  • current UCB students in the semester in which they teach

  • have experience with social science or humanities research data and applications

  • teaching experience - as a lecturer preferred

 

Qualifications for D-Lab Consultants:

  • demonstrated competency in one or more: R/Python/Stata/Qualtrics

  • experience with research design and analysis

  • have experience with social science, hard science or humanities research data and applications

  • available 2-4 hours/week to consult

 

Compensation and Hours

D-Lab instructors and consultants are hired as Student Assistants as of Fall 2016. Instructors are compensated for their time in the workshop plus preparation. We provide the workshop materials for the R, Stata and Python intro workshops. Instructors are also compensated to develop new workshop materials for the D-Lab pending approval. D-Lab instructors work a minimum of 10 hours per semester and no more than 10 hours per week. Instructors typically teach one workshop a month and may assist with another once a month. Consultants are compensated for the time during which they consult, hold office hours, prepare and follow-up.

Potential instructors should fill out this survey and email Patty Frontiera at: pfrontiera@berkeley.edu to apply.

 

 

Author: 

Patty Frontiera

Dr. Patty Frontiera is the D-Lab Data Services Lead and a geospatial data scientist.  She is the the official campus representative for ICPSR, the Roper Center, and the Census State Data Center network, and serves as the Co-Director of the Berkeley Federal Statistical Research Data Center (FSRDC).  Patty also develops the geospatial workshop curriculum, teaches workshops and consults on geospatial topics.  Patty has been with the D-Lab since 2014 and served as the the Academic Coordinator through Spring 2017. Patty received her Ph.D.