Postdoctoral Scholar in Data Science Program University of California at Berkeley, School of Information

Postdoctoral Scholar - Data Science Program - School of Information

 

  • School of Information - School of Information

 

RECRUITMENT PERIOD

 

Open date: March 12th, 2018
 
Last review date: April 2nd, 2018

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.
 
Final date: March 11th, 2019

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.
 

DESCRIPTION

 

The School of Information at the University of California, Berkeley seeks applications for multiple Postdoctoral Scholars, in the area of Data Science, at 100% time, to help teach in, build, and be an integral part of our web-based Master of Information and Data Science program (datascience.berkeley.edu).

 

The number of positions varies from semester to semester, depending on the needs of the School. Positions typically start in January, May, and August, and appointments may be renewed based on need, funding, and performance.

 

We are currently hiring for summer semester 2018. This is a full-time, one- or two-year, renewable, postdoctoral position.

 

The position will include teaching sections in our online Master’s program, research collaboration, and participation in the intellectual community at the School of Information and on the Berkeley campus.

 

Basic qualifications (by time of application):

 

A Ph.D. or equivalent degree is required at time of application or the completion of all degree requirements except the dissertation at the time of application.

 

Additional Qualifications (by start date):

 

A Ph.D. or equivalent is required by the date of hire. Successful candidates will have earned a doctoral degree in a relevant technical, social science, or interdisciplinary field such as Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, or Economics. The Data Science postdoc will have teaching and research experience in at least one of the following core areas:


• Storing and retrieving data (Databases)
• Visualizing and communicating data
• Applied machine learning
• Privacy, security, and ethics of data
• Experiments and experimentation with data
• Very large-scale data mining and analysis
• Research design and data analysis
• Exploring and analyzing data (Applied statistics)

 

Preferred Qualifications:

 

Preferred qualifications include a record of superior academic or professional 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.

 

Salary:

 

Starting salaries are typically in the range of $60,000 to $65,000 per year and commensurate with qualifications and experience.

 

The School of Information is interested in candidates who will contribute to diversity and equal opportunity in higher education through their teaching or other related areas. If the candidate has made contributions to this area, we recommend they submit a statement addressing past and/or potential contributions.

 

To apply, please go to the following link: https://aprecruit.berkeley.edu/apply/JPF01703

 

Applicants should submit a Cover Letter, a Curriculum Vitae, a Statement of Teaching Interests/Experience/Approach, a Short Statement of Research Interests/Experience/Approach, and a PDF copy of recent publication. Please indicate in your Statement of Teaching Interests/Experience/Approach which of these class(es) you believe you are qualified to teach. Optionally, applicants may provide Course Evaluations, up to two (2) additional PDF copies of recent publications, as well as a Statement of Contributions to Diversity (statement addressing past and/ or potential contributions to diversity through teaching or other related areas). We encourage you to send evaluations from any prior classes taught (as instructor, co-instructor, or teaching assistant). Three (3) letters of recommendation are required.

 

All letters of reference will be treated as confidential per University of California policy and California State law. Please arrange for letters of recommendation to be uploaded directly by recommenders. 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: http://apo.berkeley.edu/evalltr.html prior to submitting their letters.

 

This pool will remain open until March 11, 2019 to accommodate course needs and new applicants. Appointments are made for three starts per year: fall, spring, and summer. If you wish to remain in the pool after March 11, 2019 you will need to reapply.

 

Please direct questions to dean@ischool.berkeley.edu.

 

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: https://policy.ucop.edu/doc/4000376/DiscriminatioHarassmentAffirmAction.

 

About The I School

 

UC Berkeley’s newest school, the School of Information (I School), was created in 1994 to address one of society’s most compelling challenges: the need to organize and make sense of the abundance of information that we can now collect, store, and share without regard for cost or distance. The way we organize, represent, govern, and make sense of this information will shape our ability to achieve public as well as private goals.

 

The I School educates professionals and scholars to understand the problems and possibilities of information, to develop models of information practice, and to design useful and usable information applications, services, and solutions. This requires insights from diverse fields. Our faculty includes scholars and professionals with deep expertise in information and computer science, social sciences, management, law, design, and policy, as well as related fields.

 

We offer professional master’s degrees and an academic doctoral degree. Our on-campus master’s program (MIMS) trains students for careers as information professionals and emphasizes small classes and project-based learning. Our MICS program prepares cybersecurity leaders with the technical skills and contextual knowledge necessary to develop solutions for complex cybersecurity challenges. Our web-based master’s program (MIDS) is the first and only degree available completely online to train data science professionals. Our Ph.D. program equips scholars to contribute to knowledge and to the policies that influence the organization, use, and sharing of information.

 

Our graduates work at well-known Bay Area companies that include Apple, Google, Facebook, Salesforce, Twitter, and LinkedIn, as well as at nonprofits like Kaiser Permanente and established businesses like Wells Fargo and Chevron. Many of our graduates take advantage of the opportunity to get in on the ground floor to create or work for start-ups.

 

JOB LOCATION

Berkeley, CA

 

LEARN MORE

More information about this recruitment: https://www.ischool.berkeley.edu/about/ischooljobs/datascipostdoc

 

REQUIREMENTS

 

DOCUMENTS

  • Cover Letter

  • Curriculum Vitae

  • Statement of Teaching Interests/Experience/Approach - Please include which MIDS class(es) you are qualified to teach.

  • Short Statement of Research Interests/Experience/Approach

  • PDF copy of recent publication

  • PDF copy of recent publication (Optional)

  • PDF copy of recent publication (Optional)

  • Course Evaluations - We encourage you to send evaluations from any prior classes taught (as instructor, co-instructor, or teaching assistant) (Optional)

  • Statement of Contributions to Diversity - Statement addressing past and/or potential contributions to diversity through teaching or other related areas. (Optional)

 

REFERENCES

3 letters of reference required

 

HOW TO APPLY

  1. Create an ApplicantID

  2. Provide required information and documents

  3. If any, provide required reference information


If you apply for this position please say you saw it on Computeroxy

Apply

All Jobs

surrey

ubc reklama

Anu

cambridge

geneva

kuwait

Melbourne

nottingham

Nus

sfu

southampton

texas tech

Toronto

uni copenhagen

unsw

Uwo