University of California-Berkeley
Lecturer - Data Science Undergraduate Studies - College of Computing, Data Scien
University of California-Berkeley, Berkeley, California, United States, 94709
Lecturer - Data Science Undergraduate Studies - College of Computing, Data Science, and Society
Salary range: The UC academic salary scales set the minimum pay at appointment. The current full-time salary range for this position is $66,259-$186,446. Placement on the scale is commensurate with college teaching experience. Percent time: 15% to 100% Anticipated start: Positions usually start in July or August for Fall, January for Spring, and June for Summer. Review timeline: Applications will be accepted and reviewed for unit needs through January 2025. Applications are typically considered in April and May for fall course needs, in September and October for spring course needs, and February and March for summer course needs. The pool will close January 2025; applicants wishing to remain in the pool after that time will need to submit a new application. Application Window Open date:
January 11, 2024 Most recent review date:
Tuesday, Apr 2, 2024 at 11:59pm (Pacific Time). Applications received after this date will be reviewed by the search committee if the position has not yet been filled. Final date:
Friday, Jan 10, 2025 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. Position description Data Science Undergraduate Studies (DSUS) at the University of California, Berkeley invites applications for a pool of qualified temporary lecturers to teach DSUS courses should an opening arise. Screening of applicants is ongoing and will continue as needed. The number of positions varies from semester to semester (fall, spring, and summer sessions), depending on the needs of the unit. Responsibilities DSUS is seeking outstanding instructors to be appointed in the non-Senate Lecturer title series who can teach small and large courses in several areas. We are particularly interested in instructors who can combine computational and inferential thinking in a way that reflects the new field of Data Science Education. Core courses include: Fundamentals of Data Science, Principle and Techniques of Data Science, Human Contexts and Ethics of Data, Data and Justice, Data, Inference, and Decisions, Honors Thesis Seminar. Connector Courses:
Instructors may be hired to teach Connector Courses that connect Foundations of Data Science with other disciplines, such as neuroscience, legal studies, public health, demography, English, or others. Connector courses allow students to apply theoretical concepts from data science to a particular area of interest. Teaching a Data Science course may include:
holding office hours, assigning grades, advising students, preparing course materials (e.g., syllabus), providing clear and prompt feedback on student work, and maintaining the course website. DSUS is interested in candidates who will contribute to diversity and equal opportunity in higher education through their teaching. Please note: The use of a lecturer pool does not guarantee that an open position exists. Qualifications Basic qualifications:
Must have an advanced degree or be enrolled in an advanced degree program at the time of application. Additional qualifications:
Advanced degree. Candidates must already be authorized to work in the United States. Preferred qualifications:
A Ph.D. or equivalent international degree in computer science, statistics, information, applied mathematics, engineering, or the social sciences is preferred. Application Requirements Curriculum Vitae - Your most recently updated C.V.
Cover Letter
Statement of Teaching
Statement on Contributions to Advancing Diversity, Equity, and Inclusion (Optional)
Reference requirements:
3-4 required (contact information only) Apply link: https://aprecruit.berkeley.edu/JPF04278 Help contact:
cdss_ap@berkeley.edu Job location:
Berkeley, CA
#J-18808-Ljbffr
Salary range: The UC academic salary scales set the minimum pay at appointment. The current full-time salary range for this position is $66,259-$186,446. Placement on the scale is commensurate with college teaching experience. Percent time: 15% to 100% Anticipated start: Positions usually start in July or August for Fall, January for Spring, and June for Summer. Review timeline: Applications will be accepted and reviewed for unit needs through January 2025. Applications are typically considered in April and May for fall course needs, in September and October for spring course needs, and February and March for summer course needs. The pool will close January 2025; applicants wishing to remain in the pool after that time will need to submit a new application. Application Window Open date:
January 11, 2024 Most recent review date:
Tuesday, Apr 2, 2024 at 11:59pm (Pacific Time). Applications received after this date will be reviewed by the search committee if the position has not yet been filled. Final date:
Friday, Jan 10, 2025 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. Position description Data Science Undergraduate Studies (DSUS) at the University of California, Berkeley invites applications for a pool of qualified temporary lecturers to teach DSUS courses should an opening arise. Screening of applicants is ongoing and will continue as needed. The number of positions varies from semester to semester (fall, spring, and summer sessions), depending on the needs of the unit. Responsibilities DSUS is seeking outstanding instructors to be appointed in the non-Senate Lecturer title series who can teach small and large courses in several areas. We are particularly interested in instructors who can combine computational and inferential thinking in a way that reflects the new field of Data Science Education. Core courses include: Fundamentals of Data Science, Principle and Techniques of Data Science, Human Contexts and Ethics of Data, Data and Justice, Data, Inference, and Decisions, Honors Thesis Seminar. Connector Courses:
Instructors may be hired to teach Connector Courses that connect Foundations of Data Science with other disciplines, such as neuroscience, legal studies, public health, demography, English, or others. Connector courses allow students to apply theoretical concepts from data science to a particular area of interest. Teaching a Data Science course may include:
holding office hours, assigning grades, advising students, preparing course materials (e.g., syllabus), providing clear and prompt feedback on student work, and maintaining the course website. DSUS is interested in candidates who will contribute to diversity and equal opportunity in higher education through their teaching. Please note: The use of a lecturer pool does not guarantee that an open position exists. Qualifications Basic qualifications:
Must have an advanced degree or be enrolled in an advanced degree program at the time of application. Additional qualifications:
Advanced degree. Candidates must already be authorized to work in the United States. Preferred qualifications:
A Ph.D. or equivalent international degree in computer science, statistics, information, applied mathematics, engineering, or the social sciences is preferred. Application Requirements Curriculum Vitae - Your most recently updated C.V.
Cover Letter
Statement of Teaching
Statement on Contributions to Advancing Diversity, Equity, and Inclusion (Optional)
Reference requirements:
3-4 required (contact information only) Apply link: https://aprecruit.berkeley.edu/JPF04278 Help contact:
cdss_ap@berkeley.edu Job location:
Berkeley, CA
#J-18808-Ljbffr