Job Details

Lecturer - Data Science - School Of Information

The School Of Information At The University Of California, Berkeley, Invites Applications For A Pool Of Part-Time, Non-Tenure Track Lecturers To Teach Online Courses In The Master Of Information And Data Science (Mids) Program. We Seek Exceptional Instructors With Professional And/Or Academic Expertise Who Can Lead Small, Highly Interactive Sections Of Around 15 Graduate Students In This Innovative, Online Program.

Courses In The Mids Program Are Pre-Designed And Structured, Allowing Instructors To Focus On Delivering Dynamic And Engaging Learning Experiences While Providing Valuable Expertise To Enhance Student Outcomes. Screening Of Applicants Is Ongoing And Will Continue As The Needs Of The Program Evolve. The Number Of Available Positions May Vary By Semester Based On The School's Requirements.

Applicants Must Be Based In The United States To Be Eligible For This Position. No Funding Is Available For Visa Sponsorship Or Relocation Expenses Due To Budget Constraints.

Responsibilities Include:

Delivering Engaging Online Classes: Plan And Lead Synchronous Online Sessions Focusing On Active Learning. Facilitate Meaningful Discussions, Collaborative Group Activities, And Practical Exercises That Enhance Students' Understanding And Application Of Core Concepts.

Facilitating Student-Centered Learning: Provide Personalized Support To Students By Holding Virtual Office Hours, Moderating Online Discussions, And Leveraging Student Analytics To Identify And Support Individual Learning Needs.

Designing And Refining Course Materials: Develop And Update Instructional Materials, Assignments, And Assessments. Ensure All Content Aligns With Program Objectives, Maintains Academic Rigor, And Incorporates An Inclusive And Equitable Learning Environment.

Providing Constructive Feedback: Deliver Timely, Actionable Feedback On Student Assignments And Projects To Promote Growth And Mastery Of Key Competencies.

Maintaining Course Operations: Use The Learning Management System (Lms) And Other Educational Technology Tools To Manage Course Websites, Post Assignments, And Communicate With Students Effectively.

Collaborating With Faculty Teams: Actively Participate In Course Meetings To Align Instructional Practices, Address Challenges, And Share Innovative Teaching Strategies. Attend Monthly Or Bi-Monthly Faculty Meetings To Stay Connected With Program Goals, Initiatives, And Effective Online Teaching Pedagogy.

Promoting Inclusion: Foster An Inclusive, Equitable Learning Environment That Respects Diverse Perspectives And Supports All Students In Achieving Their Academic And Professional Goals.

The Use Of A Lecturer Pool Does Not Guarantee That An Open Position Exists. See The Review Date In Ap Recruit To Learn Whether The School Is Reviewing Applications For A Specific Position. If No Future Review Date Is Specified, Your Application May Not Be Considered At This Time.

Uc Berkeley Has Several Policies And Programs To Support All Employees As They Balance Work And Family.

Qualifications

Basic Qualifications (Required At Time Of Application):

A Bachelor's Degree (Or Equivalent International Degree).

Additional Qualifications (Required At Time Of Start):

Minimum 4 Years Professional Experience In The Relevant Field.

Minimum 2 Years Experience In Teaching In Higher Education Or Professional Development In Relevant Fields. Professional Development Instructional Activities Would Include Leading Workshops, Executive Education, Corporate Training, Or Industry-Recognized Certification Programs.

Preferred Qualifications:

An Advanced Degree In Data Science, Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, Economics Or Related Field.

10 + Years Of Professional Experience In Fields Such As Data Science, Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, Economics Or Related Field.

Multiple Years Of Demonstrated Excellence In Teaching College-Level Courses, Including Experience With Online Instruction.

Familiarity With And Use Of Collaborative Learning Techniques And Student-Centered Methods Of Instruction.

Proven Organizational Skills And Ability To Complete Assignments Timely And Accurately With Minimal Supervision.

Possess Excellent Communication Skills, Both Oral And Written, And The Ability To Communicate Effectively With Students With A Wide Range Of Skills.

Possess Excellent Interpersonal, Customer Service, And Problem-Solving Skills. Ability To Work Well With Students, Faculty, And Staff. Demonstrated Strength Or Potential In Teaching At The College Level.

Demonstrated Ability To Support The Academic, Professional, And Personal Development Of A Diverse Community Through Inclusive Curriculum, Classroom Environment, And Pedagogy In A Multidisciplinary Environment.

Teaching Or In-Depth Knowledge And Experience In At Least One Of The Following Core Areas (Please See Course Descriptions):

• Applied Cloud Computing For Data Science
• Applied Machine Learning
• Applied Statistics(R)
• Capstone Projects - Real World Projects And Industry Collaboration
• Computer Vision
• Data Visualization And Communication
• Deep Learning And Neural Networks
• Edge And Iot Data Science
• Experiments And Causal Inference
• Fundamentals Of Data Engineering
• Generative Ai
• Introduction To Data Science Programming (Python)
• Leadership In Data-Driven Transformation
• Machine Learning At Scale
• Machine Learning Systems Engineering
• Natural Language Processing With Deep Learning
• Privacy, Security, And Ethics In Data Science
• Regression And Time Series Analysis
• Research Design And Data Analysis
• Scalable Data Mining And Analysis
• Statistical Methods For Discrete Response, Time Series, & Panel Data
• Special Topics Such As: Ai For Sustainability, Autonomous Systems And Robotics Data, Human-Centered Data Science, Spatial Data Science, Time-Series Analysis And Forecasting

Application Requirements

Document Requirements:

• Curriculum Vitae - Your Most Recently Updated C.V.
• Cover Letter
• Statement Of Teaching Interests/Experience/Approach - Applicants Must Submit A Brief Statement Outlining Their Teaching Philosophy, Experience, And Methods. This Can Include, For Example, Fostering Student Success, Connecting Theory To Practice, Contributions To Advancing An Inclusive Learning Environment For All Students, Facilitating Student-Centered Learning, Or Practical Exercises That Enhance Students' Understanding And Application Of Core Concepts. The Statement Should Clearly Describe The Format, Audience, And Scope Of Teaching Or Professional Development Experience.
• The Statement Should Highlight Areas Of Expertise, And Any Experience With Online Or Technology-Enhanced Teaching.
• Please Indicate Which Class(Es) You Believe You Are Qualified To Teach.
• Teaching Evaluations, If Available (Optional)

Reference Requirements:

• 3 Required (Contact Information Only)

About Uc Berkeley

Uc Berkeley Is Committed To Diversity, Equity, Inclusion, And Belonging In Our Public Mission Of Research, Teaching, And Service, Consistent With Uc Regents Policy 4400 And University Of California Academic Personnel Policy (Apm 210 1-D). These Values Are Embedded In Our Principles Of Community, Which Reflect Our Passion For Critical Inquiry, Debate, Discovery And Innovation, And Our Deep Commitment To Contributing To A Better World. Every Member Of The Uc Berkeley Community Has A Role In Sustaining A Safe, Caring And Humane Environment In Which These Values Can Thrive.

The University Of California, Berkeley Is An Equal Opportunity 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 More Information, Please Refer To The University Of California's Affirmative Action And Nondiscrimination In Employment Policy And The University Of California's Anti-Discrimination Policy.

In Searches When Letters Of Reference Are Required All Letters Will Be Treated As Confidential Per University Of California Policy And California State Law. 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 Prior To Submitting Their Letter.

As A University Employee, You Will Be Required To Comply With All Applicable University Policies And/Or Collective Bargaining Agreements, As May Be Amended From Time To Time. Federal, State, Or Local Government Directives May Impose Additional Requirements.

As A Condition Of Employment, The Finalist Will Be Required To Disclose If They Are Subject To Any Final Administrative Or Judicial Decisions Within The Last Seven Years Determining That They Committed Any Misconduct.

• "Misconduct" Means Any Violation Of The Policies Or Laws Governing Conduct At The Applicant's Previous Place Of Employment, Including, But Not Limited To, Violations Of Policies Or Laws Prohibiting Sexual Harassment, Sexual Assault