Jobs, Fellowships, Events & Announcements
Job Description
The Graduate School is seeking a highly motivated and skilled Graduate Assistant to join our team, focusing on data cleaning, analysis, and visualization across a variety of data projects. This position will play a crucial role in supporting the Graduate School's efforts to make data-driven decisions and to communicate complex data in an accessible way to a broad audience. Projects will include but are not limited to analysis of funding, career outcomes, and admissions data.
Key Responsibilities
Data Cleaning and Preparation: Clean and prepare large datasets for analysis. Identify and correct errors or inconsistencies, deal with missing values, and ensure data integrity.
Data Analysis: Perform statistical analyses to uncover trends, correlations, and patterns in data related to graduate funding, career outcomes, admissions, and other relevant areas. Preferred: ability to use advanced statistical techniques and models to predict trends and outcomes.
Data Visualization: Create compelling and informative visualizations of data findings for both technical and non-technical audiences utilizing tools such as Tableau to develop dashboards, graphs, and charts that effectively communicate complex data insights.
Collaboration: Work closely with The Graduate School recruiters, program coordinators, and other staff members to ensure data needs are met and findings are integrated into decision-making processes. Participate in meetings and provide data support as needed.
Data Governance and Ethics: Ensure all data management practices comply with university policies and ethical standards, including data privacy and security guidelines.
Project Management: Assist in the planning and execution of data-related projects. Ensure projects are completed on time and within scope, coordinating efforts across different departments when necessary.
Qualifications
- PhD student currently enrolled in a graduate program with a strong academic standing.
- Demonstrated experience with data cleaning, and analysis tools and techniques.
- Strong analytical skills with the ability to interpret complex data and translate findings into actionable insights.
- Excellent communication skills, both written and verbal, with the ability to present data in a clear and compelling manner.
- Ability to work independently and collaboratively in a fast-paced environment.
- Strong organizational skills and attention to detail.
- Preference for proficiency in statistical software (e.g., R, Python) and visualization tools (e.g., Tableau, Power BI).
Compensation
This position provides tuition, $20,000 stipend, and health insurance.
Application
Interested graduate students should send a copy of their resume to Angelina Sylvain, asylvain@mailbox.sc.edu.
Posted 5/9/2024
About
The Center for Teaching Excellence (CTE) provides professional development, pedagogical, and instructional design support for all who teach at USC. CTE seeks a part-time graduate student to provide instructional design support for the University’s transition from Blackboard Learn Original Course View to Blackboard Learn Ultra Course View (UCV). This is a 20 hour per week temporary hire position, $15/hr, from March 2024 – May 2025. No tuition assistance or benefits will be provided.
The Instructional Design Assistant will:
- Collaborate with the instructional design team and eLearning consultants (the Blackboard UCV transition team) to assist in the creation of resources for the UCV transition website.
- Contribute to the development of multimedia content, tutorials, and documentation to facilitate faculty understanding of UCV features.
- Support the UCV transition team in providing assistance to individual faculty members and groups during the UCV transition.
- Assist in conducting one-on-one consultation sessions (in person and virtual) with faculty members to address questions and concerns related to UCV.
- Attend Blackboard Days (training sessions) to provide on-site support and assistance to faculty during the open lab sessions.
- Assist with guidance and troubleshooting to ensure a smooth transition to UCV for Blackboard Day attendees.
- Assist in the organization and facilitation of professional development sessions on UCV.
- Assist in customizing training sessions based on faculty needs and levels of familiarity with the UCV platform.
- Attend UCV implementation team meetings and contribute insights from a student perspective.
- Collaborate with team members to provide support in instructional design aspects of the UCV implementation process.
Preferred Qualifications:
- Current enrollment in a graduate program related to Instructional Design, Educational Technology, or a similar field.
- Strong communication and interpersonal skills for effective collaboration.
- Familiarity with instructional design principles and an interest in educational technology.
- Basic understanding of Blackboard Learn Ultra Course View (UCV).
Apply
To apply, please submit the following information no later than February 28, via email to Aisha Haynes (haynesa@mailbox.sc.edu):
- Letter of Interest
- Résumé or Curriculum Vitae
- Names and contact information for two references
Applications will be reviewed on a rolling basis.
Questions and Contact Information
Aisha Haynes, EdD | Assistant Director
Center for Teaching Excellence | University of South Carolina
haynesa@mailbox.sc.edu
Posted 2/15/2024
About
University 101 is accepting applications for new instructors for fall 2024. Prospective instructors should submit the new instructor application, along with a cover letter and resume.
Requirements
- master's degree or higher from an accredited institution (official transcript required)
- status as a full-time university employee, retiree of USC Columbia, or Ph.D. student
- completion of the Teaching Experience Workshop
- approval by the instructor's supervisor or department chair
- approval by the director of University 101 Programs
- participate in regular professional development opportunities offered by University 101 Programs
Application Process
Visit the University 101 Programs web page for full application instructions.
About
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