Junior Research Assistant/Computing Intern - Dietrich College

The Dietrich College is seeking an entry-level research support focusing on AI and LLM technologies for educational tools, suitable for individuals beginning their academic and professional journey in technology and education. This position will contribute to foundational research efforts that explore the potential of AI and LLM in education, gaining valuable experience and knowledge in a cutting-edge field from the ground up.

Core responsibilities include:

• Assist in basic research tasks under the mentorship of senior researchers, including data collection and preliminary analysis related to AI/LLM technologies in education.
• Conduct simple literature reviews to support ongoing projects, compiling summaries and key findings with supervision.
• Help in coordinating, organizing and maintaining research documentation, such as data files, references, and progress reports.
• Participate in team meetings and discussions, taking notes and learning from the research process and outcomes.
• Support the research team with administrative tasks related to project management and execution as needed.
• Begin to learn and apply basic programming and data analysis concepts with mentorship from team members.
   

Flexibility, excellence, and passion are vital qualities within the Dietrich College. Inclusion, collaboration and cultural sensitivity are valued competencies at CMU. Therefore, we are in search of a team member who is able to effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work.

You should demonstrate:

• Strong organizational skills and the ability to follow instructions and work in a team environment.
• Curiosity and a proactive attitude toward learning and contributing to research projects.
• Good communication skills, comfortable with asking questions and sharing ideas.

        

Qualifications:

• Currently enrolled in a high school or early college program with an interest in Computer Science, Education, AI, or related fields.
• A keen interest in technology and education, with a willingness to learn about AI/LLM applications.
• Basic computer skills and eagerness to learn programming languages and data analysis tools relevant to research.
   

Additional Information:

• Schedule: This is a full-time position, expected to work 37.5 hours per week.
• Fixed-Term: This is a fixed term position, expected to last through August 2024.

Joining the CMU team opens the door to an array of exceptional benefits available to eligible employees.  Those employees who are benefits eligible have the opportunity to experience the full spectrum of advantages from comprehensive medical, prescription, dental, and vision insurance to an enticing retirement savings program offering a generous employer contribution. You can also unlock your potential with tuition benefits and take well-deserved breaks with ample paid time off and observed holidays. Finally, rest easy knowing you are covered by life and accidental death and disability insurance.  Other perks include a free Pittsburgh Regional Transit bus pass, our Family Concierge Team to help navigate childcare needs, fitness center access, and so much more!  For a comprehensive overview of the benefits that may be awaiting you, explore our Benefits page.

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond just credentials, we consider the role and responsibilities, your invaluable work experience, and the knowledge gained through education and training. We acknowledge and appreciate your unique skills and the diverse perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.
 

Are you interested in an exciting opportunity with an exceptional organization?! Apply today!

Location

Pittsburgh, PA

Job Function

Non-CMU Students

Position Type

Intern (Fixed Term)

Full Time/Part time

Full time

Pay Basis

Hourly

More Information: