Pre-doctoral Researcher - Technical Associate (Eric So)

Description

Professor Eric So is seeking a highly skilled and motivated individual for a full-time Research Assistant position. A minimum one-year appointment with an option for a second-year appointment involves close collaboration on all stages of research, resource development, and program initiatives to support generative AI efforts in teaching, learning, and research.

We are seeking a dedicated Research Affiliate to support multiple generative AI research and teaching initiatives at MIT Sloan. This role is ideal for a candidate with a background in computer science, business analytics, economics, and/or finance who is interested in the applications of AI. The Research Assistant will work closely with faculty on AI-centric research and integrating generative AI into course materials, focusing on advanced data analysis and the use of AI tools in teaching and research. 

 

Responsibilities

• Collaborate closely with Professor Eric So and other faculty members on research projects.
• Support hands-on projects in generative AI applications.
• Contribute to the development of AI-enhanced course content.
• Aid in data analysis and visualization.
• Assist in the integration of generative AI into course materials and teaching methodologies.
• Participate in the development of resources and programs to support generative AI efforts in teaching and learning.

Qualifications

• Strong background and familiarity with various generative AI tools.
• Experience or strong interest in the application of AI.
• Proficiency in Python, data analysis, and visualization tools.
• Strong communication skills.
• Highly motivated and skilled in managing multiple tasks and projects.
• Experience working with social media.

 

Opportunities

This position offers a unique opportunity to apply business analytics skills in an innovative educational setting, develop research experience, and work closely with faculty to pioneer AI integration in teaching and research methodologies. The successful candidate will gain valuable experience in the intersection of AI, research, and education.

Application Instructions

Please submit the following:

1. A cover letter describing qualifications, relevant experience, and why you are interested
2. A curriculum vitae or resume–please include relevant coursework and grade
3. A writing sample from a class paper, thesis project, or academic publication

Optionally, you may also include:

1. A sample of presentation slides
2. Code you wrote to statistically analyze quantitative data (this could be from prior work, such as a thesis or an academic publication)

Letters of recommendation may be requested after an initial interview. Review of applications will begin immediately and continue until the position is filled.

Equal Employment Opportunity Statement

Massachusetts Institute of Technology is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin. MIT’s full policy on Nondiscrimination can be found here.

Background Check Policy
Employment is contingent upon the completion of a satisfactory background check, including possible verification of any findings of misconduct (or pending investigations) from prior employers.