Roux Summer Research Internship - Sociotechnical Research on AI
About the Opportunity
Summer Research Internships at The Roux Institute
The Roux Institute Summer Research Internship Program is a 10-week full-time internship for graduate and undergraduate learners on-site at the Roux Institute campus of Northeastern University in Portland, ME.
- Stipend: $5,000 for Undergraduate Research Interns, $7,500 for Graduate Research Interns.
- Gain interdisciplinary research experience and mentoring from Roux Institute Researchers.
- Access professional development seminars on topics including networking, communication, entrepreneurial thinking, and more.
- Network with other Roux Institute researchers and partner organizations
- Explore the Greater Portland area and build community with other researchers in your cohort and entrepreneurs from our Founder Residency programs.
INTERNSHIP DURATION: June 3 – August 16, 2024
APPLICATIONS OPEN: December 15, 2024
APPLICATION DEADLINE: February 15, 2024
About The Roux Institute
The Roux Institute is designed as an engine of innovation, talent-building, and economic growth for Portland, Maine, and northern New England. We are nurturing an environment for high-impact research and innovation in computer and data science, digital engineering, the advanced life sciences and medicine, and other tech fields. Partnership is what sets our education and research model apart. With leading companies at the table from day one, we are creating an agile workforce prepared to thrive in a competitive landscape powered by artificial intelligence as a force for good, and an environment for innovation in the life sciences and other high- growth sectors. Together, we envision an innovation corridor that in the coming years will stretch from Boston to Portland and beyond.
Research Internship – Sociotechnical Research on AI
With more and more people incorporating AI technology into their lives and careers, it is critical to study the sociotechnical aspects of AI. Studying the human-AI collaboration based on people’s differences, such as their prior technical and domain familiarity, biases, and attitudes toward AI can help system developers design interaction and intervention techniques that help mitigate or augment people’s behaviors emerging from these differences.
The Human Data Interaction team at the Roux Institute is seeking a post-graduate (PhD preferred) summer intern to expand our ongoing research on collecting and profiling users’ differences and experiences to reshape the design of human-AI collaborative systems.
Working together with the intern, we will formalize and define the project scope and research questions before delving into the human-centered experiment design and conducting user studies. The intern may also acquire experience in working in interdisciplinary teams, particularly between ML/AI engineers and HCI researchers, and work on oral and written presentation skills to communicate their ideas to and beyond the team, especially to publish the work to the research community.
- Rapid, user-centered prototyping and design
- Formalizing hypotheses, as well as designing, implementing, and conducting user-centered experiments
- Participating in data analysis tasks; engaging in discussions on the analysis and formalizing the findings
- Regularly providing project updates throughout the summer and presenting the final project outcomes (oral and written) at the end of the internship.
- Leading the project and documenting discussions and decisions for transferable, reproducible research and to ensure the possibility for future continuation of the project.
- Graduate student researcher, preferably a Ph.D. intern, from fields of computer science, human-centered computing, social sciences, or related fields.
- Familiarity with human-centered research, such as qualitative or quantitative experiment design (required)
- Experience with programming, preferably in Python or R for data analysis
- Web-based programming skills, to be able to implement an online tool for conducting user studies or building design prototypes (preferred)
- Familiarity with and understanding of machine learning and AI concepts; technical familiarity is not required but can be beneficial (e.g., being able to implement or tune a model)
- Ability to work independently and collaboratively in interdisciplinary teams
- A CV and a 1-page cover letter detailing your research interests and qualifications for the position and stating why you are interested in this position and what you hope to gain from this program and learn from this project and the Human Data Interaction Team.
Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.
Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.
Northeastern University is an equal opportunity employer, seeking to recruit and support a broadly diverse community of faculty and staff. Northeastern values and celebrates diversity in all its forms and strives to foster an inclusive culture built on respect that affirms inter-group relations and builds cohesion.
All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.
To learn more about Northeastern University’s commitment and support of diversity and inclusion, please see www.northeastern.edu/diversity.