Post-Doctoral Fellow on Augmenting Human Creativity with AI-based Tools
 Carnegie Mellon University | |
 United States, Pennsylvania, Pittsburgh | |
| 5000 Forbes Avenue (Show on map) | |
 Sep 19, 2024 | |
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Carnegie Mellon University: School of Computer Science: HCII Location Pittsburgh, PA Open Date Aug 29, 2024 Description Working in collaboration with the Toyota Research Institute, we are developing new tools to augment designer and engineer creativity using analogical reasoning. The project explores the use of contemporary AI systems, such as large language models and text-to-image generators, to develop new interactive systems to help people find new ideas through sketching, brainstorming, and embedding space navigation. We are currently designing and testing new systems using realistic design tasks. For more information on our current work please see these two publications: Responsibilities: * Developing new analogical reasoning systems using contemporary AI (i.e. LLMs/VLMs/Diffusion models) * Designing and developing new interfaces for interacting with the creativity support tools * Designing and running experiments with realistic design tasks * Analyzing quantitative data on people's interaction with the creativity support tools * Analyzing qualitative data from people's opinions and thoughts on working with creativity support tools * Conceptualizing and drafting research papers for submission to high-quality HCI conferences and journals * Project documentation and effective communication with the team and the project sponsors * Oral presentation of research findings Location: 5000 Forbes Ave. Pittsburgh, PA 15213 Duration: 1 year (with possibility but no guarantee of extension) Qualifications * Ph.D. in Human-Computer Interaction, Computer Science, Engineering, Cognitive Science, Psychology, Design, or other related fields * Prior experience conducting human-subjects research studies * Strong software development skills, bonus for experience working with contemporary AI systems (LLMs, VLMs, Diffusion models) and front-end user interfaces * Experience with quantitative statistical analysis * Experience with qualitative analysis from user interviews * Prior publications of research studies * Strong written and verbal communication skills Application Instructions Please submit the following materials: * Curriculum vitae * 1-page cover letter describing experience related to the project, interest in the research area, and future career goals Contact Information: Nikolas Martelaro (nikmart@cmu.edu) | |