December 1, 2023
Full-time Postdoctoral Fellow position available fall 2024 for a period of two years
Stanford Institute for Human-Centered Artificial Intelligence (HAI)
Stanford Digital Economy Lab
Rolling, with a closing date of February 15, 2024. Strong preference will be given to early applicants.
Postdoctoral Fellow –
Human-AI Interaction Systems & Civil Discourse
We seek a Postdoctoral Fellow to join our project on developing human-AI interaction systems to support deliberate practice for socially important topics.
The team aims to use large language models to understand contentious topics and to support civil discourse engagement through human-AI collaboration. It has the potential to promote informed and productive discussions between individuals as well as the development of scientific innovations in LLM-based applications.
The primary focus will be AI and digital platform functions/ structures. In particular, the flow of information and social connections via increasingly ubiquitous digital media channels is critical to the well-being of society, the health of democracy, and the pace of progress. Social and technical systems that amplify the spread of truth, insight, and cooperation will advance these goals, while those that amplify misinformation, confusion, exploitation, and polarization will damage them.
By employing an experimental and iterative approach, this postdoctoral fellow will help us to explore and test new tools, strategies, privacy paradigms, business models, and social media content moderation systems, with a particular focus on LLMs.
This position offers a unique opportunity to contribute to research in the interaction of natural language processing and social computing. The postdoctoral fellow will be co-supervised by Professor Alex ‘Sandy’ Pentland from MIT Media Lab, Professor Diyi Yang from Stanford NLP Group, and Professor Erik Brynjolfsson from the Stanford Digital Economy Lab at Stanford HAI.
Qualifications for this position include a PhD in computer science, artificial intelligence, natural language processing, human-computer interaction, or a closely related field. Candidates should have demonstrated expertise in large language models (LLMs), machine learning, and conducting user studies, as well as strong interdisciplinary teamwork skills and communication skills.
$82,000-$85,000 annually for a period of two years
Rolling, with a closing date of February 15, 2023. Strong preference will be given to early applicants.
To apply, please complete the application form.
About the Stanford Digital Economy Lab
We bring together an interdisciplinary group of passionate researchers to study how digital technologies are transforming work, organizations, and the economy. Our insights are helping companies, policymakers, students, and professionals rise to the challenges and opportunities created by digitization.
The Lab is part of the Stanford Institute for Human-Centered Artificial Intelligence (HAI) and co-sponsored by the Stanford Institute for Economic Policy Research (SIEPR).
About the Stanford NLP Group
Stanford NLP Group focuses on basic scientific research on computational linguistics, machine learning, practical applications of human language technology, and interdisciplinary work in computational social science and cognitive science. The Stanford NLP Group is part of the Stanford AI Lab (SAIL), and also has close associations with the Stanford Institute for Human-Centered Artificial Intelligence (HAI), the Center for Research on Foundation Models, Stanford Data Science, and CSLI.
The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.
Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.