Post Doc Research Assistant

The College of Liberal Arts Research Academy (CLARA) at Purdue University invites applications for a full-time Postdoctoral Research Assistant position in AI, decision making, and risk.

About the role

• Join a vibrant community of faculty, staff, graduate and undergraduate students from social science and humanity programs in the College of Liberal Arts at Purdue and collaborate with faculty from communication, psychology, and engineering at Purdue and Rice University.
• This is an academic year position (9 months) with a start date of August 12. The appointment is for one year.

Responsibilities

• Contribute to interdisciplinary projects focusing on the application of AI in decision making and risk.
• Engage in research that investigates social scientific questions related to AI and human decision making/risk.
• Develop and apply AI techniques such as large language models and modeling of information processing and decision making.
• Collaborate with faculty and students from various disciplines to advance knowledge in this field.

Requirements

• Minimum Qualifications: PhD in social science (e.g., cognitive and decision science, psychology, communication, political science, sociology), or a technology-related field (e.g., computer science, industrial engineering) conferred by the expected start date.
• Substantial quantitative expertise in one or more of the following areas: human decision making; decision modeling; human-machine interaction; human perceptions of AI; large language models; data simulation; machine learning; software development.

Preferred Qualifications

• Excellent academic writing ability on quantitative topics.
• Familiarity with relevant software environments (e.g., R, Python, SPSS).
• Expertise in psychological research methods including experiments and modeling of cognitive processes involving AI.
• Substantive research interests related to AI and human decision making/risk.
• Experience in AI techniques such as large language models and modeling of information processing and decision making is desirable.

Qualifications

• PhD in social science (e.g., cognitive and decision science, psychology, communication, political science, sociology), or a technology-related field (e.g., computer science, industrial engineering) conferred by the expected start date.
• Substantial quantitative expertise in one or more of the following areas: human decision making; decision modeling; human-machine interaction; human perceptions of AI; large language models; data simulation; machine learning; software development.

Skills

• Excellent academic writing ability on quantitative topics.
• Familiarity with relevant software environments (e.g., R, Python, SPSS).
• Expertise in psychological research methods including experiments and modeling of cognitive processes involving AI.
• Substantive research interests related to AI and human decision making/risk.
• Experience in AI techniques such as large language models and modeling of information processing and decision making is desirable.

Benefits

• Exempt status under FLSA.

Pay

• Details not specified.

Schedule

• Academic year position (9 months) with a start date of August 12.