Doctoral Student

Summary: Engage in a fully-funded (generous stipend) PhD program to study and develop computational models of learning and planning, and their disruption in mental health disorders. The lab has access to cutting-edge neuroimaging to test model predictions, in addition to development of classic and gamified cognitive tasks. See lab (sharplabbiu.github.io) and reach out with questions ([email protected]).

Responsibilities and objectives

• Learn in-depth knowledge of reinforcement learning computational models.
• Create and design novel cognitive tasks.
• Develop novel computational models of learning and planning.
• Publish high-impact scientific publications in computational cognitive science
• Present your work in international conferences

Qualifications

• Fluency in English
• Demonstration of interest in lab's primary topics
• Proficiency in mathematics
• Demonstrated coding experience