We have an opening for a postdoctoral fellow to join my lab in the Intramural Research Program of the National Institute of Mental Health at the NIH campus in Bethesda, MD. Research in the lab is focused on the computational neuroscience of reward prediction and learning. Broadly, we study how timing, inference processes and goal selection modulate learning in reward-guided tasks in animals and humans, and how these processes are supported by neural activity in the reward learning circuits of the brain. Our goal is to understand how reward learning is altered in compulsive behaviors, addiction, and motivational deficits in disorders of mental health. We are looking for a postdoc who will use approaches from dynamical systems theory, reinforcement learning and Bayesian inference to understand how goal-directed behaviors and learning are regulated in neural circuits. The ideal candidate thinks about reward prediction and learning as dynamic processes unfolding in time and across experience, is fluent in both the theoretical and empirical approaches used in systems, behavioral and cognitive neuroscience, and aims to link normative models of behavior to the dynamics of neural populations in the reward learning circuits of the brain. We are a computational group that works with a broad network of collaborating labs spanning rodent, NHP and human studies, and would suit a computational neuroscientist excited to work at the intersection of theory and experiment in an interdisciplinary research environment. An overview of research training at NIH can be found here: https://www.training.nih.gov/research-training/ Interested candidates should have strong quantitative and programming skills, fluency with dynamical systems theory (and ideally reinforcement learning and/or Bayesian inference), demonstrated familiarity with neuroscience and behavioral research, and a record of scientific contributions in an area relevant to research in the lab. Interested candidates should send a brief research statement (1-2 paragraphs) and a cv to Dr Angela Langdon (angela dot langdon at nih dot gov). Informal enquiries are welcome!