The RoLi lab is a systems neuroscience and neuroengineering lab at the Rowland Institute at Harvard. We develop novel imaging systems to record and manipulate neural activity in freely swimming larval zebrafish. We aim to use these tools to gain a deeper understanding of the neural circuits that underlie complex and flexible behaviors such as spatial navigation, feeding, and associative learning. Our lab is particularly interested in the representation of reward and punishment in the vertebrate brain, the neural basis of reinforcement learning, and the mechanisms underlying state-dependent changes in behavior.
Our lab is highly multi-disciplinary, and we welcome candidates from a variety of backgrounds from systems neuroscience and behavior to engineering and physics. Our postdocs can choose to develop cutting edge technology for neural recording and manipulation, or to use the tools that we have developed to elucidate the principles underlying neural circuits and behavior.
We will be presenting our work at the nanosymposium on Optical Connectivity at the Society for Neuroscience meeting at Washington DC. For interested candidates who are attending SFN, we encourage you to drop by.
We are seeking a candidate with a PhD or MD/PhD degree in the fields of systems or behavioral neuroscience, biophysics, bioengineering, or related fields. Candidate must be highly motivated to perform innovative projects that aim to advance our understanding of large neural networks. The ideal candidate will have a publication record demonstrating talent in animal behavior, microscopy, and/or computational analysis of large scale datasets.
Familiarity with a programming language (e.g. Julia, MATLAB, Python, or C++) is required.
Harvard University is an Equal Opportunity and Affirmative Action Employer. Women and minorities are especially encouraged to apply.
The Rowland institute is an unique interdisciplinary research environment at Harvard. The Institute brings together exceptional scientists spanning a wide range of research interests, such as biomedical engineering, nanofabrication, and systems neuroscience. Collaboration across disciplines is highly encouraged to foster the development of innovative experimental methods and technologies.