The Hasson Lab at the Princeton Neuroscience Institute is seeking to hire a postdoctoral or more senior researcher at the intersection of machine learning and cognitive science. Positions are for one year anticipated to start in the Fall of 2021 with the possibility of renewal contingent upon satisfactory performance and continued funding.
The candidate will join a multi-disciplinary team, who is engaged in creating a big data base of audio and video recordings of family life. They will develop and demonstrate tools and methodologies for automatic speech transcription and video annotation as well as apply and develop machine learning algorithms to model child development. Applications from members of groups historically under-represented in Neurosciences are encouraged.
Essential Qualifications: PhD in computer science, computational linguistics, or related field is required. Preferred Qualifications: *Experience analyzing linguistic corpora and using computational modeling approaches (e.g., neural networks, distributional modeling in vector spaces, probabilistic approaches) and implementation tools (e.g., TensorFlow) to investigate phenomena in language and cognition are required. *Record of publishing in the field of NLP/Computational linguistics and/or Cognitive Science is a plus *Experience and/or coursework in neuroscience, developmental psychology, data science and/or related fields is highly desirable. *Experience conducting experimental research with human participants (especially children) is desirable.
Interested applicants must apply at https://www.princeton.edu/acad-positions/position/21383 and include a cover letter, a curriculum vitae including a publication list, research statement, and contact information for two references.
Princeton University is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. These positions are subject to the University’s background check policy.