The UNC Department of Computer Science is hiring.
Posted December 2018
The Department of Computer Science at the University of North Carolina at Chapel Hill invites applications for several tenure-track assistant professor positions in the department, to begin on or after July 1, 2019. Applicants should show evidence of exceptional research promise and teaching potential. This is a broad-area search for multiple positions with interests including, but not limited to, robotics, natural language processing, machine learning, computer graphics, virtual reality, augmented reality, visualization, systems, computational biology, and bioinformatics.
Posted November 2018
The Department of Computer Science at the University of North Carolina at Chapel Hill invites applications for the position of teaching faculty (rank to be determined) to begin in Fall 2019. This permanent position is for an initial term of one year and is renewable upon review. Multiple positions are available and the rank of the position will be commensurate with applicant’s experience. We seek applications from individuals with exceptional promise for, or a proven record of, teaching introductory programming in a diverse undergraduate university environment. This position has the responsibility to teach courses that serve as on-ramps for a Computer Science major, such as introductory scientific programming, rudiments of data science for non-computer science students in the natural sciences, CS1, CS2, and object-oriented programming using well-known design patterns.
Posted October 2018
The Computer Science Department of the University of North Carolina at Chapel Hill invites applications for the position of Postdoctoral Research Associate to begin in December 2018. The position is available in the UNC–NLP Lab, focused on Natural Language Processing (NLP) and Machine Learning (ML), led by Professor Mohit Bansal. The focus of this NLP+ML postdoc position will include, but is not limited, to multimodal+embodied semantics, human-like language generation and Q&A/dialogue, and interpretable and generalizable deep learning.