The Algorithms and Complexity Group at TU Wien (http://www.ac.tuwien.ac.at) invites applications for two open positions (one postdoc, one PhD student) in the FWF project "Human-Centered Algorithm Engineering: Graph and Map Visualization". The project is funded by the Austrian Science Fund (FWF) and deals with algorithmic problems in graph visualization and cartography that tightly integrate human expertise into the algorithmic optimization process. It combines aspects of algorithm engineering, information visualization, and human-computer interaction. The intended starting date of both positions is September 1, 2018 (with some flexibility). Applicants for the _postdoc position_ should have a doctoral degree in computer science (or a related field) with a focus on visualization algorithms, visual analytics, human-computer interaction, or some other project-related area, as proven by the publication track record. A strong research interest in combining algorithmic techniques and human interaction in theory and practice is necessary. Applicants for the _PhD student position_ should have an excellent Master degree (or equivalent) in computer science or a related subject with a focus on algorithmics or algorithm engineering, good programming skills and a strong research interest in human-in-the-loop visualization algorithms, computational cartography, or graph drawing. We offer a stimulating and collaborative working environment in a successful international research group on algorithms and complexity at TU Wien, one of the top-ranking universities in computer science in Europe. In 2018, Vienna has been awarded as the world's city with the highest quality of living for the ninth year in a row. We start screening the applications on June 1, 2018. To express your interest, please send at least a short email with your CV by that date. See the full job advertisement for more detail: PhD position: http://bit.ly/2rho5ka Postdoc position: http://bit.ly/2FBGeUb For further information about the project and the positions, contact the PI of the project, Prof. Martin Nöllenburg <noellenburg@ac.tuwien.ac.at>.