Two PhD positions and one postdoc position in computer science are available at the Center for Data-Intensive Systems (Daisy), Department of Computer Science, Aalborg University (AAU), Denmark. The appointment on these positions will start on 1 January 2019 or soon thereafter. The positions are associated to the research project Data Management for Indoor LBS funded by Independent Research Fund Denmark. The overall objective of this project is to establish general data management foundations and design novel data related technologies for indoor LBS applications. Each recruited person is expected to conduct research on one of the following topics: - Data modeling for indoor LBS - Queries for indoor LBS - Refinement and analytics of indoor location uncertainty Requirements for the PhD positions: * A master degree in computer science or a closely related field * Strong programming skill * Good communication skill and team spirit Requirements for the postdoc position: * A PhD degree in computer science * Publications at top outlets as a major author * Strong programming skill (smartphone programming is an advantage) * Background on database, data mining or machine learning is an advantage * Good communication skill and team spirit A PhD position at AAU lasts for 36 months, including a 6-month overseas research stay fully funded by the university. The postdoc position is initially available for 12 months, with the possibility of extension after mutual agreement. The database research faculty in Daisy (http://daisy.aau.dk) primarily conduct research on topics such as data-intensive systems and platforms, spatio-temporal data management, data mining and analytics, as well as applications of machine learning related to these topics. According to multiple international evaluations, the research performance places Daisy among the world leaders in its core areas. The department (http://www.cs.aau.dk) offers office and computing facilities, secretarial support, and support for conference travel. The area of Aalborg features relatively low cost of living, clean air, beautiful forests and beaches, and very good transportation infrastructure. For further information about the advertised positions, please contact Associate Professor Hua Lu (firstname.lastname@example.org).