Data is a key asset in modern society, and the European Joint Doctorate in Data Engineering for Data Science (DEDS) is designed to develop education, research, and innovation at the intersection of Data Engineering and Data Science.
The DEDS programme aims to carry out foundational research within the Big Data value chain to develop new technologies that improve data management efficiency and Data Science.
The 3-year doctoral programme aimed at early-stage researchers (ESR) is based on a co-tutelle model and organised by the Department of Computer Science, Aalborg University (Denmark) together with the Athena Research and Innovation Centre (Greece), Université Libre de Bruxelles (Belgium) and Universitat Politècnica de Catalunya (Spain).
As part of the programme, each ESR will obtain a joint doctorate degree from two partner universities (home and host) and is therefore enrolled in the PhD programmes at both universities for the entire period of 3 years. An ESR spends two years at the home university and one year at the host university.
The following ESR positions are available with AAU as the home university (2 years, employed at AAU all 3 years) for candidates, who have not resided or carried out work or studies in Denmark for more than 12 months in the 3 years immediately before the recruitment date.
- ESR 1.3: Privacy-aware data integration
- ESR 2.3: Model-based storage for time series
- ESR 3.1: Spatio-temporal data integration & analysis
- ESR 4.3: A platform for prescriptive analytics
An ESR works on an individual research project with a supervisory team consisting of at least two academic supervisors from home and host universities, complemented by one secondment supervisor from a partner organisation.
DEDS operates under the Horizon 2020 - Marie Skłodowska-Curie Innovative Training Networks (H2020-MSCA-ITN-2020) framework.