Three year Phd position - Environmental data science
A PhD position, funded by the Norwegian Research Council, is available in NIVA’s section for environmental data science. This section operates and develops NIVA’s central systems, tools and databases for environmental data. The main task of the section is to ensure and facilitate efficient and robust data flows for NIVA’s researchers and to ensure that NIVA stays competitive in an increasingly digital world.
Our PhD program is an important part of NIVA's ambitions in data science where we aim at developing new solutions, tools and methods in management and analytics of environmental data, and to encourage disruptive thinking within the organization. Advanced analytics on NIVA’s data is increasingly part of activities in Section for environmental data science. In addition to this the group is also developing new capabilities on automatic (soft) real time data capture and reporting and exploring technologies for large scale data analytics.
The team consists of ten skilled researchers and developers with a diverse background and the section works in close collaboration with researchers in all NIVA’s units and the IT department. The project will be jointly supervised by NIVA and the SIRIUS centre for research based innovation at the University of Oslo (UiO), Dept. of informatics.
SIRIUS, the Centre for Scalable Data Access, is one of the Norwegian centres of excellence for research-based innovation, funded by the Norwegian Research Council, UiO, NTNU, University of Oxford and 11 partners from industry including Statoil, IBM, Schlumberger, and others. SIRIUS aims at delivering world leading methods and technologies in data access through innovative research in semantic and language technologies and cloud computing software and hardware.
The successful candidate will work on advanced data and meta-data management with a focus on easy, integrated, consistent and quality assured access to disparate datasets from the different databases and disciplines within NIVA. Technically, the alignment of schemas and entities from different data sources, and the setup and maintenance of the solution will be of particular interest.
The results of this effort will be validated in the context of concrete analytics tasks at NIVA, possibly including statistics and machine learning on NIVA’s environmental data, large oceanographic models, biological models and climate models. This will happen in close collaboration with NIVA’s experts in the relevant fields.
The application should include a statement of research interests or a project outline for the PhD project, but it is expected that the successful candidate will ultimately define their project jointly with their supervisors during the first two months of the fellowship. The application letter should also discuss at least one research topic of interest to the candidate, including a brief reflection about the scientific issues involved and the possible choice of theory and method(s). This statement of research purpose should not exceed one page.
Applicants must hold a Master's degree or equivalent in a relevant field such as informatics, mathematics or physics. Documented knowledge, skills and experience in the following topics will be considered an advantage when candidates are ranked:
- Semantic technologies, ontology reasoning
- Database theory, in particular data integration
- Machine learning, statistics
- Software development/software engineering
- Environmental or applied sciences
A good command of the English language is mandatory.
The fellowship requires admission to the PhD programme at the Faculty of Mathematics and Natural Sciences, at the University of Oslo. Which imply that candidates must have an average grade for Master's-level courses not lower than a B, and the Master's dissertation must have grade B or higher.
Application deadline: 15/08/2017