Stillingstittel:
PhD Research Fellow in Data Science, two positions (Ref. 2016/4612)

Stillingsbeskrivelse:
The University of Oslo is Norway’s largest institution of research and education with 28 000 students and 7000 employees. Its broad range of academic disciplines and internationally esteemed research communities make UiO an important contributor to society.

There are two positions as PhD Research fellow available at the Department of Informatics.

The University of Oslo (UiO) is building up a research community in Data Science. To this end, we are looking to hire brilliant PhD students to be part of this new initiative, producing top research at the crossroad between statistics, machine learning, logic and computer science, with a specific focus on innovative uses of big data.

Every PhD student is employed at UiO for four years, with 25 % of the time dedicated to innovation related activities. Starting date for all positions is no later than 01.10.2016. No one can be appointed for more than one fixed-term period at UiO.

Data Science (at) UiO is fueled by internationally recognized data producing scientists at our university and anchored in the Departments of Mathematics and Department of Informatics. Two centers of excellence in research based innovation have recently been funded (each with about 3 million Euro annually and with more than 100 researchers):

Big Insight, a consortium of academic, industrial and public partners, develops statistical and machine learning methodologies and computational tools to extract knowledge from complex and big data sources, with focus on two central themes, namely novel personalized solutions and sharper predictions of transient behaviors.

Sirius, Centre for Scalable Data Access, is a consortium of academic and industrial partners, and develop new scalable methodology for information systems for accessing data in an efficient and robust computational environment.

Innovation will be central in all PhD projects. Candidates will develop new ideas and methodology motivated by challenges from our industrial partners. Support will be given by Inven2, the next-generation UiO innovation company, to build bridges between excellent research and the next generation of technology-based industry.

Project description

The purpose of the fellowships is research training leading to the successful completion of a PhD degree. The successful PhD candidates will develop new statistical, machine learning and mathematical methodology in the area of the projects listed below. The PhD programme at UiO is characterized by a strong research profile: the PhD thesis usually includes several papers which are published in leading scientific journals. Additionally, the candidates are required to take a small number of advanced courses as part of the training component of their degree.

The new PhD students, together with other PhD students, postdocs, researchers and staff in data science, are expected to contribute to building a unique scientific community at UiO, joining and organizing internal and open activities (including industrial days, reading groups, industrial internships, drop-in Data Science advising service for other researchers, junior student supervision, etc.).

The two research projects are briefly described below

Probabilistic Methods for Entity Resolution: In many large organizations, data is often split into multiple, separate, complex databases of different type and quality, often assembled in different periods and by different actors, using different identifiers for the same entities. We will tackle the problem of name resolution across databases by augmenting ontology and database reasoning techniques with predictive statistical models, in order to quantify object similarity probabilistically, and hence produce mappings and rules that resolve name conflicts.

Ontology-based data exploration: One of the challenges of big data

Minstelønn: 0

Maksimal lønn: 0

Arbeidsgiver Navn: Universitetet i Oslo, Department of Info

Arbeidsgiver adresse: 0313 OSLO

Job kort beskrivelse: University and higher education teachers

Land: Norge

Region: Oslo

Kilde til jobbtilbud: NAV, Offentlige arbeidsformidlinger, Norge

Lønn valuta: NOK

Lønn periode: Pr. år