PhD candidate in big data management and science

Faculty of Science – Informatics Institute

Publicatiedatum
13 november 2017
Opleidingsniveau
Universitair
Salarisindicatie
€2,222 to €2,840 gross per month
Sluitingsdatum
1 januari 2018
Functieomvang
38 hours per week
Vacaturenummer
17-566

The University of Amsterdam (UvA) is the largest university in the Netherlands and a core member of the League of European Research Universities (LERU). Embedded within the Faculty of Science at UvA are several e-Science development and application groups, which benefit from its central position in Science Park Amsterdam. The System and Network Engineering (SNE) research group in the Faculty of Science is chaired by prof. Cees de Laat. The research of the SNE group covers such topics as optical and switched networking, workflows for processing Big Data for peta-scale e-Science applications, the use of the Semantic Web to describe e-infrastructure, information complexity, authorisation architectures and systems security and privacy of information in distributed environments.

The SNE research group has an open PhD position in computer science.

Project description

We are looking for a PhD candidate who wishes to develop expertise in big data and cloud computing. We are interested in new approaches and techniques for building infrastructure-aware big data computing systems in Cloud, making use of advances in data management, big data analytics, machine learning, knowledge discovery, and optimization techniques that can support efficient data analysis and processing across multiple heterogeneous infrastructures. We are particularly interested in approaches that make use of formal reasoning based on semantic annotations that allow such systems to self-adapt based on user/infrastructure requirements. The use cases driving the research will be drawn from a number of current EU H2020 projects.

Requirements

The candidate should be experienced in programming (using Java, Python or other languages), distributed systems, graph theory and/or semantic web technologies (e.g. regarding ontologies and semantic reasoning). The candidate should have Master of science degree in computer science and be fluent in English.

Further information

For more details, please contact:

Appointment

The appointment will be on a temporary basis for a period of 4 years (initial appointment will be for a period of 18 months and after satisfactory evaluations it can be extended to a total duration of 4 years) and should lead to a dissertation (PhD thesis). Periodic evaluations will be held after 9 and 14 months. An educational plan will be drafted that includes attendance of courses, summer and/or winter schools and (international) meetings. The PhD candidate is also expected to assist in teaching of undergraduates.

Based on a full-time appointment (38 hours per week) the gross monthly salary will range from €2,222 in the first year to €2,840 in the last year. The Collective Labour Agreement (CAO) for Dutch Universities is applicable.

English is the working language in the Informatics Institute. As in Amsterdam almost everybody speaks and understands English, candidates need not to be afraid of the language barrier.

Job application

Applications may only be submitted by electronic mail and should be sent to application-science@uva.nl. To process your application immediately, please quote vacancy number 17-566 and the position you are applying for in the subject-line.

Applications must include:

  • a curriculum vitae;
  • a motivation letter that explains why you have chosen to apply for this specific position;
  • a copy of your Master’s thesis, a complete record of Bachelor and Master courses (including grades) and
  • the names and contact information of two academic references (please do not include any recommendation letters. They will be contacted directly).

All these should be grouped in a single PDF attachment.

Applications will be accepted until 1 January 2018. The committee does not guarantee that late or incomplete applications will be considered. #LI-DNP

No agencies please

Gepubliceerd door  Universiteit van Amsterdam