Thursday, 27 August 2015

PhD Research Fellow in Logic and Intelligent Data at Univ. of Oslo

Deadline: 13 September 2015
Open to: applicants with MA or an equivalent in informatics
Fellowship: NOK 430 500– 459 700, (approximately EUR 47,261 – 50,466) per annum
University of Oslo is inviting applications for PhD research fellowship in logic and intelligent data. The Faculty of Mathematics and Natural Sciences has a strategic ambition of being a leading research faculty. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials.
The candidate’s work will be within the space spanned by applied logic, semantic technologies, data integration, and human-computer interaction, with applications in the oil & gas sector. The candidate will be affiliated with the Optique project and the SIRIUS Center for Scalable Data Access in the Oil & Gas Domain. He or she will be part of an international team of world-leading scientists working on bringing semantic methods for data access into real-world industrial applications.
Applicants must fulfills following conditions for PhD Research Fellowship:
Applicants must hold a Master’s degree or equivalent in informatics;
The purpose of the Fellowship is research training leading to the successful completion of a PhD degree;
The Fellowship requires admission to the PhD Programme at the Faculty of Mathematics and Natural Sciences. The application to the PhD Programme must be submitted to the department no later than two months after taking up the position (see more).
The position is remunerated by salary of the level 50 – 54, NOK 430,500 – 459,700, (approximately EUR 47,261 – 50,466) depending on qualifications.
The deadline for applications is 13 September 2015. Applicants must submit the following attachments with the online application:
Application letter;
CV (summarizing education, positions and academic work – scientific publications);
Copies of educational certificates, transcript of records and letters of recommendation;
Documentation of English proficiency;
List of publications and academic work that the applicant wishes to be considered by the evaluation committee;
Names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number).
For more information please visit the official website.

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