The Faculty of Information Technology, Mathematics and Electrical Engineering at the Norwegian University of Science and Technology (NTNU) has a vacancy for one PhD candidate position at the Department of Computer and Information Science .
The appointment is for a term of 4 years, with duties equivalent to 25 %, or 3 years without duties. Duty work, if relevant for a candidate, will primarily be related to support of education tasks. This is a researcher training position aimed at providing promising future researchers the opportunity of academic development in the form of a doctoral degree.
Information about the department
Currently there are 24 professors and 14 associate professors at the department. In addition there are 16 adjunct associate professors, 23 postdoctoral researchers, approx. 65 active PhD students, and 18 technical/administrative staff. Five of the tenured scientific positions are held by women, and eight are from other countries than Norway. Research activities are organized into groups and strategic European and National projects. You can find more information via original link . The PhD candidate will be affiliated with the Data and Information Management Group. Further information can be found at the department’s and the group’s web pages.
The PhD candidate will be a member of the MUSED project team. In MUSED, we will focus on developing methods necessary for effective and efficient detection and prediction of events from multiple and possibly heterogeneous streaming data sources. In particular, the PhD candidate will develop new well-performing, computationally efficient, and scalable approaches for searching and mining streaming data, and will work within at least one of the following topics:
- Advanced search techniques for streaming data
- Extraction and exploration of spatio-temporal information
- Mining techniques for fast-evolving data
The position is in code 1017 Stipendiat, will normally be placed at salary level 50-62 in the Norwegian State salary scale, and typically in salary level 50-57, gross NOK 435 100 – 488 900 per year, depending on qualifications. A deduction of 2 % is made as a statutory contribution to the Norwegian Public Service Pension Fund.
We can offer
an informal and friendly workplace with dedicated colleagues
attractive schemes for housing loan, insurance and pensions in the Norwegian Public Service Pension Fund
The Faculty of Information Technology, Mathematics and Electrical Engineering wants to attract outstanding and creative candidates who can contribute to our ongoing research activities. We believe that diversity is important to achieve a good, inclusive working environment. We encourage all qualified candidates to apply, regardless of the gender, disability or cultural background.
The appointment is subject to the conditions in effect at any time for employees in the public sector.
As far as possible, the State workforce should reflect the diversity of the population. Goals of our personnel policy therefore include a balanced distribution in terms of age and gender as well as recruitment of people of immigrant background.
Under Section 25 of the Freedom of Information Act, information about the applicant may be made public even if the applicant has requested not to have his or her name entered on the list of applicants. The application must contain:
Curriculum vitae (CV) with information about the candidate’s prior training, exams, and work experience
Certified copies of transcripts and diplomas
Applicants from universities outside Norway are kindly requested to send a diploma supplement or a similar document, which describes in detail the study and grading system and the rights for further studies associated with the obtained degree
A Statement of Purpose (including a short presentation of the motivation for a PhD study and how the applicant sees his/her background suitable, and the applicant’s view of research challenges within the area of the PhD position and one of the topics listed above, and how the competence of the applicant can contribute to solving these challenges) (2 pages)
At least 2 reference persons
A copy of the master thesis (in PDF), or, for those who are near to completion of their MSc, an extended abstract combined with a statement of how and when the applicant plans to complete the thesis (1 page)
Incomplete applications will not be taken into consideration.
The application must be sent electronically as one combined PDF file via this page.
For more information click "Further official information" below.