PhD Scholarship at the Department of Computer and Information Science within Querying Big Data

The Faculty of Information Technology, Mathematics and Electrical Engineering (http://www.ntnu.edu/ime) 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 (http://www.ntnu.edu/idi).

Information about the department

The Department of Computer and Information Science is the largest department in the Faculty of Information Technology, Mathematics and Electrical Engineering, with approx. 140 employees of which the scientific personnel are organized in 6 research groups. The PhD candidate will be affiliated with the Data and Information Management Group (http://www.ntnu.edu/idi/groups/dif). Further information can be found at the department’s and the group’s web pages.

Work description

The PhD candidate will be a member of the ExiBiDa project team (https://www.ntnu.edu/idi/exibida/).

In ExiBiDa, we will focus on exploratory analysis and querying contents in Big Data, and develop frameworks and scalable techniques for supporting such analytical queries. In particular, the PhD candidate will work with challenges related to efficient algorithms and index structures for processing Big Data.

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.

Qualifications

A master's degree in Computer and Information Science or equivalent with very good results is required, with an average grade B or better as measured in ECTS (European Credit Transfer System) grades, or an education at the equivalent level. A solid knowledge of database systems or algorithms is essential, and a research-oriented master thesis within one of these areas is expected. Good programming skills are required.

Applicants who do not master a Scandinavian language must provide evidence of good English language skills, written and spoken. The following tests can be used as such documentation: TOEFL, IELTS or Cambridge Certificate in Advanced English (CAE) or Cambridge Certificate of Proficiency in English (CPE). Minimum scores are:

• TOEFL: 600 (paper-based test), 92 (Internet-based test),

• IELTS: 6.5, with no section lower than 5.5 (only Academic IELTS test accepted),

• CAE/CPE: grade B or A.

In extraordinary circumstances, formal documentation of language skills can be relinquished. In such cases the candidate’s language skills will be assessed in a personal interview.

Formal regulation

Appointments are made in accordance with the regulations in force regarding terms of employment for PhD candidates issued by the Ministry of Education and Research, with relevant parts of the additional guidelines for appointment as a PhD candidate at NTNU. Applicants must undertake to participate in an organized PhD programme of study during their period of employment. The person who is appointed must comply with the conditions that apply at any time to employees in the public sector. In addition, a contract will be signed regarding the period of employment, including duty work if relevant.

Applicants must be qualified for admission as PhD students at NTNU. See

http://www.ntnu.edu/ime/research for information about PhD studies at IME, NTNU.

Salary conditions

The position is in code 1017 Stipendiat, salary grade range 50-62 in the Norwegian State salary scale, and normally in salary grade 50-57, gross NOK 430 200 – 483 400 per year, depending on qualifications. A deduction of 2 % is made as a statutory contribution to the Norwegian Public Service Pension Fund.

General

We can offer

• a professional research environment targeting scientific and technological challenges with dedicated colleagues

• attractive schemes for housing loan, insurance and pension 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.

For further information about the position, please contact Professor Kjetil Nørvåg, Email:noervaag@idi.ntnu.no.

For information about processing of applications, please contact Senior Executive Officer Anne Kristin Bratseth, Phone +47 73 59 67 15, Email: anne.kristin.bratseth@ime.ntnu.no

The appointment is subject to the conditions in effect at any time for employees in the public sector.

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

• 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 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.

This opportunity has expired. It was originally published here:

http://www.jobbnorge.no/ledige-stillinger/stilling/119279/phd-candidate-at-the-department-of-computer-and-information-science-within-querying-big-data