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PhD FELLOWSHIP ON MINING STREAMING WEB DATA IN THE FINANCIAL SECTOR (IE 127-2018)
The Faculty of Information Technology and Electrical Engineering (http://www.ntnu.edu/ie) at the Norwegian University of Science and Technology (NTNU) has a vacancy for a PhD candidate position at the Department of Computer Science (http://www.ntnu.edu/idi).
The PhD 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
The Department of Computer Science (IDI, www.idi.ntnu.edu) employs around 30 professors, 53 associate/assistant professors, 21 adjunct professors, approximately 112 PhD students and post-doctoral/ researchers, and 24 technical/administrative staff.
Research activities are organized into groups and strategic European and National projects as documented here http://www.ntnu.edu/idi/research. One of the PhD candidates will be affiliated with the Data and Information Management Group (http://www.ntnu.edu/idi/groups/dart), whereas the other PhD candidate and the postdoc will be affiliated with the Information Systems and Software Engineering Group (https://www.ntnu.edu/idi/groups/isse). Further information can be found at the department’s and the group’s web pages.
As part of their strategic partnership, DNB and NTNU are funding 1 Postdoc and 3 PhD positions in a joint R&I project focusing on research in Big Data analytics and machine learning. With this project, the two parties will create an attractive environment for education, research and innovation, executed in close collaboration with the ongoing research and innovation efforts at the Telenor-NTNU AI-Lab.
By responding to this announcement, you may become part of Norway’s strongest research community within the field of Artificial Intelligence, Big Data analytics and IoT. The Project’s activities will demonstrate how these technologies can be applied to solve business challenges within the banking and finance sector in particular, as well as for society in general.
The project effort involves technologies and architectures for dealing with large-scale realtime data processing, as well as the use of machine learning to uncover hidden knowledge in data and build intelligent banking applications. The intention is that the Project will increase the general capacity and quality of Big Data & Artificial Intelligence education and research in Norway and encourage the use of this technology in the banking and finance sector.
In the financial sector, a wide range of data sources can be used both to understand customers, as well as the financial market in general. These data sources may contain both structured data (from typical financial services), as well as textual data (from communication with users or news media). Common for much of the interesting data, is that it is in the form of data streams that needs to be processed in real-time, in order for the results to be useful.
Almost all relevant data in the domain of financial data has either an implicit or explicit time dimension, or often also a geographical aspect. The successful PhD student will develop scalable techniques for effective information analysis on financial data streams, with emphasis on techniques for retrieval and mining of temporal and spatio-temporal information.
Relevant background: A solid knowledge of database systems, algorithms or information retrieval is essential, and a research-oriented master thesis within one of these or related areas are expected. Good programming skills are required.
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. Experience with international research projects and financial applications is preferable for all positions.
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 for PhD candidates
PhD 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.
The PhD positions are in code 1017 Stipendiat, salary grade range 50-62 in the Norwegian State salary scale, and typically in salary grade 50-57, gross NOK 436 900 – 490 900 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.
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. The PhD applicants must include a short presentation of the motivation for the position and how they see their background as suitable. They must address the research challenges within the area of the position and discuss how their competence 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 (Jobbnorge.no).
For further information about the PhD position on mining data streams, please contact Professor Kjetil Nørvåg, Email: email@example.com, or the Head of the Department Professor John Krogstie, email: firstname.lastname@example.org.
For information about the processing of the application, please contact Senior Executive Officer Anne Kristin Bratseth, phone +47 73 59 67 15, e- mail: email@example.com.
Mark the application IE 127-2018
Deadline for applications: 2018-09-15
- Søknadsfrist15. september 2018
- ArbeidsgiverNTNU - Norwegian University of Science and Technology
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