id: NTcwMTE5MDMwMDAwMTQgMjYx

reference: 57011903000014

documentId: 57011903000014

connectionPointId: 261

Stillingstittel:
PhD Fellowship on Mining Streaming Data in the Financial Sector

Stillingsbeskrivelse:
Jobbnorge ID: 166205

This is NTNU

At NTNU, creating knowledge for a better world is the vision that unites our 7 000 employees and 40 000 students.

We are looking for dedicated employees to join us.

   

Video: https://www.youtube.com/watch?v=cIgKd1SwGLI

About the position

The Department of Computer Science has a vacancy for a PhD-position on mining streaming data, in a project funded by DNB (Norway's largest financial services group) and NTNU. The project focuses on research in Big Data analytics and machine learning in the financial sector.

The project effort involves technologies and architectures for dealing with large-scale real-time data processing, as well as the use of data mining and 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.

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 position reports to the head of department.

Job abstractJV_description

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, and 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. We aim at publishing the outcome of the research at the top venues in the areas of databases and data mining.

The main supervisor will be Prof. Kjetil Nørvåg, and the candidate is expected to also work together with other researchers in his group.  

Qualification requirements

 

PhD candidate:
The PhD-position's main objective is to qualify for work in research positions. The qualification requirement is completion of a master's degree or second degree (equivalent to 120 credits) with a strong academic background inComputer Science or equivalent education with a grade of B or better in terms of NTNU's grading scale. Applicants with no letter grades from previous studies must have an equally good academic foundation. Applicants who are unable to meet these criteria may be considered only if they can document that they are particularly suitable candidates for education leading to a PhD degree.

The appointment is to be made in accordance with the regulations in force concerning State Employees and Civil Servants and national guidelines for appointment as PhD, postdoctor and research assistant

Other qualification

• A solid knowledge of database systems, algorithms, or data mining is essential, as is a research-oriented master thesis within one of these areas.
• Good programming skills.
• Good written and oral English language skills

 

Personal characteristics

We are looking for a person who

. Works independently and in team.

. Has strong collaborative skills.

. Is motivated to contribute to a good working environment.

In the evaluation of which candidate is best qualified, emphasis will be placed on education, experience and personal suitability, in terms of the qualification requirements specified in the advertisement

We offer

• Exciting and stimulating tasks in a strong international academic environment
• Being part of a team of leading scientists within temporal and spatio-temporal data management
• An open and inclusive work environment with dedicated colleague
• Favourable terms in the Norwegian Public Service Pension Fund
• Employee benefits

Salary and conditions

PhD candidates are remunerated in code 1017, and are normally remunerated at gross from NOK 449 400 before tax per year. From the salary, 2 % is deducted as a contribution to the Norwegian Public Service Pension Fund.

The period of employment is 3 years (or 4 years with teaching duties). Appointment to a PhD position requires admission to the PhD programme in Computer Science ( https://www.ntnu.edu/ie/research/phd ). As a PhD candidate, you undertake to participate in an organized PhD programme during the employment period. A condition of appointment is that you are in fact qualified for admission to the PhD programme within three months.

Appointment takes place on the terms that apply to State employees at any time, and after the appointment you must assume that there may be changes in the area of work.

 

General information

Working at NTNU

A good work environment is characterized by diversity. We encourage qualified candidates to apply, regardless of their gender, functional capacity or cultural background. Under the Freedom of Information Act (offentleglova), information about the applicant may be made public even if the applicant has requested not to have their name entered on the list of applicants.

Questions about the position can be directed to Professor Kjetil Nørvåg, Email: noervaag (at) ntnu.no

About the application:

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 describes in detail the study and grading system and the rights for further studies associated with the obtained degree
• Statement of Purpose (max. 2 pages) including:
  • A short presentation of the motivation for a PhD study
  • How the applicant sees his/her background suitable
  • The applicant's view of research challenges within the area of the PhD position
• Names and contact information of 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 considered.

Publications and other academic works that the applicant would like to be considered in the evaluation must accompany the application. Joint works will be considered. If it is difficult to identify the individual applicant's contribution to joint works, the applicant must include a brief abstractJV_description of his or her contribution.

Please submit your application electronically via jobbnorge.no with your CV, diplomas and certificates. Applicants invited for interview must include certified copies of transcripts and reference letters. Please refer to the application number 2018/17288 when applying.

Application deadline: 29.03.2019

Se annonsen og søk på stillingen www.jobbnorge.no

numberOfPosts: 1

jobCategoriesCodes_0: http://data.europa.eu/esco/isco/C2310

abstractJV_contact_0: See jobabstractJV_description

positionTypeCode: temporary

contractTypeCodes_0: fulltime

Arbeidsgiver Navn:
NTNU - Norges teknisk-naturvitenskapelige universitet

source: NAV