Norwegian University of Science and Technology, NTNU, Norway - Logo

Machine learning, PhD Vacancy in Railway track condition monitoring – Norway

Norwegian University of Science and Technology, NTNU

Norway

NTNU recruits PhD position exploring train and railway track health monitoring and predictive maintenance algorithms using measured data from a train in regular traffic at The Department of Civil and Environmental Engineering, Norway – Oct 2021.

Support us by Sharing!

ADVERTISEMENT
Scroll Down for Content

General Info

Position: PhD
No. of Positions: 1
Research Field: , ,
Deadline to Apply: Expired
Joining Date: -
Contract Period: 3 Years
Salary: According to Standard Norms

Workplace:
Green shift center
Department of Civil and Environmental Engineering
Norwegian University of Science and Technology, NTNU
Trondheim,

ADVERTISEMENT
Scroll Down for Content

Qualification Details

  • You must have a professionally relevant background in Machine learning and data science, railway/vehicle engineering,  or equivalent education
  • Your education must correspond to a five-year Norwegian degree programme, where 120 credits are obtained at master's level
  • You must have a strong academic background from your previous studies and an average grade from the master's degree program, or equivalent education, which is equal to B or better compared with NTNU's grading scale. If you do not have letter grades from previous studies, you must have an equally good academic basis. If you have a weaker grade background, you may be assessed if you can document that you are particularly suitable for a PhD education.
  • You must meet the requirements for admission to the faculty's doctoral program (https://www.ntnu.edu/iv/doctoral-programme)

The appointment is to be made in accordance with the regulations in force concerning State Employees and Civil Servants and Regulations concerning the degrees of Philosophiae Doctor (PhD) and Philosodophiae Doctor (PhD) in artistic research national guidelines for appointment as PhD, post doctor and research assistant  

Preferred selection criteria

  • Prior knowledge and experience (Master degree) in one or more of the following: railway engineering, structural engineering, geometric engineering, mechanical engineering, computer science, mathematical and statistical science, or other education based on quantitative methods
  • Experience in programming knowledge and experience
  • Experience in data analysis and experimental research
  • Enthusiasm for research, teamwork, capability of independent problem-solving, able to handle stressful working condition
  • Excellent written and oral English. Knowledge of Norwegian or Scandinavian language is appreciated

Personal characteristics

  • Highly capable to work both independently and a high level of personal responsibility
  • Ability to meet deadlines, punctual, and produce work of a consistently high standard
  • High motivation for research work
  • Well organized and positive attitude
  • Capable to point out problems and suggest solutions

Responsibilities/Job Description

  • Complete a training component as a part of the PhD of a minimum of 30 ECTS
  • Conduct scientific research relevant to the research topic above
  • Draft project documents, scientific papers under supervision
  • Contribute to teaching duty involving teaching, supervision of bachelor/master students and improvement of course teaching materials

How to Apply?

Online Application through "Apply Now" Button from this page or from advertisement webpage (URL below)

Reference Number: -IV-212/21
(If any, use it in the necessary place)

ADVERTISEMENT
Scroll Down for Content

Documents Required

The application must include:

  • CV, certificates, master thesis and diplomas
  • Transcripts and diplomas for bachelor's and master's degrees. If you have not completed the master's degree, you must submit a confirmation that the master's thesis has been submitted
  • Academic works - published or unpublished - that you would like to be considered in the assessment (up to 10 works)
  • Research plan (not more than 5 pages excluding references and appendix)
  • Name and contact information of three referees

About the Department

NTNU is working with the Norwegian Railway Directorate on challenging engineering projects for our future railway systems. This work considers the continuous monitoring and evaluation of the status of railway vehicles and infrastructures. Using a state-of-the-art measuring system, data from a passenger train in regular service will be recorded and analysed for multiple purposes. This work will focus on exploring data measured from railway track as an aid for development of algorithms that can provide information on the status of the railway infrastructure and the bogie with the help of only data recorded from train in regular traffic.

At present, vehicle and railway track condition is monitored either manually or via dedicated measurement car. These solutions have a disadvantage as the condition of the vehicle, and track will only make known infrequently. This makes both the vehicle and track vulnerable if issues happen in the interval of two measurements. Therefore, together with Norwegian Railway Directorate, a project is established focusing on measures taken from regular train in traffic.

The position is about point-wise measurements on railway track to collect data as an aid to find correlation of the data with data measured from train in regular traffic and for algorithms development and other purposes.  The scope of the position includes planning, site measurement, data collection, analysis and dissemination for at least 3 problematic areas over time e.g., switches and crossings, rail corrugation and track damages. The data collection will be executed by using Miniprof switches and crossings, 3D geometry scanner, laser doppler vibrometer, vision-based displacement measurement and corrugation analysis trolley. The position is one of the PhD positions related to the project “railway track and vehicle condition monitoring with train in regular traffic” and a part of green shift center.

You will report to Albert Lau (Associate Professor).

About the Employer: Norwegian University of Science and Technology, NTNU

Note or Other details

If you are invited for interview you must include certified copies of transcripts and reference letters. Please refer to the application number IV-212/21 when applying.

ADVERTISEMENT
Scroll Down for Content

Contact details

If you have any questions about the position, please contact Associate Professor Albert Lau, telephone: +47 94258319, email: albert.lau@ntnu.no. If you have any questions about the recruitment process, please contact Senior Executive Officer HR Hege Johansen, e-mail: hege.johansen@ntnu.no.

Advertisement Details: PhD candidate within railway track condition monitoring

Other Vacancies from this field ,

ADVERTISEMENT
Scroll Down for Content

Support us by Sharing!