PhD Positions vacancies in NTNU Norway

PhD Candidate within multisensor data fusion and applied machine learning for analysis of Arctic sea ice at NTNU, Norway, May 2022

Norway

PhD Candidate within multisensor data fusion and applied machine learning for analysis of Arctic sea ice with professionally relevant background in computer science and/or cybernetics, control engineering, remote sensing, data fusion is available at Department of Marine Technology at Norwegian University of Science and Technology, Norway, May 2022

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General Info

Position: PhD
No. of Positions: 1
Research Field: , , ,
Deadline to Apply: Expired
Joining Date: ASAP
Contract Period: 3 years
Salary: 491 200 NOK/Year

Workplace:
Department of Marine Technology

Norwegian University of Science and Technology (NTNU), Norway

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Qualification Details

  • You must have a professionally relevant background in computer science and/or cybernetics, control engineering, remote sensing, data fusion
  • 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 only if you can strongly document that you are particularly suitable for a PhD education
  • You must meet the requirements for admission to the faculty's doctoral program
  • Excellent English skills (written and oral). Applicants from non-English speaking countries outside Europe must present an official language test report. The acceptable tests are TOEFL, IELTS, and Cambridge Certificate in Advanced English (CAE) or Cambridge Certificate of Proficiency in English (CPE). Minimum scores are:
    • TOEFL: 600 / writing 4.5 (paper-based) or 92 / writing 22 (internet-based)
    • IELTS: 6.5, with no section lower than 5.5 (only Academic IELTS test accepted)
    • CAE/CPE: grade B or A

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

  • Knowledge and experience within Arctic marine environment, data science, sensor fusion, and/or remote sensing are very relevant and should be highlighted
  • Skills on implementation of algorithms in real software and hardware for data collection and development of a digital system, incl. computer programming skills (especially Python, C++)
  • Relevant research experience/publications are an advantage, especially within remote sensing and/or within machine learning image/video processing techniques

Personal characteristics

  • High self-motivation and high motivation for research and research topic
  • Scientific curiosity and open-minded attitude
  • Independent and systematic working style
  • Flexible, reliable, and result-oriented, with ability to work hard both independently and as part of a team
  • Excellent communication skills, good in collaborating with others in an interdisciplinary research environment

Responsibilities/Job Description

We have a vacancy for PhD Candidate within the DIGITALSEAICE project at the NTNU Department of Marine Technology. The project aims to build a multi-scale digital infrastructure that integrates local and regional sea ice models for improved forecasting and understanding of variations in polar ice conditions.

For a position as a PhD Candidate, the goal is a completed doctoral education up to an obtained doctoral degree.

You will report to Supervising Professors and Head of the Department.

Duties of the position

  • Develop methods for monitoring and analysis of Arctic sea ice dynamics from heterogeneous data
  • Provide analytics required by the local and regional models as required by the project partners
  • Take part in experimental campaigns and do hands-on work related to sensor instrumentation, data collection, and data management
  • The studies will build on methods within machine learning, image and signal processing, and relevant estimation theory

How to Apply?

Application Method: Online Application
Ref. No.: IV-103/22

Application Procedure

The application and supporting documentation to be used as the basis for the assessment must be in English or Norwegian.

Publications and other scientific work must follow the application. Please note that applications are only evaluated based on the information available on the application deadline. You should ensure that your application shows clearly how your skills and experience meet the criteria which are set out above.

The application must include:

  • A motivation letter (0.5-2 pages), indicating
    • (1)   Your motivation for a PhD study
    • (2)   How you envisage your contribution within the specified position
    • (3)   Why you are suited for the position
  • CV which includes information about education background and relevant experience
  • Certified copies of transcripts for Bachelor’s & Master’s degrees (in English or Norwegian). If you have not completed the master's degree, you must submit a confirmation that the master's thesis has been submitted. Candidates from universities outside Norway are expected to send a Diploma Supplement or similar documentation, which describes in detail the program of study, the grading system and the rights for further studies associated with the obtained degree. If you recently have submitted your master's thesis, you can attach a draft of the thesis. Documentation of a completed master's degree must be presented before taking up the position.
  • English language proficiency documentation (e.g., TOEFL, IELTS, etc.). This requirement is waived for applicants whose mother tongue is English, as well as for applicants from Scandinavian countries.
  • Relevant academic works - published or unpublished - that you would like to be considered in the assessment (up to 5 works). Joint works will be considered. If it is difficult to identify your contribution to joint works, you must attach a brief description of your participation.
  • Contact information for at least two references (including email addresses and telephone number)

Incomplete applications will not be considered.

If all, or parts, of your education has been taken abroad, we also ask you to attach documentation of the scope and quality of your entire education, both bachelor's and master's education, in addition to other higher education. Description of the documentation required can be found here. If you already have a statement from NOKUT, please attach this as well.

Joint works will be considered. If it is difficult to identify your contribution to joint works, you must attach a brief description of your participation.

In the evaluation of which candidate is best qualified, emphasis will be placed on education, experience and personal and interpersonal qualities. Motivation, ambitions, and potential will also count in the assessment of the candidates.

NTNU is committed to following evaluation criteria for research quality according to The San Francisco Declaration on Research Assessment - DORA.

About the Department of Marine Technology

The Norwegian University of Science and Technology (NTNU) creates knowledge for a better world and solutions that can change everyday life.

Department of Marine Technology

We develop methods and technology related to the blue economy: oil and gas extraction at sea, ship technology and the equipment industry, fisheries and aquaculture. We also have a strong commitment to the development of sustainable solutions for offshore renewable energy, coastal infrastructure, and marine robotics. Marine technology helps to solve major global challenges related to the environment, climate, energy, food and efficient transport. The Department of Marine Technology is one of eight departments in the Faculty of Engineering.

About the Employer:

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Contact details

If you have any questions about the position, please contact Ekaterina Kim and Roger Skjetne, email [email protected] and [email protected] . If you have any questions about the recruitment process, please contact Marit Gjersvold, e-mail: [email protected]

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