Postdoctoral Fellow in Computer Science
Postdoctoral Fellow in Data and Model Based Condition Analytics of Machinery Systems for Life Cycle Operation Support
About the position
We have a vacancy for a Postdoctoral fellow in Data and model based condition analytics of machinery systems for life cycle operation support at the Department of Oceans Operations and Civil Engineering
Automatic control, monitoring, decision support and optimization technologies for marine applications constitute a large part of ongoing digitalization and automation transformation in the maritime industry. Complex operations and vessels with highly integrated power and automation systems are evolving rapidly towards fully autonomous systems. To meet the autonomous requirements for safe operations, advanced data analytics, digital twins and realistic digital behavior models are needed. In maritime industry model-based control and monitoring of the operations, various model parameters are often uncertain due to environmental conditions and lack of proper instrumentation. The recent years digital development is offering huge amount of data and efficient data transfer. However, suitable methods are lacking such as:
- Digital twin models for condition monitoring
- Sensor fusion and model based decision support
- Condition monitoring combining model based and data driven methods
- AI applied on real data for feedback learning and optimization purposes
In maritime operations, many parameters in behavior models are known only approximately from simplified model test data or comprehensive CFD simulations. These parameters can be uncertain due to very complex and changing environmental effects from waves, current and wind. To explore new methods, NTNU’s research vessel “Gunerus” is now being instrumented for the purpose of combining model based and data driven analytics for condition monitoring. Further, a parallel project of instrumenting the full-scale laboratory “Møre ocean laboratory” will give access to large amount of data.
The Postdoctoral Fellow (alteratively PhD) will contribute to a larger project that aims to develop novel methods for condition monitoring and optimization of maritime operations, that would unite the positive aspects of both model-based and data-driven approaches and avoid, if possible, their drawbacks. The project focuses on development and application of fundamental digitalization and automation methods for Maritime Operations, with potential impact on autonomous ships. The following research questions will be addressed:
- How to adapt data-driven methods to limitations in instrumentation and amount of logged information available for (machine) learning?
- How to unite model-driven and data-driven optimization methods taking into account available information on the process and model accuracy?
- How to control/optimize operations based on the information available from previous similar operations distributed in time and/or space?
A postdoctoral research fellowships is a qualification position in which the main objective is qualification for work in academic positions. The qualification requirement is completion of a PhD degree with a strong academic background in applied computer science, data analysis, cybernetics, all related preferable to maritime sector or related applications.
Candidates with marine or mechanical engineering background combined with strong digital competence will also be considered. For an alternative PhD position a relevant master degree (equivalent to 120 credits) with a grade of B or better in terms of NTNU’s grading scale is required. Applicants who are unable to meet these criteria may be considered only if they can document that they are particularly suitable candidates.
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
- General knowledge about the maritime industry;
- Experience with experimental work (lab/field) – instrumentation and data analysis;
- Good written and oral English language skills, documented by either TOEFL, IELTS, Cambridge Certificate in Advanced English or Cambridge Certificate of Proficiency in English
- Good communication skills
- Ability to work independently as well as in team
- Organized and result oriented
- Ability to take initiative in assigned tasks
- Keen interest in the wider context of own research, and ability to engage in cross-disciplinary teams.
In the evaluation of which candidate is best qualified, emphasis will be placed on education, experience and personal suitability, as well as motivation, in terms of the qualification requirements specified in the advertisement
- exciting and stimulating tasks in a strong international academic environment
- an open and inclusive work environment with dedicated colleagues
- favourable terms in the Norwegian Public Service Pension Fund
- employee benefits
Salary and conditions
Postdoctoral candidates are remunerated in code 1352, and are normally remunerated at gross from NOK 515 200 before tax per year. From the salary, 2 % is deducted as a contribution to the Norwegian Public Service Pension Fund.
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 x years (with or without required duties?). Appointment to a PhD position requires admission to the PhD programme in [subject area] (Link to website, if applicable).
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.
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 Vilmar Æsøy, e-mail email@example.com
About the application:
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 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 SO IV 29/19 when applying.
Application deadline: 01.03.2019
NTNU - knowledge for a better world
The Norwegian University of Science and Technology (NTNU) creates knowledge for a better world and solutions that can change everyday life.
Department of Ocean Operations and Civil Engineering
We aim to be a hub of international knowledge and innovation in maritime operations. This involves education and research on the design of ships and marine equipment as well as on the operation of vessels. Maritime operations integrate technology, human factors and business. The interfaces between these areas often spark inspiration for innovation and new solutions. The Department of Ocean Operations and Civil Engineering is one of eight departments in the Faculty of Engineering.
Employer NTNU - Norwegian University of Science and Technology
Place of service NTNU Ålesund