[CODATA - Data Science Training] Postdoctoral Fellow in Computer Science
Felix Emeka Anyiam
felixemekaanyiam at gmail.com
Fri Feb 1 23:31:35 EST 2019
*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
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
- 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
- exciting and stimulating tasks in a strong international academic
- an open and inclusive work environment
- 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
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
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.
Working at NTNU <https://www.ntnu.edu/nirs>
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
Questions about the position can be directed to Professor Vilmar Æsøy,
e-mail vilmar.aesoy at ntnu.no
*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
<https://www.ntnu.edu/ihb> is one of eight departments in the Faculty of
*Employer *NTNU - Norwegian University of Science and Technology
*Place of service *NTNU Ålesund
Felix Emeka Anyiam
*Research Officer & Data Analyst/Scientist*
Centre for Health and Development
University of Port Harcourt (UNIPORT)
Top Floor, Medical Library Building
University of Port Harcourt Teaching Hospital (UPTH), Port Harcourt
River State, Nigeria.
ORCID ID: http://orcid.org/0000-0003-2774-7406
Skype ID: @felix.emeka.anyiam
tel: +234 (0) 806 499 5462
email: chd at uniport.edu.ng
*The CODATA-RDA School of Research Data Science, ICTP, Trieste Italy
I don't mind not knowing. It doesn't scare me. - Richard Feynman
To consult the statistician after an experiment is finished is often merely
to ask him to conduct a post mortem examination. He can perhaps say
what the experiment died of. -Ronald A. Fisher.
This message has been scanned for malware by Avast. www.avast.com
-------------- next part --------------
An HTML attachment was scrubbed...
More information about the Data_science_training