Postdoctoral fellowship candidate in “Intelligent monitoring of drilling
operations in sensitive environments”
Apply for position on this webpage
The position’s field of research/research project:
Postdoctoral position: Intelligent monitoring of drilling operations in
About the project:
INDORSE is a researcher project financed by the PETROMAKS2 programme of the
Norwegian Research Council. The project is a collaboration between SINTEF
Ocean, SINTEF Digital, NTNU Department of Engineering Cybernetics and the
Center of Excellence of Autonomous Marine Operations and Systems
(NTNU-AMOS), and focuses on the spatial and temporal dynamics of particle
dispersal from oil drilling, and methods and technology for observing the
ecosystem. To adequately sample the local environment, this project calls
for a swarm of autonomous mobile measurement platforms (including Autonomous
Underwater Vehicles or AUVs) equipped with sensors measuring current,
hydrography and suspended particle content utilizing adaptive sampling
strategies. The interaction between the AUVs and a shore/ship-based decision
support system requires acoustic communication. INDORSE aims to achieve its
objectives through 1) analyzing the dynamics of the dispersal of drill
cuttings and how to observe it, 2) utilizing state-of-the-art mathematical
models of the process, 3) analyzing the feasibility and quality of acoustic
communication between AUVs and installations, and 4) developing, testing and
demonstrating key elements of the monitoring system. The project will employ
a PhD student dedicated to system analysis, sampling theory and the
establishment of technology requirements, and a post.doc researcher with
focus on technological solutions including fully autonomous control for
The postdoctoral candidate will contribute to the project within the
• Responsibility for tests and demonstrations: There will at least be two
field tests during the project, and one of the field campaigns will be run
in Frænfjorden, which has an active deposition site for mine tailings with a
particle size distribution very similar to that of cutting from oil. The
postdoctoral will be the main responsible for coordination and
implementation of the field works.
• System and sensor integration: Sensors for oceanographic variables (may
include current, temperature, salinity, pressure, turbulent kinetic energy)
compatible with the AUV technology need to be identified. A sensor package
suitable for measuring suspended particles must be identified and adapted
for this application. This includes sensors to be used onboard the AUV, but
also larger instruments on buoyed platform. Enable data communication and
• Sampling theory: Adaptive sampling strategies for drilling scenarios,
focusing on what features need to be observed at which spatial resolution to
observe the system. Use of simplified models through machine learning, and
optimization based methods for path planning to maximise expected
information value from measurements. Establish methods to find optimal
• Technology requirements: Establish methods to calculate the demands put by
the system to be observed on the number of observation platforms, their
performance and their sensor packages.
Successful applicants must have a doctoral degree in control engineering,
cybernetics, marine technology, applied mathematics/statistics or a similar
discipline, with strong skills in one or more areas such as system theory,
adaptive sampling and estimation, mathematical modelling, and
instrumentation/navigation. The applicant should be experienced in robotic
system integration, and is expected to have great organizational skills such
as the ability to plan, coordinate resources and meet deadlines. Applicants
are required to justify their candidateship by explicitly explaining their
personal motivation and academic aptitude (general applications will not be
Academic results, publications, relevant specialization, work or research
experience, personal qualifications, and motivation will be considered when
evaluating the applicants.
The research of this project has civilian objectives. However, equipment
restricted by export licenses and ITAR (International Traffic in Arms
Regulations) is being used in this research area. Applicants that are
citizens of Norway, NATO countries, Australia, Japan, New Zealand, or Sweden
are eligible. Other applicants should provide evidence of eligibility to use
such equipment for their application to be considered.
Excellent English skills, written and spoken, are required. Applicants from
non-European countries where English is not the official language must
present an official language test report. The following tests can be used as
such documentation: TOEFL, IELTS or Cambridge Certificate in Advanced
English (CAE) or Cambridge Certificate of Proficiency in English (CPE).
Minimum scores are:
TOEFL: 600 (paper-based test), 92 (Internet-based test)
IELTS: 6.5, with no section lower than 5.5 (only Academic IELTS test
CAE/CPE: grade B or A.
Must have a doctoral degree within a relevant area.
Challenging applied research tasks.
A good work environment with skillful, experienced, and creative research
Competitive salary (subject to qualifications)
Well-established national and international scientific and industrial
A large degree of autonomy, and flexible working hours.
Social benefits (pension plan, insurance, possibility for kindergarten,
SINTEF Digital's office in Trondheim, Norway.
The successful candidate will be appointed for a period of 2 years, with
possible extension to a permanent position if all parties are interested.
Contact persons will be Esten Ingar Grøtli ([hidden email]),
Tor Nordam ([hidden email] ) and Professor Tor Arne Johansen
([hidden email]) .
How to apply:
Please go to this webpage
and click "apply". Applicants are kindly requested to send a diploma
supplement or a similar document, which describes in detail the study and
grading system and the rights for further studies associated with the
The application with a CV and certified copies of diplomas and certificates
must be sent electronically with information about education and relevant
experience (all in one combined PDF file).
Deadline for applications: 2017-12-01
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