PhD position on Statistical Sampling, Robotics and AI for Ocean Observation.
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Note: this position is specifically targeting Automated Planning and Execution
with Statistical Sampling.
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The Department of Mathematical Sciences
(https://urldefense.com/v3/__https://www.ntnu.edu/imf__;!!LIr3w8kk_Xxm!-06lto17uZYHBvpxbLIqb4eGf4pDrD00_5yVmgRDqGBoQ5Mr010e-y4ET2fvgT5KYwx7LnL5$
<https://urldefense.com/v3/__https://www.ntnu.edu/imf__;!!LIr3w8kk_Xxm!-06lto17uZYHBvpxbLIqb4eGf4pDrD00_5yVmgRDqGBoQ5Mr010e-y4ET2fvgT5KYwx7LnL5$>
<https://urldefense.com/v3/__https://www.ntnu.edu/imf__;!!LIr3w8kk_Xxm!-06lto17uZYHBvpxbLIqb4eGf4pDrD00_5yVmgRDqGBoQ5Mr010e-y4ET2fvgT5KYwx7LnL5$
<https://urldefense.com/v3/__https://www.ntnu.edu/imf__;!!LIr3w8kk_Xxm!-06lto17uZYHBvpxbLIqb4eGf4pDrD00_5yVmgRDqGBoQ5Mr010e-y4ET2fvgT5KYwx7LnL5$>
>), Faculty of Information Technology and Electrical Engineering, Norwegian
Univ. of Science and Technology, Trondheim.
Background
MASCOT (Maritime Autonomous Sampling and Control) is a rsearch project
financed by the IKTPLUSS program of the Norwegian Research Council. The project
is a collaboration between NTNU, SINTEF Ocean and the Univ. of Porto, Portugal.
The primary aim of the MASCOT project is to expand current knowledge on
sampling for the global ocean in a multi-disciplinary manner through the
enabling sciences of mathematics, statistics, control engineering and
autonomous systems. The ocean holds extremely important resources for the
Norwegian society, and new knowledge to sustain this environment while being
innovative in developing new domains of the changing economy is of utmost
importance.
Together with other PhDs and faculty on the MASCOT project, this PhD candidate
will build on realistic spatio-temporal statistical models and methods for
environmental sampling and control for embedded decision-making on Autonomous
Underwater Vehicles (AUVs).
The developed methods will take advantage of recent advances in computational
and spatial statistics and be coupled with new ideas for robotics and AI-based
control systems. This research aims to advance embedded decision-making using
scalable methods that run onboard autonomous robotic vehicles for oceanographic
sampling. And in doing so to increase our knowledge of dynamic environments
like the upper water-column, by the design of observational strategies in
spatio-temporal domains that enable robots to decide where and when to make
measurements.
Job Advertisement:
https://urldefense.com/v3/__https://www.jobbnorge.no/en/available-jobs/job/193409/phd-position-on-statistical-sampling-robotics-and-ai-for-ocean-observations__;!!LIr3w8kk_Xxm!-06lto17uZYHBvpxbLIqb4eGf4pDrD00_5yVmgRDqGBoQ5Mr010e-y4ET2fvgT5KY4g6kxsp$
<https://urldefense.com/v3/__https://www.jobbnorge.no/en/available-jobs/job/193409/phd-position-on-statistical-sampling-robotics-and-ai-for-ocean-observations__;!!LIr3w8kk_Xxm!-06lto17uZYHBvpxbLIqb4eGf4pDrD00_5yVmgRDqGBoQ5Mr010e-y4ET2fvgT5KY4g6kxsp$>
<https://urldefense.com/v3/__https://www.jobbnorge.no/en/available-jobs/job/193409/phd-position-on-statistical-sampling-robotics-and-ai-for-ocean-observations__;!!LIr3w8kk_Xxm!-06lto17uZYHBvpxbLIqb4eGf4pDrD00_5yVmgRDqGBoQ5Mr010e-y4ET2fvgT5KY4g6kxsp$
<https://urldefense.com/v3/__https://www.jobbnorge.no/en/available-jobs/job/193409/phd-position-on-statistical-sampling-robotics-and-ai-for-ocean-observations__;!!LIr3w8kk_Xxm!-06lto17uZYHBvpxbLIqb4eGf4pDrD00_5yVmgRDqGBoQ5Mr010e-y4ET2fvgT5KY4g6kxsp$>
>
About the application:
Deadline: November 2nd 2020
The application must include the following:
CV which includes information about education background and work experience.
Certified copies of relevant transcripts and diplomas. Candidates from
universities outside Norway are expected to send a Diploma Supplement or
similar documentation, which describes in detail the program of study, the
grading system and the rights for further studies associated with the obtained
degree
Contact information for two references.
Documentation of fluency in the English language.
Applications must be submitted electronically via jobbnorge.no
<http://jobbnorge.no/><https://urldefense.com/v3/__http://jobbnorge.no/__;!!LIr3w8kk_Xxm!-06lto17uZYHBvpxbLIqb4eGf4pDrD00_5yVmgRDqGBoQ5Mr010e-y4ET2fvgT5KY9d2ccWK$
<https://urldefense.com/v3/__http://jobbnorge.no/__;!!LIr3w8kk_Xxm!-06lto17uZYHBvpxbLIqb4eGf4pDrD00_5yVmgRDqGBoQ5Mr010e-y4ET2fvgT5KY9d2ccWK$>
> at the URL above; no other form of input will be accepted. Preferably, the
attachments should be submitted as a single file. Please refer to the
application number 2020/xxxx when applying.
Applicants who have been short-listed will be invited for interviews.
Candidates will be expected to commence work in January 2021 or sooner.
Questions about the position can be directed to Jo Eidsvik (jo.eids...@ntnu.no
<mailto:jo.eids...@ntnu.no> <mailto:jo.eids...@ntnu.no
<mailto:jo.eids...@ntnu.no>>) or Kanna Rajan (kanna.ra...@fe.up.pt
<mailto:kanna.ra...@fe.up.pt> <mailto:kanna.ra...@fe.up.pt
<mailto:kanna.ra...@fe.up.pt>>).
Qualifications
Suitable candidates for the PhD positions should have a Master’s degree in
Mathematical Sciences, Statistics, Artificial Intelligence, Control
Engineering, or equivalent.
The applicant must satisfy the requirement for entering the PhD program at NTNU
(see
https://urldefense.com/v3/__http://www.ntnu.edu/ie/research/phd__;!!LIr3w8kk_Xxm!-06lto17uZYHBvpxbLIqb4eGf4pDrD00_5yVmgRDqGBoQ5Mr010e-y4ET2fvgT5KY4gLEFjs$
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<https://urldefense.com/v3/__http://www.ntnu.edu/ie/research/phd__;!!LIr3w8kk_Xxm!-06lto17uZYHBvpxbLIqb4eGf4pDrD00_5yVmgRDqGBoQ5Mr010e-y4ET2fvgT5KY4gLEFjs$
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>). The admission to a PhD program requires an average grade of A or B within
a scale of A-E for passing grades (A best) for the last two years of the Master
degree, and C or higher for the Bachelor degree.
Students who expect to complete their Master degree studies by summer 2020 are
encouraged to apply. Employment will then start when the Master degree is
finished.
Programing skills in C++, python, Matlab and one or more other programming
languages is highly desirable and an important discriminator.
The ideal candidate should be highly motivated with a strong background in
quantitative modeling and methodologies that have interests in
multidisciplinary-driven scientific work.
It is possible to apply for an integrated PhD position for students at the
Faculty of Information Technology and Electrical Engineering, NTNU. Students
can then start on their thesis work before delivering the MSc degree
(https://urldefense.com/v3/__https://www.ntnu.no/ie/forskning/integrertphd__;!!LIr3w8kk_Xxm!-06lto17uZYHBvpxbLIqb4eGf4pDrD00_5yVmgRDqGBoQ5Mr010e-y4ET2fvgT5KY-1HhFZ3$
<https://urldefense.com/v3/__https://www.ntnu.no/ie/forskning/integrertphd__;!!LIr3w8kk_Xxm!-06lto17uZYHBvpxbLIqb4eGf4pDrD00_5yVmgRDqGBoQ5Mr010e-y4ET2fvgT5KY-1HhFZ3$>
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>).
The applicants who do not master a Scandinavian language must document a
thorough knowledge of English (equivalent to a TOEFL score of 600 or more).
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