Inter-disciplinary PhD position on Statistical Sampling, Automated Planning and 
Robotics for Ocean Observation at the Norwegian University of Science and 
Technology (NTNU), Trondheim

*************************

Note: this position is specifically targeting Automated Planning and Execution 
with applied Statistical Sampling

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The Department of Mathematical Sciences NTNU is offering a PhD position which 
crosses disciplinary lines. Information can be found at:

https://www.jobbnorge.no/en/available-jobs/job/197845/phd-position-on-statistical-sampling-robotics-and-ai-for-ocean-observations
 
<https://www.jobbnorge.no/en/available-jobs/job/197845/phd-position-on-statistical-sampling-robotics-and-ai-for-ocean-observations>

Background
MASCOT (Maritime Autonomous Sampling and Control) is a research 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 
Statistical 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.

Application Deadline: January 31st 2021

The application must include the following:

A recent 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 the URL above.

Specific questions about the position can be directed to Jo Eidsvik 
(jo.eids...@ntnu.no <mailto:jo.eids...@ntnu.no> or Kanna Rajan 
(kanna.ra...@fe.up.pt <mailto:kanna.ra...@fe.up.pt>). Do not send any 
application material. 

regards
-kanna rajan
_______________________________________________________________________
Fellow, SIFT Inc.                                                               
Visiting Professor
Minneapolis, MN                                                         
Laboratório de Sistemas e Tecnologia Subaquática (LSTS)
                                                                                
        Faculdade de Engenharia da Universidade do Porto (FEUP)
&                                                                               
        Universidade do Porto, Portugal                                         
                                        
Co-Founder and Chief Scientist
Akitra Inc,
Silicon Valley, California

Web: https://kanna.rajan.systems <https://kanna.rajan.systems/>
Tel: +1 (650) 701-3616 (California)
_______________________________________________________________________


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