PhD position on Statistical Sampling, Robotics and AI for Ocean Observation
The Department of Mathematical Sciences (https://www.ntnu.edu/imf <https://www.ntnu.edu/imf>), Faculty of Information Technology and Electrical Engineering, Norwegian Univ. of Science and Technology, Trondheim. 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 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://www.jobbnorge.no/en/available-jobs/job/193409/phd-position-on-statistical-sampling-robotics-and-ai-for-ocean-observations <https://www.jobbnorge.no/en/available-jobs/job/193409/phd-position-on-statistical-sampling-robotics-and-ai-for-ocean-observations> 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/> 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>) or Kanna Rajan (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 http://www.ntnu.edu/ie/research/phd <http://www.ntnu.edu/ie/research/phd>). 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://www.ntnu.no/ie/forskning/integrertphd <https://www.ntnu.no/ie/forskning/integrertphd>). 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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