PhD research fellowship position in Robotic Vision and Machine Learning on Autonomous Robotic Platforms

The position’s field of research/research Project

The Norwegian University of Science and Technology (NTNU) is offering a PhD position,  related to a highly interdisciplinary project which targets fundamental research questions in the fields of Robotic Vision, Machine Learning, Artificial Intelligence (AI) and Control Theory for the use in microbiology and oceanography.

The project aims to image, process, analyze plankton images taken from the upper water column by a mobile autonomous underwater vehicle (AUV) thereby autonomously target specific microbiological taxa.

This PhD project will build upon state-of-the-art machine learning methods including Deep Convolutional Neural Networks (Deep Learning) and other machine learning techniques to enable optimal navigation decisions with an improved context awareness and the ability to classify microbiological images unsupervised and do so online onboard an AUV. Exploiting such relatively new concepts for which a huge amount of data is required and sufficient training data has to be generated with respect to an expected taxonomy is a significant challenge. Labelling of new classes may require augmented taxonomic classification capabilities from a biological expert. In the next step the autonomous control part of the process pipeline will bypass input from a biological expert exploiting new self guided Machine Learning methods. In addition, the project will explore how to train a neural network with image data not only along the spatial but also temporal domain for information evolution.

The successful candidate will be appointed for a period of 3 years, with possible extension to a fourth year if the candidate undertakes teaching related duties.

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