[robotics-worldwide] [jobs] PhD in Machine Learning-based Perception for Inspection, Robots, Copenhagen, Last CallCALL

Evangelos Boukas evbou at elektro.dtu.dk
Thu Jul 18 07:12:16 PDT 2019


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PhD position: Machine Learning-based Perception for Inspection 
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!Attention: LAST CALL! 

We are looking for a motivated PhD student to work alongside a strong 
consortium in the field of Machine Learning for inspection in the maritime 
industry. 

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Project Description 
---------------------------- 
The goal of this PhD project is to design, implement and test novel 
perception and machine learning methods for inspection in the maritime 
industry. The project will require understanding the application domain 
-which includes confined and highly reflective/dark areas- designing methods 
for the detection and classification of faults in vessel surfaces using 
Machine Learning (including but not limited to Deep Learning), producing 
perception to assist the navigation of an aerial vehicle, testing and 
validating the developed technologies in real-life applications. 

Your qualifications: 
Must have a two-year master's degree (120 ECTS points) or a similar degree 
with an academic level equivalent to a two-year master's degree. 
-Additionally: 
Experience with open source robotic tools, such as ROS, would be an 
advantage. 
Hands on experience with hardware for sensing would be an advantage. 
Familiarity with design of convolutional neural networks architectures would 
be an advantage. 

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Benefits 
---------------------------- 
The position is fully funded with a competitive -wrt European standards- 
salary as well as social benefits (i.e. a pension plan). The facilities at 
DTU Elektro are on par with the state of the art and the environment 
inspires high-quality research. The working environment can be described as 
casual and enjoyable with a lot of activities. Copenhagen, as many times 
before, has been ranked the most livable city for European expats in a new 
research released just 3 months ago. 
Denmark has consistently been the leading country in happiness as described 
by UN’s Happiness Index and the Earth Institute’s World Happiness Report. 
Not having to worry about your quality of life, which will be quite high in 
Copenhagen, it's only your motivation and dedication that will determine 
your successful 
PhD research. 

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Important Dates 
---------------------------- 
Application Deadline: 26th July 2019 (Apply now as this is a live procedure) 
Interviews and selection: ongoing currently and finished before end of July   
Starting date: 1st of September. 

Link for more info and to apply: 
https://urldefense.proofpoint.com/v2/url?u=https-3A__www.elektro.dtu.dk_english_about-2Dus_vacancies_job-3Fid-3D0a98b144-2D6fb7-2D440b-2D8e37-2D9b483ad94898&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=tcNdgoifthOfKbKiTmciaJ8JyTNt18eMUNZWad7Vmsk&s=0ea598mIKGo89dv6grbvZ71mKDY_xcICtS3Uqa4c8eM&e= 

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Contact details 
---------------------------- 
For further information contact Assistant Professor Evangelos Boukas: 
evbou at elektro.dtu.dk

___________________________________ 
Evangelos Boukas 
Assistant Professor 
Technical University of Denmark 
Department of Electrical Engineering 
Automation and Control – AUT 
Elektrovej, Building 326 
2800 Kgs. Lyngby, Denmark 



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