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Phd Candidate In Digital Twin Evolution In Maritime Life Cycle in Norway

Inicio » Convocatorias y Premios UE » Euraxess » Science » Phd Candidate In Digital Twin Evolution In Maritime Life Cycle in Norway

16 de April de 2024

Digitalization has become a key aspect of making the maritime industries more innovative, efficient and fit for future operations. The IHB department of the Norwegian University of Science and Technology is pioneered toward the direction and has implemented a digital twin of a research vessel, aiming to generate a digital replica of its physical counterpart for monitoring, onboard support and operation evaluation. The twin system lumps all information from different sensors, components, models and sub-systems to represent physical behaviours. Considering the complexity of the system and uncertainties from environment, it is necessary to maintain the twin system to keep its accuracy at an acceptable range while reducing the cost of system update. Therefore, how to conduct system analysis, testing and updating to the twin system is of great importance.

Duties of the position

The appointee will be expected to set up research plans with the help of the supervisor team and conduct them accordingly, take lead in research idea generation and research paper writing, establish close cooperation with other PhD candidates with the same project and comply with the PhD training programme of the Faculty.

Required selection criteria

Applicants should possess a professionally relevant background in computer science, automation related engineering; an education corresponding to a five-year Norwegian degree program, where 120 credits are obtained at master´s level; have a strong academic background from your previous studies and an average grade from the master’s degree program, or equivalent education, which is equal to B or better comapred with NTNU’s grading scale; demonstrate a strong motivation for the position; have experience of software engineering; demonstrate knowledge/experience in AI and data-driven approaches; have good communications skills; enthusiastic, be self-driven and able to take initiatives; be able to work independently as well as in team and be keen interest in the wider context of own research and an ability to engage in cross-disciplinary teams.

Benefits

The selected candidate will be offered exciting and stimulating tasks in a strong international academic environment; an open and inclusive work environment with dedicated colleagues, favourable terms in the Norwegian Public Service Pension Fund and employment for 3 years with a gross anual salary of NOK 532200.

Organisation/Company – NORWEGIAN UNIVERSITY OF SCIENCE & TECHNOLOGY – NTNU

Research Field – Computer science

Researcher Profile –

First Stage Researcher (R1)
Recognised Researcher (R2)
Established Researcher (R3)

Country – Norway

Application Deadline – 31 May 2024

More information: EURAXESS

Publicaciones relacionadas:

seguridad-protección-ciberseguridadPost-Doctoral Research Fellow in ICT – Machine learning and cybersecurity PhD student in simulation and image analysis of brain tumor mechanics in Norway Post-Doctoral Position in Computer science in Brazil PhD in RNA Computational Biology, Neuroscience and Comparative Genomics in Australia PhD student in Deep Learning applied to Fake News detection in Spain

EU Calls and Awards,  Euraxess,  Science Computer science,  Euraxess,  Norway,  PhD

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