PhD Candidate in Artificial Intelligence (AI) in projects

  • Scholarship
  • Norway

NTNU


This is NTNU

NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in three cities with headquarters in Trondheim.

At NTNU, 9,000 employees and 42,000 students work to create knowledge for a better world.

You will find more information about working at NTNU and the application process here.

   

(Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video)

About the position

Department of Mechanical and Industrial Engineering has a vacancy for a PhD candidate in the Project and Quality Management Research Group (PKL), with special focus on risk modelling and prediction of safety issues in projects.

The PKL Research Group is involved in research related to various aspects of project and performance management, including use of artificial intelligence (AI) in project contexts. NTNU is participating in the Sustainable value creation by digital predictions of safety performance in the construction industry (DiSCo) project, funded by the Norwegian Research Council.

The main aim of DiSCo is to develop knowledge about and methods for application of artificial intelligence in early phases of construction projects to predict future safety performance in the production phase and thus provide improved decision-making support to reduce number of accidents.

We have a vacancy for a PhD candidate related to risk modelling. You are expected to identify appropriate techniques and tools, including artificial intelligence techniques, to generate proof of concepts for early warning dashboards. Activities include to determine the most appropriate artificial intelligence techniques to mine and learn from data based on an in-depth, cross domains, literature review and a series of practical experiments.

Further, you are expected to implement the most appropriate way to combine modelling and simulation techniques with data mining and machine learning techniques. This will be realized by means of a series of experiments in collaboration with industrial partners.

You are expected to be an active and integrated part of the academic environment at the department and to participate in cooperation with partners in the DiSCo project that funds the PhD position.

For a position as a PhD Candidate, the goal is a completed doctoral education up to an obtained doctoral degree.

You need to have clear thoughts on relevant approaches for the doctoral work.

Your immediate leader is Professor.

View or Apply
To help us track our recruitment effort, please indicate in your cover/motivation letter where (jobs-near-me.eu) you saw this job posting.</strong