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Graph representation of BIM models for machine learning applications

  • Full or part time
  • Application Deadline
    Applications accepted all year round
  • Funded PhD Project (Students Worldwide)
    Funded PhD Project (Students Worldwide)

About This PhD Project

Project Description

Objectives

To devise graph representations of BIM models that can be used for machine learning and other AI techniques; To test the representations through prototypical application to a set of key BIM research and development problems, including semantic enrichment of BIM models, identification and classification of known BIM objects in point cloud data (raw PCD or segmented geometry); to explore the range and the types of problems in architecture, engineering and construction to which the technology can be applied.

Expected Results

The ESR will implement and test proof of concept prototypes of sample BIM appications using machine learning with graph representations; and will prepare a taxonomy of research applications and the BIM/AI approaches suitable for their solution. The outcome is expected to include both a theoretical and a practical (empirical) evaluation and comparison of the efficacy of the general approach. The report is expected to include detailed recommendations for industrial implementation.

Network

This ESR position is part of the CBIM network, a consortium of European partners with complementary world-leading expertise from academia and industry, is offering 14 fully funded PhD and one Post Doc position for highly talented people who are eligible for study at any one of its partner universities. Each ESR will be employed full time at one of the CBIM partner universities or at one of the three CBIM beneficiary companies. Those employed directly by the universities will enrol for PhD study at the same university; those employed by partner companies will enrol at one of the five universities for external PhD studies. CBIM is funded by the EU Horizon 2020 program under the Marie Skłodowska-Curie Innovative Training Network call under grant no. 860555. Please see https://cbim2020.net.technion.ac.il/.

Recruitment, Eligibility and Mobility

Successful candidates will be employed for a maximum period of three years full-time equivalent and receive a generous financial package plus an additional mobility and family allowance according to the rules for Early Stage Researchers (ESRs) in an EU Marie Sklodowska-Curie Actions Innovative Training Networks (ITN). A career development plan will be prepared in accordance with his/her supervisor and will include training, planned secondments and outreach activities in partner institutions of the network. The ESR fellows are supposed to complete their PhD thesis by the end of the 3rd year of their employment.

 All researchers recruited in a Marie Sklodowska-Curie ITN must be Early-Stage Researchers (ESRs). An ESR shall, at the time of recruitment by the host organisation, be in the first four years (full-time equivalent research experience) of their research careers and have not been awarded a doctoral degree.
 Researchers are required to undertake transnational mobility (i.e. move from one country to another) when taking up their appointment. One general rule applies to the appointment of researchers: on the date of recruitment by the host beneficiary, researchers must not have resided or carried out their main activity (work, studies, etc.) in the country of their host beneficiary for more than 12 months in the 3 years immediately prior to the reference date. Note that the mobility rule applies to the beneficiary where the researcher is recruited, and not to beneficiaries to which the researcher is sent or seconded. Date of Recruitment normally means the first day of the employment of the fellow for the purposes of the project (i.e. the starting date indicated in the employment contract or equivalent direct contract).
 Researchers can be of any nationality.
 There is no age limit.
 Applicants must hold a research (thesis) Master’s degree in engineering, architecture or computer science.

Contact details for checking PhD Eligibility: Ms. Gabriela Laufmann, International Students Advisor,
https://graduate.technion.ac.il/en/prospective-students/graduate_degree_studies_at_technion/

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