• Description:

    In order to make our cities more circular, we need to fundamentally revisit the way that we define and quantify the value of our built environment. This fully-funded doctoral project is part of a Marie Sklodowska Curie Action Doctoral Network, QuiVal, a programme funded by the European Union with the aim to develop a fundamentally new approach to real estate valuation, allowing the sector to rapidly transition towards a more sustainable, low carbon and circular future. This will be achieved through a transdisciplinary doctoral training programme across 8 universities and 14 industry partners, and including 13 doctoral candidates who will work, together and separately, to rethink the philosophy, principles and processes of valuation. The programme is transdisciplinary and co-produced by leading academics and practitioners who are passionate and knowledgeable about the real estate industry and about sustainability. Five objectives have been developed through which to achieve the aim, and each doctoral project will respond to one of these objectives.

    Qualifications 

    •  An MSc degree with a background in computer science, digitalization, smart buildings, data science or architecture, engineering (civil, environmental, urban) with strong IT skills
    •  Proficiency in English speaking, reading and writing, (preferred)
    • Strong skills in mixed research methods
    •  Good communicative and entrepreneurial skills, independent attitude paired with an ability to work in a research team

    Documents 

    1. Cover letter (max 1 page)
    2. CV including a list of publications
    3. A short position paper to show how you will address the topic (max 800 words, excluding bibliography) in PDF format
    4. Academic transcripts/list of courses completed or ongoing, including grades and ranking in PDF format (please upload a single PDF)
    5. Name, phone number, and email address of 3 referees in PDF
    6. A vimeo or youtube link to a 3-minute video explaining how you would address the research topic (please upload a PDF with the link written in full)

     

     

  • Fields

    • Architecture and Design

    • Civil Engineering

    • Computer Science

    • Data Science

  • Qualifications

    • Master

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