Researcher in Artificial Intelligence / Machine Learning

Updated: about 1 month ago
Deadline: 31 Oct 2019

Position Information

Topic: Implementation of AI in Construction Design

Department: Control and Monitoring of Intelligent Buildings

Reportsto: A team leader of programming team

No Positions offered: 1

Closing date: 31.10.2019

How to apply: applications must be submitted by email to: gabriela.urbaskova@cvut.cz


About Organization

University Centre for Energy Efficient Buildings of the Czech Technical University in Prague (UCEEB) is a national center of excellence focused on energy efficient buildings. UCEEB was founded as an independent research institute of the Czech Technical University in Prague combining interdisciplinary teams from areas of architecture, building engineering, mechanical engineering, electrical engineering, energy, environment, sociology and biomedicine.

We have a dedicated team, state-of-art technologies and an extremely interesting field of research for the future.

By combination of new knowledge across research disciplines and cooperation with commercial sector, we contribute to the application of results, which are beneficiary for individuals, society and environment. We aim to contribute to the development of buildings that do not harm the environment, but also provide reasonable comfort for people.


Summary of the Role

We are looking for ambitious MSc graduate or PhD student in Artificial Intelligence / Machine Learning focusing on AI disciplines, such as applied mathematics, machine learning, deep learning who will join our team which is working on project regarding use of AI in building industry.

The main objective of this role is to develop a software for the analysis and design of layouts of the office buildings, as a tool for architects in early design stages. This work involves close cooperation with our architects, sociologists and psychologists.

The developed software will work as follows:

  • Reading clients’ requests for premises in the building
  • Determination of limitations (technological & operational) based on the trained expert system
  • Optimization of space and generation of several solutions
  • The second output of this project work will be a publicly available document which will be created in cooperation with Siemens company. This document will aim to present the main challenges and drivers of the construction transformation with an emphasis on the digitization and use of AI. The document will monitor the possibilities of using modern technologies and procedures to achieve 5 strategic goals for the construction sector:

    • Speed of construction
    • Social aspects
    • Use of local materials and resources
    • Modifiability and recyclability
    • Potential of smart energy grids

    The post holder will be expected to:
    • Design and develop a software to display a design of a building
    • Collaborate with other scientists and stakeholders to develop a framework (document) for AI-driven digitalization in the construction industry
    • Engage with scientists and operators to understand the workflow associated with the forecast production and offer technical solutions related to product generation.
    • Engage and collaborate with companies such as Siemens and use of artificial intelligence in the field of building energy
    • The main research areas relevant to these positions involve probabilistic machine learning, Bayesian statistics, (Bayesian) optimization, time series analysis, probabilistic programming, graphical models/causal inference, probabilistic deep learning and natural language processing/understanding (NLP/U)

     
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