A fair part of our planet is considered as “built environment”. There is a large amount of digital footprint and visual data such as street-view images, maps and interior photos, floor plans, etc. Efficient exploration and analysis of these available data require intelligent tools. Therefore the result is a greater understanding and a superior design of our living environment by architects, designers, and engineers to solve real-world challenges such as sustainability, or health. The Lab’s research agenda focuses on state-of-the-art artificial intelligence methods for automatic recognition and understanding of visual attributes in architectural data: from images of built-forms, to architectural representations and design models. The challenges are the
- Positioning and analysing the state of Computer vision discipline with respect to the demands for efficient and novel computational frameworks in the domain of Architectural design.
- Data efficiency in the context of unsupervised methods for inductive biases such as shapes and image formats in architectural visual forms and data.
- Data collection in the context of the data-hungry supervised-learning models for the visual understanding of the built\design representations.
- Subjectivity in the human-level supervision, e.g., disagreement in the data annotation due to the complex or multifaceted perception of the architectural objects and concepts.
- Communication of the research outcomes to the domain experts (non-computer scientists) particularly in the lack of explainability in the modern machine-learning models.
AiDAPT lab at Architecture offers a Ph.D. position to address the challenges of computer vision for built/design-form recognition and understanding. Your role is to study, analyze and develop deep learning neural network models and the benchmark datasets for visual learning in architectural data. To train and evaluate competent computer vision models, you will work with convolutional neural networks and deep learning programming frameworks such as PyTorch and TensorFlow.
The AiDAPT lab is led by Seyran Khademi (Department of Architecture) and Charalampos Andriotis (Department of Architectural Engineering and Technology) at the Faculty of Architecture and the Built Environment at TU Delft. You will work at the Department of Architecture and in close collaboration with the Computer Vision lab at the faculty of Computer Science. You’ll be part of the Theory of Architecture and Digital Culture Group that studies the evolving relationship between AI and architecture discipline.
Ph D Position In Ai For Structure & Infrastructure Life Cycle Optimization Under Uncertainties, Delft University of Technology, Netherlands, about 10 hours ago
Challenge Decision-making under uncertainty for life-cycle optimization of structural systems and infrastructure Change Develop autonomous, data-informed, and adaptive decision strategies for larg...
Lecturer Ph D Degree In The Field Of Art, Artistic Discipline Of Fine Arts And Conservation Of..., State University of Applied Sciences in Nowy Sacz, Poland, 15 days ago
The competition may be entered by persons who meet the requirements set out in Art. 113 of the Act of July 20, 2018 Law on Higher Education and Science (Journal of Laws of 2021, item 478, as amend...
Visiting Researcher In Aalto University School Of Arts, Design And Architecture (Unfunded Position), Aalto University, Finland, 15 days ago
COVID19 notice: Dear applicant. Due covid19 situation we are processing new applications for visitor positions starting in beginning of 2022 at the earliest. The accepted visits will be realized o...
Fulltime Ph D Position In Human Centered Interactive Visual Data Analysis , University of Zurich, Switzerland, about 18 hours ago
Department of Informatics Fulltime PhD Position in Human-Centered Interactive Visual Data Analysis 75 % We are looking for a motivated research assistant (m/f/d) in the areas of visual analytics, i...
Ph D Candidate In Energy Labels For Digital Services, University of Amsterdam, Netherlands, 28 days ago
The use of non-renewable resources is causing global-scale environmental problems, which threaten the stability of our planet earth. The safe operating space to maintain liveable conditions on ear...
Doctoral Researcher In Software Defined Vehicles, University of Luxembourg, Luxembourg, 4 days ago
Doctoral researcher in Software-Defined Vehicles (Valid from 02/09/2021 to 04/11/2021) Language: English (UK) Country: Luxembourg Organisation Computer Science data: Job number: UOL04261 Contract ...