PHD THESIS “ARTIFICIAL INTELLIGENCE FOR COMPUTATIONAL URBAN PLANNING”

4800


As Austria's largest research and technology organisation for applied research, we are dedicated to make substantial contributions to solving the major challenges of our time, climate change and digitisation. To achieve our goals, we rely on our specific research, development and technology competencies, which are the basis of our commitment to excellence in all areas. With our open culture of innovation and our motivated, international teams, we are working to position AIT as Austria's leading research institution at the highest international level and to make a positive contribution to the economy and society. 

  

Our Center for Energy located in Vienna invites applications for a PhD Thesis - Join our AIT PhD programme with around 150 international students, carried out in cooperation with renowned universities – Let’s make ideas work – With you? 


This PhD project is scheduled for three years and together with a team of experts you are pioneering new ways to develop novel computational planning approaches in an international project environment - AIT’s Integrated Digital Urban Planning team focuses on researching and applying innovative tools and methods for the computational design of resilient and sustainable cities in an interdisciplinary manner. 



PHD THESIS “ARTIFICIAL INTELLIGENCE FOR COMPUTATIONAL URBAN PLANNING”

CENTER FOR ENERGY

  • During this PHD project, you will advance computational models (e.g., parametric approaches) for the rapid generation of design variants and develop new methods for multi-variate impact assessments in complex urban planning projects.
  • You will apply and advance AI/ML techniques utilized for digital urban planning tools in the topic of multimodal mobility and urban design with potential links to urban microclimate and energy modelling.
  • Your work will be driven by AIT’s computational urban planning workflow design within the framework of the City Intelligence Lab.
  • Within this PhD framework programme, you will have the opportunity to get a training in scientific work and to develop both personally and professionally.
  • You will engage in independent scientific planning, execution and evaluation of studies, scientific preparation of results and publish your research results at conferences and in international journals.
  • You benefit from a highly innovative environment in the field of digital resilient cities, flat hierarchies, and a great room for creative maneuver.


Your qualifications as an Ingenious Partner:


  • Completed master’s studies (MSc.) in computer science, transport engineering, mathematics, urbanism, or related fields.
  • Proven knowledge in artificial intelligence and machine learning applications (e.g., PyTorch, TensorFlow).
  • Familiarity with design computation tools like Grasshopper for Rhino3D and experience in GIS would be an advantage.
  • Excellent programming skills for instance, Python, R, Java, C#, etc.
  • Very good English language and presentation skills are essential, German language skills are an asset



What to expect: 

EUR 32.204,2 gross per year, for 30 hours / week based on the collective agreement. In addition to numerous events, seminars and networking opportunities, there will be additional company benefits. As a research institution, we are familiar with the supervision and execution of PhD theses, and we are looking forward to supporting you accordingly! 

 



At AIT diversity and inclusion are of great importance. This is why we strive to inspire women to join our teams in the field of technology. We welcome applications from women, who will be given preference in case of equal qualifications after taking into account all relevant facts and circumstances of all applications. 


Please submit your application documents including CV, cover letter and certificates online. 


For further information please contact: 

Dr. Stefan Seer, stefan.seer(at)ait.ac.at





AIT Austrian Institute of Technology



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No deadline
Location: Austria, Vienna
Categories: AI, Artificial Intelligence, Computer Engineering, Computer Sciences, Mathematics, PhD, project engineer,

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