/PhD Data-Driven and AI based Control of HVAC and Chemical Systems

PhD Data-Driven and AI based Control of HVAC and Chemical Systems

Antwerpen | More than two weeks ago

For further development of the IDLab wireless cluster, we are looking for a PhD candidate in the domain of Device Free Localization and self-calibrating wireless sensor networks (WSNs).
 

What you will do

  • You will be responsible for conducting a deep academic research on AI based hybrid control algorithms related with HVAC systems used in smart buildings and related with chemical processes. HVAC and chemical systems driven by these algorithms need to satisfy both energy consumption, quality of resulting products (in chemical case) and occupancy comfort expectations (in HVAC case).
  • The valorization of the academic research needs to be conducted to open novel industrial and technological follow-ups.
  • You need to translate the technical requirements of partners to technical challenges, and – together with researchers – define clear methodologies for addressing them.
  • You follow up on progress for the PhD-thesis and communicate with other academic partners and adapt where needed.
  • You will be a member of the IDLab academic team, going forward in implementing research projects.
  • You develop project proposals to expand your current academic studies with more follow-up studies and projects.
  • You interface and collaborate on a technical level with research partners from industry and academia.
  • You will participate in the framework of international and national research projects (in collaboration with industry).

IDLab Antwerp

  • The Internet & Data Lab (IDLab) is an imec research group at the University of Antwerp and Ghent University. IDLab focuses its research on internet technologies and data science. IDLab is a joint research initiative between Ghent University and the University of Antwerp. Bringing together 300 internet experts, we develop technologies outperforming current solutions for communication subsystems, high speed and low power networking, distributed computing and multimedia processing, machine learning, artificial intelligence and web semantics. Within Antwerp, the overall IDLab research areas are machine learning and wireless networking.  IDLab has a unique research infrastructure used in numerous national and international collaborations.
  • IDLab collaborates with many universities and research centres worldwide and jointly develops advanced technologies with industry (R&D centers from international companies, Flanders’ top innovating large companies and SME’s, as well as numerous ambitious startups).

Who you are

  • You will be responsible for conducting a deep academic research on AI based hybrid control algorithms related with HVAC systems used in smart buildings and related with chemical processes. HVAC and chemical systems driven by these algorithms need to satisfy both energy consumption, quality of resulting products (in chemical case) and occupancy comfort expectations (in HVAC case).
  • The valorization of the academic research needs to be conducted to open novel industrial and technological follow-ups.
  • You need to translate the technical requirements of partners to technical challenges, and – together with researchers – define clear methodologies for addressing them.
  • You follow up on progress for the PhD-thesis and communicate with other academic partners and adapt where needed.
  • You will be a member of the IDLab academic team, going forward in implementing research projects.
  • You develop project proposals to expand your current academic studies with more follow-up studies and projects.
  • You interface and collaborate on a technical level with research partners from industry and academia.
  • You will participate in the framework of international and national research projects (in collaboration with industry).

Interested?

If you are interested in this position, please apply at: https://jobs.idlab.uantwerpen.be/o/phd-vacancy-for-datadriven-and-ai-based-control-of-hvac-and-chemical-systems
Questions concerning the position can also be sent to hanne.everts@uantwerpen.be.

 

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