Research Assistant - salary grade E13 TV-L Berliner Hochschulen

Scientists at the Hermann Rietschel Institute have been researching the energy-efficient use of system technology in buildings and neighborhoods for 140 years. Our research profile aims to minimize the tension between the main topics:

• contamination control,
• indoor Environmental Quality (IEQ) and
• energy-efficient systems engineering in buildings and districts.

Our expertise in the development of physical and AI-supported simulation models as well as the development and maintenance of numerous test laboratories enables us to offer a range of services from basic research to prototype development.

In the research area of building energy systems, the use of renewable energies in HVAC (heating, ventilation, and air conditioning) systems is being investigated with the goal of developing recommendations and guidelines for practical applications.
This is carried out in four steps:

• eeducing the required air volumes and
• lowering pressure losses,
• adapting the energy system to the temporal availability and available temperature levels and
• developing a novel control system to ensure proper operation

We are looking for you to support our team!

We need your support:

• in conducting CFD simulations to determine ventilation effectiveness,
• in the experimental validation of CFD results on the test bench,
• in developing an Al model for ventilation effectiveness trained with CFD results and
• in developing an Al model for determining pressure losses in the duct network and HVAC system.

• successfully completed scientific university degree (Diploma, Master's, or equivalent) , preferably in building technology, data science, or a related field

• at least one of the following three key competencies:
  o strong knowledge in conducting HVAC experiments
  o strong knowledge in performing CFD simulations of indoor airflows
  o experience with Al methods and training supervised Al models

• good knowledge of German and/or English required; willingness to acquire the respective missing language skills

Desirable:

• high motivation and initiative
• strong teamwork and organizational skills
• strong knowledge of HVAC systems
• strong skills in data acquisition and analysis
• good programming skills (ideally in Python)
• excellent computer skills (hardware and software)
• flexibility and interest in new challenges

Your application documents can be sent by e-mail to kontakt@hri.tu-berlin.de or by post, quoting the reference number: Technische Universität Berlin, FG Energie, Komfort & Gesundheit in Gebäuden, Prof. Dr.-Ing. M. Kriegel, Sekr. HL 45, Marchstr. 4, 10587 Berlin.

For cost reasons, the application documents will not be returned. Please submit copies only.

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To ensure equal opportunities between women and men, applications by women with the required qualifications are explicitly desired. Qualified individuals with disabilities will be favored. The TU Berlin values the diversity of its members and is committed to the goals of equal opportunities. Applications from people of all nationalities and with a migration background are very welcome.