Scientific Collaborator - Winterthur, Schweiz - ZHAW Zürcher Hochschule für Angewandte Wissenschaften

ZHAW Zürcher Hochschule für Angewandte Wissenschaften

Geprüftes Unternehmen

Winterthur, Schweiz

vor 1 Woche

Geschrieben von:

Lena Schneider

beBee Recruiter

Beschreibung

This research position focuses on simulation of building and communal energy systems, thermal energy storage and their integration in district heating networks in an interdisciplinary collaboration of researchers and Swiss industry partners.

School:
School of Architecture, Design and Civil Engineering

Your role*:

We offer a time-limited position until end of 2027, with the possibility for extension, as a scientific collaborator with research focus on simulation of building and communal energy systems.

The position is part of the Innosuisse Flagship project "SwissSTES - Swiss Seasonal Thermal Energy Storage Action Plan and Implementation" and other related research projects.

Your work includes the following responsibilities:

Supporting ongoing research in building and urban energy systems simulation, including seasonal thermal energy storage (STES) and district heating networks
Performing building energy systems and thermal network simulations
Thermal energy system optimization, exploring component sizing and control strategies
Performing spatial, multicriteria analysis (GIS) for identification of renewable energy and thermal storage potentials
Data handling and automatization of workflows, categorization/clustering
Taking over/supporting project lead
Writing technical/project reports
Authoring/coauthoring articles in scientific journals
Supporting the acquisition of research projects / proposal writing

Your profile*:

We are looking for a widely interested and open-minded person who likes to work in an interdisciplinary team, at the interface between building systems, architecture and construction.

Master degree in engineering, physics or related fields with knowhow in building/urban energy systems
A PhD in a related field is recommended
Good mathematical modelling skills
Expertise in conducting energy demand simulation at various scales, from individual buildings to the district level, using both topdown and bottomup approaches
Experience in processing climate scenarios and weather data from different sources
Experience in scripting/programming in Python,...
Experiences with GIS analysis and datadriven methods is desired (understanding of clustering and spatial interpolation algorithms)
Experiences with district heating systems is a plus
Fluency in English oral and written, German level B1 and above desired