The Digital Water Systems research group (https://www.tu.berlin/en/swn/) investigates how digital technologies can support urban water management and modelling and management of human-water systems. Our research mission is developing data-informed and transferrable algorithms and sensor-based technologies that support sustainable, cost-effective, and just decision making, climate adaptation, awareness, and sustainable behavior.

• Conduct literature reviews on water demand modeling, demand-side management, con-servation behavior, agentic modeling frameworks, and decision-support approaches for sustainable urban water management
• Collect, preprocess, and integrate diverse water-use, socio-demographic, climate-related, and policy data to support advanced modeling of current and future water demand
• Develop and evaluate data-driven and AI-based water demand models within an agentic modeling framework to assess demand patterns, conservation behaviors, policy impacts, and transferability across spatial and temporal scales
• Publication of the research outcomes in scientific publications and present findings at international conferences and workshops
• Contributions to existing and new teaching modules combining the domains of data science and water management
• Support with BSc/MSc thesis on topics related to the project main topic

• A successfully completed scientific university degree (Master, Diplom or equivalent) in in Civil or Environmental Engineering, Computer Science, or related fields
• Very good experience in water demand modelling and/or management
• Very good knowledge of and experience with mathematical modelling, statistics, data science and/or machine learning
• Very good programming skills, ideally Python
• Very good experience in retrieving and reviewing scientific literature review
• Experience in water conservation policies
• Experience in writing scientific publications and preparing peer-reviewed documents
• Ability to work independently and collaboratively in interdisciplinary teams desirable
• Very good written and oral language skills in English
• Based in Berlin or willing to move to Berlin desirable
• Background or interest in agent-based modeling desirable
• Experience in co-supervising students’ work is a plus
• Experience with project proposal writing and applications to research grants desirable
• Good written and oral language skills in German desirable

Please send your written application in English only with the reference number and the usual documents (cover letter, CV with final grades, relevant certificates) in one PDF-file via e-mail to Prof. Dr. Andrea Cominola (office-k2@fsd.tu-berlin.de).

By submitting your application via email you consent to having your data electronically processed and saved. Please note that we do not provide a guaranty for the protection of your personal data when submitted as unprotected file. Please find our data protection notice acc. DSGVO (General Data Protection Regulation) at the TU staff department homepage: https://www.abt2-t.tu-berlin.de/menue/themen_a_z/datenschutzerklaerung/.

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.