PhD Position in Spatio-Temporal Multi-Criteria Decision Analysis for Informed Decision-Making 100 %

ZHAW - Zürcher Hochschule für Angewandte Wissenschaften • 💯 Vollzeit • 8400, Winterthur, Kanton Zürich, Schweiz • vor 16h

Are you passionate about decision support systems, digitalization, and GIS-based modeling? Do you want to contribute to developing a cutting-edge digital tool for real-world decision-making? Take a look at this opportunity!

School:

School of Engineering

Starting date:

01.06.2026 or by agreement

Your role

The advertised PhD position is part of the ZHAW Digital Fellowship project “Innovative Spatio-Temporal Multi-Criteria Decision Analysis Interface to Support Informed Decision-Making for Real-World Applications (InSTIM).” The project focuses on developing a digital Decision Support Tool (DST) that integrates Geographic Information Systems (GIS), advanced computational techniques, and data analytics to assist decision-makers in managing dynamic and complex challenges. In close collaboration with Institute of Environmental Sciences (CML) at Leiden University, the PhD will benefit from joint supervision and a shared research setup, combining ZHAW's expertise in applied decision-support development with Leiden's methodological and academic strengths in the field. Eligibility: Applicants must hold an EU/EFTA passport. Your main responsibilities will be:

Developing a spatio-temporal Multi-Criteria Decision Analysis (MCDA) framework to structure and analyze complex decision problems.
Integrating uncertainty modelling into the MCDA framework.
Implementing and optimizing data integration methods to enhance decision-making accuracy.
Designing and coding decision-support algorithms for ranking, sorting, and clustering alternatives.
Translating the MCDA framework into an intelligible and user-friendly Decision Support Tool (DST).
Applying and validating the DST through case studies.
Engaging with stakeholders, collecting feedback, and refining the tool's usability and effectiveness.
Presenting and publishing research results at international conferences and in peer-reviewed journals.

Your profile

You have a Master's degree in a relevant field such as Engineering, Computer Science, Applied Mathematics, Physics, Geoinformatics, or a related discipline.
You have experience in, or a strong interest in, Multi-Criteria Decision Analysis (MCDA), GIS-based modeling, and/or spatio-temporal analytics.
You have strong programming skills in Python, R, or a similar language (experience with GIS libraries is a plus).
Knowledge of geostatistical analysis or temporal data analysis is an advantage.
You are able to work both independently and collaboratively in an interdisciplinary research environment.
You have excellent written and oral communication skills in English.
Applicants must hold an EU/EFTA passport.

This is what we stand for

Zurich University of Applied Sciences ZHAW is one of Switzerland's largest multidisciplinary universities of applied sciences, with over 14'000 students and 3'400 faculty and staff. ZHAW is committed to gender-mixed and diverse teams in order to promote equality, diversity and innovation. In order to increase the proportion of women in management positions, applications from women are particularly welcome. We are also committed to a barrier-free university. We therefore motivate people with disabilities to apply. The interdisciplinary Institute of Sustainable Development (INE) at the School of Engineering (SoE) examines technological, economic, and social changes, along with their complex interactions, from a sustainability perspective. The Risk Management/Technology Assessment team conducts research in resilience engineering, technology assessment, circular economy, and sustainability.

What you can expect

We offer working conditions and terms of employment commensurate with higher education institutions and actively promote personal development for staff in leadership and non-leadership positions. A detailed description of advantages and benefits can be found at Working at the ZHAW. The main points are listed below:

Contact

Matteo Spada Senior Researcher

Irina Keiser Recruiting Manager

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