Huidige banen gerelateerd aan PhD Position Explainable Decision Support for Urban Climate Extremes - Delft - Delft University of Technology


  • Delft, Nederland TU Delft Voltijd

    PhD Position Explainable Decision Support for Urban Climate Extremes- Job description Increasing heat stress and environmental degradation affect urban lives and livelihoods across Europe and globally. Environmental injustice and climate change often affect the poorest, and extreme weather patterns cause billions of losses. While digital twins offer the...


  • Delft, Nederland TU Delft Voltijd

    PhD Position Explainable Reinforcement Learning for Maintenance Planning under Uncertainty- Improve safety in aviation by developing explainable AI systems that optimize maintenance planning under uncertainty. Job description The goal of this PhD is to harness the power of Reinforcement Learning (RL) to enhance air transport planning under uncertainty. It...


  • Delft, Nederland TU Delft Voltijd

    PhD Position on Data Assimilation for Scenario Forecasting of Urban Heat- **_Challenge: Reducing urban heat requires realistic forecasts of atmospheric circulation_** **_ Change: Developing an innovative nonlinear data assimilation strategy for urban atmosphere with applicability to other earth systems._** **_ Impact: This method will allow optimisation of...


  • Delft, Nederland TU Delft Voltijd

    PhD position in Agent-Based Modelling of Urban Economic Segregation- Job description Economic resources (e.g. wealth and income) are distributed unevenly among people and in space: within cities and between cities, people and resources are concentrated and segregated. Economic inequality and urban segregation are considered top priority challenges by the...


  • Delft, Zuid-Holland, Nederland TU Delft Voltijd

    Job DescriptionWe are seeking a PhD candidate to join our research team at TU Delft, focusing on climate adaptation for the Wadden Sea. The successful candidate will contribute to the development and evaluation of measures to mitigate the effects of climate change on this unique ecosystem.Key ResponsibilitiesConduct research on coastal morphodynamics and its...


  • Delft, Nederland TU Delft Voltijd

    PhD position Sequential Decision Making- Job description **Requirements**: - Hold a master's degree in computer science, mathematics, physics, or a related discipline. - Demonstrate eagerness to tackle complex mathematical challenges. - Have proficiency in both written and spoken English. - Knowledge of machine learning, statistics and...


  • Delft, Nederland TU Delft Voltijd

    PhD Position Value-Based Assessment Methods for AI Systems- **Challenge**: Developing and operationalizing value-based assessment methods for AI systems. **Change**: Driving validation of AI systems to ensure that only trustworthy models are used. **Impact**: Enhancing police trustworthiness through AI alignment at the Dutch National Police. Job...


  • Delft, Nederland TU Delft Voltijd

    PhD Position Extreme-scale Simulations of Forced Convective Turbulence over Complex Surfaces- Job description As the impact of global warming on extreme weather events, including droughts, heat waves, unhealthy pollution levels, as well as storms and extreme precipitation, are presenting themselves already, there is an increasing need to understand and...


  • Delft, Nederland TU Delft Voltijd

    PhD Position Effective Metadata Management for Data-Driven Plant Resilience Enhancement- **_Join us in advancing the frontier of plant sciences and making a tangible impact on agricultural resilience through the power of machine learning!_** Job description This exciting opportunity will involve analyzing the research gaps for establishing effective...


  • Delft, Nederland TU Delft Voltijd

    PhD Position Turbulent Distortion Study for Interaction Noise Prediction- **_ERC Consolidator MORASINA_** Job description Turbulence distortion analysis of a rotor interacting with lifting surface **Requirements**: - good analytical skills and a strong interest in performing experiments is required. - a solid knowledge of signal processing and...


  • Delft, Nederland TU Delft Voltijd

    PhD Position Physics-Aware Foundation Models for Climate Research- Job description This PhD project will address the following fundamental challenges on how to achieve this for practical large-scale systems.: - Developing a large-scale physically consistent FM: You will integrate atmosphere, surface, and subsurface earth observations to develop FMs for...


  • Delft, Nederland TU Delft Voltijd

    PhD Position in Activating History and Heritage of Amsterdam's Bridges and Quaywalls for Sustainable Development and Protection- Join the Chair History of Architecture and Urban Planning, TU Delft to analyze Amsterdam’s quaywalls and bridges as part of the World Heritage site Amsterdam. Job description The UNESCO Chair Water, Ports and Historic Cities of...


  • Delft, Zuid-Holland, Nederland TU Delft Voltijd

    Job DescriptionAt TU Delft, we are seeking a highly motivated PhD researcher to contribute to the development of value-based assessment methods for AI systems. As a PhD student in this project, you will investigate the standards and values surrounding AI usage, particularly concerning openly available models. You will research which values AI systems need to...


  • Delft, Nederland TU Delft Voltijd

    PhD Position Assesment Methods for Perpetual Recycling of Asphalt Concrete- **_Develop the fundamental background for perpetual recycling and sustainable future pavements._** Job description Ensuring sustainable future roads requires perpetual, effective recycling of asphalt concrete. So far, recycling in pavement engineering is practice driven and as such...


  • Delft, Nederland TU Delft Voltijd

    PhD Position Impact of Demographic and Societal Developments on Police Operations- Teaser **_Challenge_**_: Developing models geared to decision-making under deep uncertainty._ **_ Change_**_: Leveraging different scopes in system dynamics modelling._ **_ Impact_**_: Enabling decision-making geared to long-term police strategies and policies._ Job...


  • Delft, Nederland TU Delft Voltijd

    PhD Position Acoustic Model for Interaction Noise based on Flow Distortion- **_ERC Consolidator MORASINA_** Job description Acoustic modeling of the turbulence distortion of a rotor interacting with lifting surface. **Requirements**: - good analytical skills and a strong interest in performing experiments is required. - a solid knowledge of signal...


  • Delft, Nederland TU Delft Voltijd

    Postdoc Modelling of Aviation's Climate Impact for Eco-efficient Flight Trajectory- **_Challenge: Develop a climate model that enables climate optimized flight trajectories to be achieved at robust manner._** **_ Change: Improve the current climate model with broadening their geographical coverage and incorporating associated weather uncertainties._** **_...


  • Delft, Zuid-Holland, Nederland TU Delft Voltijd

    Negotiations and Deliberations Research OpportunityNegotiations and deliberations involve understanding and managing interpersonal dynamics, relationships, motivations, and navigating conflicts. While there has been much existing research in building negotiating agents, there remains a gap to integrate situated understanding of human behaviors and how these...


  • Delft, Nederland TU Delft Voltijd

    PhD Position Safe Learning for Interconnected Systems- Job description The successful applicants will work on algorithms and techniques to make Safe Learning (SL) for Large Interconnected Systems a reality. This is a unique opportunity to develop and test new AI techniques for complex interconnected systems, such as those in future (6G and beyond)...


  • Delft, Nederland Delft University of Technology Voltijd

    Job description As the impact of global warming on extreme weather events, including droughts, heat waves, unhealthy pollution levels, as well as storms and extreme precipitation, are presenting themselves already, there is an increasing need to understand and predict extreme events as a result of global climate change. This is especially relevant for urban...

PhD Position Explainable Decision Support for Urban Climate Extremes

1 maand geleden


Delft, Nederland Delft University of Technology Voltijd
Job description

Increasing heat stress and environmental degradation affect urban lives and livelihoods across Europe and globally. Environmental injustice and climate change often affect the poorest, and extreme weather patterns cause billions of losses. While digital twins offer the opportunity to put advances in science and technology to use for improved decision making for climate- and hazard preparedness, a gap is in translating the modelling results into contextualised decision support that takes into account the cognitive and behavioural aspects of decision-making.

One important barrier for the application of decision models for urban planning is that the many (moral) dilemmas that policy-makers face often remain unaddressed. These dilemmas include how to take into account the distributive impacts of a decision or the trade-offs between short- and long-term implications. Often, especially hard to quantify aspects such as quality of life in a city are neglected in favour of quantitative measures such as cost. In addition, efforts to make complex models or multiple scenarios palatable to decision-makers often lead to over-simplification or over-fitting, neglecting important nuances and trade-offs. Finally, while many decisions in practice are made in groups, models and efforts to establish explainable tools often focus on supporting a single decision-maker. What is missing are systematic approaches that (a) allow groups of decision-makers explore moral dilemmas within urban climate problems; and (b) systematic approaches that balance the complexity of the model results and scenarios with the decision context.

The aim of this PhD is to develop the decision support approaches and tools to ensure that the dilemmas and trade-offs in urban climate extremes can be adequately addressed and explained by digital twins. The selected candidate will lead the development of both the theoretical aspects of the decision support framework and tools that capture the preferences of groups of heterogeneous decision-makers and allow them to explore a range of scenarios. The candidate will also work in close partnership with our two pilot cities (Antwerp and Barcelona) to co-create and empirically test the models and their explainability. You will especially analyse the role of taboo trade-offs and inequalities using welfare economics approaches, and test how these results can be made explainable in heterogeneous groups. The outcome of this PhD is an improved understanding how urban heat and air quality can be formalized and modelled, including moral dilemmas across a range of scenarios. This will inform innovative solutions that can help mitigate these impacts. At the same time, the Urban Air project is a part of Destination Earth, and the approaches and tools developed can inform the decision support of the DestinE platform more broadly.

We seek a candidate who is keen to learn and utilise methods that bridge formal decision analysis models and digital twins with empirical-behavioural work. The candidate will work with data and approaches from across disciplines, for instance geospatial modelling techniques (e.g., digital twins for urban heat and air quality), explainable AI, preference modelling, and empirical problem structuring sessions with stakeholders. The decision modelling framework will be developed for initially two case study partners in Antwerp and Barcelona, but also shared with the broader consortium. The two climate extremes that we will be investigating are urban heat and deteriorating air quality.

This PhD position is embedded in the EU project Urban Air with almost 20 partners across Europe from academia, policy and practice. Within Urban Air, we pursue an ambitious and extensive programme that considers climate change, urban planning and digital Requirements

The potential PhD candidate is expected to have:

  • A Master’s degree (or nearly finished) in Engineering, Economics, Computer Science, Statistics/Mathematics, Policy Analysis, or a related field (essential).
  • Experience working with empirical datasets, models and (geospatial) programming skills (e.g. preferably Python or R) (essential).
  • Excellent study results and excellent command of English (essential).
  • Strong motivation to do scientific research on urban analytics and especially equity and moral aspects of heat and air quality (essential).
  • A willingness to work in a multidisciplinary research environment, and interest to conduct empirical research with stakeholders and communicate results to policymakers (essential).
  • A demonstrable interest in, or knowledge of, integrating problem structuring techniques and different preferential models or xAI within quantitative modelling frameworks (desirable).

    The project will start in January 2025, and the ideal candidate will be able to start in early 2025.

    Doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate is able to communicate and interact well, participate in English-taught Doctoral Education courses, and write scientific articles and a final thesis. Conditions of employment

    Doctoral candidates will be offered a 4-year period of employment in principle, but in the form of 2 employment contracts. An initial 1,5 year contract with an official go/no go progress assessment within 15 months. Followed by an additional contract for the remaining 2,5 years assuming everything goes well and performance requirements are met.

    Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from € 2872 per month in the first year to € 3670 in the fourth year. As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills.

    The TU Delft offers a customisable compensation package, discounts on health insurance, and a monthly work costs contribution. Flexible work schedules can be arranged.

    For international applicants, TU Delft has the Coming to Delft Service. This service provides information for new international employees to help you prepare the relocation and to settle in the Netherlands. The Coming to Delft Service offers a Dual Career Programme for partners and they organise events to expand your (social) network. TU Delft (Delft University of Technology)

    Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.

    At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.

    Challenge. Change. Impact Faculty Technology, Policy and Management

    The Faculty of TPM provides an important contribution to solving complex technical-social issues, such as energy transition, mobility, digitalisation, water management and (cyber) security. TPM does this with its excellent education and research at the intersection of technology, society and policy. We combine insights from both engineering and social sciences as well as the humanities. TPM develops robust models and designs, is internationally oriented and has an extensive network of knowledge institutions, companies, social organisations and governments.