Huidige banen gerelateerd aan PhD Physics-Enhanced Machine Learning for Resilient Railway Infrastructures - Delft, Zuid-Holland - Delft University of Technology
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Delft, Zuid-Holland, Nederland TU Delft VoltijdJob DescriptionWe are seeking a highly motivated PhD student to join our research team in the field of affective computing. The successful candidate will work on developing data-efficient machine learning approaches for context-sensitive affect prediction.Research ObjectivesThe PhD project aims to explore the context-sensitivity of data-driven approaches for...
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PhD Decentralised Machine Learning Researcher
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Delft, Zuid-Holland, Nederland Technische Universiteit Delft (TU Delft) VoltijdTransform the Internet into a Global BrainAt Technische Universiteit Delft (TU Delft), we're pushing the boundaries of machine learning by developing a fully decentralised video search engine. As a PhD candidate, you'll play a crucial role in eliminating the need for servers and harnessing the massive computing power available. Your research will focus on...
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PhD Decentralised Machine Learning Researcher
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Delft, Zuid-Holland, Nederland Technische Universiteit Delft (TU Delft) VoltijdTransforming the Internet into a Global BrainWe are seeking a highly motivated PhD candidate to join our team at TU Delft's Tribler Lab, where we are working on a groundbreaking project to develop a fully decentralised video search engine. This innovative project aims to eliminate the need for servers in machine learning, harnessing the massive computing...
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Delft, Zuid-Holland, Nederland TU Delft VoltijdJob DescriptionWe are seeking a highly motivated PhD student to join our research team in the area of affective computing. The successful candidate will work on developing data-efficient machine learning approaches for context-sensitive affect prediction from human behavior.The project aims to explore the context-sensitivity of data-driven approaches for...
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Delft, Zuid-Holland, Nederland TU Delft VoltijdJob DescriptionWe are seeking a highly motivated PhD candidate to join our research team at TU Delft. The successful applicant will work on developing novel frameworks and learning approaches that integrate human behavior modeling to support decision-making in real-life scenarios.The project focuses on leveraging multimodal data, including video and audio,...
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Delft, Zuid-Holland, Nederland TU Delft VoltijdJob DescriptionWe are seeking a highly motivated PhD student to join our research team in the area of affective computing. The successful candidate will work on developing data-efficient machine learning approaches for context-sensitive affect prediction.The project aims to explore the context-sensitivity of data-driven approaches for affect prediction from...
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PhD Position in Innovative Pavement Materials Characterization
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Delft, Zuid-Holland, Nederland TU Delft VoltijdJob DescriptionPhD Position in mmWave Radar and Machine Learning for Privacy-Aware Monitoring SystemsWe are seeking a highly motivated PhD researcher to join our team at TU Delft to work on a PhD project that focuses on designing privacy-preserving monitoring systems using mmWave radars and machine learning. The project aims to develop a system that monitors...
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Delft, Zuid-Holland, Nederland TU Delft VoltijdJob DescriptionWe are seeking a highly motivated PhD candidate to join our research team at TU Delft. The successful applicant will work on developing novel frameworks and learning approaches that integrate human behavior modeling to support decision-making in real-life scenarios.The project focuses on negotiations and deliberations between stakeholders in...
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PhD Position in Innovative Pavement Materials Characterization
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Delft, Zuid-Holland, Nederland TU Delft VoltijdJob DescriptionAs a PhD researcher in the Pavement Engineering section at TU Delft, you will be part of a larger research program focused on developing sustainable pavement materials and technologies. Your project will focus on understanding the applicability of existing bitumen and mixture assessment tools for alternative materials, with a focus on Warm Mix...
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Delft, Zuid-Holland, Nederland TU Delft VoltijdJob Description TU Delft is seeking a PhD researcher to work on a project that aims to design privacy-aware monitoring systems using mmWave radars and machine learning. The project is a joint collaboration with Signify, a leading Dutch company. The PhD researcher will focus on developing a system that monitors a given area in a privacy-preserving manner,...
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Delft, Zuid-Holland, Nederland TU Delft VoltijdJob DescriptionWe are seeking a highly motivated PhD researcher to join our team at TU Delft to work on a project that combines mmWave radar and machine learning to design privacy-aware monitoring systems. The goal of this project is to develop a system that can monitor a given area without compromising individual privacy.The project will involve the design...
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Delft, Zuid-Holland, Nederland TU Delft VoltijdJob DescriptionNegotiations and deliberations involve understanding and managing complex interpersonal dynamics, relationships, motivations, and navigating conflicts. To bridge the gap between existing research in building negotiating agents and situated understanding of human behaviors, we are seeking a PhD candidate to leverage information gathered pre-...
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Delft, Zuid-Holland, Nederland TU Delft VoltijdNegotiations 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...
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PhD Position in Data Assimilation for Urban Climate Modeling
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Delft, Zuid-Holland, Nederland TU Delft VoltijdJob DescriptionThe Geoscience and Engineering department of TU Delft is seeking a PhD candidate to contribute to the interdisciplinary project UrbanAIR. This project aims to develop an improved data assimilation strategy for application in the urban atmosphere, which can also be applied in other complex systems.As a PhD student, you will work closely with...
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Delft, Zuid-Holland, Nederland TU Delft VoltijdJob DescriptionAs a PhD researcher at TU Delft, you will be part of a team investigating monitoring platforms that prioritize privacy. Our goal is to design a system that monitors a given area without compromising individual privacy. We aim to achieve this by leveraging mmWave radars and machine learning techniques.Key Responsibilities:Design and develop a...
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PhD Position in Data Assimilation for Urban Climate Modeling
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Delft, Zuid-Holland, Nederland TU Delft VoltijdJob DescriptionThe Geoscience and Engineering department of TU Delft is seeking a PhD candidate to contribute to the interdisciplinary project UrbanAIR. This project aims to develop an improved data assimilation strategy for application in the urban atmosphere, which can also be applied in other complex systems.As a PhD student, you will work closely with...
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PhD Researcher in Formal AI Verification and Explainability
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PhD Physics-Enhanced Machine Learning for Resilient Railway Infrastructures
3 maanden geleden
Resilient railway infrastructure is vital for ensuring safe, reliable, and sustainable transportation services. However, maintaining infrastructure resilience amidst emerging challenges is essential. These challenges include mitigating the impact of extreme weather events and natural disasters, addressing ageing infrastructure, optimizing maintenance schedules to minimize disruptions, enhancing safety measures to prevent accidents, and adapting to changing operational demands and technological advancements. Overcoming these challenges requires interdisciplinary approaches that integrate cutting-edge technologies, such as physics-enhanced machine learning, with traditional engineering expertise to endure, predict, prevent, and respond to potential threats to railway resilience effectively.
This project aims to improve the resilience of railway infrastructures by leveraging physics-enhanced machine learning. You will integrate state-of-the-art physics knowledge that governs infrastructure mechanics and dynamics with the big data from infrastructure monitoring systems. You will develop innovative physics-enhanced machine learning algorithms and models to address risks and uncertainties associated with the operational and environmental conditions of railway infrastructures. As part of this project, you will engage with railway infrastructure managers to validate your proposed solutions for resilience improvement.
As a PhD student, you will be a member of the Railway Engineering Section in close cooperation with the Delft Center for Systems and Control and the Dutch Railway Infrastructure Manager, ProRail. Railway is the backbone of sustainable mobility. The section of Railway Engineering deals with the physical assets of the railway system, including trains, power supply systems, track, as well as the interfaces and dynamic interactions between them. The research, innovation, development and education of the section concern the whole life cycle of the assets, from design, construction, operation, degradation, monitoring, maintenance to retrofit, as well as the data-driven intelligent management of the assets, taking into consideration of the performance of the whole railway system. The section plays a leading role in the TU Delft Rail Institute (DelftRail).
The Department of Engineering Structures focuses on the development of resilient, smart and sustainable structures and infrastructures. Our aim is to meet societal demands in transportation, the energy transition and sustainable reuse. Research themes include dynamics of structures, mechanics of materials related to e.g. climate change, modelling and design of railway systems, multi-scale modelling of pavement materials and structures, reuse of materials, structures and parts of structures, assessment methods for structures, smart monitoring techniques, design methods, replacement and renovation of civil infrastructure and development of new materials and maintenance techniques. Our unique Macro Mechanics Laboratory facilities support full-scale testing, monitoring and modelling of structures to facilitate implementation of innovations. The department delivers both groundbreaking research and world-class education for undergraduate and graduate students. As a team, we represent different backgrounds, skills and views. We foster an inclusive culture, as our combined identities, attitudes and ambitions widen our perspective and make up our strengths..
We are looking for an excellent candidate with the following qualifications, knowledge and skills:
- A master's degree in Civil Engineering, Computer Science, Mechanical Engineering, Applied Mathematics, or a relevant domain.
- Good programming skills, preferably in Python.
- Affinity for some of the following fields is a plus: machine learning, civil infrastructures under extreme conditions and railway engineering.
- Self-motivated, curiosity-driven, and open to communicating and collaborating with peers.
- Excellent command of English, both verbally and in writing.
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 € 2770 per month in the first year to € 3539 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 Civil Engineering & Geosciences
The Faculty of Civil Engineering & Geosciences (CEG) is committed to outstanding international research and education in the field of civil engineering, applied earth sciences, traffic and transport, water technology, and delta technology. Our research feeds into our educational programmes and covers societal challenges such as climate change, energy transition, resource availability, urbanisation and clean water. Our research projects are conducted in close cooperation with a wide range of research institutions. CEG is convinced of the importance of open science and supports its scientists in integrating open science in their research practice. The Faculty of CEG comprises 28 research groups in the following seven departments: Materials Mechanics Management & Design, Engineering Structures, Geoscience and Engineering, Geoscience and Remote Sensing, Transport & Planning, Hydraulic Engineering and Water Management.
