Phd Position Machine Learning for Human Behaviors

2 maanden geleden


Delft, Nederland TU Delft Voltijd

PhD position Machine learning for Human Behaviors in Negotiations and Deliberations-
Job description

Negotiations 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 could affect negotiation and deliberation outcomes. What could be perceived from people’s interaction and communication patterns as well as decision-making across the negotiation and deliberation process? One solution is to leverage information gathered pre
- and post
- interaction, as well as multimodal data during the interaction process. As a member of this project, you will do research in the pipeline of multimodal machine perception and decision-making from data collection, annotation, algorithm and model design, to evaluation. The team you would join is a multi-disciplinary team, in which everyone is encouraged to take initiatives and progress in the work is achieved by shared ownership.

This project is part of a larger Groeifond consortium (Oncode Accelerator) which focuses on drug development and cancer research. This project is part of a work package that researches negotiations and deliberations between stakeholders in research and potentially clinical settings. This project aims to develop novel frameworks and learning approaches that integrate human behavior modeling to support decision-making in real-life scenarios.

The successful applicant will develop computational methods to model human behaviors using multimodal data - video and audio (e.g., speech and paralinguistics data), and to generate insights and feedback for descision-making, specifically for negotiation and deliberations in real-life situated settings.

**Requirements**:
We are looking for applicants who have or expect to receive a Master's degree before joining the project. Relevant topics include multimodal machine learning, affective computing, natural language processing, and reinforcement learning. Experience in some of the related fields is preferred: audio and speech processing, computer vision, machine learning, and pattern recognition. As this project is interdisciplinary, having general interests and affinity in human-computer interaction, social science, and psychology is recommended.

Conditions of employment

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.

Challenge. Change. Impact

Faculty Electrical Engineering, Mathematics and Computer Science

The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three scientific disciplines. Combined, they reinforce each other and are the driving force behind the technology we all use in our daily lives. Technology such as the electricity grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment - which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. In other words: there is plenty of room at the faculty for ground-breaking research. We educate innovative engineers and have excellent labs and facilities that underline our strong international position. In total, more than 1000 employees and 4,000 students work and study in this innovative environment.

Click here to go to the website of the Faculty of Electrical Engineering, Mathematics and Computer Science.

Additional information

Application procedure

Applications will be reviewed on a rolling basis.
- A pre-employment screening can be part of the selection procedure.
- Please do not contact us for uns



  • 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 Data-Efficient Machine Learning for Context-Sensitive Affective Computing- **_Challenge: Explore context-sensitivity of affect detection and data-efficient algorithms addresssing it._** **_ Impact: Increased performance and robustness in real-world settings (e.g. healthcare)._** Job description We seek a PhD student interested in working with...

  • Phd Position Distributed

    5 maanden geleden


    Delft, Nederland TU Delft Voltijd

    PhD Position Distributed & Adaptive Radar for Human wellbeing Monitoring- Job description We seek a motivated PhD student to work on a 4-year NWO funded project called DARE (Distributed and Adaptive Radar for Enhanced Sensing and Classification). The goal of this project is to work towards transitioning radar from a conventional stand-alone sensor to an...


  • 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, Zuid-Holland, Nederland TU Delft Voltijd

    PhD Position in Human-Technology InteractionWe are seeking a highly motivated PhD candidate to join our research team in the project "Disconnected: Assessing the Effects of Technology on Youth Loneliness". The project aims to investigate the impact of technology on loneliness in young adults and to develop new technological solutions to mitigate this...


  • Delft, Zuid-Holland, Nederland TU Delft Voltijd

    Job 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...


  • 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 Technische Universiteit Delft (TU Delft) Voltijd

    PhD Decentralised Machine Learning 36-40 hours per week Challenge : Developing and building a fully decentralised video search engine.Change : Eliminating the need for servers when developing machine learning.Impact : Safe machine learning benefiting billions of users.Job description Billions of mobile devices mean unprecedented computing power and a surge...


  • Delft, Zuid-Holland, Nederland TU Delft Voltijd

    Job DescriptionPhD Position Safe Learning for Interconnected SystemsWe are seeking a highly motivated PhD researcher to work on developing algorithms and techniques for Safe Learning (SL) in Large Interconnected Systems. This is a unique opportunity to contribute to the development of the next generation of AI tools that are safe, robust, and prompt in...


  • 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 TU Delft Voltijd

    PhD Position Application of Machine Learning to Wind Resource Assessment- Job description This PhD is part of the EU MSCA Doctoral Network TWEED whose overarching objective is to train the next generation of excellent researchers, equipped with a full set of technical and complementary skills, to develop high-impact careers in wind energy...


  • Delft, Zuid-Holland, Nederland Technische Universiteit Delft (TU Delft) Voltijd

    Transforming 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...


  • 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, Zuid-Holland, Nederland TU Delft Voltijd

    Job 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,...


  • Delft, Zuid-Holland, Nederland TU Delft Voltijd

    Job 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...


  • Delft, Zuid-Holland, Nederland TU Delft Voltijd

    Job Description TU Delft is seeking a highly motivated PhD candidate to work on a project focused on scalable graph learning. The project aims to identify the trade-offs between combinatorial and neural-network-based approaches in the Graph ML space. The successful candidate will have the opportunity to contribute to the development of novel graph learning...


  • Delft, Nederland TU Delft Voltijd

    PhD Position Exploiting mmWave Radars and Machine Learning to Design Privacy-Aware Monitoring Systems- PhD position on Embedded Systems & Machine Learning. Job description Your research goal will be to create a system that monitors a given area but in a privacy-preserving manner (without using cameras). Monitoring is central to the efficient and safe...


  • Delft, Nederland TU Delft Voltijd

    PhD Position Scalable Graph Learning- Job description A key objective of this project is to identify the trade-offs between combinatorial and neural-network-based approaches in the Graph ML space. We aim to combine and unify combinatorial algorithms and GNNs based on linear-algebra-based primitives, and achieve more efficient and scalable solutions. Our...


  • Delft, Nederland TU Delft Voltijd

    PhD Position Human-Centred AI for Crisis Management- **_Design human-centred AI for effective information sharing in crisis management_** Job description **Requirements**: You are a highly motivated and enthusiastic researcher with the ambition to conduct high-quality interdisciplinary research that pushes the boundaries of human-centred AI research in...


  • Delft, Nederland TU Delft Voltijd

    PhD Position Enhancing Plant Resilience through Biologically-Inspired Machine Learning- 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 The project is part of the Crop-XR program, a highly collaborative 10-year national initiative of...