Linux Engineer

Als Linux Engineer ontwerp, automatiseer en beheer je de Linux-infrastructuur. Je werkt samen met collega’s aan een stabiele en toekomstbestendige omgeving. Je signaleert verbeterkansen en werkt deze uit tot concrete oplossingen. Je werkt in een team dat kennis actief deelt en samen werkt aan het continu verbeteren van techniek en werkwijzen.

Afhankelijk van jouw ervaring werk je aan:

• Je ontwikkelt en onderhoudt automation met Ansible en Ansible Automation Platform
• Je beheert en optimaliseert Linux-omgevingen (Red Hat en Ubuntu)
• Je ontwerpt, implementeert en beheert Kubernetes-clusters (OpenShift)
• Je zet CI/CD-pipelines op en onderhoudt deze met GitHub Actions
• Je test infrastructure-as-code met tools zoals Molecule voor Ansible
• Je ontwikkelt DevOps-werkwijzen en automation-standaarden verder

Je werkt in het System Team Infrastructuur met circa dertig collega’s en bouwt mee aan een stabiele en toekomstbestendige IT-omgeving volgens agile werkwijzen. In het DevOps-team werk je samen, neem je verantwoordelijkheid en draag je bij aan het continu verbeteren van processen en tooling. Er is ruimte voor innovatie, ontwikkeling en eigen initiatief.

Postdoc Clinical Psychology

The department of Clinical Psychology has a job opening for a postdoctoral position for the project “Emotional Imagery After Loss: Phenomenology, Predictive Value, and Treatment.”

The postdoc will spend 20% of the working hours teaching.

Individuals getting stuck in their grief often experience different types of intrusive imagery—both positive (e.g., memories of cherished moments with the deceased) and negative (e.g., images related to the circumstances of the death). Despite their apparent clinical relevance, little is known about these images. There are, however, strong reasons to assume that their content provides important information about unprocessed aspects of the loss, thereby offering insight into the underlying mechanisms of persistent grief. Moreover, there is growing reason to expect that directly targeting such imagery (e.g., through imagery rescripting) may yield beneficial effects.

In this project, we will examine in detail the content of intrusive images experienced during bereavement, characterize their key features (e.g., vividness, controllability, and associated emotions), and investigate their relationship with the course of grief. We will employ a multimethod approach, including interviews, self-report questionnaires, and ecological momentary assessment (EMA).

The postdoctoral researcher will be responsible for further developing the research plan and exploring how core CPP themes can be integrated into the project (including systemic influences on grief, self-related processes, loneliness, and cultural background). In addition, the postdoctoral researcher will take primary responsibility for the execution of the study. The project involves close collaboration with members of the CPP group, as well as with Prof. Franziska Lechner-Meichsner (University of Wuppertal), who is conducting a parallel, comparable study in Germany.

PhD position in Condensed-Matter Theory of Magnetic Topology

This project consists of a theory-experiment collaboration in which a PhD candidate in Condensed-Matter Theory based at Utrecht University, supervised by Prof. Rembert Duine, collaborates closely with a PhD candidate in Experimental Nanomagnetism, supervised by Prof. Bert Koopmans, based at Eindhoven University of Technology.

In this project, we aim to develop an optical pen using laser-induced magnetization dynamics and switching to write topological magnetic periodic structures that consist for example of skyrmions, topological magnetic whirls in the magnetization. Along the edges of such structures, a topologically-protected fluctuation of the magnetization will propagate without scattering and loss of energy. Such structures could potentially be a novel building block for future computer chips and more sustainable IT technologies.

Your research will be to develop the theory for the dynamics of laser-induced creation of magnetic skyrmions and other magnetic structures. You will also create the theoretical description of magnetic excitations on top of such structures. In doing so, you will develop both analytical theory and perform numerical simulations.

You will collaborate closely with your experimental partner in Eindhoven, exploring opportunities and open questions that arise from the experiments, as well as suggesting new directions for the experiments to explore. You will publish your findings in research articles and by giving talks and presenting posters at national and international research conferences. During the four-year period of the PhD position, you will grow into an independent researcher who can conduct research in a collaborative environment.

Postdoctoral Researcher - Proteomics

The primary objective of this position is to perform experimental proteomics work, including sample preparation and data analysis, and to establish and manage a service infrastructure within the BioMS group, enabling fee-for-service access for external collaborators. You will independently design, plan and perform full projects, followed by the analysis, interpretation and reporting of data and results. You will pro-actively promote proteomics services and acquire new collaborative projects.

The projects will vary in duration, workload, topic and methodology, depending on the request of the collaborator. They will be carried out with both academic and industry partners. You will independently plan and perform projects in a broad area of quantitative proteomics, including plasma proteomics, glycoproteomics and PTM analysis. You will work in a collaborative environment within the BioMS group, liaising with the PIs about the incoming projects and making use of the group’s expertise and technology to execute the projects effectively.

While many of your projects will be initiated by collaborators, there is space and need to take the lead in shaping their direction and to add your own ideas and creativity to each project. You will also assist collaborators with data analysis and structuring results into a paper or other type of output.

In addition to executing the projects, you will maintain the relationships with collaborators and manage the regulatory (IP rights, data safety etc.) and financial aspects of the project. You will collaborate with support staff in the group and within the department, including the Research Support Office (RSO) and financial and legal controllers, to ensure successful execution of projects.

PhD position in AI and Human Centered Decision Making

AI systems increasingly inform decision-making across organisational contexts, yet their representational role remains underexplored. Rather than functioning as neutral tools, algorithmic models translate complex realities into scores, rankings, classifications, and predictions. In doing so, they shape how problems are defined, which options become visible, and how agency is distributed between humans and algorithmic systems.

In this PhD project, you will study AI-supported decision-making from a representational perspective. You will investigate how algorithmic models are designed, how they come to stand in for aspects of the world, and how they are interpreted, contested, and revised in practice. Decision-making is approached as a situated process emerging through the interaction of data, models, professional judgement, and organisational context.

Depending on your interests and empirical setting, the project will involve collaboration with external partners working on applied AI systems. Possible domains include geospatial analytics (for example in collaboration with a startup), as well as decision-support applications in legal and public-sector contexts such as law enforcement or the judiciary. These settings provide opportunities to study how algorithmic representations interact with institutional norms, evidentiary standards, and professional expertise.

Against this background, several research avenues may be explored, depending on your interests and the empirical settings of the project. These may include work on explainable AI (XAI), approached as a socio-technical rather than purely technical challenge, examining how explanations function in practice, how they relate to discretion and accountability, and how AI systems can remain responsive to contextual knowledge in real decision environments. Another possible avenue concerns theorising with data, focusing on how inductive machine learning, deductive modelling, and abductive interpretation interact in practice, and how AI systems participate in cycles of sense-making within organisations. In addition, the project may engage with the role of spatial representations and embeddings, exploring how spatial abstractions and learned representations structure similarity, proximity, and relevance in decision-making processes.

The PhD will be conducted in collaboration with external organisations, providing access to real-world datasets and decision contexts. Throughout the project, you will be encouraged to publish in interdisciplinary venues, contribute to educational activities, and develop as a researcher who is comfortable operating at the intersection of computational modelling, organisational decision-making, and Human-Centred Computing.