PhD Candidate in Computational Cardiac Modelling and Arrhythmia Risk Prediction

PhD Candidate in Computational Cardiac Modelling and Arrhythmia Risk Prediction

Our goal: Within the Vamp MD project, CARIM and FHML aim to advance personalised risk prediction for cardiac arrhythmias. As a PhD candidate, you contribute to this ambition by connecting mechanistic, organ level cardiac models with population level risk modelling.

Your colleagues: You will be embedded in the Cardiovascular Research Institute Maastricht (CARIM) and work closely with a multidisciplinary team of clinicians, experimental electrophysiologists and AI researchers across the Netherlands, the United Kingdom (Dr. Fu Siong Ng) and France (Dr. Laura Bear). In Maastricht, you will work alongside a fellow PhD candidate who covers the clinical analysis side of the project.

What you do
You are the primary computational modeller of the Dutch team in an international consortium. Your research focuses on integrating electrical and structural cardiac data and translating mechanistic insights into improved risk prediction models. Your tasks and responsibilities are:

• Develop patient specific organ level cardiac models integrating ECGI with MRI/CT derived structural data.
• Extend population level Markov models for sudden cardiac death risk using novel electro structural features.
• Connect organ level mechanistic insights with population level risk prediction as the core contribution of your PhD.
• Validate models using clinical outcomes, experimental data and epidemiological datasets.
• Support ECGI data collection at Maastricht UMC+.
• Collaborate with international partners in France and the United Kingdom.
• Publish scientific papers and present your work at conferences.

The project includes international research visits and extended collaboration with partners abroad, including an extended research visit to IHU-Liryc Bordeaux for experimental validation.

Are you ready to set the course for the years ahead? Then we’d love to meet you.

What you bring
We’re not looking for checkboxes; we’re interested in who you are and what you bring. Do you recognize yourself in this?

• Master’s degree in (Bio)medical Engineering, Clinical Technology, Applied Mathematics, Physics, Computer Science or a related computational field (Medical Doctors with

computational expertise are also encouraged to apply).

• Strong programming skills (e.g. Python, MATLAB, C++).
• Experience with or strong interest in computational and mathematical modelling.
• Interest in cardiac physiology and disease mechanisms.
• Excellent written and spoken English (Dutch is beneficial but not required).
• Strong analytical skills and the ability to work independently within an international team.

Postdoctoral Researcher: the role of stress in recovery after mild traumatic brain injur

Postdoctoral Researcher: the role of stress in recovery after mild traumatic brain injury.

• Our goal: In this research project, you will investigate the role of stress in the recovery from mild traumatic brain injury (mTBI). Although most individuals are expected to recover fully, approximately one in four experience persistent post-concussion symptoms that can interfere with daily functioning, including returning to work. Neurobiological factors, such as initial injury severity, alone cannot fully explain the persistence of these symptoms. Instead, biopsychosocial models suggest that stress may play a critical role.
• Your colleagues: The Neuropsychology section’s research focuses on the complex yet fascinating relationships between the brain and behavior. We have various research lines that address biological, physiological, affective, and psychosocial aspects in a life span perspective, as well as congenital and acquired neurological issues.

You will work in a challenging academic position within a dynamic and multidisciplinary research team. Together with your colleagues you will have the opportunity to play a role in innovation in research in neuropsychology. On top of that you will work in an inspiring working environment at Maastricht University, where education and research are closely connected to societal impact.

What you do
As a postdoctoral researcher, you will design and implement an experimental study investigating stress responses in individuals with and without persistent symptoms following injury, as well as in healthy control participants. You will employ a standardized stress induction paradigm to assess both objective measures (e.g., cortisol levels) and subjective measures (e.g., self-report questionnaires) of stress.

You will take a leading role in all phases of the project, including the preparation and submission of ethics applications, the coordination and execution of data collection, and the management and analysis of this complex dataset. You will be responsible for interpreting findings within a biopsychosocial framework and disseminating results through high-quality peer-reviewed publications. In addition, you will supervise and mentor internship students contributing to the project, supporting their involvement in data collection and related research activities.

Are you ready to set the course for the years ahead? Then we’d love to meet you.

What you bring
It’s not about ticking boxes – it’s about who you are and what you bring. Do you recognise yourself in this profile?

• Strong academic foundation – You hold a PhD in neuropsychology or a related field that aligns well with the focus of this project.
• Experienced researcher – You bring solid experience in designing and conducting experimental research in neuropsychology.
• Affinity with patient-oriented research – You are motivated to work with patient populations and value the impact of research on clinical contexts.
• Interest in stress research – Experience in stress-related research is a plus and sparks your curiosity.
• Analytically strong – You have well-developed skills in data analysis and enjoy working with complex datasets.
• Well-organised and reliable – You combine excellent organisational skills with a structured and careful way of working.
• Clear communicator – You communicate effectively with colleagues, students, and partners, both verbally and in writing.
• Collaborative team player – You enjoy working together in a team and contribute constructively to a supportive research environment.
• Comfortable in an international setting – You are proficient in English; knowledge of Dutch is an advantage.
• Academic mindset – You demonstrate academic-level thinking and working, with a reflective and critical approach to research.

Postdoctoral Researcher in Non-Invasive Brain Stimulation and Cognition

What you do
This position focuses on the functional role of neural oscillations and the mechanism of oscillation-network-coupling in cognition and contributes to the ERC Advanced Grant project FLOW. FLOW investigates how oscillating body-brain states structure our cognition. The project combines non invasive brain stimulation (TMS/tACS), EEG, fMRI, and physiological recordings to test mechanistic models of oscillatory dynamics and neural network routing in attention, memory, and cognitive control.
You will contribute to the design and implementation of multimodal experiments and help integrate work across related PhD subprojects within FLOW. The position offers room for scientific independence while remaining closely aligned with the overarching aims of the project.

In this position, you will be responsible for:

• Designing and implementing experiments on oscillations and cognition
• Collecting and analysing multimodal data (TMS/tACS, EEG, fMRI, physiology) using appropriate statistical and computational methods
• Writing scientific publications and presenting findings at conferences
• Collaborating with PhD students and other researchers within the group and providing supervision of student projects where relevant
• Helping maintain a collaborative and supportive lab environment

Are you ready to set the course for the years ahead? Then we’d love to meet you.

What you bring
We are looking for a researcher with strong methodological skills and a clear interest in neural dynamics of cognition. You work independently, take responsibility for structured experimental workflows, and contribute constructively to a collaborative research environment.

The position requires the following qualifications:

• A completed PhD in a relevant field: A doctoral degree in cognitive neuroscience, psychology, biomedical sciences, neuroimaging, neuromodulation, or a related discipline. Experience with neuroscience of cognition and/or translational clinical applications Demonstrated expertise in studying neural oscillations / neural network accounts of cognitive processes and/or having an interest in translating brain stimulation approaches to clinical applications.
• Experience with non-invasive brain stimulation (TMS/tACS): Hands on experience with stimulation methods in human participants, including experimental implementation.
• Experience with EEG and/or fMRI: Familiarity with acquisition and analysis of EEG, fMRI, or related neuroimaging methods; experience with multimodal combinations is considered an advantage.
• Experimental and analytical skills: Experience with experimental design, data collection, and data analysis using tools such as Python or MATLAB.
• Scientific writing and independence: Proven ability to independently design and execute studies and communicate findings in scientific writing (English).
• Supervision and collaboration: Experience supervising students or supporting junior researchers, and the ability to work effectively in a multidisciplinary team.

Postdoctoral Researcher Stand2Learn

Postdoctoral Researcher Stand2Learn

Ons doel: Met het Stand2Learn project richten we ons op het verminderen van langdurig zitgedrag in het hoger onderwijs en het versterken van het mentale welbevinden van studenten. Door het ontwerpen, implementeren en evalueren van een interventie dragen we bij aan een gezondere leeromgeving binnen HBO en WO.
Jouw collega’s: Je wordt aangesteld bij de vakgroep Voeding en Bewegingswetenschappen van de Faculty of Health, Medicine and Life Sciences (FHML) aan de Universiteit Maastricht. Je werkt samen met een interdisciplinair onderzoeksteam van Universiteit Maastricht en de Open Universiteit, en stemt regelmatig af met onderwijsinstellingen en studenten op twee locaties in Nederland.

Jouw rol
Als postdoc ontwerp en evalueer je een interventie gericht op minder zitten en meer welzijn bij studenten. Je werkt nauw samen met de doelgroep, brengt behoeften en kansen in kaart en vertaalt deze naar een toepasbare aanpak. Vervolgens onderzoek je de effecten van de interventie op zitgedrag, mentaal welbevinden en studieresultaten, onder andere in Maastricht en mogelijk in Groningen.

Wat jij doet
In deze rol combineer je wetenschappelijke diepgang met maatschappelijke impact. Je:

• zet kwalitatief en kwantitatief onderzoek op en voert dit uit;
• voert zowel een effect als procesevaluatie uit;
• analyseert en interpreteert onderzoeksdata;
• rapporteert resultaten in wetenschappelijke en niet wetenschappelijke publicaties;
• stemt af en communiceert met samenwerkingspartners en het projectteam;
• werkt samen met studenten en onderwijsinstellingen aan een praktijkgerichte interventie.

Ben jij klaar om bij te dragen aan gezonder studeren in het hoger onderwijs? Dan ontmoeten we je graag.

Wat jij meebrengt
Het gaat ons niet om vinkjes, maar om wie jij bent en wat jij meebrengt. Herken jij jezelf hierin?

• Onderzoeksachtergrond: je bent gepromoveerd in gezondheids , gedrags of bewegingswetenschappen, zoals gezondheidswetenschappen, (gezondheids)psychologie, bewegingswetenschappen, onderwijswetenschappen, public health of een vergelijkbaar domein.
• Methodologische expertise: je hebt aantoonbare ervaring met zowel kwalitatieve als kwantitatieve onderzoeksmethoden.
• Participatief werken: je vindt het belangrijk om wensen en behoeften van onderzoeksdeelnemers actief mee te nemen.
• Inhoudelijke affiniteit: je hebt affiniteit met onderzoek naar beweeg en zitgedrag en/of mentaal welbevinden.
• Innovatieve methoden: je hebt ervaring met Ecological Momentary Assessment of bent bereid je dit snel eigen te maken.
• Samenwerken & organiseren: je werkt zelfstandig én in teamverband, communiceert sterk en hebt goed organisatievermogen.
• Mobiliteit & taal: je bent bereid binnen Nederland te reizen (Maastricht–Groningen) en beheerst het Nederlands en Engels goed, mondeling en schriftelijk.

PhD Candidate: Next-gen Consumer Experiences with Immersive Technologies

PhD Candidate: Next-gen Consumer Experiences with Immersive Technologies

• Our goal: Understand how immersive technologies shape consumer experiences and decision-making.
• Your colleagues: As a PhD candidate, you will join a collaborative and interdisciplinary research team working on immersive technologies and digital experiences. The supervisors and research environment will provide:
  
  • Close supervision and mentoring throughout the PhD project
  • Access to state-of-the-art immersive research facilities
  • Opportunities to collaborate with researchers and industry partners through the LIT Network
  • Support for publishing research and presenting at international conferences
  • Training through the University’s doctoral program and opportunities to develop teaching experience

You will be employed at the Department of Marketing & Supply Chain Management at Maastricht University School of Business and Economics. The PhD project is conducted in collaboration with Zuyd University of Applied Sciences and positioned within a joint university initiative called the Limburg Immersive Technologies (LIT) Network. You will be supervised by Prof. Dr. Dominik Mahr, Dr. Tim Hilken, Dr. Jonas Heller (UM), and Dr. Danny Dai-In Han (Zuyd). In the PhD project, you will:

• Study how immersive technologies can be used to design and stage service interactions in highly experiential contexts such as food service, hospitality, and retail.
• Investigate the immersive experiences afforded by different media and devices, such as wearable AR/VR headsets or a Cave Automatic Virtual Environment (CAVE).
• Examine how multisensory elements in AR/VR (visual, sound, touch, and smell) as well as integrated AI agents influence consumer value, decision-making, and well-being.
• Conduct lab experiments and field studies with AR/VR technologies and consumers in service settings such as food service, hospitality and retail to establish effects on consumer perceptions, thoughts, emotions, choices and other behaviors.

Research environment
You will conduct your research in two research labs equipped with AR/VR devices as well as a Cave Automatic Virtual Environment (CAVE). These lab environments are continuously evolving through collaboration with technology development partners. Together, these labs provide a unique infrastructure for conducting both lab and field studies.

• DEXLab (Maastricht University School of Business and Economics)
• FXL Food Experience Lab (Zuyd University of Applied Sciences)

The PhD position is also embedded in a regional impact initiative called the Limburg Immersive Technologies (LIT) Network, which connects researchers, industry partners, and public organizations working on immersive technologies. This setting allows you to combine academic research with real-world experimentation together with regional partners and contributes to innovation in the regional ecosystem.

Specific Activities

• Conducting research studies with human participants in AR, VR, and CAVE environments
• Collecting and analyzing behavioral, survey, qualitative, and/or performance data
• Supporting the management and operation of the research facilities, including lab operations and communication activities related to DEXLab and the FXL Food Experience Lab
• Contributing to activities within the LIT Network, including collaboration with partners and involvement in funded research and innovation projects
• Publishing in peer-reviewed journals and presenting findings at international conferences
• Writing and completing a PhD dissertation within four years
• Teaching business courses focused on marketing, services, and/or innovation.

What you bring
We are looking for a motivated and curious candidate with a strong interest in human behaviour in immersive digital environments. You should have a (Research) Master’s degree in a relevant field such as marketing, psychology, communication science, human–computer interaction, education or learning sciences, innovation management, or a related discipline. You enjoy conducting independent research while working in a research team and are organized and proactive in managing research activities and collaborations. Experience with (immersive) technologies is welcome but not required. Programming or engineering skills are not required, as the project focuses on understanding user experience and behavioural mechanisms rather than developing the underlying technology. The essential qualifications include:

• A completed Master’s degree (or near completion) in a relevant discipline
• Training in research methods (experimental, quantitative, qualitative, or mixed methods)
• Strong interest in immersive technologies and AI
• Professional proficiency in English (minimum C1)
• Dutch language proficiency is a plus (or willingness to learn)