Administratief medewerker salarisadministratie

Administratief medewerker salarisadministratie

• Ons doel: Samen met je collega’s ervoor zorgen dat maandelijks de gehele payroll van meer dan 5.000 medewerkers goed verloopt.
• Jouw collega’s: De afdeling Personeel- en Salarisadministratie (PSA) is onderdeel van het Service Center Finance. PSA bestaat uit 16 medewerkers en houdt zich bezig met alle loongerelateerde administraties.

Als Administratief medewerker salarisadministratie pak je samen met je collegas de volgende taken op:

• Het beoordelen, controleren en afhandelen van ingediende declaraties.
• Het opstellen, controleren en verstrekken van werkgevers- en intentieverklaringen.
• Het telefonisch en schriftelijk informeren/adviseren van medewerkers en externe betrokkenen.

Ben jij klaar om koers te zetten voor de komende jaren? Dan ontmoeten we je graag.

Wat jij meebrengt
Je bent een enthousiaste teamspeler met een hands-on mentaliteit. Je bent proactief, gestructureerd, resultaatgericht en nauwkeurig. Tevens verwachten we het volgende van je:

• In het bezit van minimaal een afgeronde MBOopleiding, niveau 4, op het gebied van Finance of Bedrijfsadministratie.
• Enkele jaren relevante werkervaring.
• Kennis van Microsoft Office.
• Goede schriftelijke en mondelinge uitdrukkingsvaardigheden in het Nederlands en Engels.
• Kennis van SAP is een pré.

PhD Position in Neuro-Musculoskeletal Cell-Materials Atlas

PhD Position in Neuro-Musculoskeletal Cell-Materials Atlas

• Our goal: Integrating spatiotemporal imaging, lineage-resolved cell tracing, and spatially resolved single-cell transcriptomic and proteomic profiling to map how extracellular material environments shape neuro-musculoskeletal tissue development and regeneration.
• Your colleagues: An interdisciplinary team of biologists, chemists, and engineers within the MERLN Institute.

We are seeking a highly motivated PhD candidate to develop a cell-materials atlas of neuro-musculoskeletal development and regeneration. The project will investigate how musculoskeletal, neurovascular, and immune cell populations interact with dynamic extracellular environments during tissue formation and repair. To address this, the PhD candidate will combine human stem cell-based 3D in vitro models with datasets from organismal studies, building on recent advances in developmental atlases, spatial omics, and multimodal computational analysis.

A central focus of the project will be the integration of spatiotemporal imaging, lineage and cell tracing, and single-cell spatial multi-omics, including transcriptomic and proteomic approaches, to resolve how cell states emerge, interact, and reorganize across time and space. AI- and machine-learning-based tools will be used to analyze imaging data, integrate multimodal datasets, map spatial niches, and compare in vitro observations with organismal reference programs.

The project will also develop predictive models of spatiotemporally resolved cell-materials interactions, linking extracellular material properties such as matrix composition, stiffness, degradability, and remodeling dynamics to tissue assembly and regenerative outcomes across musculoskeletal and neurovascular lineages. The resulting atlas will provide a foundation for understanding coordinated neuro-musculoskeletal development and regeneration and for the rational design of biomaterials for multi-tissue repair.

What you bring
It’s not about ticking boxes – it’s about who you are and what you bring to the team. Do you recognise yourself in the following?

• Academically grounded – You hold (or will soon obtain) a Master’s degree in biomaterials, bioinformatics, bioengineering, cell biology, developmental biology, biomedical engineering, or a related field.
• Interdisciplinary mindset – You enjoy working at the intersection of materials science, data analysis, programming and stem cell biology.
• Curious and creative – You are motivated to explore how engineered materials can influence organ development and regeneration.
• Collaborative by nature – You thrive in multidisciplinary and international research environments.
• Strong communicator – You have excellent scientific English skills, both spoken and written. Knowledge of Dutch is not required.

Candidates who have not yet completed their Master’s degree are welcome to apply, provided they clarify the expected completion timeline in their application.

Educational Coordinator with a focus on Data Management

Educational Coordinator with a focus on Data Management

What you do
As Educational Coordinator, you are part of a team that ensures all operational processes underlying education run smoothly, and you support staff in relation to logistical and administrative issues. You are part of the FASoS Teaching & Learning Hub, the faculty’s ‘go to place’ for teaching and learning practice. You are operating in the heart of the faculty. The Teaching & Learning Hub is committed to quality support, policy and research, and offers a platform for relevant experimentation and exploration.

The Educational Coordinator supports the FASoS programme directors. You have responsibilities in the following areas:

• You work closely with programme directors as being part of the curriculum team(s), you are the first contact point for incoming requests on operational and data management tasks related to Bachelor or Master programmes;
• You will be responsible for collecting and analysing relevant educational data, working closely with various colleagues within the faculty.
• You liaise with academic staff as well as support staff of the other departments and clusters such as the Office of Student Affairs, Finance, ICT, Marketing and Communications, P&D, Research Support Office and with external partners (e.g. Student Services Centre, University Library) whenever needed;
• You evaluate and optimize operational processes and data management;
• You support the programme director by organizing the practical side of the curriculum such as education plans, re-accreditations and midterms.

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?

You are proactive and combine strong data management skills with enthusiasm for contributing to a supportive and engaging teaching and learning environment. You have strong communication skills and are able to adapt easily to different working styles and the expectations of stakeholders. You are analytical and result-oriented, able to quickly identify and address data-related issues, recognize inefficiencies, and work in a solution-focused way towards improvements. You are able to maintain overview and work effectively under pressure.

Furthermore, you bring:

• A degree in Applied Sciences or you have reached this level in terms of experience.
• Expertise with data: You have demonstrable experience with data-driven work and know how to apply this in your role (collecting, managing, and analysing educational data).
• Experience with analysis tools: You are proficient in SAP, BI, MS Excel, and general statistical software such as Stata.
• Experience with reporting: You are able to clearly present your findings to colleagues, both orally and in writing.
• Demonstrable experience in organizing, evaluating, and optimizing processes and/or data management.
• Experience in an educational environment is considered an advantage.
• A good command of English and Dutch, both spoken and written.

Postdoctoral Researcher - Cerebral Autoregulation & Biomedical Signal Processing

Postdoctoral Researcher – Cerebral Autoregulation & Biomedical Signal Processing

Our goal: To improve personalised blood pressure management in acute stroke patients through advanced signal-processing methods and innovative physiological modelling.
Your colleagues: You will join a multidisciplinary team of clinical physicists, neurologists, clinical neurophysiologists, engineers and data scientists, working together within Maastricht UMC+ and the Faculty of Health, Medicine and Life Sciences.

Within the PP CONTRAST project, we investigate how dynamic cerebral autoregulation can be used to optimise blood pressure management in patients with acute stroke. By combining advanced biomedical signal processing with clinical expertise, we aim to develop reliable and clinically applicable methods that support personalised treatment decisions.

As a postdoctoral researcher, you will take a leading role in the methodological development and validation of signal-processing techniques for dynamic cerebral autoregulation analysis. You will work with high-resolution physiological datasets that combine continuous blood pressure monitoring and transcranial Doppler ultrasound measurements from both stroke patients and healthy volunteers.
Your research will bridge engineering and clinical practice. Working closely with healthcare professionals and industry partners, you will translate technical findings into clinically relevant insights that can improve patient outcomes and support future innovations in stroke care.

What you do
In this role, you combine scientific leadership, methodological innovation and clinical relevance.

• You develop and validate advanced signal-processing algorithms for dynamic cerebral autoregulation analysis.
• You investigate how measurement duration and analysis strategies influence the reliability of personalised blood pressure estimates.
• You analyse and interpret multimodal physiological datasets.
• You translate technical results into clinically meaningful applications and recommendations.
• You publish findings in international peer-reviewed journals and present your work at scientific conferences.
• You supervise MSc students and support their research development.
• You contribute to ongoing and future grant proposals and research initiatives.

Are you ready to help shape the future of personalised stroke care? Then we would love to meet you.

What you bring
It is not about ticking boxes; it is about your curiosity, expertise and motivation to make an impact. Do you recognise yourself in this profile?
Within our team, collaboration, innovation and scientific excellence are central. We are looking for someone who enjoys solving complex challenges, takes ownership of their work and is motivated by research that directly contributes to better healthcare.

• Analytical and research-driven – You enjoy translating complex datasets into meaningful scientific insights.
• Independent and proactive – You take initiative, organise your work effectively and enjoy driving projects forward.
• Collaborative by nature – You communicate easily with researchers, clinicians and technical specialists from different disciplines.
• Strong technical expertise – You have extensive experience with biomedical signal processing and quantitative data analysis.
• Scientifically engaged – You enjoy publishing your work, presenting results and contributing to the wider scientific community.

In addition, you bring:

• A PhD degree in Biomedical Engineering, Medical Engineering, Applied Physics or a related discipline.
• Proven expertise in biomedical signal processing and physiological data analysis.
• Strong programming skills, for example in MATLAB, Python or comparable environments.
• Experience with analysing physiological signals.
• Affinity with clinical and translational research.
• Experience with scientific writing and publishing.
• Excellent communication skills in English and Dutch are necessary due to the contact with patients.

PhD Candidate in Mass Spectrometry Instrumentation

PhD Candidate Mass Spectrometry Instrumentation

• Our goal: The central goal is to preserve and mass-select intact macromolecular assemblies (MMAs) in the gas phase within a mass spectrometer and gently deposit them onto cryo-EM grids while maintaining their higher-order structure, followed by transfer to cryo-EM for structural analysis. MMAs including protein complexes and viruses, play essential roles in biological systems. Determining their molecular structures with high resolution is critical for understanding health and disease. While single-particle cryogenic electron microscopy (cryo-EM) has revolutionized structural biology, current sample preparation workflows remain a major bottleneck and this project aims to change that.
• Supervision & Research Institute: You will be supervised by Prof. Dr. Ron M. A. Heeren and Dr. Anjusha Mathew and positioned at the M4i-Maastricht MultiModal Molecular Imaging Institute embedded in the Faculty of Health, Medicine and Life Sciences (FHML) at Maastricht University.

What you do
The core focus of this PhD project is the design, development, characterization, and integration of a custom cryogenic soft-landing platform coupled to a mass spectrometer for cryo-EM applications. The project involves the development and optimization of key subsystems, including advanced ion optics, cryogenic module, water vapor deposition system, laser rehydration unit, and imaging detector. These components will be individually designed, constructed, tested, and optimized before being progressively integrated into a fully functional soft-landing instrument for biological applications.

The project is strongly instrumentation- and engineering focused and involves the development of a complex experimental platform combining vacuum technology, ion and charged-particle manipulation and detection, cryogenic and thermal management, mechanical and electronic system design, scientific instrumentation integration, automation, and laser optics. You will work at the innovative interface of native mass spectrometry, cryo-electron microscopy, vacuum engineering, technical physics, and molecular/structural biology.

While the primary emphasis is on instrumentation development and experiementation, you will gradually gain experience in biological macromolecules, protein complexes, and native structural biology throughout the PhD.

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?

This role requires a strong capacity to quickly acquire new knowledge and master new skills. You enjoy hands-on research activities and are able to work independently as well as collaboratively within an interdisciplinary research team. You approach challenges with strong problem-solving skills and creativity. In addition, you are eager to share your research through both oral and written communication.

Furthermore, you bring:

• A master’s degree in Instrumentation Physics, Chemistry, Analytical Science and Technology, or a related subject
• Proficiency in English (C1 or higher)
• Lab experience with physics/chemical/vacuum instrumentation

Other experience / skills that would be helpful for the project:

• Vacuum technology instrumentation
• Mass spectrometry
• Ion beams and ion optics
• Laser optics
• Mechanical design and engineering
• Electronics design and engineering
• Transmission electron microscopy
• Instrument control systems and software
• Programming
• Analytical techniques and methodologies
• Biological sample preparation