Managementassistent Faculteitsbestuur SBE

Als Managementassistent vorm je samen met een collega het professionele hart van het faculteitsbestuur. Jullie werken nauw samen, stemmen werkzaamheden goed op elkaar af en zorgen ervoor dat de ondersteuning van de directeur bedrijfsvoering en de decaan altijd soepel verloopt. Dankzij jouw overzicht, servicegerichte instelling en organisatietalent kunnen bestuurders zich richten op hun kerntaken.

Geen dag is hetzelfde. Je beweegt je gemakkelijk tussen strategische overleggen, praktische regelzaken en contact met uiteenlopende stakeholders binnen en buiten de faculteit.

Jouw taken

• Het proactief ondersteunen van de directeur bedrijfsvoering en de decaan.
• Het coördineren van faculteitsbestuursvergaderingen: van planning en agendaopstelling tot verslaglegging en het bewaken van actiepunten.
• Complex agendabeheer voor de decaan en directeur bedrijfsvoering.
• Het fungeren als aanspreekpunt voor studentenverenigingen en hen waar nodig ondersteunen.
• Het organiseren van jaarlijkse evenementen en bijeenkomsten.
• Het verwelkomen van nieuwe medewerkers en gasten, inclusief ontvangst, toegangsvoorzieningen, ICT-aanvragen en werkplekinrichting.
• Het ondersteunen van processen rondom hooglerarendossiers.
• Deelname aan diverse projecten binnen de faculteit en VU-brede initiatieven.
• Het opstellen en verzorgen van correspondentie, waaronder benoemingsbrieven.
• Het verwerken en bewaken van financiële administratieve zaken zoals facturen en declaraties.
• Het beheren van voorraden en facilitaire zaken.

Junior or Postdoc Researcher: Label2Scale - Supporting Safe and Equitable Access to Health Apps

Join us!
Health apps and other person-centred digital health technologies are increasingly central to sustainable health systems, improved care, and public health. Yet their benefits are not equally accessible: people who use health apps tend to be younger, more highly educated, more affluent, and more digitally literate. How can we verify the efficacy, quality, and safety of health apps—and ensure that users can make informed choices regardless of their background or level of digital health literacy?

The Horizon Europe project Label2Enable (2022–2024), involving several ASCoR colleagues, developed a standardized quality assessment framework and user-friendly quality label for health apps. The label provides accessible information on key dimensions of app quality, including the veracity of health benefit claims, safety, ease of use, data security, and software quality. Label2Scale builds on this work, with the aim of supporting the equitable uptake and effective use of the label across diverse user groups.

Your tasks
You will contribute to the broader research programme by designing and conducting an eye-tracking experiment investigating how the design, placement, size, timing, and visual presentation of quality labels in an app-store environment shape users’ attention and understanding, with a particular focus on people with low levels of (digital) health literacy. You will also liaise with stakeholders across the international consortium and disseminate findings transparently to both academic and practitioner audiences, in line with the open science principles of the Label2Scale project.

Tasks:

• Design the research study outlined above based on a thorough literature review and in consultation with the project supervisers and relevant stakeholders within the Label2Scale consortium
• Conduct the research adopting experimental methods including survey and eye-tracking methodologies
• Prepare findings, materials and data for publications in academic journals, and for internal reports to diverse stakeholders within the Label2Scale project following agreed upon open science principles;
• present your work at (inter)national conferences;

What you have to offer
The ideal candidate has strong quantitative and experimental research skills and an interest in digital health, (digital) health literacy, and equity. Experience with eye-tracking, user-centred design, and/or health-app evaluation is an advantage. The candidate should be able to work independently while collaborating effectively in an international, interdisciplinary consortium, and should have excellent English communication skills and a strong commitment to open science. Candidates who hold either a (research) master’s or PhD degree may apply.

What we offer you
The position concerns temporary assignment of 19 hours per week for a maximum term of one year starting January 1st 2027 as part of or in addition to your current employment contract. The assignment may be combined with another postdoctoral project or with teaching duties (current position as Researcher or Teacher). In consultation with the project team, it may also be possible to complete the project in a shorter timeframe by working more hours per week.

You will work in this team
The project will be supervised by Dr. Christin Scholz and Dr. Annemiek Linn. You will be part of the program group Persuasive Communication the Amsterdam Center for Health Communication/ACHC, and the greater Label2Scale consortium.

Junior or Postdoctoral Researcher: Digital Decision Support for Health-App Recommendations

Join us!
Health apps and other person-centered digital health technologies have the potential to improve healthcare and public health. Yet, their benefits are not distributed equally. People who use health apps tend to be younger, more highly educated, more affluent, and more digitally literate. At the same time, healthcare professionals may be more likely to recommend apps to people with a higher socioeconomic position. This is a concern because people with lower health literacy often depend strongly on professional guidance when making decisions about digital health technologies. Many healthcare professionals, however, report that they lack the knowledge, confidence, or practical tools to determine whether a health app is appropriate for a particular individual. This may reinforce existing inequalities in access to safe, effective, and suitable digital health support.

Your tasks
You will contribute to the development and evaluation of a digital decision-support tool that enables healthcare professionals to assess, within the time constraints of a consultation, whether a labelled health app is suitable for an individual patient or user. The tool will be developed in close collaboration with European partners who contribute complementary expertise in health equity and public health, healthcare-professional competences, and patient perspectives.

Tasks:

• Co-develop and conduct empirical research to evaluate the decision-support tool (in terms of feasibility, usability, acceptability, and potential value in clinical practice) as described in the vacancy text in collaboration with the project supervisers and members of the broader consortium.
• Analyse and translate research findings into recommendations for implementation, healthcare-professional training, and the further development of the tool
• Collaborating and communicating with interdisciplinary consortium partners and disseminating findings through scientific publications, project deliverables, and practice-oriented outputs, in line with open-science principles.
• present your work at (inter)national conferences;

What you have to offer
The ideal candidate has strong quantitative and qualitative research skills and an interest in digital health, (digital) health literacy, and equity. Experience with user-centred design is an advantage. The candidate should be able to work independently while collaborating effectively in an international, interdisciplinary consortium, and should have excellent English communication skills and a strong commitment to open science. Candidates who hold either a (research) master’s or PhD degree may apply.

What do we offer you
The position concerns temporary assignment of 19 hours per week for a maximum term of one year starting January 1st 2027 as part of or in addition to your current employment contract. The assignment may be combined with another postdoctoral project or with teaching duties (current position as Researcher or Teacher). In consultation with the project team, it may also be possible to complete the project in a shorter timeframe by working more hours per week.

You will work in this team
The project will be supervised by Dr. Christin Scholz and Dr. Annemiek Linn. You will be part of the program group Persuasive Communication the Amsterdam Center for Health Communication/ACHC, and the greater Label2Scale consortium.

Junior Researcher AI for Youth Interventions Research

Building a methodologically sound pipeline from raw data to treatment policy
You will coordinate and (co-)develop the design, implementation, and execution of the GenAI-assisted data extraction pipeline, including coding structure, benchmarking GenAI outputs against the reference data set, and integration into a Shiny app. This pipeline uses large language models to automatically extract case characteristics and information on symptom changes from single-case experimental design (SCED) studies. In SCEDs, treatment effectiveness is studied on a level of a single client using repeated observations of symptom change.

You will work closely with several investigators (clinical researcher, information scientist), a software engineer and a student assistant. Next to building a pipeline, you will share your findings with the research community through open-access code, a Shiny web application, a scientific article and a conference presentation.

What are you going to do
Under supervision, with input from the team and with a student assistant:

• Design and implement a GenAI-assisted pipeline to extract study and case characteristics from published PDF articles using large language models.
• Develop and refine prompting strategies to reconstruct symptom trajectories from graphs embedded in scientific publications.
• Benchmark automated GenAI outputs against a high-quality manually coded reference dataset to assess accuracy and identify error patterns.
• Build an interactive Shiny application that allows researchers to inspect and validate extracted data alongside original figures.
• Present findings at a conference and contribute to an open-access paper.

What do you have to offer

• You have a master-level degree.
• You have a critical thinking level, preferably with affinity for data science, research methodology, clinical psychology, or a related field.
• You have affinity with coordinating research projects and collaborating in a team or you would like to further develop your skills in these areas.
• You can translate, under supervision and in team collaboration, a complex technical plan into concrete steps.
• You have experience with R or Python and feel comfortable working with large language models or you would like to develop your skills further in these areas.
• You ask critical questions about AI output rather than taking results at face value.
• You communicate clearly — with your colleagues, the student assistant, and in writing for a scientific audience.

What else do we offer you
We offer a stimulating and interdisciplinary working environment, with a diverse range of tasks within an inspiring organization. Working at the University of Amsterdam means working in a dynamic, independent, creative, innovative, and international environment, characterized by an open atmosphere.

In this department, you will work
The Research Institute of Child Development and Education (RICDE) is part of the Faculty of Social and Behavioural Sciences at the University of Amsterdam. Dedicated to advancing knowledge on the development, learning, and well-being of children, the institute integrates cutting-edge research with real-world applications to impact education and care. We offer a dynamic environment paired with an informal and supportive atmosphere. You will work in an enthusiastic and warm team where initiative and input are highly valued.

The junior researcher will become part of MetaSCED lab. The lab is embeded in the Clinical Child and Family Studies group at the Research Institute of Child Development and Education (RICDE). Check out the program group via https://cde.uva.nl/research/child-development/clinical-child-and-family-studies/clinical-child-and-family-studies.html

PhD in Automated Spectroscopy of Photoactive Molecules and Thin Films

Self-driving lab platform for photochemical and porosity research
Join a highly interdisciplinary project with the spectroscopy at its core at the University of Amsterdam that brings together photophysics, spectroscopy, automation, flow technology and functional materials supervised by a team of passionate experts: Dr Tomáš Šolomek, Dr Bettina Baumgartner, and Prof Tim Noël.

The project aims at establishing a self-driving platform based on RoboChem, extending its capabilities to research in porous and photoactive materials. You will first implement new reliable and quantitative diffusion-ordered optical spectroscopy that will permit rapid and automated determination of fundamental photochemical parameters, such as optical spectra, quenching, or quantum yields. This will aid and abet discovery of new systems for photoactivated chemotherapy. Second, you will develop a flow-based ATR-UV–Vis spectroscopy platform that follows the formation of porous or photoactive thin films in real time. By measuring both polarization directions, you will determine how molecular building blocks become oriented during film growth, and how the films respond to external perturbations, such as molecular guests, light or charge. The focus will be on organic cages and metal–organic framework (MOF) thin films as key material classes.

The broader goal is to create robust, automated set of spectroscopic tools that connect molecular structure and organization, their properties and function.

This is what you are going to do

• Design and build flow setups using 3D printer, pumps, valves operated by a computer and the corresponding software.
• Develop flow cells to connect various spectroscopic tools to the setup.
• Create and validate reproducible automated workflows for quantitative photophysical measurements to obtain optical spectra and quantum-yields.
• Implement AI methods to search in the parameter space that affects the measured data and translate the observations into mechanistic insight.
• Develop a controlled flow system for in situ ATR-UV–Vis spectroscopy including polarization and use it to monitor the formation, orientation, and evolution of porous or photoactive thin films.
• Turn the developed methods into robust, documented and transferable experimental workflows, analyse the resulting multidimensional datasets, publish the results and collaborate closely with the supervisory team and colleagues.

This is what we ask of you
You enjoy experimental research and want to work at the interface of physical chemistry, spectroscopy, photochemistry and instrumentation. This is a heavily hands-on oriented position: you will not only measure samples, but also build, automate, troubleshoot and improve the setup and ensuing workflows.

• You have a Master's degree in chemical engineering, physical chemistry, materials science, or a closely related field.
• You have hands-on experience with building experimental setups, ideally involving experimental spectroscopy, and can prepare and handle molecular solutions and photosensitive samples accurately and reproducibly.
• You are comfortable working with optics, fluidics, detectors, light sources or related laboratory hardware.
• You are interested in instrument automation and quantitative data analysis. Experience with Python, LabVIEW, or Matlab for instrument control/data processing is required, but you do not need to be an expert at the start.
• You can document experiments carefully, work safely with chemical samples and solvents, and communicate results clearly with collaborators from different scientific backgrounds.
• Strong initiative and passion for science.
• Open to collaborate with students (BSc/MSc), PhDs and postdocs involved in related project and research groups within and outside the Netherlands.

This is what we offer you
You will work on a project in which building new experimental capability is itself a central scientific contribution. You will have room to develop expertise in quantitative photophysics, optical spectroscopy, laboratory automation, flow systems and functional thin-film materials, while working with supervisors who bring complementary expertise.

You will become part of supportive and collaborative research groups (Šolomek group, Baumgartner group, and Noël group) where curiosity and creativity are highly valued. We celebrate scientific progress—whether it’s a successful synthesis, a clever analysis, or a shared insight over coffee. You will have regular individual meetings with your supervisors with an open-door policy to ensure you have guidance when needed and space to grow independently.

You’ll have access to excellent facilities for state-of-the-art self-driving platforms and spectroscopy, and also organic and materials synthesis. We value personal development: you will receive training in flow chemistry and automation, advanced spectroscopy, data analysis (e.g., Python or MATLAB), and scientific communication. You’ll have the opportunity to attend conferences, contribute to publications, and co-supervise Bachelor’s and Master’s students—building both your research and mentoring skills.

The preferred starting date is from January 1, 2027. You will get a temporary contract for 38 hours per week for the duration of 4 years (the initial contract will be for a period of 18 months and after satisfactory evaluation it will be extended for a total duration of 4 years). This should lead to a dissertation (PhD thesis). We will draft an educational plan that includes attendance of courses and (international) meetings. We also expect you to assist in teaching undergraduate and master students.

The gross monthly salary, based on 38 hours per week and ranges between €3,204 (1st year) to €4,051 (last year), scale P. This does not include 8% holiday allowance and 8,3% year-end allowance. The UFO profile Promovendus is applicable. A favourable tax agreement, the ‘30% ruling’, may apply to non-Dutch applicants. The Collective Labour Agreement of Dutch Universities is applicable.

Besides the salary and a vibrant and challenging environment at Science Park we offer you multiple fringe benefits:

• 232 holiday hours per year (based on fulltime) and extra holidays between Christmas and 1 January;
• multiple courses to follow from our Teaching and Learning Centre;
• multiple courses on topics such as leadership for academic staff;
• multiple courses on topics such as time management, handling stress and an online learning platform with 100+ different courses;
• 7 weeks birth leave (partner leave) with 100% salary;
• partly paid parental leave;
• the possibility to set up a workplace at home;
• a pension at ABP for which UvA pays two third part of the contribution;
• the possibility to follow courses to learn Dutch;

Are you curious to read more about our extensive package of secondary employment benefits, take a look here.

This is where you will work
The Van 't Hoff Institute for Molecular Sciences (HIMS) is one of eight institutes of the University of Amsterdam (UvA) Faculty of Science. HIMS performs internationally recognized chemistry and molecular research, curiosity driven as well as application driven. This is done in close cooperation with the chemical, flavor & food, medical and high-tech industries. Research is organized into four themes: Analytical Chemistry, Computational Chemistry, Synthesis & Catalysis and Molecular Photonics.

The Faculty of Science has a student body of around 8,000, as well as 1,800 members of staff working in education, research or support services. Researchers and students at the Faculty of Science are fascinated by every aspect of how the world works, be it elementary particles, the birth of the universe or the functioning of the brain.