EHRI/GRAPHIA Software Developer - NIOD

NIOD and the European Holocaust Research Infrastructure (EHRI) are looking for a versatile and enthusiastic software developer to contribute to a variety of platforms for the exploration of historical materials. EHRI’s main objective is to enable new research into the Holocaust by bringing together and connecting dispersed historical sources, and by encouraging collaborative research through the development of online tools. A key responsibility will be representing NIOD and EHRI in the GRAPHIA project and integrating EHRI’s platforms with the GRAPHIA Knowledge Graph and AI infrastructure.

The ideal candidate will be keen to use innovative new tools and technologies to advance the state of Open Data in Holocaust research and the Humanities. They will be comfortable switching between different programming languages and environments in order to get the job done, and have a well-developed understanding of full-stack web development, modern front-end techniques, and accessible web design. They will be adept at liaising with both technical and non-technical stakeholders to understand how software systems can serve their needs, and able to deliver professional, well documented code.

EHRI’s code is available on Github under open-source licenses. We use a variety of technologies, including Linux, PostgreSQL, MySQL, Neo4j, Scala (Play Framework), Java, PHP (WordPress, Omeka Classic), Python, and JavaScript/TypeScript (VueJS).

What will you do?

• Contribute in a collaborative manner to new and existing open source platforms aimed at researchers, archivists, historians, and the general public, implementing features, fixing bugs, and identifying areas for improvement
• Represent NIOD and EHRI in external consortium projects such as GRAPHIA, attending online and in-person meetings and workshops
• Contribute to project deliverables, documentation, and dissemination activities
• Provide cover for colleagues when needed, including in limited areas of system administration and technical support

Student Assistent Afterlives of Slavery - Meertens

Wat houdt de functie in?

Afterlives of Slavery is een project over de doorwerking van de slavernij in het heden. De ‘doorwerking’ van de slavernij verwijst naar de blijvende gevolgen van slavernij, met name voor de nakomelingen van tot slaaf gemaakten en hun gemeenschappen. Uit eerder onderzoek blijkt dat doorwerkingen zich kunnen manifesteren in de vorm van raciale ongelijkheden en trauma, maar ook in een verstoorde relatie met de voorouders. Veel nazaten willen daarom graag meer weten over hun familiegeschiedenis, soms vanwege psychische problemen, soms om meer over hun herkomst te leren. Tegelijkertijd zijn de voorouders voor velen ook spirituele wezens die een actieve rol kunnen spelen in het heden. Met andere woorden, de voorouders zijn complexe verschijnselen die zowel immanente (lichamelijke, mentale) als bovennatuurlijke (geestelijke) banden met het verleden bewerkstelligen. Hoewel er steeds meer belangstelling is voor de voorouders, is er tot nu toe geen onderzoek gedaan naar de rol van de voorouders in processen heling. In dit project ontwikkel je samen met de projectleider, een Winti priesteres, een psychiater, en de Vereniging voor Surinaamse Genealogie een etnografische methode om dit voorouderonderzoek op een holistische manier te kunnen uitvoeren.

Samen met de projectleider ga je een reeks van 15 experts selecteren en interviewen op het gebied van religie (bijvoorbeeld Winti en Brua), psychologie/psychiatrie, en genealogie. Je helpt bij het uitwerken en de analyse van de interviews. Daarnaast ondersteun je de projectleider bij het organiseren van een tweedaagse retraite met (een deel van) deze experts, een symposium, en een workshop. Je schrijft mee aan twee artikelen voor wetenschappelijke tijdschriften.

PhD candidate SlimmeBurger (SmartCitizen)

What you will be doing

For the TKI funded project SlimmeBurger (aka “Smart citizen”) we are looking for an enthusiastic PhD candidate. The project SlimmeBurger, aims to investigate, in collaboration with citizen scientists, the extent to which smart monitoring methods can be used to investigate the ecological status of smaller -often unmonitored- water bodies. These water bodies make up one-third of the total number of water bodies in the Netherlands, but they are often not subject to standard monitoring, nor are they included in the mitigation plans for the EU Water Framework Directive, the most important regulation for surface waters.

Because small water bodies are often the first point of entry for sources of pollution such as manure runoff (rural areas) or sewage overflows (urban areas), they also offer a starting point for a direct, source-oriented approach. In the SlimmeBurger project, the prospective PhD student will be testing smart measurement methods for water quality (using scalable toolkits like the GUPPY from partner WaterInsight), ecological processes (primary productivity and decomposition rates), and greenhouse gases (3D-printed flux chambers), and investigating how we can use citizen science-driven data streams for model development.

The partners in the SlimmeBurger project contribute knowledge from nature development and multifunctional land use (Dekker Group and Leisurelands), citizen measurement campaigns and healthy water for citizens (RIVM, Natuur en Milieu), and smart measurement methods (NIOO and WaterInsight).

Tenure-track principal investigator position - Hubrecht Institute

The Hubrecht Institute invites applications for a tenure-track group leader position. We are interested in candidates with curiosity-driven, original research plans in the domain of molecular and developmental biology (or connected domains) that can synergize with ongoing research in the institute. We especially welcome applications from female candidates and candidates from underrepresented backgrounds.

We offer

• A tenure-track position for junior group leaders in a vibrant, outstanding scientific environment.
• An attractive start-up package.
• Competitive salary and fringe benefits, including options for flexible working arrangements. The Dutch government has programs for family support. See our website for more information on working in the Netherlands and support for families.
• A transparent and fair tenure evaluation process.
• An environment with active programs on career development, sustainable science, and inclusivity-diversity-safety.

Fairification steward LTER-LIFE - NIOO-KNAW - Wageningen

To turn ecology in a predictive science and start building digital twins in a virtual research environment (VRE), the data and models that form the very foundation of digital twins and other innovative digital ecological research need to be made FAIR, digital twin- and VRE-ready. This is not an easy task. For data, this is because of several reasons: 1) there is no clear overview of the ecological data landscape in the Netherlands, 2) data exist in a wide variety of formats and structures, and 3) the volume of possibly relevant datasets is enormous. Some developments and tasks within LTER-LIFE are trying to help overcome these constraints (e.g., the development of the Veluwe Metadata Portal) or direct attention and/or priority to relevant datasets (e.g., the co-development of scientific use cases with researchers), but there is still a lot of ground to cover.

What you will be doing
As FAIRification steward you have a dynamic role with the sole purpose to help overcome the FAIR data bottleneck and support researchers in making their data FAIR. In collaboration with the relevant partners in WP2 and WP4 of LTER-LIFE, the tasks of the FAIRification steward include:

Creating a data longlist
You will scout the data landscape and contact researchers and data organisations to find and learn about relevant datasets. They will ask data holders to register their datasets in the appropriate platforms (e.g., Waddenregister or Veluwe Metadata Portal) themselves or help them if necessary.

Making data FAIR
You will create reproducible workflows to make datasets FAIR. These may include datasets that have a direct use through scientific use cases, datasets registered via metadata platforms such as the Veluwe Metadata Portal, or other datasets marked as high priority by the data rescue protocol.

The setting in which the FAIRification steward works on these tasks will depend on the dataset involved; this could be as consultant for a data owner, as data manager at the data owner’s premises or at the LTER-LIFE offices at NIOO-KNAW in Wageningen.