Teamleider HR Legal

Als Teamlead HR Legal geef je leiding aan een klein team van ervaren professionals: twee juristen/beleidsadviseurs arbeidsrecht, een paralegal arbeidsrecht, een adviseur Sociale Zekerheid, een adviseur arbeidsverhoudingen en de coördinator functiewaardering. Het team maakt onderdeel uit van de Corporate HR-afdeling van WUR.

In deze rol zorg je voor structuur, samenhang en een cultuur van kennisdeling en professionele groei binnen het team. Je coördineert de beleidscyclus en bewaakt dat cao-afspraken en regelingen duidelijk, werkbaar en correct worden uitgevoerd, inclusief kennisdeling via het WUR Support Portal. Je bent de verbindende schakel tussen je team, management en andere stakeholders, fungeert als sparringpartner voor de HR-directeur en stimuleert een sterke samenwerking van jouw team met de overige teams binnen Corporate HR.

Jouw werkzaamheden

• Je geeft leiding aan het team HR Legal en zorgt voor structuur, samenhang en een cultuur van kennisdeling en professionele groei. Je adviseert het management strategisch over arbeidsvoorwaardelijke onderwerpen en bewaakt de samenhang met de organisatie brede HR-koers.
• Je coördineert de vertaling van cao-afspraken, relevante wetgeving en maatschappelijke ontwikkelingen naar duidelijk, werkbaar en goed uitlegbaar beleid en zorgt ervoor dat de beleidscyclus wordt doorlopen van het initiëren of herzien van HR-beleid tot en met communicatie richting medewerkers en correcte archivering.
• Je coördineert de inzet voor de cao-onderhandelingen van Wageningen Research en levert inhoudelijke bijdragen. Ook neem je deel in de werkgeversdelegatie.
• Je volgt ontwikkelingen op het gebied van arbeidsvoorwaarden scherp en vertaalt die naar strategische adviezen.
• Je bent een stevige sparringpartner voor de HR-directeur bij vraagstukken rond arbeidsvoorwaarden en arbeidsverhoudingen.
• Je stimuleert een proactieve samenwerking van jouw team met de overige teams binnen Corporate HR.
• Je borgt de verantwoordelijkheid die je team heeft rond het voeren van secretariaten (klachtencommissie, geschillencommissie, vakbonden/ medezeggenschap, cao-delegatie) op een correcte, tijdige en efficiënte wijze wordt uitgevoerd

Je rapporteert direct aan de directeur HR en bent lid van het MT HR

Postdoc In ‘Reactive CFD modelling of hydrogen-based direct iron reduction’

Direct reduced iron (DRI) using hydrogen has been extensively investigated as the most promising green ironmaking method, driving by both applications of Iron Power (using iron powder as energy carrier) and decarbonization of steel industry. Despite extensive research, the commercialization of this technology is still hampered by knowledge gaps in fundamental understanding of the micron-sized cohesive particle behavior in reactive multiphase flows at scales. In this project, we will combine the state-of-the-art experimental diagnostics with advanced CFD modelling to:

• Experimentally characterize the sticking and sintering behavior of iron (oxide) powders at elevated temperatures
• Link particle-scale phenomena to large-scale process dynamics in fluidized and spouted beds.

With this integrated approach, we aim to deliver a robust foundation for improved process design and industrial-scale optimization. In collaboration with a PhD at TUHH focusing on experimental characterization, this PD at TU/e will work on development and application of advanced numerical modelling, including both coupled CFD-DEM and TFM. Focus is on coupled CFD-DEM, which has been established in previous research projects of Prof. Tang.

As a postdoc, you also have opportunities in applying research funding and mentoring junior researchers.

PhD in Super-Resolution microscopy of clinical biopsies for precision medicine

Super-resolution optical imaging has transformed cellular and molecular biology allowing to visualize biological process at the molecular level. However, translating these powerful techniques to clinically relevant samples and precision medicine remains a major scientific and technological challenge. This PhD project aims to bridge this gap by developing and applying super-resolution microscopy to study cancer biomarkers at the nanometer and single-molecule level in real patient material.

In this project, you will:

• work with cell line models and lung cancer biopsy samples in close collaboration with clinicians at the Catharina Hospital in Eindhoven
• set up and optimize advanced imaging strategies to visualize and quantify cancer-related biomarkers with unprecedented spatial resolution.
• - combine cutting-edge microscopy with quantitative data analysis, you will investigate how molecular organization and heterogeneity at the nanoscale relate to targeted drug mechanisms of action and individual patient responses.

Precision medicine-matching each patient with the most effective treatment-remains one of the grand challenges in oncology. Despite the availability of targeted therapies, patient responses vary widely, and the molecular origins of treatment resistance are often poorly understood. This project addresses this challenge by introducing novel imaging approaches capable of revealing subtle, nanoscale differences in biomarker expression and organization that are invisible to conventional techniques. Your research will contribute to a deeper understanding of therapy response and resistance and may lay the groundwork for new diagnostic and stratification tools with direct impact on healthcare.

The project is embedded in the Nanoscopy for Nanomedicine group at Eindhoven University of Technology and builds on the group’s strong expertise in super-resolution microscopy and quantitative bioimaging. It is carried out within the framework of the EuroTech University Alliance and involves close collaboration with EPFL (Lausanne, Switzerland). A 6-month research secondment at EPFL is planned, offering an international research experience and exposure to complementary expertise in advanced microscopy and biomedical imaging.

During this PhD you will be trained in state-of-the-art optical microscopy, quantitative image analysis, and interdisciplinary research at the interface of physics, biology, and medicine, preparing you for a career in academia, industry, or clinical technology development.

Postdoc Researcher in AROMA Project

Job description

Overview:

Reducing alcohol content in beverages without compromising flavour remains a major scientific and industrial challenge. Alcohol plays a key role in flavour perception and aroma release, and its reduction fundamentally alters the sensory experience of beverages such as beer, wine, and spirits. Understanding and predicting these changes requires new computational approaches that link molecular composition and human sensory perception.

TU Delft, as part of the national Big Chemistry initiative and the AROMA consortium, offers a post-doctoral position focused on developing data-driven models in this field. The post-doctoral candidate will work at the interface of machine learning, cheminformatics, and sensory science, in close collaboration with academic and industrial partners.

Methodological Approach:

The postdoctoral researcher will develop and apply state-of-the-art machine learning techniques, including, representation learning and graph-based approaches for molecular data. A strong emphasis is also placed on iterative testing of the models.

Environment and Training:
The position will be part of the Delft Bioinformatics Lab, which is part of the Department of Intelligent Systems within the Faculty of Electrical Engineering, Mathematics and Computer Science. In the position it is expected to manage multiple academic and industrial consortium members and to contribute to the academic lab environment in Delft. The research environment and tasks will be tailored to provide a unique training opportunity for the post-doctoral candidate.

Candidate Profile

We seek highly motivated candidates with a PhD in computer science or a related field, and a strong interest in flavour applications. Experience in graph machine learning, geometric machine learning, and high-dimensional molecular data analysis is required. Ideal candidates are curious, independent, and excited to tackle complex, interdisciplinary research questions.

Start-date: Beginning to mid-March

Job requirements

• PhD in Computer Science
• Strong background in graph-based machine learning
• Strong background in geometric machine learning
• Experience with high-dimensional molecular data analysis
• Strong interest in flavour applications
• Strong analytical thinking and problem-solving skills
• Interest in supporting the growth of an academic lab and contributing to education
• Intellectual curiosity, independence, and motivation to tackle open-ended problems with real-world impact
• Excellent interpersonal and communication skills
• Excellent in working independent and collaboratively in an interdisciplinary team

TU Delft (Delft University of Technology)
Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.

At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.

Challenge. Change. Impact!

Faculty of Electrical Engineering, Mathematics and Computer Science
The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three scientific disciplines. Combined, they reinforce each other and are the driving force behind the technology we all use in our daily lives. Technology such as the electricity grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. In other words: there is plenty of room at the faculty for ground-breaking research. We educate innovative engineers and have excellent labs and facilities that underline our strong international position. In total, more than 1000 employees and 4,000 students work and study in this innovative environment.

Click here to go to the website of the Faculty of Electrical Engineering, Mathematics and Computer Science.

Beleidsmedewerker Portefeuille Onderwijs

Beleidsadviseur Portefeuille Onderwijs

Ons doel: Samen zorgen we voor een toekomstgerichte onderwijsstrategie die impact maakt binnen FHML, MUMC+ en de regio.
Jouw collega’s: Je werkt nauw samen met de vice-decaan onderwijs, je collega beleidsadviseurs, Marketing & Communicatie en strategische partners binnen en buiten de universiteit.

In deze rol ben jij de verbindende schakel tussen visie en uitvoering. Je werkt op het snijvlak van strategie, beleid, samenwerking en communicatie. Je ondersteunt bij het ontwikkelen van strategisch onderwijs- en opleidingsbeleid, bereidt bestuurlijke overleggen voor en zorgt dat strategische keuzes worden vertaald naar beleid en uitvoering. Je signaleert kansen voor samenwerking, versterkt de externe profilering en faciliteert onderwijsinnovatie, waaronder digitale ontwikkelingen.

Wat jij gaat doen

• Meeschrijven aan visie- en strategiedocumenten voor onderwijs en opleiden.
• Voorbereiden van bestuurlijke overleggen, vergaderstukken en vastlegging.
• Signaleren van kansen en risico’s in samenwerking tussen FHML, MUMC+ en UM-brede partners.
• Opzetten en uitwerken van inhoudelijke, tactische en operationele samenwerking op het gebied van onderwijs en opleiden tussen FHML en azM/MUMC+.
• Ondersteunen bij regionale en landelijke positionering van FHML/MUMC+-onderwijs.
• Faciliteren van projecten op het gebied van onderwijsinnovatie en AI-toepassingen.
• Organiseren van werkconferenties, netwerkevenementen en stakeholderbijeenkomsten.
• Adviseren over strategische communicatie en stakeholdermanagement.

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

• Analytisch en strategisch sterk: Je vertaalt complexe inhoud naar concrete handelingsperspectieven.
• Communicatief vaardig: Je schrijft helder en adviseert overtuigend.
• Bestuurlijk sensitief: In staat belangen, timing en positionering goed aan te voelen.
• Verbindend en netwerkgericht: Je brengt professionals, beleidsmakers, zorgpartners en bestuurders samen.
• Opleiding: Een afgeronde WO-opleiding, bij voorkeur in gezondheidswetenschappen, onderwijskunde, bestuurskunde of communicatie.
• Gewenste ervaring: Beleidsontwikkeling in hoger onderwijs, zorg of een aanverwant domein.
• Gevraagde competenties: Strategische communicatie, stakeholdermanagement en bestuurlijke processen.