FAIR for AI Project Coordinator

Are you an experienced Project Coordinator with expertise and interest in reproducibility and data and software workflows for machine learning and AI? Then we would love to meet you!

FAIR for AI Project Coordinator

Job description

4TU.ResearchData is looking for an enthusiastic and proactive Project Coordinator to lead a new initiative called Enabling FAIR for AI: Infrastructure for Transparency and Reproducibility of Research Software. In this role, you will shape and drive work that enables researchers to reuse and reproduce data and software more effectively, especially in ML/AI, and in alignment with the FAIR principles.

The project aims to do this by further developing and extending the functionality of Djehuty, which is the open source repository used by 4TU.ResearchData and Nikhef. Key project outcomes will include criteria for a graded badge to assess the quality and reproducibility of data, software and models, a software reproducibility service, and improved deposit, curation and reproducibility workflows. The project will align with broader national and international initiatives related to reproducibility and meet emerging regulatory requirements related to ethical and responsible AI. This work is funded by Open Science NL (part of NWO) as part of its programme to strengthen the infrastructure of open science in the Netherlands.

In this role, you will collaborate closely with project partners from several Dutch institutions (Netherlands eScience Center, Nikhef and University of Twente) and work as part of the 4TU.ResearchData team in the TU Delft Library. You will oversee project and work package management, coordinating both internally and externally to ensure stakeholder alignment and engagement.

Your tasks and responsibilities:

• Overall project coordination: leading the planning and day-to-day management of the project;
• Gathering and synthesising requirements for the development and integration of machine learning and AI functionalities into research data infrastructure services;
• Ensuring alignment with the FAIR principles and ethical AI guidelines;
• Monitoring progress, including project timelines, milestones and deliverables;
• Leading and authoring project deliverables, including reports and guidelines, in collaboration with project partners;
• Organising workshops, meetings and community engagement activities, including with user communities and (inter)national networks related to reproducibility, ML/AI, software and models;
• Supporting the dissemination and promotion of project opportunities and outcomes through documentation, presentations and outreach;
• Lead project administration and reporting, including financial administration of the project for 4TU.ResearchData;
• Contributing to relevant 4TU.ResearchData activities (e.g. community events) and supporting colleagues within the team as required.

About 4TU.ResearchData

4TU.ResearchData is a research infrastructure, community and training provider whose mission is to enable researchers from science, engineering and design disciplines to make a global impact with research data and software. We provide a trusted digital repository which support Findable, Accessible, Interoperable and Reusable (FAIR) data and software by offering curation, sharing, long-term access and preservation. The repository has a broad community of users and supporters who advance FAIR data and software practices. 4TU.ResearchData is governed and led by a consortium of four technical universities in the 4TU.Federation (TU Delft, University of Twente, TU Eindhoven and Wageningen University & Research) and is hosted by TU Delft.

Job requirements

We are looking for enthusiastic candidates who have:

• Demonstrated experience in coordinating large projects, including expertise in project management, administration and reporting;
• Excellent understanding and experience of working in higher education and research contexts, preferably in roles related to research or research services;
• Demonstrated understanding and expertise in machine learning, responsible AI or research data infrastructures. You do not need to be a technical expert, but you should be comfortable working with technical teams;
• Strong organisational skills with a proactive, solution-oriented mindset and the ability to keep complex activities and outputs on track;
• Excellent team-working and collaboration skills, including experience leading or working with multiple project partners, networks and stakeholders;
• Strong personal communication skills, including an ability to engage and communicate effectively with a broad range of stakeholders;
• Affinity with and knowledge of open science and FAIR data/software.

University Corporate Office – TU Delft Library

TU Delft Library is the largest technical-scientific library in the Netherlands, a physical and virtual meeting place. The Library helps to find valuable knowledge needed for education and research, and to publish and store the knowledge generated at TU Delft. We believe it is important that knowledge is easily accessible and freely available to everyone. In this way, knowledge can flow freely and TU Delft's knowledge can become valuable to others.

Conditions of employment

• Duration of contract is 3 years. Temporary.
• A job of 32-40 hours per week.
• A salary based on Scale 12 of the CAO for Dutch Universities with a salary between €5705 - €7297 gross per month based on a fulltime contract (38 hours), plus 8% holiday allowance and an end-of-year bonus of 8.3%.
• An excellent pension scheme via the ABP.
• The possibility to compile an individual employment package every year.
• Discount with health insurers on supplemental packages.
• Flexible working week.
• Every year, 232 leave hours (at 38 hours). You can also sell or buy additional leave hours via the individual choice budget.
• Plenty of opportunities for education, training and courses.
• Partially paid parental leave
• Attention for working healthy and energetically with the vitality program.

Please note that this position is based in the Netherlands (working remotely from abroad is not possible).

As part of knowledge security, TU Delft conducts a risk assessment during the recruitment of personnel. We do this, among other things, to prevent the unwanted transfer of sensitive knowledge and technology. The assessment is based on information provided by the candidates themselves, such as their motivation letter and CV, and takes place at the final stages of the selection process. When the outcome of the assessment is negative, the candidate will be informed. The processing of personal data in the context of the risk assessment is carried out on the legal basis of the GDPR: performing a public task in the public interest.

d.f.bangert@tudelft.nl