Summary: We are searching for a motivated postdoctoral researcher to lead the research and development of dataset discovery and data cleaning, and privacy-preserving ML training and inference in data lakes. You will be working alongside a team of excellent PhD & MSc students, and taking part in funding opportunities, in order to build a strong academic CV.

Details: Data-driven enterprises nowadays need to discover, combine and analyze data at the petabyte scale.Data lakes and dataspaces have emerged as pivotal data management infrastructures for organizations aiming to harness vast amounts of data across various system levels and administrative boundaries, particularly enhancing AI/ML capabilities. Data discovery aims at finding a subset of relevant datasets from a data lake that can be combined together and enable deep insights to a given question. Dataset discovery is one of the most intensively discussed data management challenges for big data. In the context of data lakes, current state-of-the-art data discovery methodologies frequently overlook privacy concerns. Yet, ensuring data governance and adherence to stringent regulations like the General Data Protection Regulation (GDPR) is increasingly crucial. The absence of standardized tools and methodologies for managing data privacy and governance within data lakes often leads to underutilization of data assets and compromised analytical outcomes. This challenge calls for the development of comprehensive frameworks that not only facilitate efficient data discovery and utilization but also ensure compliance with privacy regulations. As part of the Web Information Systems (WIS) section, the data management team (https://infinidata-team.github.io/) at TU Delft is interested in tackling exciting challenges of supporting common data science tasks, such as finding additional data for training or validation, and feature engineering. For more research details, please refer to our vision article (https://arxiv.org/abs/2205.09681).

The candidate is expected to lead a team in order to develop a novel data discovery and federated learning systems that integrates human knowledge and analytical goals with dataset characteristics, metadata, and quality. The duties of the postdoctoral researcher include authoring top-tier conference papers, supervising master and PhD students, and design or development of open-source tools.

We are looking for a motivated candidate to join our data management group (Dr. Rihan Hai). You will be part of a very motivated and vibrant group of researchers. Following TU Delft’s multi-annual strategy 2022-2025, 'health' is now a core domain focus for our faculty and we support young researchers pursuing their next career goals.

• You are a highly motivated, independent, and enthusiastic researcher (F/M) with the ambition to conduct high-quality, interdisciplinary research bridging qualitative and quantitative methods;
• You have a PhD in Data management, Data Science, data analytics, Machine learning or a related discipline;
• You are fluent in English and have good communication skills (essential);
• You thrive in a collaborative and multidisciplinary environment and look forward to interacting with researchers and experts in different domains;
• You have experience in developing software tools or systems.

Fixed-term contract: 2 years.

Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities. The TU Delft offers a customisable compensation package, discounts on health insurance, and a monthly work costs contribution. Flexible work schedules can be arranged.

For international applicants, TU Delft has the Coming to Delft Service. This service provides information for new international employees to help you prepare the relocation and to settle in the Netherlands. The Coming to Delft Service offers a Dual Career Programme for partners and they organise events to expand your (social) network.

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 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.