Postdoc in Scalable and Secure AI in Data Lakes

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.

Requirements:

• 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.

Salary Benefits:

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.

36 - 40 hours per week

Mekelweg 2