LISCO Innovation Lab - AI Engineer (Postdoc position)

We are looking for a motivated AI engineer with an interdisciplinary interest for computational biology/biotechnology to join the Laboratory of Multi-omics Integrative Bioinformatics (LMIB). The LMIB, headed by Prof. Alejandro Sifrim, is part of the Leuven Institute of Single-Cell Omics (LISCO) and aims to develop novel computational strategies for the analysis of large-scale datasets generated by cutting-edge spatial and single-cell biotechnology platforms, and their applications in a wide variety of biomedical/biological domains. This position is embedded within the Innovation Lab of LISCO, which serves as a hub for interdisciplinary experts in single-cell and spatial (multi-)omics research at KU Leuven and beyond. LISCO stands at the forefront of this revolution, actively reshaping our understanding of the biology of cells in health and disease through single-cell and spatial omics (SCS-omics) technologies. Our aim is to pioneer innovation, application and clinical translation of SCS-omics technologies, together with the University Hospitals (UZ Leuven) as well as industry. Using cutting-edge SCS-omics, we are committed to unravelling the complexities of human development, ageing, and disease biology, with therapeutic potential in the clinic.

Website unit

Responsibilities

We are seeking a motivated postdoctoral researcher to drive development of innovative machine learning/AI strategies for the analysis of large and highly-dimensional biomedical/biological datasets. In this role, you will design novel algorithms, benchmark them against state-of-the-art alternative methods and collaborate closely with our interdisciplinary team of data scientists, technologists and experimentalists. 

Profile

Offer

Interested?

For more information please contact Prof. dr. Alejandro Sifrim, mail: alejandro.sifrim@kuleuven.be.

KU Leuven strives for an inclusive, respectful and socially safe environment. We embrace diversity among individuals and groups as an asset. Open dialogue and differences in perspective are essential for an ambitious research and educational environment. In our commitment to equal opportunity, we recognize the consequences of historical inequalities. We do not accept any form of discrimination based on, but not limited to, gender identity and expression, sexual orientation, age, ethnic or national background, skin colour, religious and philosophical diversity, neurodivergence, employment disability, health, or socioeconomic status. For questions about accessibility or support offered, we are happy to assist you at this email address.