Postdoctoral Positions in Machine Learning for Olfaction KTH Royal Institute of Technology in Sweden

The KTH Royal Institute of Technology in Stockholm, Sweden, invites applications for postdoctoral positions in Machine Learning for Olfaction. This opportunity is part of the EU project “Digitising Smell: From Natural Statistics of Olfactory Perceptual Space to Digital Transmission of Odors,” which aims to digitalize the sense of smell and advance our understanding of olfaction in humans. The project also seeks to build AI models capable of simulating olfactory experiences, bridging the gap between neuroscience, chemistry, and machine learning.

As a postdoctoral researcher, you will focus on processing and developing representation models for diverse data sources, including time-series data (EEG, video, mass spectrometry) and chemical data (molecular graphs, SMILES strings) related to odorant stimuli. The research environment is highly interdisciplinary, offering collaboration across machine learning, neuroscience, and chemistry. You will work with deep learning architectures such as Transformers, diffusion models, and graph neural networks, applying them to multimodal and high-dimensional data. Expertise in time-series modeling, chemical/structural data representation, signal processing, and statistical modeling is essential.

Applicants must hold a doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline. Strong programming skills in Python and relevant machine learning frameworks (PyTorch, TensorFlow, JAX) are required. The ideal candidate will demonstrate proven research experience with deep learning, multimodal representation learning, and integration of heterogeneous data sources. Excellent communication and collaborative skills, motivation, and dedication to research are highly valued. Teaching and supervision experience is considered an advantage. Awareness of diversity and equal opportunity issues, with a specific focus on gender equality, is expected.

KTH Royal Institute of Technology is a leading international technical university, committed to advancing education, research, and innovation for a sustainable society. The institution offers a creative and dynamic environment, attractive benefits, and good working conditions. The postdoctoral position is full-time, temporary (up to two years), and comes with a monthly salary. The position may be classified as security-sensitive, requiring a security clearance in accordance with Swedish law.

To apply, log into KTH's recruitment system and submit your application by May 17, 2026. Your application should include a CV, diplomas and grades, translations if necessary, and a brief account of your research motivation and academic interests. For further information, contact Professor Danica Kragic Jensfelt at [email protected].

This is an excellent opportunity for early-career researchers with a strong background in machine learning, neuroscience, and chemistry to contribute to cutting-edge research in olfactory digitization and AI modeling. Join KTH and help shape the future of olfactory science and technology.