KTH Royal Institute of Technology
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3 months ago
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PhD and Postdoc Openings in Machine Learning, Computational Olfaction, and Multimodal Sensing at KTH Royal Institute of Technology KTH Royal Institute of Technology in Sweden
Degree Level
PhD, Postdoc
Field of study
Computer Science
Funding
Multiple fully funded openings are advertised. The post states that the Research Engineer, PhD, and Postdoc positions are fully funded. The research engineer appointment is up to 6 months; the postdoc is a time-limited merit-based appointment for up to 2 years; the PhD position is a salaried doctoral employment under KTH terms.
Deadline
Expired
Country
Sweden
University
KTH Royal Institute of Technology
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About this position
KTH Royal Institute of Technology is advertising multiple openings in machine learning, computational olfaction, multimodal sensing, and digital smell. The project aims to teach machines to understand and model human smell perception, combining representation learning, biosignal processing, EEG, time-series data, large language and multimodal models, and chemical/structural representations.
Openings mentioned in the post include a PhD position, a postdoctoral researcher position, and a research engineer role. The research spans an international and interdisciplinary effort across machine learning, neuroscience, chemistry, and perception research. The KTH job pages indicate that the PhD project is linked to the EU project Digitising Smell: From Natural Statistics of Olfactory Perceptual Space to Digital Transmission of Odors, with one doctoral track focused on EEG/time-series/signal processing and another on computer vision, ML, and video processing.
Research areas and keywords: machine learning, deep learning, multimodal learning, representation learning, computational neuroscience, signal processing, EEG, video, mass spectrometry, text, images, molecular graphs, SMILES, and computational olfaction.
Eligibility highlights: the PhD role requires advanced-level academic eligibility and English proficiency equivalent to English B/6; the postdoc requires a completed PhD, with preference for recent graduates; the research engineer role requires a completed bachelor’s or master’s degree or equivalent competence. Strong programming and ML experience are emphasized, especially Python and frameworks such as PyTorch, TensorFlow, or JAX for the postdoc.
Funding: the post explicitly says the openings are fully funded. The research engineer appointment is up to 6 months, the postdoc is up to 2 years, and the PhD is a salaried doctoral employment under KTH terms.
Application: apply via KTH’s recruitment system using the relevant job link for each role. Prepare CV, degree certificates, transcripts, translations if needed, and a motivation letter; the PhD application also asks for representative publications or technical reports. Deadlines shown in the linked KTH postings are 2026-06-17 for the PhD, 2026-06-26 for the research engineer, and 2026-06-27 for the postdoc.
Funding details
Multiple fully funded openings are advertised. The post states that the Research Engineer, PhD, and Postdoc positions are fully funded. The research engineer appointment is up to 6 months; the postdoc is a time-limited merit-based appointment for up to 2 years; the PhD position is a salaried doctoral employment under KTH terms.
What's required
For the PhD position, applicants must have a second-cycle degree or equivalent, or at least 240 higher education credits with at least 60 credits at advanced level, and English proficiency equivalent to English B/6. Strong experience in time-series data (EEG), signal processing, machine learning, computer vision, video processing, multimodal learning, or related areas is preferred depending on the specific doctoral track. For the postdoc, a PhD or equivalent degree is required by the appointment decision date; preference is given to candidates who earned the PhD within the last three years. Strong backgrounds in deep learning, multimodal data, time-series modeling, chemical/structural representations, Python, and ML frameworks are highly desirable. For the research engineer role, a completed bachelor’s or master’s degree in the relevant subject or equivalent competence is required, along with independence, collaboration skills, and relevant subject knowledge.
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