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Postdocs in Machine Learning for Odor Perception
KTH Royal Institute of Technology

Postdocs in Machine Learning for Odor Perception

2026-06-27 (Europe/Stockholm)
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Sobre el empleador

Since its founding in 1827, KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering un...

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Job description

The postdoctoral researcher will be part of the EU project “Digitising Smell: From Natural Statistics of Olfactory Perceptual Space to Digital Transmission of Odors.” The project aims to digitalize the sense of smell, laying the foundation for understanding how olfaction works in humans and for building AI models that simulate olfactory experiences.

The research will focus on processing and developing representation models for diverse data sources, including time-series data (EEG, video, mass spectrometry), text, images and chemical data (molecular graphs, SMILES strings) related to odorant stimuli.

Qualifications

Requirements

  • A doctoral degree or an equivalent foreign degree. This eligibility requirement must be met no later than the time the employment decision is made.

Preferred qualifications

  • A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline
  • Research experience with deep learning architectures (e.g. Transformers, diffusion models, graph neural networks) applied to multimodal data.
  • Proven expertise in time-series modeling (EEG, video, sensor data) and chemical/structural data representation (e.g. graphs, SMILES strings, molecular embeddings).
  • Familiarity with multimodal representation learning and integration of heterogeneous data sources.
  • Experience with signal processing and statistical modeling of high-dimensional data.
  • Strong programming skills in Python and relevant ML frameworks (PyTorch, TensorFlow, JAX).
  • Demonstrated ability to work in interdisciplinary teams bridging machine learning, neuroscience, and chemistry.
  • Excellent communicative skills and Collaborative abilities
  • Motivation and dedication to research work is a very strong merit
  • Teaching and supervision experience is an advantage
  • Core values are a central part of the employee role for everyone working at the university.

Great emphasis will be placed on personal skills.

Join us at KTH

KTH shapes the future through education, research and innovation. As a leading international technical university, we play an active role in advancing the transition towards a sustainable society. At KTH, you have the opportunity to grow and develop in a creative and dynamic environment, with good working conditions and attractive benefits. Equality, diversity and equal opportunities are essential to quality and form an integral part of KTH’s core values as a university and public authority.

Learn more about our benefits and what it's like to work and grow at KTH.

Trade union representatives

Contact information to trade union representatives.

To apply for the position

Log into KTH's recruitment system to apply for this position. You are responsible for ensuring that your application is complete according to the instructions in the ad.

The application must include:

  • CV including relevant professional experience and knowledge.
  • Copy of diplomas and grades from your previous university studies. Translations into English or Swedish if the original documents have not been issued in any of these languages.
  • Brief account of why you want to conduct research, your academic interests and how they relate to your previous studies and future goals. Maximally two pages long.

Your complete application must be received at KTH no later than the last day of application, midnight CET/CEST (Central European Time/Central European Summer Time).

About the employment

The position offered is for, at the most, two years.

A position as a postdoctoral fellow is a time-limited qualified appointment focusing mainly on research, intended as a first career step after a dissertation.

Other information

For information about processing of personal data in the recruitment process.

It may be the case that a position at KTH is classified as a security-sensitive role in accordance with the Protective Security Act (2018:585). If this applies to the specific position, a security clearance will be conducted for the applicant in accordance with the same law with the applicant's consent. In such cases, a prerequisite for employment is that the applicant is approved following the security clearance.

We firmly decline all contact with staffing and recruitment agencies and job ad salespersons.

Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.

Type of employment: Temporary position
Contract type: Full time
First day of employment: According to agreement
Salary: Monthly salary
Number of positions: 1
Full-time equivalent: 100%
City: Stockholm
County: Stockholms län
Country: Sweden
Reference number: PA-2026-1955
Contact:
  1. Danica Kragic Jensfelt, [email protected]
Published: 2026-05-28
Last application date: 2026-06-27

DESCRIPCIÓN DEL PUESTO

Título
Postdocs in Machine Learning for Odor Perception
Ubicación
Brinellvägen 8 Estocolmo, Suecia
Publicado
2026-05-29
Fecha límite de aplicación
2026-06-27 23:59 (Europe/Stockholm)
2026-06-27 23:59 (CET)
Tipo de trabajo
Guardar trabajo
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