Overview
KTH Royal Institute of Technology in Stockholm, Sweden, is currently seeking candidates for a PhD position in Machine Learning. This role is supervised by Professor Danica Kragic and presents a unique opportunity to engage in cutting-edge research aimed at digitalizing the sense of smell. The project integrates concepts from artificial intelligence, chemistry, and neuroscience, making it a significant addition to the AI/ML community.
Background & Relevance
The intersection of machine learning with sensory perception is an emerging field that holds great promise for advancements in various applications, including robotics, health monitoring, and environmental sensing. By focusing on olfactory perception, this research aims to develop models that can replicate human-like smell recognition. This is particularly relevant as the demand for sophisticated sensory technologies continues to grow in both academic and industrial settings.
Key Details
- Application Deadline: October 15, 2025
- Location: KTH Royal Institute of Technology, Stockholm, Sweden
- Research Focus: Olfactory perception, AI, chemistry, neuroscience
- Application Link: KTH Job Posting
Eligibility & Participation
This PhD position is targeted at candidates with a strong background in machine learning, AI, or related fields. Ideal applicants should possess a keen interest in multimodal representation learning and embodied AI, as well as a willingness to explore interdisciplinary approaches.
Submission or Application Guidelines
Interested candidates should follow these steps to apply:
1. Visit the application link provided.
2. Review the job description and requirements.
3. Prepare the necessary application materials as specified.
4. Submit your application before the deadline of October 15, 2025.
Additional Context / Real-World Relevance
The ability to model and represent olfactory perception has far-reaching implications. It can enhance the development of artificial noses for various applications, from food quality assessment to environmental monitoring. This research aligns with broader trends in AI, where the integration of multiple sensory modalities is becoming increasingly important for creating intelligent systems that can interact with the world more naturally.
Conclusion
This PhD opportunity at KTH Royal Institute of Technology represents a significant step for those interested in the convergence of machine learning and sensory perception. Candidates are encouraged to apply and contribute to this innovative research area, which promises to push the boundaries of what is possible in AI and its applications. Explore this unique opportunity and share it with others who may be interested.
Category: PhD & Postdoc Positions
Tags: machine learning, kth, olfactory perception, multimodal ai, embodied ai, foundation models, neuroscience, chemistry
