Postdoctoral Opportunity in Computer Vision and Machine Learning at Lund University

Date:

Overview

Lund University is inviting applications for a postdoctoral position in the fields of computer vision and machine learning. This role emphasizes research in scene understanding, which includes areas such as semantic segmentation, 3D reconstruction, object modeling, and image categorization. The position is partially funded by the European Research Council’s Consolidator grant SEED and is available for a duration of up to two years.

Background & Relevance

Computer vision and machine learning are rapidly evolving fields that play a crucial role in various applications, from autonomous systems to advanced image processing. Scene understanding is a key aspect of these domains, enabling machines to interpret and analyze visual data effectively. This postdoctoral position aims to contribute to high-impact research, enhancing the understanding and capabilities of AI systems in processing images and video sequences.

Key Details

  • Position Type: Postdoctoral
  • Duration: Up to 2 years
  • Location: Lund University, Sweden
  • Research Focus: Scene understanding, including semantic segmentation, 3D reconstruction, object modeling, and action recognition
  • Funding: European Research Council Consolidator grant SEED
  • Application Link: Apply Here

Eligibility & Participation

Candidates must hold a PhD or an equivalent international degree in a relevant field, completed no more than three years prior to the application deadline. The position is designed for early-career researchers, focusing on the development of research skills and potential.

Submission or Application Guidelines

To apply for this postdoctoral position, applicants should submit the following materials:
– A complete set of original academic records
– A detailed curriculum vitae
– A list of publications
– Names of three senior researchers who can provide reference letters

For further application instructions, please refer to the provided link.

Additional Context / Real-World Relevance

The advancements in computer vision and machine learning are pivotal in numerous sectors, including healthcare, robotics, and entertainment. By focusing on scene understanding, this research position aims to push the boundaries of what AI can achieve in interpreting complex visual environments, which is essential for the development of intelligent systems.

Conclusion

This postdoctoral opportunity at Lund University presents a significant chance for researchers to engage in impactful work within the fields of computer vision and machine learning. Interested candidates are encouraged to apply and contribute to the ongoing research efforts in this dynamic area.


Category: PhD & Postdoc Positions
Tags: computer-vision, machine-learning, lund-university, semantic-segmentation, 3d-reconstruction, object-recognition, image-categorization, research, european-research-council

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