PhD:Untrimmed Video Analysis: A prestigious PhD position is open under the AEI Program “Ayudas para contratos predoctorales para la formación de doctores,” sponsored by the MCIU/AEI and ERDF, UE, as part of the “Generacion del Conocimiento 2023” project AWESOME. The research focuses on leveraging prior knowledge to unveil the temporal structure of untrimmed videos, with aims to improve temporal action segmentation, localization, and anticipation through advanced machine learning techniques.
PhD Scholarship Opportunity: Connecting Past, Present, and Future in Untrimmed Video Analysis
Designation
PhD Student (FPI)
Research Area
Temporal Sequence Encoding in Computer Vision
Location
Institut de Robòtica i Informàtica Industrial, CSIC-UPC
C/ Llorens i Artigas 4-6, 08028, Barcelona, Spain
Eligibility/Qualification
- Qualifications:
- A double degree in Mathematics and Informatics OR
- A degree in Computer Science, Physics, Engineering, or Mathematics plus a Master in AI, Applied Mathematics, Computer Vision, or similar fields.
- Other:
- Female candidates are strongly encouraged to apply.
Job Description
| Role | Responsibilities |
|---|---|
| Develop an unsupervised hierarchical representation of videos | Develop methodologies suited for downstream tasks requiring high levels of temporal abstraction. |
| Acquire and represent prior knowledge | Acquire and model prior knowledge about the unfolding of events. |
| Deploying prior knowledge at inference time | Work on tasks of temporal action localization, segmentation, and anticipation. |
- Contract Type: 4-year full-time
- Salary: ~€19,500 gross in the first year, ~€23,700 gross from year 2 to 4.
- Additional Benefits: €7,000 for enrollment fees and international research stays.
How to Apply
- Application Requirements:
Submit your CV and academic transcripts. - Reference: Remember to reference the offer (ID-131).
- Contact:
- Email: jobs@iri.upc.edu
- Address: C/ Llorens i Artigas 4-6, 2a planta. 08028 Barcelona, Spain.
- Fax: 93 401 57 50
Last Date to Apply
September 30, 2024
Seize this opportunity to contribute to cutting-edge research in the exciting field of video understanding through this comprehensive PhD program. Join us in pushing the boundaries of what is possible in temporal sequence encoding.
