Research Assistant Position: The Computer Vision Center (CVC) is seeking a Research Assistant to join the LAMP group for a project focused on “Label-Efficient Continual Learning in Open World Scenarios”. This role offers an opportunity to contribute to cutting-edge research in computer vision and machine learning.
Research Assistant Position in Technical Support at Computer Vision Center
Designation
Research Assistant in Technical Support for LAMP Group
Table of Details
| Field | Details |
|---|---|
| Research Area | Computer Vision, Machine Learning |
| Location | Universitat Autònoma de Barcelona, Spain |
| Salary | 25,000 € annual gross |
| Working Hours | Full-time (37.5h/week) with flexible working hours |
| Contract Duration | 6 months |
Eligibility/Qualification
- Education: Master’s degree in Information Technology, Computer Science, Artificial Intelligence, Data Science, Machine Learning, Robotics, or related fields. Candidates enrolled in a PhD program will be positively valued.
- Essential Knowledge:
- Previous experience in Domain Generalization
- Experience with Transformers architecture and PEFT methods
- Good programming skills in PyTorch
- Additional Knowledge:
- Professional experience in Domain Adaptation
- Proficiency in Python programming
- Competences:
- Fluency in English
- Strong independent working skills
- Initiative and decision-making abilities
Description
The selected candidate will collaborate on the CLOWS Project (PID2022-143257NB-I00), focusing on research tasks such as data preparation, online code publication, and writing papers for international conferences. The role aims to contribute significantly to advancements in domain generalized semantic segmentation.
How to Apply
Interested candidates must submit their applications via the online form indicating the offer code 20260112_CLOWS. Applications should include a full CV and contact details.
Last Date to Apply
January 21, 2026
This scholarship offers a unique opportunity to engage in pioneering research and enhance skills in a vibrant academic environment.
