Job Information
- Organisation/Company
- Universitat Pompeu Fabra - ETIC
- Department
- Tecnologies de la Informació i les Comunicacions
- Research Field
- Other
- Researcher Profile
- First Stage Researcher (R1)
- Country
- Spain
- Application Deadline
- Type of Contract
- Other
- Job Status
- Full-time
- Hours Per Week
- 35
- Is the job funded through the EU Research Framework Programme?
- European Union / Next Generation EU
- Reference Number
- AEI-PID2021-127643NB-I00
- Is the Job related to staff position within a Research Infrastructure?
- No
Offer Description
The group is seeking a research assistant who will collaborate in a national project (MICINN/FEDER U project, reference PID2021-127643NB-I00) where we work towards the analysis and understanding of a dynamic scene recorded by a video, from a multimodal perspective.
The tasks associated with this job position are in the context of semantic sports video analysis. In particular, action spotting and video summarization. The goal will also include research and development on domain adaptation and knowledge distillation techniques for adapting some of the existing algorithms within the group to obtain high-quality solutions in other contexts that may include reduced datasets.
The duration of these tasks is estimated for a period of 6 months, but depending on the development of the project it could be extended to 12 in total.
Main research field: Computer vision and machine learning.
Planned remuneration: 31.051,16 € brut / any aprox.
Requirements
- Research Field
- Other
- Education Level
- Master Degree or equivalent
- Master degree in computer vision, computer science, data science, artificial intelligence or similar.
- Prospective applicants should have a strong academic record with solid background in deep learning frameworks, experience in computer vision, a solid mathematical background and software development.
- Proficient in English.
- Good programming skills are expected.
- The expected start date is June 1st, 2023, the job is in Barcelona, and Nie and a work permit is required.
Additional Information
The selection of the candidates will be made through evaluation of the curriculum and, where appropriate, with the carrying out an interview. Valuation will be as follows:
- Academic Background (20 points).
- Professional experience and Adequacy to the proposed profile (60 points): Proven experience in developing/training deep learning architectures for Computer Vision problems.
- Other merits (20 points). Experience in research-oriented projects. Ability to read, understand and be able to use code from research papers of the field.
The minimum score to pass the selection process is 70 points. The candidate with the highest score in the selection process will be offered the job and in case of resignation, the position will be awarded to the next person in order of score obtained.
For more information about the call, how to apply, the list of those admitted and excluded, as well as the hiring proposal, check the website: https://www.upf.edu/web/etic/management
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- Universitat Pompeu Fabra - ETIC
- Country
- Spain
- City
- Barcelona
- Postal Code
- 08018
- Street
- Roc Boronat 138
- Geofield
Where to apply
- Website
Contact
- City
- Barcelona
- Website
- Street
- Roc Boronat 138
- Postal Code
- 08018
- randp.dtic@upf.edurecerca.etic@upf.edu