Postdoctoral research position
The Computer Vision Center (CVC) is a non-profit research center established in 1995 by the Generalitat de Catalunya and the UniversitatAutònoma de Barcelona (UAB). Its mission is to carry out cutting-edge research that has the highest international impact in the field of computer vision. It also promotes the transference of knowledge to industry and society.
Computer vision is an exciting research area and an omnipresent technology, essentially empowering machines with the sense of vision. The CVC is a successful marriage between knowledge and innovation. In addition to our cutting-edge scientific achievements, we have established lasting ties with industrial partners and created several spin-off companies.
Context and Mission:
The Computer Vision Center (CVC) has a vacancy for a postdoc to work in the frontier between document intelligence and privacy preserving learning.
The position is linked to the European Lighthouse on Secure and Safe AI (ELSA) project https://elsa-ai.eu/, funded by European Union’s Horizon Europe research and innovation programme.
The successful candidate is expected to contribute to the design and development of AI solutions for document understanding, and in particular on Document Visual Question Answering systems, employing privacy preserving techniques and infrastructures set up by the ELSA project.
The candidate is expected to have extensive experience in at least one of: document intelligence and/or private and robust collaborative learning (differential privacy, federated learning), and an appetite to learn.
- Conduct a review with a focus on the development of a privacy preserving framework for document understanding.
- Lead the definition of new benchmarks and metrics for privacy preserving methods in document intelligence.
- Support with the design and development of a new methods for Document Visual Question Answering (DocVQA)
- Contribute to the relevant objectives and deliverables of the project.
- Participate and contribute to the relevant communication and dissemination activities of the project.
- Author relevant to the project publications and reports.
- Assist in the administrative tasks of the project.
The candidate must have a PhD degree from a recognised EU University or equivalent.
Postdoctoral experience and a strong publication record in topics related to the project will be evaluated positively.
The position requires strong English oral and writing skills as the candidate will be interacting with a team of international researchers. The job will include providing several progress reports in English.
Experience with participation in research projects, especially EU projects, will be evaluated positively.
- Excellent analytical skills.
- Proven ability to work independently as well as in teams.
- Strong motivation to contribute to good working and social environment.
- The position will be located at Computer Vision Center (Campus Universitat Autònoma de Barcelona).
- We offer a full-time contract, a good environment, flexible working hours
- Duration: between 30 and 36 months, depending on the start date.
- Salary: €40,000 annual gross, according to CVC labor categories.
- Starting date: September - October 2022
Applications procedure and process:
- All applications must include a full CV in English including contact details and a Cover Letter with a statement of interest in English.
Submission deadline: vacancy will remain open until suitable candidate has been hired. Applications will be regularly reviewed and potential candidates will be contacted.
OTM-R principles for selection processes
The CVC is committed to Open Transparent and Merit-based Recruitment (OTM-R) for any potential candidate in all our processes. In 2015 we received the Human Resources Strategy for Researchers (HRS4R) award. Through an extensive and continuous process, we improve the conditions and opportunities at CVC. With these actions, the CVC is committed to the principles of the European Charter for Researchers, as well as the Code of Conduct for the Recruitment of Researchers.
For more information follow this link
“This project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement No 101070617”.