B-0170-22 – Research Grant (BI) – 22/09/2022 – O-0004-LX-16 - RES - Paulo Nunes
|Funding Reference Number:
O-0004-LX-16 - RES - Paulo Nunes
A research position for one Research Grant (“Bolsa de Investigação“) is open at Instituto de Telecomunicações, in the scope of the Project O-0004-LX-16 - RES - Paulo Nunes. Project funded by IT own funds. The work for this position is in the area of visual multi-modal detection using deep learning.
Information and Data Sciences
Multimedia Signal Processing – Lx
The candidate must be enrolled in a PhD programme in Information Science and Technology, Computer Systems Engineering, Electrical and Computer Engineering, Computer Science, or equivalent. The candidate should also have: expertise in image/video processing and machine learning; experience in C/C++/Matlab/Python programming; self-motivation for scientific research; ability for teamwork; fluency in English with good skills in technical writing and presenting.
Research on multiple sensing modalities for assisting in computer vision systems has recently increased, becoming a hot topic. In this context, it has been shown that, by combining different and complementary information from multiple sensors, it is possible to improve the systems’ accuracy and robustness. Therefore, the goal of this research position is to advance the state-of-the-art on visual multi-modal detection using deep learning approaches. To successfully reach this goal, relevant contributions are expected to be made in the following three categories: i) development of multi-sensor fusion techniques; ii) development of anomaly detection solutions, and; iii) development of solutions for target object detection and semantic segmentation.
A fellowship will be celebrated according to “Estatuto do Bolseiro de Investigação”, according to Law no. 40/2004, dated on 18th of August (Status of Scientific Research Fellow - https://www.fct.pt/apoios/bolsas/estatutobolseiro.phtml.pt), in its actual redaction, by Fellowship Regulation of Fundação para Ciência e Tecnologia (https://www.fct.pt/apoios/bolsas/regulamento.phtml.pt), according to Reg. 950/2019, dated on 16th of December, and also by “Regulation of Instituto de Telecomunicações’ fellowships”.
|Place of work:
The work will be developed at the premises of Instituto de Telecomunicações – Delegação ISCTE, under the supervision of Professors Caroline Conti and Luís Ducla Soares.
12 months, with the possibility of renewal (according to the regulations defined by FCT). Start date: November 1, 2022 or soon thereafter.
1.144,64€ according to the table of grant amounts awarded directly by FCT for positions held in Portugal (www.fct.pt/apoios/bolsas/valores) / according to the table of grant amounts awarded directly by Instituto de Telecomunicações. The payment will be made by bank transfer.
Each criteria, and the final classification F will be evaluated in a scale (0-20). The candidates will be ordered according to:
F = C1 x 40% + C2 x 50% + C3 x 10%
In case of a tie, the tied candidates will be ordered according to C1, then C2...
The Jury has the right to not admit any of the candidates that applied for this position whenever they consider that no candidate meets the minimum requirements for the position.
|Communication of the results:
Results will be published at the Instituto de Telecomunicações, Lisboa. The selected candidate will be notified by email.
Required Documents: Cover letter explaining the interest in the position and relevant background, detailed Curriculum Vitae with transcripts, Copy of the relevant certificates (Copy of the Degree Certificate(s), if applicable); and proof of enrollment (or proof of acceptance) in a higher education course or declaration of intention to enroll in a higher education course.
NOTE: The proof of enrollment in a higher education course must be made until the contract is signed.
Apply online clicking on the “Apply Now” button in this form
After the notification of the results, candidates have 10 working days if they wish to contest the decision.
E-mail submissions will not be considered. (The cover letter and the CV are mandatory documents in the online application platform)
All the selection process is conducted through the IT web portal. No actions outside this platform are valid.
23-09-2022 to 07-10-2022