ppOrganisation/Company Consejo Superior de Investigaciones Científicas (CSIC) Department Instituto de Óptica "Daza de Valdés" Research Field Computer science Researcher Profile First Stage Researcher (R1) Positions Master Positions Application Deadline 1 Sep 2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract Other Type of Contract Extra Information ndefinite-term contract for scientific-technical activities, based on article 23 bis of Law 14/2011, of 1 June, on Science, Technology and Innovation, and other regulatory regulations. Job Status Full-time Hours Per Week 37,5 Offer Starting Date 1 Sep 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No /ph3Offer Description /h3pThis position entails working in the project V4NN, a collaborative project funded by the Fundamentos Research Program of the BBVA Foundation. This program aims to support exploratory research into central or foundational questions within a scientific field or at the intersection of several disciplines. Within the area of Mathematics, Statistics, Computer Science, and Artificial Intelligence, the project “Harnessing Vision Science to Overcome the Critical Limitations of Artificial Neural Networks (V4NN),” co-directed by Marcelo Bertalmío of the Spanish National Research Council (CSIC), was selected in the last call for proposals.



/ppThe fundamental question this project addresses is how to overcome the most critical limitations of artificial neural networks (ANNs), limitations that can be characterized as an inability to emulate basic human vision skills. /ppDespite significant advances in deep learning-based computer vision systems, many limitations still exist. The main objective of this project is to advance the state of the art of deep learning-based computer vision systems, improving their accuracy, robustness, efficiency, and providing better explainability. We target the core of deep neural networks and propose a new bio-inspired artificial neuron model, improving the building blocks of deep learning systems. /ppbThe tasks to be performed with the contract are the following: /b /pulliDesign new components for ANNs using cutting-edge vision science findings and techniques that go beyond the standard model. /liliOptimize ANN components using key experimental results from visual psychophysics as training data. /liliValidate and fine-tune the new ANNs for core computer vision problems. /liliWrite scientific articles and present at conferences. /li /ulh3Requirements /h3pResearch Field All Education Level Master Degree or equivalent /ppSkills/Qualifications /pp- Masters degree in Data Science, Computer Science, Artificial Intelligence, Mathematics, or related discipline. /ppSpecific Requirements /pp- Experience in programming artificial neural networks. /ppLanguages ENGLISH Level Excellent /ph3Additional Information /h3pSelection process /p /p #J-18808-Ljbffr

📌 RESEARCH POSITION FOR COMPUTER VISION PROJECT (España)
🏢 Consejo Superior de Investigaciones Cientificas (CSIC)
📍 España