Author: WeWorldMedia-admin

INESC TEC | Research Grant (AE2025-0278)

Published: 14 July 2025
Categories: Eng Jobs Academic Keys

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Research Opportunities

Perception and Computer Vision

Work description

The automation of internal logistics operations using mobile forklift robots (autonomous stackers) requires advanced visual perception capabilities. The challenge is to develop systems capable of:

Accurately detecting the position where forks should be inserted to handle pallets and shipping boxes. Automatically assessing the condition of pallets to avoid damage to the load or accidents during transport. Ensuring safe and efficient operations in dynamic industrial environments.

Academic Qualifications

Master’s Degree in Electrical and Computer Engineering.

Minimum profile required

Enrollment in a PhD in Electrical and Computer Engineering. Proven experience in R&D projects. Knowledge of ROS (Robot Operating System). Experience in C/C++ programming. Experience with Artificial Intelligence frameworks.

Preference factors

Knowledge of AI and Computer Vision. Experience with RGB-D, Stereo and Structured Light image sensors. Python programming skills.

Maintenance stipend: €

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EPSCoR Research Infrastructure Improvement Program: EPSCoR Research Incubators for STEM Excellence (E-RISE)

Published: 12 July 2025
Categories: NSF Due Dates

RSS Feed Source: Academic Keys

Synopsis

The Established Program to Stimulate Competitive Research (EPSCoR) supports the mission of the U.S. National Science Foundation (NSF) by promoting nationwide scientific progress. Through this program, NSF fosters partnerships among academic institutions, government entities, industry, and non-profits. These collaborations aim to drive long-term improvements in research infrastructure, enhance R&D capacity, and boost the research competitiveness of eligible EPSCoR jurisdictions, including states, territories, and commonwealths. 

A jurisdiction’s research ecosystem is the interconnected network of institutions, organizations, researchers, trainees, community stakeholders, and resources that contribute to the process of research and innovation that advances fundamental knowledge, generates use-inspired products, and ultimately cultivates beneficial societal impacts for a jurisdiction. E-RISE supports hypothesis-driven or problem-driven research and fosters the development of research teams and products in a scientific topical area that aligns with a jurisdiction’s research ecosystem and priorities, as detailed in the jurisdiction’s Science and Technology

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