RSS feed source: NIST Buildings & Construction
As NIST’s National Construction Safety Team nears the end of its investigation, it has released a video update that highlights significant milestones and preliminary findings.
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RSS feed source: NIST Buildings & Construction
UP Postdoctoral Fellowship Programme
UP Postdoctoral Fellowships for recent doctoral graduates from UP or any other university. Two years, renewal subject to satisfactory progress.
UP Co-funded Postdoctoral Fellowships for recent doctoral graduates from UP or any other university. Two years, renewal subject to satisfactory progress.
VALUE
R250 000 per year for UP PhD and Postdoctoral Fellowships
R125 000 per year for the UP Co-funded Postdoctoral Fellowship (The supervisor must contribute at least R125 000 per year for two years)
The UP Postdoctoral Constitution gives more details about the conditions of postdoctoral fellowships at UP. The application form and detailed information on the call can also be obtained from Ms Mpho Maithufi via email: [email protected]
The deadline for submission of applications to the Faculties is 25 August 2025.
Deadline for Faculties to submit only recommended and ranked applications to the Department of Research and Innovation is 19 September 2025.
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RSS feed source: NIST Buildings & Construction
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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RSS feed source: NIST Buildings & Construction
Using an advanced Monte Carlo method, Caltech researchers found a way to tame the infinite complexity of Feynman diagrams and solve the long-standing polaron problem, unlocking deeper understanding of electron flow in tricky materials.
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