| 20-12-2022 |
Prerequisites:
IIC2026
Evaluation method: Nota 1-7, with 0/1 available vacants |
Mentor(s): Open in the plataform |
| 02-07-2021 |
Prerequisites:
None.
Evaluation method: Nota 1-7, with 0/1 available vacants |
Mentor(s): Open in the plataform |
| 27-12-2018 |
Virtual Reality Applications for Astrophysics
Numerical simulations are used to model complex astrophysical systems, from planetary systems to accretion discs around black holes. Many times, it is a challenge to analyse and even view the simulation data. Our group has already developed 360-degree animations that place the viewer at the position of the Milky Way's central black hole <https://youtu.be/YKzxmeABbkU>, or in the middle of two stars passing by each other. We are now interested to go one step further, and develop virtual reality (VR) applications, in which the user can move freely through the simulated system and manipulate it. We are looking for a student interested in actively participating in this development, using our VR hardware. While there are no formal requirements, we expect the student to have good programming skills and to be able to communicate in English. Experience and/or a strong interest in VR, Astrophysics, or digital animation will be considered a plus.
Keywords:
VirtualReality
hidrodinámica
visualización
Astronomia
astronomy
simulación numérica
astrofísica
astrophysics
virtual reality
realidad virtual
VR
black holes
agujeros negros
numerical simulation
hydrodynamics
visualisation
Prerequisites:
None.
Evaluation method: Nota 1-7, with 0/2 available vacants |
Mentor(s): Open in the plataform |
| 07-12-2018 |
Visualization to support planning of courses
The/the applicant shall develop a display that allows to observe and support the process of academic planning. Among the parameters to consider planning a view of potential stops schedules, impact of these caps, and an estimate of enrollments and flow of students on the basis of historical data and data from the directorate of undergraduate, considering students of different majors.
Prerequisites:
None.
Evaluation method: Nota 1-7, with 0/2 available vacants |
Mentor(s): Open in the plataform |
| 24-04-2018 |
Research in Deep Learning
Various opportunities for research, focused on the study and the application of Deep Learning in diverse areas: * Visual recognition: image classification, image segmentation, generation of images with GANs * Intelligent transport systems: autonomous vehicles and connected, speed estimate, and detection of anomalies, intelligent control and adaptive traffic lights, systems of recommendation to passengers of public transport. * Theory of Deep Learning: regularization networks convolucionales, catastrophic forgetting, characterization of functions of loss, interpretability.
Prerequisites:
None.
Evaluation method: Nota 1-7, with 0/10 available vacants |
Mentor(s): Open in the plataform |